Ignore:
Timestamp:
19/12/16 16:47:55 (3 years ago)
Author:
mjuckes
Message:

clearing old aerchemmip code

Location:
CMIP6dreqbuild/trunk/src/workbook
Files:
1 added
19 edited
2 moved

Legend:

Unmodified
Added
Removed
  • CMIP6dreqbuild/trunk/src/workbook/choiceCfg.py

    r799 r904  
    4444    title = 'Option set for %s' % cfgid 
    4545    thisClass = 'ConfigurationOptionSet' 
    46     this = {'uid':uid, 'label':label, 'title':title, 'class':thisClass, 'varList':string.join(boussinesqOnly,','), 'optionList':'', 'description':desc } 
     46    this = {'uid':uid, 'label':label, 'title':title, 'choiceClass':thisClass, 'varList':string.join(boussinesqOnly,','), 'optionList':'', 'description':desc } 
    4747    self.choices[uid] = this 
    4848 
     
    6060    title = 'Option set for %s' % cfgid 
    6161    thisClass = 'ConfigurationOptionSet' 
    62     this = {'uid':uid, 'label':label, 'title':title, 'class':thisClass, 'varList':var, 'optionList':'', 'description':desc } 
     62    this = {'uid':uid, 'label':label, 'title':title, 'choiceClass':thisClass, 'varList':var, 'optionList':'', 'description':desc } 
    6363    self.choices[uid] = this 
    6464 
     
    7777    title = 'Option set for %s' % cfgid 
    7878    thisClass = 'ConfigurationOptionSet' 
    79     this = {'uid':uid, 'label':label, 'title':title, 'class':thisClass, 'varList':var, 'optionList':'', 'description':desc } 
     79    this = {'uid':uid, 'label':label, 'title':title, 'choiceClass':thisClass, 'varList':var, 'optionList':'', 'description':desc } 
    8080    self.choices[uid] = this 
    8181 
     
    9494    title = 'Option set for %s' % cfgid 
    9595    thisClass = 'ConfigurationOptionSet' 
    96     this = {'uid':uid, 'label':label, 'title':title, 'class':thisClass, 'varList':var, 'optionList':'', 'description':desc } 
     96    this = {'uid':uid, 'label':label, 'title':title, 'choiceClass':thisClass, 'varList':var, 'optionList':'', 'description':desc } 
    9797    self.choices[uid] = this 
    9898 
     
    113113      title = 'Option set for %s' % cfgid 
    114114      thisClass = 'ConfigurationOptionSet' 
    115       this = {'uid':uid, 'label':label, 'title':title, 'class':thisClass, 'varList':var, 'optionList':'', 'description':desc } 
     115      this = {'uid':uid, 'label':label, 'title':title, 'choiceClass':thisClass, 'varList':var, 'optionList':'', 'description':desc } 
    116116      self.choices[uid] = this 
    117117 
     
    182182        print 'INFO.070.020001: all groups found for %s [%s]' % (var,str(ok)) 
    183183 
    184       this = {'uid':uid, 'label':label, 'title':title, 'class':thisClass, 'varList':cc, 'optionList':opts, 'description':desc } 
     184      this = {'uid':uid, 'label':label, 'title':title, 'choiceClass':thisClass, 'varList':cc, 'optionList':opts, 'description':desc } 
    185185      self.choices[uid] = this 
    186186 
     
    232232          ix += 1 
    233233          self.varChoiceLnk.append( [str(uuid.uuid1()), thisl, title,  c[0], uid, str(ranks[rk]) ] ) 
    234       this = {'uid':uid, 'label':label, 'title':title, 'class':thisClass, 'varList':cc, 'optionList':opts, 'description':desc } 
     234      this = {'uid':uid, 'label':label, 'title':title, 'choiceClass':thisClass, 'varList':cc, 'optionList':opts, 'description':desc } 
    235235      self.choices[uid] = this 
    236236 
  • CMIP6dreqbuild/trunk/src/workbook/importWbMods.py

    r876 r904  
    8181        r = [x.value for x in sht.row(i)] 
    8282        xx = r[0] 
    83         if s != '__mods__': 
    84           if len(xx) > 8 and xx[0] == '*' and (xx[8] == ':' or xx[9] == ':'): 
     83        if len(xx) > 8 and xx[0] == '*' and (xx[8] == ':' or xx[9] == ':'): 
    8584            ixc = xx.index( ':' ) 
    8685            self.labMap[r[1]] = xx[1:ixc] 
     
    8887            print 'INFO.str.00010: ',s,r[1],xx[1:ixc],self.uidByLab[r[1]],self.uidByLab[xx[1:ixc]] 
    8988 
     89        if s != '__mods__': 
    9090        ### tlab, splab, odims, coords, cell_met, cell_mea, flag mean 
    9191          t = (s,r[3],r[4],r[5],r[6],r[7],r[8]) 
     
    201201           self.vmap[u1] = u2 
    202202           rr = self.d1[u1] 
    203            if rr[4] == '': 
    204              rr[4] = 'OBSOLETE' 
    205            else: 
    206              rr[4] += ' OBSOLETE' 
     203           print 'WARN.obsolete.001: ambigous variable label: %s, %s, %s' % (k2,u1,u2) 
    207204           self.d1[u1] = rr 
    208205    assert len( mm ) == 0, 'Mappings not all valid: %s' % str(mm) 
     
    356353             u2 = r[1] 
    357354             opt = r[0] 
    358              if r[3] == 'prsn': 
    359                   print 'INFO.prsn.0001: ',r 
     355             if r[3] in [ 'prsn','prlq','pr']: 
     356                  print 'INFO.prxx.0001: ',r 
    360357            
    361358             self.fixcmvx[  '%s.%s.%s' % (r[3],r[7],r[9]) ].append( k ) 
     
    380377           assert len( cc[o] ) > 1, 'Attempt to encode singleton relationship: %s .. %s' % (o,str(i)) 
    381378           assert o in knownrelations, 'Key not recognised %s .... %s' % (o,str(i) ) 
    382     ##self.relationinfo = ['label','title','description','uid','relation'] 
    383     ##self.relationlinkinfo = ['label','title','uid','rlid','rid'] 
    384379           rlid = str( uuid.uuid1() ) 
    385380           s = list( { str( i[k][3].value ) for k in cc[o] } ) 
     
    393388             kkk+=1 
    394389             t,v,p = tuple( [str( r[j].value ) for j in [7,3,9] ] ) 
    395              ##if string.find( p, ' ((isd' ) != -1: 
    396                ##ip = string.find( p, ' ((isd' ) 
    397                ##p = p[:ip] 
    398390             tvp = (t,v,p) 
    399391             self.relationlinks.append( (['%s__%s_%s' % (o,lab,kkk), '%s [%s] {%s}' % (lab,reln[0],kkk),str( uuid.uuid1() ), rlid, k], tvp) ) 
  • CMIP6dreqbuild/trunk/src/workbook/importWbRef.py

    r876 r904  
    6868          vv,rv = cellMethodCheck(v0) 
    6969        if r[1] != 'redirect': 
     70          if len(r) >= 6: 
     71            desc = r[6] 
     72          else: 
     73            desc = None 
    7074          t = r[5].strip() 
    7175          l = r[4].strip() 
    7276          if vv != v0: 
    73             self.cminfo[vv] = (t,l,'CellMethods::%s' % l) 
     77            self.cminfo[vv] = (t,l,'CellMethods::%s' % l, desc) 
    7478            self.cmmap[v0] = vv 
    7579          else: 
    76             self.cminfo[v0] = (t,l,'CellMethods::%s' % l) 
     80            self.cminfo[v0] = (t,l,'CellMethods::%s' % l, desc) 
    7781         
    7882        if r[1] in ['ok','ok?']: 
     
    121125  def addTime(self): 
    122126    tshp = { 'time':['time-mean','Temporal mean'], 'time1':['time-point','Instantaneous value (i.e. synoptic or time-step value)'], \ 
    123              'time2':['climatoglogy','Climatological mean'], \ 
     127             'time2':['climatology','Climatological mean'], \ 
    124128             'time3':['diurnal-cycle','Mean Diurnal Cycle'], \ 
    125129             '':['None','No temporal dimensions ... fixed field'] } 
  • CMIP6dreqbuild/trunk/src/workbook/inputs/AerChemMIP_consol.csv

    r876 r904  
    1 cell_area       area of grid cell       areacella       m2              fx      fixed   XY-na   mean 
    2 land_area_fraction      fraction of the grid  cell occupied by land     landf   1.0     Please express "X_area_fraction" as the fraction of horizontal area occupied by X.      fx      fixed   XY-na   mean 
    3 surface_altitude        surface altitude        orog    m       The surface called "surface" means the lower boundary of the atmosphere. Altitude is the (geometric) height above the geoid, which is the reference geopotential surface. The geoid is similar to mean sea level.       fx      fixed   XY-na   mean 
    4 air_pressure    Air Pressure    plev    Pa      The atmospheric pressure at the model layer midpoints for all times and levels in the associated output variables       AerChemMIP-Mon3d        monthly XY-A    mean 
    5 air_pressure    air pressure at interfaces      pilev   Pa      The atmospheric pressure at the model layer interfaces for all times and levels in the associated output variables      AerChemMIP-Mon3d        monthly XY-A    mean 
    6 air_temperature Air Temperature ta      K               AerChemMIP-Mon3d        monthly XY-A    mean 
    7 specific_humidity       Specific Humidity       hus     1.0             AerChemMIP-Mon3d        monthly XY-A    mean 
    8 geopotential_height     Geopotential Height     zg      m               AerChemMIP-Mon3d        monthly XY-A    mean 
    9 eastward_wind   Eastward Wind   ua      m s-1           AerChemMIP-Mon3d        monthly XY-A    mean 
    10 northward_wind  Northward Wind  va      m s-1           AerChemMIP-Mon3d        monthly XY-A    mean 
    11 upward_air_velocity     Upward Air Velocity     wa      m s-1           AerChemMIP-Mon3d        monthly XY-A    mean 
    12 tendency_of_air_temperature_due_to_shortwave_heating    Shortwave heating rate  tntsw   K s-1   shortwave heating rates AerChemMIP-Mon3d        monthly XY-A    mean 
    13 tendency_of_air_temperature_due_to_longwave_heating     Longwave heating rate   tntlw   K s-1   longwave heating rates  AerChemMIP-Mon3d        monthly XY-A    mean 
    14 mole_fraction_of_ozone_in_air   Ozone volume mixing ratio       o3      mole mole-1             AerChemMIP-Mon3d        monthly XY-A    mean 
    15 mole_fraction_of_ozone_in_air   Ozone volume mixing ratio       o3ste   mole mole-1     Ozone tracer intended to map out strat-trop exchange (STE) of ozone     AerChemMIP-Mon3d        monthly XY-A    mean 
    16 mole_fraction_of_water_vapor_in_air     Water vapour volume mixing ratio        h2o     mole mole-1             AerChemMIP-Mon3d        monthly XY-A    mean 
    17 mole_fraction_of_nitrous_oxide_in_air   N2O volume mixing ratio n2o     mole mole-1             AerChemMIP-Mon3d        monthly XY-A    mean 
    18 mole_fraction_of_methane_in_air CH4 volume mixing ratio ch4     mole mole-1             AerChemMIP-Mon3d        monthly XY-A    mean 
    19 mole_fraction_of_carbon_dioxide_in_air  CO2 volume mixing ratio co2     mole mole-1             AerChemMIP-Mon3d        monthly XY-A    mean 
    20 mole_fraction_of_hydrogen_chloride_in_air       HCl volume mixing ratio hcl     mole mole-1             AerChemMIP-Mon3d        monthly XY-A    mean 
    21 mole_fraction_of_carbon_monoxide_in_air CO volume mixing ratio  co      mole mole-1             AerChemMIP-Mon3d        monthly XY-A    mean 
    22 mole_fraction_of_nitrogen_dioxide_in_air        NO2 volume mixing ratio no2     mole mole-1             AerChemMIP-Mon3d        monthly XY-A    mean 
    23 mole_fraction_of_nitrogen_monoxide_in_air       NO volume mixing ratio  no      mole mole-1             AerChemMIP-Mon3d        monthly XY-A    mean 
    24 mole_fraction_of_ethane_in_air  C2H6 volume mixing ratio        c2h6    mole mole-1             AerChemMIP-Mon3d        monthly XY-A    mean 
    25 mole_fraction_of_ethyne_in_air  C2H2 volume mixing ratio        c2h2    mole mole-1             AerChemMIP-Mon3d        monthly XY-A    mean 
    26 mole_fraction_of_propene_in_air C3H6  volume mixing ratio       c3h6    mole mole-1             AerChemMIP-Mon3d        monthly XY-A    mean 
    27 mole_fraction_of_propane_in_air C3H8  volume mixing ratio       c3h8    mole mole-1             AerChemMIP-Mon3d        monthly XY-A    mean 
    28 mole_fraction_of_acetone_in_air CH3COCH3  volume mixing ratio   ch3coch3        mole mole-1             AerChemMIP-Mon3d        monthly XY-A    mean 
    29 cloud_area_fraction_in_atmosphere_layer Cloud Area Fraction     cl      1.0     cloud area fraction     AerChemMIP-Mon3d        monthly XY-A    mean 
    30 convective_cloud_area_fraction  Convective Cloud Area Fraction  convcl  1.0     Convective cloud fraction       AerChemMIP-Mon3d        monthly XY-A    mean 
    31 mole_fraction_of_hydroxyl_radical_in_air        OH volume mixing ratio  oh      mole mole-1             AerChemMIP-Mon3d        monthly XY-A    mean 
    32 mass_fraction_of_pm10_ambient_aerosol_particles_in_air  PM10 mass mixing ratio  mmrpm10 kg kg-1         AerChemMIP-Mon3d        monthly XY-A    mean 
    33 mass_fraction_of_pm2p5_dry_aerosol_particles_in_air     PM2.5 mass mixing ratio mmrpm2p5        kg kg-1         AerChemMIP-Mon3d        monthly XY-A    mean 
    34 mass_fraction_of_pm1_dry_aerosol_particles_in_air       PM1.0 mass mixing ratio mmrpm1  kg kg-1         AerChemMIP-Mon3d        monthly XY-A    mean 
    35 photolysis_rate_of_ozone_to_1D_oxygen_atom      photolysis rate of O3 to O1d    photo1d s-1             AerChemMIP-Mon3d        monthly XY-A    mean 
    36 atmosphere_mass_of_air_per_unit_area    Vertically integrated mass content of air in layer      airmass kg m-2          AerChemMIP-Mon3d        monthly XY-A    mean 
    37 mass_fraction_of_water_in_ambient_aerosol_particles_in_air      Aerosol water mass mixing ratio mmraerh2o       kg kg-1         AerChemMIP-Mon3d        monthly XY-A    mean 
    38 mass_fraction_of_particulate_organic_matter_dry_aerosol_particles_in_air        Total organic aerosol mass mixing ratio         mmroa   kg kg-1         AerChemMIP-Mon3d        monthly XY-A    mean 
    39 mass_fraction_of_secondary_particulate_organic_matter_dry_aerosol_particles_in_air      Secondary organic aerosol mass mixing ratio     mmrsoa  kg kg-1         AerChemMIP-Mon3d        monthly XY-A    mean 
    40 mass_fraction_of_elemental_carbon_dry_aerosol_particles_in_air  Elemental carbon mass mixing ratio      mmrbc   kg kg-1         AerChemMIP-Mon3d        monthly XY-A    mean 
    41 mass_fraction_of_sulfate_dry_aerosol_particles_in_air   Aerosol sulfate mass mixing ratio       mmrso4  kg kg-1         AerChemMIP-Mon3d        monthly XY-A    mean 
    42 mass_fraction_of_nitrate_dry_aerosol_particles_in_air   NO3 aerosol mass mixing ratio   mmrno3  kg kg-1         AerChemMIP-Mon3d        monthly XY-A    mean 
    43 mass_fraction_of_ammonium_dry_aerosol_particles_in_air  NH4 mass mixing ratio   mmrnh4  kg kg-1         AerChemMIP-Mon3d        monthly XY-A    mean 
    44 mass_fraction_of_seasalt_dry_aerosol_particles_in_air   Sea Salt mass mixing ratio      mmrss   kg kg-1         AerChemMIP-Mon3d        monthly XY-A    mean 
    45 mass_fraction_of_dust_dry_aerosol_particles_in_air      Dust aerosol mass mixing ratio  mmrdust kg kg-1         AerChemMIP-Mon3d        monthly XY-A    mean 
    46 mole_fraction_of_sulfur_dioxide_in_air  SO2 volume mixing ratio so2     mole mole-1             AerChemMIP-Mon3d        monthly XY-A    mean 
    47 mole_fraction_of_isoprene_in_air        Isoprene volume mixing ratio    isop    mole mole-1             AerChemMIP-Mon3d        monthly XY-A    mean 
    48 mole_fraction_of_formaldehyde_in_air    Formaldehyde volume mixing ratio        hcho    mole mole-1             AerChemMIP-Mon3d        monthly XY-A    mean 
    49 mole_fraction_of_dimethyl_sulfide_in_air        DMS volume mixing ratio dms     mole mole-1             AerChemMIP-Mon3d        monthly XY-A    mean 
    50 mole_fraction_of_nitric_acid_in_air     HNO3 volume mixing ratio        hno3    mole mole-1             AerChemMIP-Mon3d        monthly XY-A    mean 
    51 mole_fraction_of_peroxyacetyl_nitrate_in_air    PAN volume mixing ratio pan     mole mole-1             AerChemMIP-Mon3d        monthly XY-A    mean 
    52 tendency_of_atmosphere_moles_of_nox_expressed_as_nitrogen       layer-integrated lightning production of NOx    emilnox mole m-2 s-1    Integrate the NOx production for lightning over model layer. proposed name: tendency_of_atmosphere_mass_content_of_nox_from_lightning   AerChemMIP-Mon3d        monthly XY-A    mean 
    53 tendency_of_atmosphere_mass_content_of_sulfate_dry_aerosol_particles_due_to_gaseous_phase_net_chemical_production       Gas-phase production rate of SO4        chegpso4        kg m-2 s-1      proposed name: tendency_of_atmosphere_mass_content_of_sulfate_dry_aerosol_due_to_gas_phase_net_chemical_production      AerChemMIP-Mon3d        monthly XY-A    mean 
    54 tendency_of_atmosphere_mass_content_of_sulfate_dry_aerosol_particles_due_to_aqueous_phase_net_chemical_production       Aqueous-phase production rate of SO4    cheaqpso4       kg m-2 s-1      proposed name: tendency_of_atmosphere_mass_content_of_sulfate_dry_aerosol_due_to_aqueous_phase_net_chemical_production  AerChemMIP-Mon3d        monthly XY-A    mean 
    55 tendency_of_atmosphere_mole_concentration_of_ozone_due_to_chemical_production   O3 production rate      o3prod  mol m-3 s-1     ONLY provide the sum of all the HO2/RO2 + NO reactions (as k*[HO2]*[NO])        AerChemMIP-Mon3d        monthly XY-A    mean 
    56 tendency_of_atmosphere_mole_concentration_of_ozone_due_to_chemical_destruction  O3 destruction rate     o3loss  mol m-3 s-1     ONLY provide the sum of the following reactions: (i) O(1D)+H2O; (ii) O3+HO2; (iii) O3+OH; (iv) O3+alkenes (isoprene, ethene,...)        AerChemMIP-Mon3d        monthly XY-A    mean 
    57 tendency_of_atmosphere_moles_of_methane Annual Loss of atmospheric Methane      lossch4 mol m-3 s-1     monthly averaged atmospheric loss       AerChemMIP-Mon3d        monthly XY-A    mean 
    58 tendency_of_atmosphere_moles_of_carbon_monoxide Annual Loss of atmospheric Carbon Monoxide      lossco  mol m-3 s-1     monthly averaged atmospheric loss       AerChemMIP-Mon3d        monthly XY-A    mean 
    59 tendency_of_atmosphere_moles_of_nitrous_oxide   Annual Loss of atmospheric Nitrous Oxide        lossn2o mol m-3 s-1     monthly averaged atmospheric loss       AerChemMIP-Mon3d        monthly XY-A    mean 
    60 number_concentration_of_cloud_liquid_water_particles_in_air     cloud droplet number concentration      cdnc    m-3     Cloud Droplet Number Concentration in liquid water clouds.      AerChemMIP-Mon3d        monthly XY-A    mean 
    61 atmosphere_updraft_convective_mass_flux Convective Updraft Mass Flux    mcu     kg m-2 s-1      In accordance with common usage in geophysical disciplines, "flux" implies per unit area, called "flux density" in physics. The atmosphere convective mass flux is the vertical transport of mass for a field of cumulus clouds or thermals, given by the product of air density and vertical velocity. For an area-average, cell_methods should specify whether the average is over all the area or the area of updrafts only. AerChemMIP-Mon3d        monthly XY-A    mean 
    62 mass_fraction_of_cloud_liquid_water_in_air      Mass Fraction of Cloud Liquid Water     clw     kg kg-1 Includes both large-scale and convective cloud. Calculate as the mass of cloud liquid water in the grid cell divided by the mass of air (including the water in all phases) in the grid cells. Precipitating hydrometeors are included ONLY if the precipitating hydrometeors affect the calculation of radiative transfer in model.    AerChemMIP-Mon3d        monthly XY-A    mean 
    63 mass_fraction_of_cloud_ice_in_air       Mass Fraction of Cloud Ice      cli     kg kg-1 Includes both large-scale and convective cloud. This is calculated as the mass of cloud ice in the grid cell divided by the mass of air (including the water in all phases) in the grid cell. It includes precipitating hydrometeors ONLY if the precipitating hydrometeors affect the calculation of radiative transfer in model.      AerChemMIP-Mon3d        monthly XY-A    mean 
    64 tracer_lifetime aoa_nh  aoa_nh  year    Fixed surface layer mixing ratio over 30o-50oN (0 ppbv), uniform fixed source (at all levels) everywhere else (source is unspecified but must be constant in space and time and documented). Note that the source could be 1yr/yr, so the tracer concentration provides mean age in years. For method using linearly increasing tracer include a method attribute: "linearly increasing tracer"For method using uniform source (1yr/yr) include a method attribute: "uniform source"    AerChemMIP-Mon3d        monthly XY-A    mean 
    65 mole_fraction_of_artificial_tracer_with_fixed_lifetime_in_air   nh_50   nh_50   mole mole-1     Fixed surface layer mixing ratio over 30o-50oN (100ppbv), uniform fixed 50-day exponential decay.       AerChemMIP-Mon3d        monthly XY-A    mean 
    66 surface_air_pressure    Surface Air Pressure    ps      Pa      surface pressure (not mean sea-level pressure), 2-D field to calculate the 3-D pressure field from hybrid coordinates   AerChemMIP-Mon2d        monthly XY-na   mean 
    67 tropopause_air_pressure Tropopause Air Pressure ptp     Pa      2D monthly mean thermal tropopause calculated using WMO tropopause definition on 3d temperature AerChemMIP-Mon2d        monthly XY-na   mean 
    68 sea_surface_temperature Sea Surface Temperature tos     K       this may differ from "surface temperature" in regions of sea ice.       AerChemMIP-Mon2d        monthly XY-na   mean 
    69 sea_ice_area_fraction   Sea Ice Area Fraction   sic     1.0     fraction of grid cell covered by sea ice.       AerChemMIP-Mon2d        monthly XY-na   mean 
    70 tropopause_air_temperature      Tropopause Air Temperature      tatp    K       2D monthly mean thermal tropopause calculated using WMO tropopause definition on 3d temperature AerChemMIP-Mon2d        monthly XY-na   mean 
    71 tropopause_altitude     Tropopause Altitude     ztp     m       2D monthly mean thermal tropopause calculated using WMO tropopause definition on 3d temperature AerChemMIP-Mon2d        monthly XY-na   mean 
    72 precipitation_flux      Precipitation   pr      kg m-2 s-1      includes both liquid and solid phases   AerChemMIP-Mon2d        monthly XY-na   mean 
    73 surface_upward_latent_heat_flux Surface Upward Latent Heat Flux hfls    W m-2           AerChemMIP-Mon2d        monthly XY-na   mean 
    74 surface_upward_sensible_heat_flux       Surface Upward Sensible Heat Flux       hfss    W m-2           AerChemMIP-Mon2d        monthly XY-na   mean 
    75 leaf_area_index leaf area index lai     1.0             AerChemMIP-Mon2d        monthly XY-na   mean 
    76 canopy_height   canopy height   cnpz    m               AerChemMIP-Mon2d        monthly XY-na   mean 
    77 surface_snow_area_fraction      snow cover fraction     snc     1.0             AerChemMIP-Mon2d        monthly XY-na   mean 
    78 equivalent_thickness_at_stp_of_atmosphere_ozone_content Total Ozone Column      toz     DU      total ozone column in DU        AerChemMIP-Mon2d        monthly XY-na   mean 
    79 equivalent_thickness_at_stp_of_atmosphere_ozone_content tropospheric ozone column       tropoz  DU              AerChemMIP-Mon2d        monthly XY-na   mean 
    80 tendency_of_atmosphere_mass_content_of_ozone_due_to_dry_deposition      dry deposition rate of o3       dryo3   kg m-2 s-1      dry deposition includes gravitational settling, impact scavenging, and turbulent deposition.    AerChemMIP-Mon2d        monthly XY-na   mean 
    81 atmosphere_optical_thickness_due_to_ambient_aerosol_particles   ambient aerosol optical thickness at 550 nm     od550aer        1.0     AOD from the ambient aerosls (i.e., includes aerosol water).  Does not include AOD from stratospheric aerosols if these are prescribed but includes other possible background aerosol types. Needs a comment attribute "wavelength: 550 nm"     AerChemMIP-Mon2d        monthly XY-na   mean 
    82 atmosphere_optical_thickness_due_to_ambient_aerosol_particles   ambient aerosol optical thickness at 870 nm     od870aer        1.0     AOD from the ambient aerosls (i.e., includes aerosol water).  Does not include AOD from stratospheric aerosols if these are prescribed but includes other possible background aerosol types. Needs a comment attribute "wavelength: 870 nm"     AerChemMIP-Mon2d        monthly XY-na   mean 
    83 atmosphere_optical_thickness_due_to_ambient_aerosol_particles   ambient aerosol optical thickness at 440 nm     od440aer        1.0     AOD from the ambient aerosls (i.e., includes aerosol water).  Does not include AOD from stratospheric aerosols if these are prescribed but includes other possible background aerosol types. Needs a comment attribute "wavelength: 440 nm"     AerChemMIP-Mon2d        monthly XY-na   mean 
    84 atmosphere_optical_thickness_due_to_sulfate_ambient_aerosol     sulfate aod@550nm       od550so4        1.0             AerChemMIP-Mon2d        monthly XY-na   mean 
    85 atmosphere_optical_thickness_due_to_black_carbon_ambient_aerosol        black carbon aod@550nm  od550bc 1.0             AerChemMIP-Mon2d        monthly XY-na   mean 
    86 atmosphere_optical_thickness_due_to_particulate_organic_matter_ambient_aerosol  total organic aerosol aod@550nm od550oa 1.0     total organic aerosol AOD, comprises all organic aerosols, primary + secondary ; natural + anthropogenic including biomasss burning organic aerosol     AerChemMIP-Mon2d        monthly XY-na   mean 
    87 atmosphere_optical_thickness_due_to_particulate_organic_matter_ambient_aerosol  soa aod@550nm   od550soa        1.0     fraction of total organic aerosol AOD due to secondary aerosol formation        AerChemMIP-Mon2d        monthly XY-na   mean 
    88 atmosphere_optical_thickness_due_to_particulate_organic_matter_ambient_aerosol  bb aod@550nm    od550bb 1.0     fraction of total organic aerosol AOD due to biomass burning    AerChemMIP-Mon2d        monthly XY-na   mean 
    89 atmosphere_optical_thickness_due_to_nitrate_ambient_aerosol     nitrate aod@550nm       od550no3        1.0             AerChemMIP-Mon2d        monthly XY-na   mean 
    90 atmosphere_optical_thickness_due_to_seasalt_ambient_aerosol     sea salt aod@550nm      od550ss 1.0             AerChemMIP-Mon2d        monthly XY-na   mean 
    91 atmosphere_optical_thickness_due_to_dust_ambient_aerosol        dust aod@550nm  od550dust       1.0             AerChemMIP-Mon2d        monthly XY-na   mean 
    92 atmosphere_optical_thickness_due_to_water_in_ambient_aerosol    aerosol water aod@550nm od550aerh2o     1.0             AerChemMIP-Mon2d        monthly XY-na   mean 
    93 atmosphere_optical_thickness_due_to_pm1_ambient_aerosol ambient fine mode aerosol optical thickness at 550 nm   od550lt1aer     1.0     od550 due to particles with wet diameter less than 1 um  (""ambient"" means ""wetted""). When models do not include explicit size information, it can be assumed that all anthropogenic aerosols and natural secondary aerosols have diameter less than 1 um.   AerChemMIP-Mon2d        monthly XY-na   mean 
    94 atmosphere_absorption_optical_thickness_due_to_ambient_aerosol  ambient aerosol absorption optical thickness at 550 nm  abs550aer       1.0             AerChemMIP-Mon2d        monthly XY-na   mean 
    95 tendency_of_atmosphere_mass_content_of_particulate_organic_matter_dry_aerosol_particles_due_to_net_chemical_production_and_emission     primary emission and chemical production of dry aerosol organic matter  emioa   kg m-2 s-1      This is the sum of total emission of POA and total production of SOA (emipoa+chepsoa). ""Mass"" refers to the mass of organic matter, not mass of organic carbon alone. We recommend a scale factor of POM=1.4*OC, unless your model has more detailed info available.  Integrate 3D chemical production and emission field vertically to 2d field.     AerChemMIP-Mon2d        monthly XY-na   mean 
    96 tendency_of_atmosphere_mass_content_of_secondary_particulate_organic_matter_dry_aerosol_particles_due_to_net_chemical_production        chemical production of dry aerosol secondary organic matter     chepsoa kg m-2 s-1      If model lumps SOA emissions with POA, then the sum of POA and SOA emissions is reported as OA emissions. ""mass"" refers to the mass of primary organic matter, not mass of organic carbon alone.      AerChemMIP-Mon2d        monthly XY-na   mean 
    97 tendency_of_atmosphere_mass_content_of_particulate_organic_matter_dry_aerosol_particles_due_to_dry_deposition   dry deposition rate of dry aerosol total organic matter dryoa   kg m-2 s-1              AerChemMIP-Mon2d        monthly XY-na   mean 
    98 tendency_of_atmosphere_mass_content_of_particulate_organic_matter_dry_aerosol_particles_due_to_wet_deposition   wet deposition rate of dry aerosol total organic matter wetoa   kg m-2 s-1              AerChemMIP-Mon2d        monthly XY-na   mean 
    99 tendency_of_atmosphere_mass_content_of_particulate_organic_matter_dry_aerosol_particles_due_to_net_chemical_production_and_emission     total emission of anthropogenic  organic aerosol        emiaoa  kg m-2 s-1      anthropogenic fraction of emioa AerChemMIP-Mon2d        monthly XY-na   mean 
    100 tendency_of_atmosphere_mass_content_of_secondary_particulate_organic_matter_dry_aerosol_particles_due_to_net_chemical_production        total net production of anthropogenic secondary organic aerosol chepasoa        kg m-2 s-1      anthropogenic fraction of chepsoa       AerChemMIP-Mon2d        monthly XY-na   mean 
    101 tendency_of_atmosphere_mass_content_of_elemental_carbon_dry_aerosol_particles_due_to_emission   emission rate of black carbon aerosol mass      emibc   kg m-2 s-1      Integrate 3D emission field vertically to 2d field.     AerChemMIP-Mon2d        monthly XY-na   mean 
    102 tendency_of_atmosphere_mass_content_of_elemental_carbon_dry_aerosol_particles_due_to_dry_deposition     dry deposition rate of black carbon aerosol mass        drybc   kg m-2 s-1      Dry deposition includes gravitational settling, impact scavenging, and turbulent deposition.    AerChemMIP-Mon2d        monthly XY-na   mean 
    103 tendency_of_atmosphere_mass_content_of_elemental_carbon_dry_aerosol_particles_due_to_wet_deposition     wet deposition rate of black carbon aerosol mass        wetbc   kg m-2 s-1              AerChemMIP-Mon2d        monthly XY-na   mean 
    104 tendency_of_atmosphere_mass_content_of_sulfur_dioxide_due_to_emission   total emission rate of so2      emiso2  kg m-2 s-1      Integrate 3D emission field vertically to 2d field.     AerChemMIP-Mon2d        monthly XY-na   mean 
    105 tendency_of_atmosphere_mass_content_of_sulfate_dry_aerosol_particles_due_to_emission    total direct emission rate of so4       emiso4  kg m-2 s-1      Direct primary emission does not include secondary sulfate production. Integrate 3D emission field vertically to 2d field.      AerChemMIP-Mon2d        monthly XY-na   mean 
    106 tendency_of_atmosphere_mass_content_of_dimethyl_sulfide_due_to_emission total emission rate of dms      emidms  kg m-2 s-1      Integrate 3D emission field vertically to 2d field.     AerChemMIP-Mon2d        monthly XY-na   mean 
    107 tendency_of_atmosphere_mass_content_of_sulfur_dioxide_due_to_dry_deposition     dry deposition rate of so2      dryso2  kg m-2 s-1      dry deposition includes gravitational settling, impact scavenging, and turbulent deposition     AerChemMIP-Mon2d        monthly XY-na   mean 
    108 tendency_of_atmosphere_mass_content_of_sulfate_dry_aerosol_particles_due_to_dry_deposition      dry deposition rate of so4      dryso4  kg m-2 s-1      dry deposition includes gravitational settling, impact scavenging, and turbulent deposition     AerChemMIP-Mon2d        monthly XY-na   mean 
    109 tendency_of_atmosphere_mass_content_of_sulfate_dry_aerosol_particles_due_to_wet_deposition      wet deposition rate of so4      wetso4  kg m-2 s-1      proposed name: tendency_of_atmosphere_mass_content_of_sulfate_dry_aerosol_due_to_wet_deposition AerChemMIP-Mon2d        monthly XY-na   mean 
    110 tendency_of_atmosphere_mass_content_of_sulfur_dioxide_due_to_wet_deposition     wet deposition rate of so2      wetso2  kg m-2 s-1              AerChemMIP-Mon2d        monthly XY-na   mean 
    111 tendency_of_atmosphere_mass_content_of_ammonia_due_to_emission  total emission rate of nh3      eminh3  kg m-2 s-1      Integrate 3D emission field vertically to 2d field.     AerChemMIP-Mon2d        monthly XY-na   mean 
    112 tendency_of_atmosphere_mass_content_of_ammonia_due_to_dry_deposition    dry deposition rate of nh3      drynh3  kg m-2 s-1      dry deposition includes gravitational settling, impact scavenging, and turbulent deposition     AerChemMIP-Mon2d        monthly XY-na   mean 
    113 tendency_of_atmosphere_mass_content_of_ammonium_dry_aerosol_particles_due_to_dry_deposition     dry deposition rate of nh4      drynh4  kg m-2 s-1      dry deposition includes gravitational settling, impact scavenging, and turbulent deposition     AerChemMIP-Mon2d        monthly XY-na   mean 
    114 tendency_of_atmosphere_mass_content_of_ammonium_dry_aerosol_particles_due_to_wet_deposition     wet deposition rate of nh4      wetnh4  kg m-2 s-1              AerChemMIP-Mon2d        monthly XY-na   mean 
    115 tendency_of_atmosphere_mass_content_of_ammonia_due_to_wet_deposition    wet deposition rate of nh3      wetnh3  kg m-2 s-1              AerChemMIP-Mon2d        monthly XY-na   mean 
    116 tendency_of_atmosphere_mass_content_of_nox_expressed_as_nitrogen_due_to_emission        total emission rate of nox      eminox  kg m-2 s-1      Store flux as Nitrogen. NOx=NO+NO2. Integrate 3D emission field vertically to 2d field. AerChemMIP-Mon2d        monthly XY-na   mean 
    117 tendency_of_atmosphere_mass_content_of_nox_expressed_as_nitrogen_due_to_emission        anthropogenic emission rate of nox      emianox kg m-2 s-1      Store flux as Nitrogen. Anthropogenic fraction. NOx=NO+NO2, Includes agricultural waste burning but no other biomass burning. Integrate 3D emission field vertically to 2d field.       AerChemMIP-Mon2d        monthly XY-na   mean 
    118 tendency_of_atmosphere_mass_content_of_noy_expressed_as_nitrogen_due_to_dry_deposition  dry deposition rate of noy      drynoy  kg m-2 s-1      NOy is the sum of all simulated oxidized nitrogen species out of NO, NO2, HNO3, HNO4, NO3aerosol, NO3(radical), N2O5, PAN, other organic nitrates. Dry deposition includes gravitational settling, impact scavenging, and turbulent deposition.         AerChemMIP-Mon2d        monthly XY-na   mean 
    119 tendency_of_atmosphere_mass_content_of_noy_expressed_as_nitrogen_due_to_wet_deposition  wet deposition of noy incl aerosol nitrate      wetnoy  kg m-2 s-1      NOy is the sum of all simulated oxidized nitrogen species, out of NO, NO2, HNO3, HNO4, NO3aerosol, NO3(radical), N2O5, PAN, other organic nitrates.     AerChemMIP-Mon2d        monthly XY-na   mean 
    120 tendency_of_atmosphere_mass_content_of_seasalt_dry_aerosol_particles_due_to_emission    total emission rate of seasalt  emiss   kg m-2 s-1              AerChemMIP-Mon2d        monthly XY-na   mean 
    121 tendency_of_atmosphere_mass_content_of_seasalt_dry_aerosol_particles_due_to_dry_deposition      dry deposition rate of seasalt  dryss   kg m-2 s-1      Dry deposition includes gravitational settling, impact scavenging, and turbulent deposition.    AerChemMIP-Mon2d        monthly XY-na   mean 
    122 tendency_of_atmosphere_mass_content_of_seasalt_dry_aerosol_particles_due_to_wet_deposition      wet deposition rate of seasalt  wetss   kg m-2 s-1              AerChemMIP-Mon2d        monthly XY-na   mean 
    123 tendency_of_atmosphere_mass_content_of_dust_dry_aerosol_particles_due_to_emission       total emission rate of dust     emidust kg m-2 s-1              AerChemMIP-Mon2d        monthly XY-na   mean 
    124 tendency_of_atmosphere_mass_content_of_dust_dry_aerosol_particles_due_to_dry_deposition dry deposition rate of dust     drydust kg m-2 s-1      Dry deposition includes gravitational settling, impact scavenging, and turbulent deposition.    AerChemMIP-Mon2d        monthly XY-na   mean 
    125 tendency_of_atmosphere_mass_content_of_dust_dry_aerosol_particles_due_to_wet_deposition wet deposition rate of dust     wetdust kg m-2 s-1              AerChemMIP-Mon2d        monthly XY-na   mean 
    126 tendency_of_atmosphere_mass_content_of_carbon_monoxide_due_to_emission  total emission rate of co       emico   kg m-2 s-1      Integrate 3D emission field vertically to 2d field.     AerChemMIP-Mon2d        monthly XY-na   mean 
    127 tendency_of_atmosphere_mass_content_of_carbon_monoxide_due_to_emission  total emission rate of anthropogenic co emiaco  kg m-2 s-1      anthrophogenic fraction of emico        AerChemMIP-Mon2d        monthly XY-na   mean 
    128 tendency_of_atmosphere_mass_content_of_nmvoc_due_to_emission    total emission rate of nmvoc    emivoc  kg m-2 s-1      Integrate 3D emission field vertically to 2d field. _If_ fixed molecular weight of NMVOC is not available in model, please provide in units of kilomole m-2 s-1 (i.e. kg m-2 s-1 as if model NMVOC had molecular weight of 1) and add a comment to your file.   AerChemMIP-Mon2d        monthly XY-na   mean 
    129 tendency_of_atmosphere_mass_content_of_biogenic_nmvoc_expressed_as_carbon_due_to_emission       total emission rate of biogenic nmvoc   emibvoc kg m-2 s-1      Integrate 3D emission field vertically to 2d field._If_ fixed molecular weight of NMVOC is not available in model, please provide in units of kilomole m-2 s-1 (i.e. kg m-2 s-1 as if model NMVOC had molecular weight of 1) and add a comment to your file.    AerChemMIP-Mon2d        monthly XY-na   mean 
    130 tendency_of_atmosphere_mass_content_of_isoprene_due_to_emission total emission rate of isoprene emiisop kg m-2 s-1      Integrate 3D emission field vertically to 2d field      AerChemMIP-Mon2d        monthly XY-na   mean 
    131 effective_radius_of_cloud_liquid_water_particle_at_liquid_water_cloud_top       cloud-top effective droplet radius      reffclwtop      m       Droplets are liquid only.  This is the effective radius ""as seen from space"" over liquid cloudy portion of grid cell. This is the value from uppermost model layer with liquid cloud or, if available, or for some models it is the sum over all liquid cloud tops, no matter where they occur, as long as they are seen from the top of the atmosphere.TOA) each time sample when computing monthly mean. Reported values are weighted by total liquid cloud top fraction of  (as seen from TOA) each time sample when computing monthly mean.       AerChemMIP-Mon2d        monthly XY-na   mean 
    132 atmosphere_mass_content_of_cloud_liquid_water   liquid water path       lwp     kg m-2          AerChemMIP-Mon2d        monthly XY-na   mean 
    133 atmosphere_mass_content_of_cloud_ice    ice water path  iwp     kg m-2          AerChemMIP-Mon2d        monthly XY-na   mean 
    134 planetary_albedo        planetary albedo        albs    1.0             AerChemMIP-Mon2d        monthly XY-na   mean 
    135 surface_albedo  surface albedo  albsrfc 1.0             AerChemMIP-Mon2d        monthly XY-na   mean 
    136 cloud_area_fraction     Total Cloud Fraction    clt     1.0     cloud area fraction     AerChemMIP-Mon2d        monthly XY-na   mean 
    137 convective_cloud_area_fraction  Convective Cloud Area Fraction  convclt 1.0     Convective cloud fraction       AerChemMIP-Mon2d        monthly XY-na   mean 
    138 atmosphere_optical_thickness_due_to_cloud       cloud optical depth     cod     1.0             AerChemMIP-Mon2d        monthly XY-na   mean 
    139 number_concentration_of_cloud_condensation_nuclei_at_stp_in_air cloud condensation nuclei concentration at liquid cloud top     ccn     m-3             AerChemMIP-Mon2d        monthly XY-na   mean 
    140 air_temperature_at_cloud_top    air temperature at cloud top    ttop    K               AerChemMIP-Mon2d        monthly XY-na   mean 
    141 toa_outgoing_shortwave_flux     toa outgoing shortwave radiation        rsut    W m-2   at the top of the atmosphere    AerChemMIP-Mon2d        monthly XY-na   mean 
    142 toa_outgoing_shortwave_flux_assuming_clear_sky  toa outgoing clear-sky shortwave radiation      rsutcs  W m-2           AerChemMIP-Mon2d        monthly XY-na   mean 
    143 toa_outgoing_longwave_flux      toa outgoing longwave radiation rlut    W m-2   at the top of the atmosphere (to be compared with satellite measurements)       AerChemMIP-Mon2d        monthly XY-na   mean 
    144 toa_outgoing_longwave_flux_assuming_clear_sky   toa outgoing clear-sky longwave radiation       rlutcs  W m-2           AerChemMIP-Mon2d        monthly XY-na   mean 
    145 surface_downwelling_shortwave_flux_in_air       surface downwelling shortwave radiation rsds    W m-2           AerChemMIP-Mon2d        monthly XY-na   mean 
    146 surface_upwelling_shortwave_flux_in_air surface upwelling shortwave radiation   rsus    W m-2           AerChemMIP-Mon2d        monthly XY-na   mean 
    147 surface_downwelling_longwave_flux_in_air        surface downwelling longwave radiation  rlds    W m-2           AerChemMIP-Mon2d        monthly XY-na   mean 
    148 surface_upwelling_longwave_flux_in_air  surface upwelling longwave radiation    rlus    W m-2           AerChemMIP-Mon2d        monthly XY-na   mean 
    149 toa_instantaneous_shortwave_forcing     all sky sw-rf so4 at toa        swtoaasso4      W m-2           AerChemMIP-Mon2d        monthly XY-na   mean 
    150 toa_instantaneous_shortwave_forcing     all sky sw-rf bcff at toa anthropogenic swtoaasbcff     W m-2           AerChemMIP-Mon2d        monthly XY-na   mean 
    151 toa_instantaneous_shortwave_forcing     clear sky sw-rf bcff at toa     swtoacsbcff     W m-2           AerChemMIP-Mon2d        monthly XY-na   mean 
    152 toa_instantaneous_shortwave_forcing     all sky sw-rf oaff at toa anthropogenic swtoaasoaff     W m-2           AerChemMIP-Mon2d        monthly XY-na   mean 
    153 toa_instantaneous_shortwave_forcing     clear sky sw-rf oaff at toa anthropogenic       swtoacsoaff     W m-2           AerChemMIP-Mon2d        monthly XY-na   mean 
    154 toa_instantaneous_shortwave_forcing     all sky sw-rf bb at toa swtoaasbb       W m-2           AerChemMIP-Mon2d        monthly XY-na   mean 
    155 toa_instantaneous_shortwave_forcing     clear sky sw-rf bb at toa       swtoacsbb       W m-2           AerChemMIP-Mon2d        monthly XY-na   mean 
    156 toa_instantaneous_shortwave_forcing     all sky sw-rf soa at toa        swtoaassoa      W m-2           AerChemMIP-Mon2d        monthly XY-na   mean 
    157 toa_instantaneous_shortwave_forcing     all sky sw-rf no3 at toa        swtoaasno3      W m-2           AerChemMIP-Mon2d        monthly XY-na   mean 
    158 toa_instantaneous_shortwave_forcing     all sky sw-rf ss at toa swtoaasss       W m-2           AerChemMIP-Mon2d        monthly XY-na   mean 
    159 toa_instantaneous_shortwave_forcing     all sky sw-rf dust at toa       swtoaasdust     W m-2           AerChemMIP-Mon2d        monthly XY-na   mean 
    160 toa_instantaneous_longwave_forcing      all sky lw-rf dust at toa       lwtoaasdust     W m-2           AerChemMIP-Mon2d        monthly XY-na   mean 
    161 toa_instantaneous_shortwave_forcing     clear sky sw-rf dust at toa     swtoacsdust     W m-2           AerChemMIP-Mon2d        monthly XY-na   mean 
    162 toa_instantaneous_shortwave_forcing     all sky sw-rf aerosols at toa   swtoaasaer      W m-2           AerChemMIP-Mon2d        monthly XY-na   mean 
    163 toa_instantaneous_shortwave_forcing     clear sky sw-rf aerosols at toa swtoacsaer      W m-2           AerChemMIP-Mon2d        monthly XY-na   mean 
    164 toa_instantaneous_longwave_forcing      all sky lw-rf aerosols at toa   lwtoaasaer      W m-2           AerChemMIP-Mon2d        monthly XY-na   mean 
    165 toa_instantaneous_longwave_forcing      clear sky lw-rf aerosols at toa lwtoacsaer      W m-2           AerChemMIP-Mon2d        monthly XY-na   mean 
    166 mole_fraction_of_ozone_in_air   daily maximum O3 volume mixing ratio in lowest model layer      sfo3max mole mole-1     maximum near-surface ozone  (add cell_method attribute "ozone: max")    AerChemMIP-Day2d        daily   XY-na   mean 
    167 air_temperature Surface Air Temperature tas     K       near-surface (usually, 2 meter) air temperature AerChemMIP-Day2d        daily   XY-na   mean 
    168 surface_air_pressure    Surface Air Pressure    ps      Pa      surface pressure (not mean sea-level pressure), 2-D field to calculate the 3-D pressure field from hybrid coordinates   AerChemMIP-Day2d        daily   XY-na   mean 
    169 eastward_wind   Eastward Wind at 10 hPa ua10    m s-1   Zonal wind on the 10 hPa surface        AerChemMIP-Day2d        daily   XY-na   mean 
    170 geopotential_height     Geopotential Height at 10 hPa   zg10    m       Geopotential height on the 10 hPa surface       AerChemMIP-Day2d        daily   XY-na   mean 
    171 geopotential_height     Geopotential Height at 100 hPa  zg100   m       Geopotential height on the 100 hPa surface      AerChemMIP-Day2d        daily   XY-na   mean 
    172 geopotential_height     Geopotential Height at 1000 hPa zg1000  m       Geopotential height on the 1000 hPa surface     AerChemMIP-Day2d        daily   XY-na   mean 
    173 geopotential_height     Geopotential Height at 500 hPa  zg500   m       geopotential height on the 500 hPa surface      AerChemMIP-Day2d        daily   XY-na   mean 
    174 equivalent_thickness_at_stp_of_atmosphere_ozone_content Total Column Ozone      toz     DU      total ozone column in DU        AerChemMIP-Day2d        daily   XY-na   mean 
    175 surface_downwelling_shortwave_flux_in_air       Surface Downwelling Shortwave Radiation rsds    W m-2   surface solar irradiance for UV calculations    AerChemMIP-Day2d        daily   XY-na   mean 
    176 surface_downwelling_shortwave_flux_in_air_assuming_clear_sky    Surface Downwelling Clear-Sky Shortwave Radiation       rsdscs  W m-2   surface solar irradiance clear sky for UV calculations  AerChemMIP-Day2d        daily   XY-na   mean 
    177 surface_downwelling_longwave_flux_in_air        surface downwelling longwave radiation  rlds    W m-2           AerChemMIP-Day2d        daily   XY-na   mean 
    178 surface_upwelling_longwave_flux_in_air  surface upwelling longwave radiation    rlus    W m-2           AerChemMIP-Day2d        daily   XY-na   mean 
    179 air_temperature Daily Minimum Near-Surface Air Temperature      tasmin  K       minimum near-surface (usually, 2 meter) air temperature (add cell_method attribute "time: min") AerChemMIP-Day2d        daily   XY-na   mean 
    180 air_temperature Daily Maximum Near-Surface Air Temperature      tasmax  K       maximum near-surface (usually, 2 meter) air temperature (add cell_method attribute "time: max") AerChemMIP-Day2d        daily   XY-na   mean 
    181 tropopause_air_pressure tropopause pressure     tpp     Pa      Only required for the first day 00:00 UTC of each month. The tropopause follows the WMO definition and should be consistent with the the tropopause definition used for tpo3chm and lso3chm.    AerChemMIP-Day2d        daily   XY-na   mean 
    182 precipitation_flux      precipitation   pr      kg m-2 s-1      includes both liquid and solid phases   AerChemMIP-Day2d        daily   XY-na   mean 
    183 atmosphere_boundary_layer_thickness     maximum PBL height      maxpblz m               AerChemMIP-Day2d        daily   XY-na   mean 
    184 atmosphere_boundary_layer_thickness     minimum PBL height      minpblz m               AerChemMIP-Day2d        daily   XY-na   mean 
    185 atmosphere_optical_thickness_due_to_cloud       cloud optical depth     cod     1.0             AerChemMIP-Day2d        daily   XY-na   mean 
    186 atmosphere_optical_thickness_due_to_ambient_aerosol_particles   ambient aerosol optical thickness at 550 nm     od550aer        1.0     AOD from the ambient aerosls (i.e., includes aerosol water).  Does not include AOD from stratospheric aerosols if these are prescribed but includes other possible background aerosol types. Needs a comment attribute "wavelength: 550 nm"     AerChemMIP-Day2d        daily   XY-na   mean 
    187 surface_air_pressure    Surface pressure        ps      Pa      surface pressure (not mean sea-level pressure), 2-D field to calculate the 3-D pressure field from hybrid coordinates   AerChemMIP-hr   hourly  XY-na   mean 
    188 air_temperature Surface Temperature     sfta    K       Temperature at surface  AerChemMIP-hr   hourly  XY-na   mean 
    189 mole_fraction_of_ozone_in_air   O3 volume mixing ratio in lowest model layer    sfo3    mole mole-1             AerChemMIP-hr   hourly  XY-na   mean 
    190 mass_fraction_of_pm2p5_ambient_aerosol_particles_in_air PM2.5 mass mixing ratio in lowest model layer   sfpm25  kg kg-1         AerChemMIP-hr   hourly  XY-na   mean 
    191 mole_fraction_of_nitrogen_dioxide_in_air        NO2 volume mixing ratio in lowest model layer   sfno2   mole mole-1             AerChemMIP-hr   hourly  XY-na   mean 
    192 air_temperature Air Temperature ta      K               AerChemMIP-Zonal2d      monthly Y-P39   mean 
    193 eastward_wind   Eastward Wind   ua      m s-1           AerChemMIP-Zonal2d      monthly Y-P39   mean 
    194 northward_wind  Northward Wind  va      m s-1           AerChemMIP-Zonal2d      monthly Y-P39   mean 
    195 geopotential_height     Geopotential Height     zg      m               AerChemMIP-Zonal2d      monthly Y-P39   mean 
    196 age_of_stratospheric_air        Mean Age of Stratospheric Air   mean_age        years   The mean age of air is defined as the mean time that a stratospheric air mass has been out of contact with the well-mixed troposphere.  AerChemMIP-Zonal2d      monthly Y-P39   mean 
    197 mole_fraction_of_ozone_in_air   Ozone volume mixing ratio       o3      mole mole-1             AerChemMIP-Zonal2d      monthly Y-P39   mean 
    198 mole_fraction_of_nitrous_oxide_in_air   N2O volume mixing ratio n2o     mole mole-1             AerChemMIP-Zonal2d      monthly Y-P39   mean 
    199 mole_fraction_of_nitric_acid_in_air     HNO3 volume mixing ratio        hno3    mole mole-1             AerChemMIP-Zonal2d      monthly Y-P39   mean 
    200 mole_fraction_of_methane_in_air CH4 volume mixing ratio ch4     mole mole-1             AerChemMIP-Zonal2d      monthly Y-P39   mean 
    201 mole_fraction_of_water_vapor_in_air     H2O volume mixing ratio h2o     mole mole-1             AerChemMIP-Zonal2d      monthly Y-P39   mean 
    202 mole_fraction_of_inorganic_chlorine_in_air      Total inorganic chlorine volume mixing ratio    cly     mole mole-1     Total family (the sum of all appropriate species in the model) ; list the species in the netCDF header, e.g. Cly = HCl + ClONO2 + HOCl + ClO + Cl + 2*Cl2O2 +2Cl2 + OClO + BrCl Definition: Total inorganic stratospheric chlorine (e.g., HCl, ClO) resulting from degradation of chlorine-containing source gases (CFCs, HCFCs, VSLS), and natural inorganic chlorine sources (e.g., sea salt and other aerosols) add comment attribute with detailed description about how the model calculates these fields  AerChemMIP-Zonal2d      monthly Y-P39   mean 
    203 mole_fraction_of_inorganic_bromine_in_air       Total inorganic bromine volume mixing ratio     bry     mole mole-1     Total family (the sum of all appropriate species in the model) ; list the species in the netCDF header, e.g. Bry = Br + BrO + HOBr + HBr + BrONO2 + BrCl Definition: Total inorganic bromine (e.g., HBr and inorganic bromine oxides and radicals (e.g., BrO, atomic bromine (Br), bromine nitrate (BrONO2)) resulting from degradation of bromine-containing organicsource gases (halons, methyl bromide, VSLS), and natural inorganic bromine sources (e.g., volcanoes, sea salt, and other aerosols) add comment attribute with detailed description about how the model calculates these fields     AerChemMIP-Zonal2d      monthly Y-P39   mean 
    204 mole_fraction_of_noy_expressed_as_nitrogen_in_air       Total reactive nitrogen volume mixing ratio     noy     mole mole-1     Total family (the sum of all appropriate species in the model); list the species in the netCDF header, e.g. NOy = N + NO + NO2 + NO3 + HNO3 + 2N2O5 + HNO4 + ClONO2 + BrONO2 Definition: Total reactive nitrogen; usually includes atomic nitrogen (N), nitric oxide (NO), NO2, nitrogen trioxide (NO3), dinitrogen radical (N2O5), nitric acid (HNO3), peroxynitric acid (HNO4), BrONO2, ClONO2 add comment attribute with detailed description about how the model calculates these fields    AerChemMIP-Zonal2d      monthly Y-P39   mean 
    205 mole_fraction_of_hydrogen_chloride_in_air       HCl volume mixing ratio hcl     mole mole-1             AerChemMIP-Zonal2d      monthly Y-P39   mean 
    206 mole_fraction_of_hydroxyl_radical_in_air        OH volume mixing ratio  oh      mole mole-1             AerChemMIP-Zonal2d      monthly Y-P39   mean 
    207 mole_fraction_of_hydroperoxyl_radical_in_air    HO2 volume mixing ratio ho2     mole mole-1             AerChemMIP-Zonal2d      monthly Y-P39   mean 
    208 northward_heat_flux_in_air_due_to_eddy_advection        Northward heat flux due to eddies       vt100   W m-2   Zonally averaged meridional heat flux at 100 hPa as monthly means derived from daily (or higher frequency) fields.      AerChemMIP-Zonal        monthly Y-na    mean 
     1cell_area       area of grid cell       areacella       m2              aerfixed        fixed   XY-na   mean 
     2land_area_fraction      fraction of the grid  cell occupied by land     sftlf   1.0     Please express "X_area_fraction" as the fraction of horizontal area occupied by X.      aerfixed        fixed   XY-na   mean 
     3surface_altitude        surface altitude        orog    m       The surface called "surface" means the lower boundary of the atmosphere. Altitude is the (geometric) height above the geoid, which is the reference geopotential surface. The geoid is similar to mean sea level.       aerfixed        fixed   XY-na   mean 
     4air_pressure    Air Pressure    pfull   Pa      The atmospheric pressure at the model layer midpoints for all times and levels in the associated output variables       aermonthly-3d   monthly XY-A    mean 
     5air_pressure    air pressure at interfaces      phalf   Pa      The atmospheric pressure at the model layer interfaces for all times and levels in the associated output variables      aermonthly-3d   monthly XY-A    mean 
     6air_temperature Air Temperature ta      K               aermonthly-3d   monthly XY-A    mean 
     7specific_humidity       Specific Humidity       hus     1.0             aermonthly-3d   monthly XY-A    mean 
     8geopotential_height     Geopotential Height     zg      m               aermonthly-3d   monthly XY-A    mean 
     9eastward_wind   Eastward Wind   ua      m s-1           aermonthly-3d   monthly XY-A    mean 
     10northward_wind  Northward Wind  va      m s-1           aermonthly-3d   monthly XY-A    mean 
     11upward_air_velocity     Upward Air Velocity     wa      m s-1           aermonthly-3d   monthly XY-A    mean 
     12tendency_of_air_temperature_due_to_shortwave_heating    Shortwave heating rate  tntrs   K s-1   shortwave heating rates aermonthly-3d   monthly XY-A    mean 
     13tendency_of_air_temperature_due_to_longwave_heating     Longwave heating rate   tntrl   K s-1   longwave heating rates  aermonthly-3d   monthly XY-A    mean 
     14mole_fraction_of_ozone_in_air   Ozone volume mixing ratio       o3      mole mole-1             aermonthly-3d   monthly XY-A    mean 
     15mole_fraction_of_ozone_in_air   Ozone volume mixing ratio       o3ste   mole mole-1     Ozone tracer intended to map out strat-trop exchange (STE) of ozone.    aermonthly-3d   monthly XY-A    mean 
     16mole_fraction_of_water_vapor_in_air     Water vapour volume mixing ratio        h2o     mole mole-1             aermonthly-3d   monthly XY-A    mean 
     17mole_fraction_of_nitrous_oxide_in_air   N2O volume mixing ratio n2o     mole mole-1             aermonthly-3d   monthly XY-A    mean 
     18mole_fraction_of_methane_in_air CH4 volume mixing ratio ch4     mole mole-1             aermonthly-3d   monthly XY-A    mean 
     19mole_fraction_of_carbon_dioxide_in_air  CO2 volume mixing ratio co2     mole mole-1             aermonthly-3d   monthly XY-A    mean 
     20mole_fraction_of_hydrogen_chloride_in_air       HCl volume mixing ratio hcl     mole mole-1             aermonthly-3d   monthly XY-A    mean 
     21mole_fraction_of_carbon_monoxide_in_air CO volume mixing ratio  co      mole mole-1             aermonthly-3d   monthly XY-A    mean 
     22mole_fraction_of_nitrogen_dioxide_in_air        NO2 volume mixing ratio no2     mole mole-1             aermonthly-3d   monthly XY-A    mean 
     23mole_fraction_of_nitrogen_monoxide_in_air       NO volume mixing ratio  no      mole mole-1             aermonthly-3d   monthly XY-A    mean 
     24mole_fraction_of_ethane_in_air  C2H6 volume mixing ratio        c2h6    mole mole-1             aermonthly-3d   monthly XY-A    mean 
     25mole_fraction_of_ethyne_in_air  C2H2 volume mixing ratio        c2h2    mole mole-1             aermonthly-3d   monthly XY-A    mean 
     26mole_fraction_of_propene_in_air C3H6  volume mixing ratio       c3h6    mole mole-1             aermonthly-3d   monthly XY-A    mean 
     27mole_fraction_of_propane_in_air C3H8  volume mixing ratio       c3h8    mole mole-1             aermonthly-3d   monthly XY-A    mean 
     28mole_fraction_of_acetone_in_air CH3COCH3  volume mixing ratio   ch3coch3        mole mole-1             aermonthly-3d   monthly XY-A    mean 
     29cloud_area_fraction_in_atmosphere_layer Cloud Area Fraction     cl      1.0     cloud area fraction     aermonthly-3d   monthly XY-A    mean 
     30convective_cloud_area_fraction_in_atmospheric_layer     Convective Cloud Area Fraction  convcl  1.0     Convective cloud fraction       aermonthly-3d   monthly XY-A    mean 
     31mole_fraction_of_hydroxyl_radical_in_air        OH volume mixing ratio  oh      mole mole-1             aermonthly-3d   monthly XY-A    mean 
     32mass_fraction_of_pm10_ambient_aerosol_particles_in_air  PM10 mass mixing ratio  mmrpm10 kg kg-1         aermonthly-3d   monthly XY-A    mean 
     33mass_fraction_of_pm2p5_dry_aerosol_particles_in_air     PM2.5 mass mixing ratio mmrpm2p5        kg kg-1         aermonthly-3d   monthly XY-A    mean 
     34mass_fraction_of_pm1_dry_aerosol_particles_in_air       PM1.0 mass mixing ratio mmrpm1  kg kg-1         aermonthly-3d   monthly XY-A    mean 
     35photolysis_rate_of_ozone_to_1D_oxygen_atom      photolysis rate of O3 to O1d    photo1d s-1             aermonthly-3d   monthly XY-A    mean 
     36photolysis_rate_of_nitrogen_dioxide     photolysis rate of NO2  jno2    s-1             aermonthly-3d   monthly XY-A    mean 
     37atmosphere_mass_of_air_per_unit_area    Vertically integrated mass content of air in layer      airmass kg m-2          aermonthly-3d   monthly XY-A    mean 
     38mass_fraction_of_water_in_ambient_aerosol_particles_in_air      Aerosol water mass mixing ratio mmraerh2o       kg kg-1         aermonthly-3d   monthly XY-A    mean 
     39mass_fraction_of_particulate_organic_matter_dry_aerosol_particles_in_air        Total organic aerosol mass mixing ratio         mmroa   kg kg-1         aermonthly-3d   monthly XY-A    mean 
     40mass_fraction_of_secondary_particulate_organic_matter_dry_aerosol_particles_in_air      Secondary organic aerosol mass mixing ratio     mmrsoa  kg kg-1         aermonthly-3d   monthly XY-A    mean 
     41mass_fraction_of_elemental_carbon_dry_aerosol_particles_in_air  Elemental carbon mass mixing ratio      mmrbc   kg kg-1         aermonthly-3d   monthly XY-A    mean 
     42mass_fraction_of_sulfate_dry_aerosol_particles_in_air   Aerosol sulfate mass mixing ratio       mmrso4  kg kg-1         aermonthly-3d   monthly XY-A    mean 
     43mass_fraction_of_nitrate_dry_aerosol_particles_in_air   NO3 aerosol mass mixing ratio   mmrno3  kg kg-1         aermonthly-3d   monthly XY-A    mean 
     44mass_fraction_of_ammonium_dry_aerosol_particles_in_air  NH4 mass mixing ratio   mmrnh4  kg kg-1         aermonthly-3d   monthly XY-A    mean 
     45mass_fraction_of_seasalt_dry_aerosol_particles_in_air   Sea Salt mass mixing ratio      mmrss   kg kg-1         aermonthly-3d   monthly XY-A    mean 
     46mass_fraction_of_dust_dry_aerosol_particles_in_air      Dust aerosol mass mixing ratio  mmrdust kg kg-1         aermonthly-3d   monthly XY-A    mean 
     47mole_fraction_of_sulfur_dioxide_in_air  SO2 volume mixing ratio so2     mole mole-1             aermonthly-3d   monthly XY-A    mean 
     48mole_fraction_of_isoprene_in_air        Isoprene volume mixing ratio    isop    mole mole-1             aermonthly-3d   monthly XY-A    mean 
     49mole_fraction_of_formaldehyde_in_air    Formaldehyde volume mixing ratio        hcho    mole mole-1             aermonthly-3d   monthly XY-A    mean 
     50mole_fraction_of_dimethyl_sulfide_in_air        DMS volume mixing ratio dms     mole mole-1             aermonthly-3d   monthly XY-A    mean 
     51mole_fraction_of_nitric_acid_in_air     HNO3 volume mixing ratio        hno3    mole mole-1             aermonthly-3d   monthly XY-A    mean 
     52mole_fraction_of_peroxyacetyl_nitrate_in_air    PAN volume mixing ratio pan     mole mole-1             aermonthly-3d   monthly XY-A    mean 
     53tendency_of_atmosphere_moles_of_nox_expressed_as_nitrogen       layer-integrated lightning production of NOx    emilnox mole m-2 s-1    Integrate the NOx production for lightning over model layer. proposed name: tendency_of_atmosphere_mass_content_of_nox_from_lightning   aermonthly-3d   monthly XY-A    mean 
     54tendency_of_atmosphere_mass_content_of_sulfate_dry_aerosol_particles_due_to_gaseous_phase_net_chemical_production       Gas-phase production rate of SO4        chegpso4        kg m-2 s-1      proposed name: tendency_of_atmosphere_mass_content_of_sulfate_dry_aerosol_due_to_gas_phase_net_chemical_production      aermonthly-3d   monthly XY-A    mean 
     55tendency_of_atmosphere_mass_content_of_sulfate_dry_aerosol_particles_due_to_aqueous_phase_net_chemical_production       Aqueous-phase production rate of SO4    cheaqpso4       kg m-2 s-1      proposed name: tendency_of_atmosphere_mass_content_of_sulfate_dry_aerosol_due_to_aqueous_phase_net_chemical_production  aermonthly-3d   monthly XY-A    mean 
     56tendency_of_atmosphere_mole_concentration_of_ozone_due_to_chemical_production   O3 production rate      o3prod  mol m-3 s-1     ONLY provide the sum of all the HO2/RO2 + NO reactions (as k*[HO2]*[NO])        aermonthly-3d   monthly XY-A    mean 
     57tendency_of_atmosphere_mole_concentration_of_ozone_due_to_chemical_destruction  O3 destruction rate     o3loss  mol m-3 s-1     ONLY provide the sum of the following reactions: (i) O(1D)+H2O; (ii) O3+HO2; (iii) O3+OH; (iv) O3+alkenes (isoprene, ethene,...)        aermonthly-3d   monthly XY-A    mean 
     58tendency_of_atmosphere_moles_of_methane Monthly Loss of atmospheric Methane     lossch4 mol m-3 s-1     monthly averaged atmospheric loss       aermonthly-3d   monthly XY-A    mean 
     59tendency_of_atmosphere_moles_of_carbon_monoxide Monthly Loss of atmospheric Carbon Monoxide     lossco  mol m-3 s-1     monthly averaged atmospheric loss       aermonthly-3d   monthly XY-A    mean 
     60tendency_of_atmosphere_moles_of_nitrous_oxide   Monthly Loss of atmospheric Nitrous Oxide       lossn2o mol m-3 s-1     monthly averaged atmospheric loss       aermonthly-3d   monthly XY-A    mean 
     61number_concentration_of_cloud_liquid_water_particles_in_air     cloud droplet number concentration      cdnc    m-3     Cloud Droplet Number Concentration in liquid water clouds.      aermonthly-3d   monthly XY-A    mean 
     62atmosphere_updraft_convective_mass_flux Convective Updraft Mass Flux    mcu     kg m-2 s-1      In accordance with common usage in geophysical disciplines, "flux" implies per unit area, called "flux density" in physics. The atmosphere convective mass flux is the vertical transport of mass for a field of cumulus clouds or thermals, given by the product of air density and vertical velocity. For an area-average, cell_methods should specify whether the average is over all the area or the area of updrafts only. aermonthly-3d   monthly XY-A    mean 
     63mass_fraction_of_cloud_liquid_water_in_air      Mass Fraction of Cloud Liquid Water     clw     kg kg-1 Includes both large-scale and convective cloud. Calculate as the mass of cloud liquid water in the grid cell divided by the mass of air (including the water in all phases) in the grid cells. Precipitating hydrometeors are included ONLY if the precipitating hydrometeors affect the calculation of radiative transfer in model.    aermonthly-3d   monthly XY-A    mean 
     64mass_fraction_of_cloud_ice_in_air       Mass Fraction of Cloud Ice      cli     kg kg-1 Includes both large-scale and convective cloud. This is calculated as the mass of cloud ice in the grid cell divided by the mass of air (including the water in all phases) in the grid cell. It includes precipitating hydrometeors ONLY if the precipitating hydrometeors affect the calculation of radiative transfer in model.      aermonthly-3d   monthly XY-A    mean 
     65tracer_lifetime Tracer age of air Northern Hemisphere   aoanh   year    Fixed surface layer mixing ratio over 30o-50oN (0 ppbv), uniform fixed source (at all levels) everywhere else (source is unspecified but must be constant in space and time and documented). Note that the source could be 1yr/yr, so the tracer concentration provides mean age in years. For method using linearly increasing tracer include a method attribute: "linearly increasing tracer"For method using uniform source (1yr/yr) include a method attribute: "uniform source"    aermonthly-3d   monthly XY-A    mean 
     66mole_fraction_of_artificial_tracer_with_fixed_lifetime_in_air   Artificial tracer with 50 day lifetime  nh50    mole mole-1     Fixed surface layer mixing ratio over 30o-50oN (100ppbv), uniform fixed 50-day exponential decay.       aermonthly-3d   monthly XY-A    mean 
     67surface_air_pressure    Surface Air Pressure    ps      Pa      surface pressure (not mean sea-level pressure), 2-D field to calculate the 3-D pressure field from hybrid coordinates   aermonthly-2d   monthly XY-na   mean 
     68tropopause_air_pressure Tropopause Air Pressure ptp     Pa      2D monthly mean thermal tropopause calculated using WMO tropopause definition on 3d temperature aermonthly-2d   monthly XY-na   mean 
     69sea_surface_temperature Sea Surface Temperature tos     K       this may differ from "surface temperature" in regions of sea ice.       aermonthly-2d   monthly XY-na   mean 
     70sea_ice_area_fraction   Sea Ice Area Fraction   sic     1.0     fraction of grid cell covered by sea ice.       aermonthly-2d   monthly XY-na   mean 
     71tropopause_air_temperature      Tropopause Air Temperature      tatp    K       2D monthly mean thermal tropopause calculated using WMO tropopause definition on 3d temperature aermonthly-2d   monthly XY-na   mean 
     72tropopause_altitude     Tropopause Altitude     ztp     m       2D monthly mean thermal tropopause calculated using WMO tropopause definition on 3d temperature aermonthly-2d   monthly XY-na   mean 
     73atmosphere_boundary_layer_thickness     Boundary Layer Depth    bldep   m               aermonthly-2d   monthly XY-na   mean 
     74precipitation_flux      Precipitation   pr      kg m-2 s-1      includes both liquid and solid phases   aermonthly-2d   monthly XY-na   mean 
     75surface_upward_latent_heat_flux Surface Upward Latent Heat Flux hfls    W m-2           aermonthly-2d   monthly XY-na   mean 
     76surface_upward_sensible_heat_flux       Surface Upward Sensible Heat Flux       hfss    W m-2           aermonthly-2d   monthly XY-na   mean 
     77leaf_area_index leaf area index lai     1.0             aermonthly-2d   monthly XY-na   mean 
     78canopy_height   canopy height   cnpz    m               aermonthly-2d   monthly XY-na   mean 
     79surface_snow_area_fraction      snow cover fraction     snc     1.0             aermonthly-2d   monthly XY-na   mean 
     80equivalent_thickness_at_stp_of_atmosphere_ozone_content Total Ozone Column      toz     DU      total ozone column in DU        aermonthly-2d   monthly XY-na   mean 
     81equivalent_thickness_at_stp_of_atmosphere_ozone_content tropospheric ozone column       tropoz  DU      tropospheric ozone column in DU, should be consistent with ptp definition of tropopause aermonthly-2d   monthly XY-na   mean 
     82tendency_of_atmosphere_mass_content_of_ozone_due_to_dry_deposition      dry deposition rate of o3       dryo3   kg m-2 s-1      dry deposition includes gravitational settling, impact scavenging, and turbulent deposition.    aermonthly-2d   monthly XY-na   mean 
     83atmosphere_optical_thickness_due_to_ambient_aerosol_particles   ambient aerosol optical thickness at 550 nm     od550aer        1.0     AOD from ambient aerosols (i.e., includes aerosol water).  Does not include AOD from stratospheric aerosols if these are prescribed but includes other possible background aerosol types. Needs a comment attribute "wavelength: 550 nm"        aermonthly-2d   monthly XY-na   mean 
     84atmosphere_optical_thickness_due_to_ambient_aerosol_particles   ambient aerosol optical thickness at 550 nm     od550csaer      1.0     AOD from the ambient aerosols in clear skies if od550aer is for all-sky (i.e., includes aerosol water).  Does not include AOD from stratospheric aerosols if these are prescribed but includes other possible background aerosol types. Needs a comment attribute "wavelength: 550 nm"  aermonthly-2d   monthly XY-na   mean 
     85atmosphere_optical_thickness_due_to_ambient_aerosol_particles   ambient aerosol optical thickness at 870 nm     od870aer        1.0     AOD from the ambient aerosls (i.e., includes aerosol water).  Does not include AOD from stratospheric aerosols if these are prescribed but includes other possible background aerosol types. Needs a comment attribute "wavelength: 870 nm"     aermonthly-2d   monthly XY-na   mean 
     86atmosphere_optical_thickness_due_to_ambient_aerosol_particles   ambient aerosol optical thickness at 440 nm     od440aer        1.0     AOD from the ambient aerosls (i.e., includes aerosol water).  Does not include AOD from stratospheric aerosols if these are prescribed but includes other possible background aerosol types. Needs a comment attribute "wavelength: 440 nm"     aermonthly-2d   monthly XY-na   mean 
     87atmosphere_optical_thickness_due_to_sulfate_ambient_aerosol     sulfate aod@550nm       od550so4        1.0             aermonthly-2d   monthly XY-na   mean 
     88atmosphere_optical_thickness_due_to_black_carbon_ambient_aerosol        black carbon aod@550nm  od550bc 1.0             aermonthly-2d   monthly XY-na   mean 
     89atmosphere_optical_thickness_due_to_particulate_organic_matter_ambient_aerosol  total organic aerosol aod@550nm od550oa 1.0     total organic aerosol AOD, comprises all organic aerosols, primary + secondary ; natural + anthropogenic including biomasss burning organic aerosol     aermonthly-2d   monthly XY-na   mean 
     90atmosphere_optical_thickness_due_to_particulate_organic_matter_ambient_aerosol  soa aod@550nm   od550soa        1.0     total organic aerosol AOD due to secondary aerosol formation    aermonthly-2d   monthly XY-na   mean 
     91atmosphere_optical_thickness_due_to_particulate_organic_matter_ambient_aerosol  bb aod@550nm    od550bb 1.0     total organic aerosol AOD due to biomass burning (excluding so4, nitrate BB components) aermonthly-2d   monthly XY-na   mean 
     92atmosphere_optical_thickness_due_to_nitrate_ambient_aerosol     nitrate aod@550nm       od550no3        1.0             aermonthly-2d   monthly XY-na   mean 
     93atmosphere_optical_thickness_due_to_seasalt_ambient_aerosol     sea salt aod@550nm      od550ss 1.0             aermonthly-2d   monthly XY-na   mean 
     94atmosphere_optical_thickness_due_to_dust_ambient_aerosol        dust aod@550nm  od550dust       1.0             aermonthly-2d   monthly XY-na   mean 
     95atmosphere_optical_thickness_due_to_water_in_ambient_aerosol    aerosol water aod@550nm od550aerh2o     1.0             aermonthly-2d   monthly XY-na   mean 
     96atmosphere_optical_thickness_due_to_pm1_ambient_aerosol ambient fine mode aerosol optical thickness at 550 nm   od550lt1aer     1.0     od550 due to particles with wet diameter less than 1 um  (""ambient"" means ""wetted""). When models do not include explicit size information, it can be assumed that all anthropogenic aerosols and natural secondary aerosols have diameter less than 1 um.   aermonthly-2d   monthly XY-na   mean 
     97atmosphere_absorption_optical_thickness_due_to_ambient_aerosol  ambient aerosol absorption optical thickness at 550 nm  abs550aer       1.0             aermonthly-2d   monthly XY-na   mean 
     98tendency_of_atmosphere_mass_content_of_particulate_organic_matter_dry_aerosol_particles_due_to_net_chemical_production_and_emission     primary emission and chemical production of dry aerosol organic matter  emioa   kg m-2 s-1      This is the sum of total emission of POA and total production of SOA (emipoa+chepsoa). ""Mass"" refers to the mass of organic matter, not mass of organic carbon alone. We recommend a scale factor of POM=1.4*OC, unless your model has more detailed info available.  Integrate 3D chemical production and emission field vertically to 2d field.     aermonthly-2d   monthly XY-na   mean 
     99tendency_of_atmosphere_mass_content_of_secondary_particulate_organic_matter_dry_aerosol_particles_due_to_net_chemical_production        chemical production of dry aerosol secondary organic matter     chepsoa kg m-2 s-1      If model lumps SOA emissions with POA, then the sum of POA and SOA emissions is reported as OA emissions. ""mass"" refers to the mass of primary organic matter, not mass of organic carbon alone.      aermonthly-2d   monthly XY-na   mean 
     100tendency_of_atmosphere_mass_content_of_particulate_organic_matter_dry_aerosol_particles_due_to_dry_deposition   dry deposition rate of dry aerosol total organic matter dryoa   kg m-2 s-1              aermonthly-2d   monthly XY-na   mean 
     101tendency_of_atmosphere_mass_content_of_particulate_organic_matter_dry_aerosol_particles_due_to_wet_deposition   wet deposition rate of dry aerosol total organic matter wetoa   kg m-2 s-1              aermonthly-2d   monthly XY-na   mean 
     102tendency_of_atmosphere_mass_content_of_particulate_organic_matter_dry_aerosol_particles_due_to_net_chemical_production_and_emission     total emission of anthropogenic  organic aerosol        emiaoa  kg m-2 s-1      anthropogenic part of emioa     aermonthly-2d   monthly XY-na   mean 
     103tendency_of_atmosphere_mass_content_of_secondary_particulate_organic_matter_dry_aerosol_particles_due_to_net_chemical_production        total net production of anthropogenic secondary organic aerosol chepasoa        kg m-2 s-1      anthropogenic part of chepsoa   aermonthly-2d   monthly XY-na   mean 
     104tendency_of_atmosphere_mass_content_of_elemental_carbon_dry_aerosol_particles_due_to_emission   emission rate of black carbon aerosol mass      emibc   kg m-2 s-1      Integrate 3D emission field vertically to 2d field.     aermonthly-2d   monthly XY-na   mean 
     105tendency_of_atmosphere_mass_content_of_elemental_carbon_dry_aerosol_particles_due_to_dry_deposition     dry deposition rate of black carbon aerosol mass        drybc   kg m-2 s-1      Dry deposition includes gravitational settling, impact scavenging, and turbulent deposition.    aermonthly-2d   monthly XY-na   mean 
     106tendency_of_atmosphere_mass_content_of_elemental_carbon_dry_aerosol_particles_due_to_wet_deposition     wet deposition rate of black carbon aerosol mass        wetbc   kg m-2 s-1              aermonthly-2d   monthly XY-na   mean 
     107tendency_of_atmosphere_mass_content_of_sulfur_dioxide_due_to_emission   total emission rate of so2      emiso2  kg m-2 s-1      Integrate 3D emission field vertically to 2d field.     aermonthly-2d   monthly XY-na   mean 
     108tendency_of_atmosphere_mass_content_of_sulfate_dry_aerosol_particles_due_to_emission    total direct emission rate of so4       emiso4  kg m-2 s-1      Direct primary emission does not include secondary sulfate production. Integrate 3D emission field vertically to 2d field.      aermonthly-2d   monthly XY-na   mean 
     109tendency_of_atmosphere_mass_content_of_dimethyl_sulfide_due_to_emission total emission rate of dms      emidms  kg m-2 s-1      Integrate 3D emission field vertically to 2d field.     aermonthly-2d   monthly XY-na   mean 
     110tendency_of_atmosphere_mass_content_of_sulfur_dioxide_due_to_dry_deposition     dry deposition rate of so2      dryso2  kg m-2 s-1      dry deposition includes gravitational settling, impact scavenging, and turbulent deposition     aermonthly-2d   monthly XY-na   mean 
     111tendency_of_atmosphere_mass_content_of_sulfate_dry_aerosol_particles_due_to_dry_deposition      dry deposition rate of so4      dryso4  kg m-2 s-1      dry deposition includes gravitational settling, impact scavenging, and turbulent deposition     aermonthly-2d   monthly XY-na   mean 
     112tendency_of_atmosphere_mass_content_of_sulfate_dry_aerosol_particles_due_to_wet_deposition      wet deposition rate of so4      wetso4  kg m-2 s-1      proposed name: tendency_of_atmosphere_mass_content_of_sulfate_dry_aerosol_due_to_wet_deposition aermonthly-2d   monthly XY-na   mean 
     113tendency_of_atmosphere_mass_content_of_sulfur_dioxide_due_to_wet_deposition     wet deposition rate of so2      wetso2  kg m-2 s-1              aermonthly-2d   monthly XY-na   mean 
     114tendency_of_atmosphere_mass_content_of_ammonia_due_to_emission  total emission rate of nh3      eminh3  kg m-2 s-1      Integrate 3D emission field vertically to 2d field.     aermonthly-2d   monthly XY-na   mean 
     115tendency_of_atmosphere_mass_content_of_ammonia_due_to_dry_deposition    dry deposition rate of nh3      drynh3  kg m-2 s-1      dry deposition includes gravitational settling, impact scavenging, and turbulent deposition     aermonthly-2d   monthly XY-na   mean 
     116tendency_of_atmosphere_mass_content_of_ammonium_dry_aerosol_particles_due_to_dry_deposition     dry deposition rate of nh4      drynh4  kg m-2 s-1      dry deposition includes gravitational settling, impact scavenging, and turbulent deposition     aermonthly-2d   monthly XY-na   mean 
     117tendency_of_atmosphere_mass_content_of_ammonium_dry_aerosol_particles_due_to_wet_deposition     wet deposition rate of nh4      wetnh4  kg m-2 s-1              aermonthly-2d   monthly XY-na   mean 
     118tendency_of_atmosphere_mass_content_of_ammonia_due_to_wet_deposition    wet deposition rate of nh3      wetnh3  kg m-2 s-1              aermonthly-2d   monthly XY-na   mean 
     119tendency_of_atmosphere_mass_content_of_nox_expressed_as_nitrogen_due_to_emission        total emission rate of nox      eminox  kg m-2 s-1      Store flux as Nitrogen. NOx=NO+NO2. Integrate 3D emission field vertically to 2d field. aermonthly-2d   monthly XY-na   mean 
     120tendency_of_atmosphere_mass_content_of_nox_expressed_as_nitrogen_due_to_emission        anthropogenic emission rate of nox      emianox kg m-2 s-1      Store flux as Nitrogen. Anthropogenic fraction. NOx=NO+NO2, Includes agricultural waste burning but no other biomass burning. Integrate 3D emission field vertically to 2d field.       aermonthly-2d   monthly XY-na   mean 
     121tendency_of_atmosphere_mass_content_of_noy_expressed_as_nitrogen_due_to_dry_deposition  dry deposition rate of noy      drynoy  kg m-2 s-1      NOy is the sum of all simulated oxidized nitrogen species out of NO, NO2, HNO3, HNO4, NO3aerosol, NO3(radical), N2O5, PAN, other organic nitrates. Dry deposition includes gravitational settling, impact scavenging, and turbulent deposition.         aermonthly-2d   monthly XY-na   mean 
     122tendency_of_atmosphere_mass_content_of_noy_expressed_as_nitrogen_due_to_wet_deposition  wet deposition of noy incl aerosol nitrate      wetnoy  kg m-2 s-1      NOy is the sum of all simulated oxidized nitrogen species, out of NO, NO2, HNO3, HNO4, NO3aerosol, NO3(radical), N2O5, PAN, other organic nitrates.     aermonthly-2d   monthly XY-na   mean 
     123tendency_of_atmosphere_mass_content_of_seasalt_dry_aerosol_particles_due_to_emission    total emission rate of seasalt  emiss   kg m-2 s-1              aermonthly-2d   monthly XY-na   mean 
     124tendency_of_atmosphere_mass_content_of_seasalt_dry_aerosol_particles_due_to_dry_deposition      dry deposition rate of seasalt  dryss   kg m-2 s-1      Dry deposition includes gravitational settling, impact scavenging, and turbulent deposition.    aermonthly-2d   monthly XY-na   mean 
     125tendency_of_atmosphere_mass_content_of_seasalt_dry_aerosol_particles_due_to_wet_deposition      wet deposition rate of seasalt  wetss   kg m-2 s-1              aermonthly-2d   monthly XY-na   mean 
     126tendency_of_atmosphere_mass_content_of_dust_dry_aerosol_particles_due_to_emission       total emission rate of dust     emidust kg m-2 s-1              aermonthly-2d   monthly XY-na   mean 
     127tendency_of_atmosphere_mass_content_of_dust_dry_aerosol_particles_due_to_dry_deposition dry deposition rate of dust     drydust kg m-2 s-1      Dry deposition includes gravitational settling, impact scavenging, and turbulent deposition.    aermonthly-2d   monthly XY-na   mean 
     128tendency_of_atmosphere_mass_content_of_dust_dry_aerosol_particles_due_to_wet_deposition wet deposition rate of dust     wetdust kg m-2 s-1              aermonthly-2d   monthly XY-na   mean 
     129tendency_of_atmosphere_mass_content_of_carbon_monoxide_due_to_emission  total emission rate of co       emico   kg m-2 s-1      Integrate 3D emission field vertically to 2d field.     aermonthly-2d   monthly XY-na   mean 
     130tendency_of_atmosphere_mass_content_of_carbon_monoxide_due_to_emission  total emission rate of anthropogenic co emiaco  kg m-2 s-1      anthrophogenic  emission of CO  aermonthly-2d   monthly XY-na   mean 
     131tendency_of_atmosphere_mass_content_of_nmvoc_due_to_emission    total emission rate of nmvoc    emivoc  kg m-2 s-1      Integrate 3D emission field vertically to 2d field. _If_ fixed molecular weight of NMVOC is not available in model, please provide in units of kilomole m-2 s-1 (i.e. kg m-2 s-1 as if model NMVOC had molecular weight of 1) and add a comment to your file.   aermonthly-2d   monthly XY-na   mean 
     132tendency_of_atmosphere_mass_content_of_biogenic_nmvoc_expressed_as_carbon_due_to_emission       total emission rate of biogenic nmvoc   emibvoc kg m-2 s-1      Integrate 3D emission field vertically to 2d field._If_ fixed molecular weight of NMVOC is not available in model, please provide in units of kilomole m-2 s-1 (i.e. kg m-2 s-1 as if model NMVOC had molecular weight of 1) and add a comment to your file.    aermonthly-2d   monthly XY-na   mean 
     133tendency_of_atmosphere_mass_content_of_isoprene_due_to_emission total emission rate of isoprene emiisop kg m-2 s-1      Integrate 3D emission field vertically to 2d field      aermonthly-2d   monthly XY-na   mean 
     134effective_radius_of_cloud_liquid_water_particle_at_liquid_water_cloud_top       cloud-top effective droplet radius      reffclwtop      m       Droplets are liquid only.  This is the effective radius ""as seen from space"" over liquid cloudy portion of grid cell. This is the value from uppermost model layer with liquid cloud or, if available, or for some models it is the sum over all liquid cloud tops, no matter where they occur, as long as they are seen from the top of the atmosphere.TOA) each time sample when computing monthly mean. Reported values are weighted by total liquid cloud top fraction of  (as seen from TOA) each time sample when computing monthly mean.       aermonthly-2d   monthly XY-na   mean 
     135atmosphere_mass_content_of_cloud_liquid_water   liquid water path       lwp     kg m-2          aermonthly-2d   monthly XY-na   mean 
     136atmosphere_mass_content_of_cloud_ice    ice water path  clivi   kg m-2          aermonthly-2d   monthly XY-na   mean 
     137planetary_albedo        planetary albedo        albs    1.0             aermonthly-2d   monthly XY-na   mean 
     138surface_albedo  surface albedo  albsrfc 1.0             aermonthly-2d   monthly XY-na   mean 
     139cloud_area_fraction     Total Cloud Fraction    clt     1.0     cloud area fraction     aermonthly-2d   monthly XY-na   mean 
     140convective_cloud_area_fraction  Convective Cloud Area Fraction  convclt 1.0     Convective cloud fraction       aermonthly-2d   monthly XY-na   mean 
     141atmosphere_optical_thickness_due_to_cloud       cloud optical depth     cod     1.0             aermonthly-2d   monthly XY-na   mean 
     142number_concentration_of_cloud_condensation_nuclei_at_stp_in_air cloud condensation nuclei concentration at liquid cloud top     ccn     m-3             aermonthly-2d   monthly XY-na   mean 
     143air_temperature_at_cloud_top    air temperature at cloud top    ttop    K               aermonthly-2d   monthly XY-na   mean 
     144toa_outgoing_shortwave_flux     toa outgoing shortwave radiation        rsut    W m-2   at the top of the atmosphere    aermonthly-2d   monthly XY-na   mean 
     145toa_outgoing_shortwave_flux_assuming_clear_sky  toa outgoing clear-sky shortwave radiation      rsutcs  W m-2           aermonthly-2d   monthly XY-na   mean 
     146toa_outgoing_longwave_flux      toa outgoing longwave radiation rlut    W m-2   at the top of the atmosphere (to be compared with satellite measurements)       aermonthly-2d   monthly XY-na   mean 
     147toa_outgoing_longwave_flux_assuming_clear_sky   toa outgoing clear-sky longwave radiation       rlutcs  W m-2           aermonthly-2d   monthly XY-na   mean 
     148surface_downwelling_shortwave_flux_in_air       surface downwelling shortwave radiation rsds    W m-2           aermonthly-2d   monthly XY-na   mean 
     149surface_upwelling_shortwave_flux_in_air surface upwelling shortwave radiation   rsus    W m-2           aermonthly-2d   monthly XY-na   mean 
     150surface_downwelling_longwave_flux_in_air        surface downwelling longwave radiation  rlds    W m-2           aermonthly-2d   monthly XY-na   mean 
     151surface_upwelling_longwave_flux_in_air  surface upwelling longwave radiation    rlus    W m-2           aermonthly-2d   monthly XY-na   mean 
     152toa_outgoing_shortwave_flux     toa outgoing shortwave radiation        rsutca  W m-2   Flux corresponding to rsut resulting fom aerosol-free call to radiation aermonthly-2d   monthly XY-na   mean 
     153toa_outgoing_shortwave_flux_assuming_clear_sky  toa outgoing clear-sky shortwave radiation      rsutcsca        W m-2   Flux corresponding to rsutcs resulting fom aerosol-free call to radiation       aermonthly-2d   monthly XY-na   mean 
     154toa_outgoing_longwave_flux      toa outgoing longwave radiation rlutca  W m-2   Flux corresponding to rlut resulting fom aerosol-free call to radiation aermonthly-2d   monthly XY-na   mean 
     155toa_outgoing_longwave_flux_assuming_clear_sky   toa outgoing clear-sky longwave radiation       rlutcsca        W m-2   Flux corresponding to rlutcs resulting fom aerosol-free call to radiation       aermonthly-2d   monthly XY-na   mean 
     156pending CF name Phytotoxic ozone dose   pod0    mol m-2 s-1     Accumulated stomatal ozone flux over the threshold of 0 mol m-2 s-1; Computation: Time Integral of (hourly above canopy ozone concentration * stomatal conductance * Rc/(Rb+Rc) )       aermonthly-2d   monthly XY-na   mean 
     157mole_fraction_of_ozone_in_air   daily maximum O3 volume mixing ratio in lowest model layer      sfo3max mole mole-1     maximum near-surface ozone  (add cell_methods attribute "time: maximum")        aerdaily        daily   XY-na   mean 
     158air_temperature Surface Air Temperature tas     K       near-surface (usually, 2 meter) air temperature aerdaily        daily   XY-na   mean 
     159surface_air_pressure    Surface Air Pressure    ps      Pa      surface pressure (not mean sea-level pressure), 2-D field to calculate the 3-D pressure field from hybrid coordinates   aerdaily        daily   XY-na   mean 
     160eastward_wind   Eastward Wind at 10 hPa ua10    m s-1   Zonal wind on the 10 hPa surface        aerdaily        daily   XY-na   mean 
     161geopotential_height     Geopotential Height at 10 hPa   zg10    m       Geopotential height on the 10 hPa surface       aerdaily        daily   XY-na   mean 
     162geopotential_height     Geopotential Height at 100 hPa  zg100   m       Geopotential height on the 100 hPa surface      aerdaily        daily   XY-na   mean 
     163geopotential_height     Geopotential Height at 1000 hPa zg1000  m       Geopotential height on the 1000 hPa surface     aerdaily        daily   XY-na   mean 
     164geopotential_height     Geopotential Height at 500 hPa  zg500   m       geopotential height on the 500 hPa surface      aerdaily        daily   XY-na   mean 
     165equivalent_thickness_at_stp_of_atmosphere_ozone_content Total Column Ozone      toz     DU      total ozone column in DU        aerdaily        daily   XY-na   mean 
     166surface_downwelling_shortwave_flux_in_air       Surface Downwelling Shortwave Radiation rsds    W m-2   surface solar irradiance for UV calculations    aerdaily        daily   XY-na   mean 
     167surface_downwelling_shortwave_flux_in_air_assuming_clear_sky    Surface Downwelling Clear-Sky Shortwave Radiation       rsdscs  W m-2   surface solar irradiance clear sky for UV calculations  aerdaily        daily   XY-na   mean 
     168surface_downwelling_longwave_flux_in_air        surface downwelling longwave radiation  rlds    W m-2           aerdaily        daily   XY-na   mean 
     169surface_upwelling_longwave_flux_in_air  surface upwelling longwave radiation    rlus    W m-2           aerdaily        daily   XY-na   mean 
     170air_temperature Daily Minimum Near-Surface Air Temperature      tasmin  K       minimum near-surface (usually, 2 meter) air temperature (add cell_methods attribute "time: minimum")    aerdaily        daily   XY-na   mean 
     171air_temperature Daily Maximum Near-Surface Air Temperature      tasmax  K       maximum near-surface (usually, 2 meter) air temperature (add cell_methods attribute "time: maximum")    aerdaily        daily   XY-na   mean 
     172precipitation_flux      precipitation   pr      kg m-2 s-1      includes both liquid and solid phases   aerdaily        daily   XY-na   mean 
     173atmosphere_boundary_layer_thickness     maximum PBL height      maxpblz m       maximum boundary layer height during the day (add cell_methods attribute: "time: maximum")      aerdaily        daily   XY-na   mean 
     174atmosphere_boundary_layer_thickness     minimum PBL height      minpblz m       minimum boundary layer height during the day (add cell_methods attribute: "time: minimum")      aerdaily        daily   XY-na   mean 
     175atmosphere_optical_thickness_due_to_cloud       cloud optical depth     cod     1.0             aerdaily        daily   XY-na   mean 
     176atmosphere_optical_thickness_due_to_ambient_aerosol_particles   ambient aerosol optical thickness at 550 nm     od550aer        1.0     AOD from the ambient aerosls (i.e., includes aerosol water).  Does not include AOD from stratospheric aerosols if these are prescribed but includes other possible background aerosol types. Needs a comment attribute "wavelength: 550 nm"     aerdaily        daily   XY-na   mean 
     177eastward_wind   Eastward Near-Surface Wind      uas     m s-1           aerdaily        daily   XY-na   mean 
     178northward_wind  Northward Near-Surface Wind     vas     m s-1           aerdaily        daily   XY-na   mean 
     179surface_air_pressure    Surface pressure        ps      Pa      surface pressure (not mean sea-level pressure), 2-D field to calculate the 3-D pressure field from hybrid coordinates   aerhourly       hourly  XY-na   mean 
     180air_temperature Surface Temperature     tas     K       Temperature at surface  aerhourly       hourly  XY-na   mean 
     181mole_fraction_of_ozone_in_air   O3 volume mixing ratio in lowest model layer    sfo3    mole mole-1             aerhourly       hourly  XY-na   mean 
     182mass_fraction_of_pm2p5_ambient_aerosol_particles_in_air PM2.5 mass mixing ratio in lowest model layer   sfpm25  kg kg-1         aerhourly       hourly  XY-na   mean 
     183mole_fraction_of_nitrogen_dioxide_in_air        NO2 volume mixing ratio in lowest model layer   sfno2   mole mole-1             aerhourly       hourly  XY-na   mean 
     184volume_lidar_backwards_scattering_coefficient_in_air_due_to_ambient_aerosol_particles   Aerosol backscatter coefficient bs550aer        m-1 sr-1        Aerosol  Backscatter @550nm @ 180 degrees, computed from extinction and lidar ratio     aer6hr  6hr     XY-A    mean 
     185volume_extinction_coefficient_in_air_due_to_ambient_aerosol_particles   Aerosol extinction coefficient  ec550aer        m-1     Aerosol Extinction @550nm       aer6hr  6hr     XY-A    mean 
     186geopotential_height     Geopotential Height at 500 hPa  zg500   m       geopotential height on the 500 hPa surface      aer6hr  6hr     XY-A    mean 
     187atmosphere_relative_vorticity    Relative Vorticity at 850 hPa  rv850   s-1             aer6hr  6hr     XY-A    mean 
     188air_temperature Air Temperature ta      K               aerzonal-vert   monthly Y-P39   mean 
     189eastward_wind   Eastward Wind   ua      m s-1           aerzonal-vert   monthly Y-P39   mean 
     190northward_wind  Northward Wind  va      m s-1           aerzonal-vert   monthly Y-P39   mean 
     191geopotential_height     Geopotential Height     zg      m               aerzonal-vert   monthly Y-P39   mean 
     192age_of_stratospheric_air        Mean Age of Stratospheric Air   meanage years   The mean age of air is defined as the mean time that a stratospheric air mass has been out of contact with the well-mixed troposphere.  aerzonal-vert   monthly Y-P39   mean 
     193mole_fraction_of_ozone_in_air   Ozone volume mixing ratio       o3      mole mole-1             aerzonal-vert   monthly Y-P39   mean 
     194mole_fraction_of_nitrous_oxide_in_air   N2O volume mixing ratio n2o     mole mole-1             aerzonal-vert   monthly Y-P39   mean 
     195mole_fraction_of_nitric_acid_in_air     HNO3 volume mixing ratio        hno3    mole mole-1             aerzonal-vert   monthly Y-P39   mean 
     196mole_fraction_of_methane_in_air CH4 volume mixing ratio ch4     mole mole-1             aerzonal-vert   monthly Y-P39   mean 
     197mole_fraction_of_water_vapor_in_air     H2O volume mixing ratio h2o     mole mole-1             aerzonal-vert   monthly Y-P39   mean 
     198mole_fraction_of_inorganic_chlorine_in_air      Total inorganic chlorine volume mixing ratio    cly     mole mole-1     Total family (the sum of all appropriate species in the model) ; list the species in the netCDF header, e.g. Cly = HCl + ClONO2 + HOCl + ClO + Cl + 2*Cl2O2 +2Cl2 + OClO + BrCl Definition: Total inorganic stratospheric chlorine (e.g., HCl, ClO) resulting from degradation of chlorine-containing source gases (CFCs, HCFCs, VSLS), and natural inorganic chlorine sources (e.g., sea salt and other aerosols) add comment attribute with detailed description about how the model calculates these fields  aerzonal-vert   monthly Y-P39   mean 
     199mole_fraction_of_inorganic_bromine_in_air       Total inorganic bromine volume mixing ratio     bry     mole mole-1     Total family (the sum of all appropriate species in the model) ; list the species in the netCDF header, e.g. Bry = Br + BrO + HOBr + HBr + BrONO2 + BrCl Definition: Total inorganic bromine (e.g., HBr and inorganic bromine oxides and radicals (e.g., BrO, atomic bromine (Br), bromine nitrate (BrONO2)) resulting from degradation of bromine-containing organicsource gases (halons, methyl bromide, VSLS), and natural inorganic bromine sources (e.g., volcanoes, sea salt, and other aerosols) add comment attribute with detailed description about how the model calculates these fields     aerzonal-vert   monthly Y-P39   mean 
     200mole_fraction_of_noy_expressed_as_nitrogen_in_air       Total reactive nitrogen volume mixing ratio     noy     mole mole-1     Total family (the sum of all appropriate species in the model); list the species in the netCDF header, e.g. NOy = N + NO + NO2 + NO3 + HNO3 + 2N2O5 + HNO4 + ClONO2 + BrONO2 Definition: Total reactive nitrogen; usually includes atomic nitrogen (N), nitric oxide (NO), NO2, nitrogen trioxide (NO3), dinitrogen radical (N2O5), nitric acid (HNO3), peroxynitric acid (HNO4), BrONO2, ClONO2 add comment attribute with detailed description about how the model calculates these fields    aerzonal-vert   monthly Y-P39   mean 
     201mole_fraction_of_hydrogen_chloride_in_air       HCl volume mixing ratio hcl     mole mole-1             aerzonal-vert   monthly Y-P39   mean 
     202mole_fraction_of_hydroxyl_radical_in_air        OH volume mixing ratio  oh      mole mole-1             aerzonal-vert   monthly Y-P39   mean 
     203mole_fraction_of_hydroperoxyl_radical_in_air    HO2 volume mixing ratio ho2     mole mole-1             aerzonal-vert   monthly Y-P39   mean 
     204northward_heat_flux_in_air_due_to_eddy_advection        Northward heat flux due to eddies       vt100   W m-2   Zonally averaged meridional heat flux at 100 hPa as monthly means derived from daily (or higher frequency) fields.      aerzonal        monthly Y-na    mean 
  • CMIP6dreqbuild/trunk/src/workbook/inputs/cmv_duplication.csv

    r876 r904  
    931931+               19bfc73a-81b1-11e6-92de-ac72891c3257    aermonthly      Eastward Wind           aermonthly ((isd.003)) 
    932932+       19bfc73a-81b1-11e6-92de-ac72891c3257    8baf15fe-4a5b-11e6-9cd2-ac72891c3257    emMon   Eastward Wind           HighResMIP [Amon_sparc] 
    933 NEXT            24      day     tasmin  f7dcac96-562c-11e6-a2a4-ac72891c3257     
    934 +               19bdb92c-81b1-11e6-92de-ac72891c3257    aerdaily        Daily Minimum Near-Surface Air Temperature      minimum near-surface (usually, 2 meter) air temperature (add cell_method attribute "time: min") aerdaily ((isd.003)) 
    935 +       19bdb92c-81b1-11e6-92de-ac72891c3257    d227eea4-4a9f-11e6-b84e-ac72891c3257    emDay   Daily Minimum Near-Surface Air Temperature      Daily Minimum Near-Surface Air Temperature      LS3MIP [LEday] 
    936933NEXT            25      mon     fgcfc12 f7ddef0c-562c-11e6-a2a4-ac72891c3257     
    937934+               ba9b4000-e5dd-11e5-8482-ac72891c3257    Omon    Surface Downward CFC12 flux     gas exchange flux of CFC12      Omon ((isd.003)) 
     
    969966NEXT            37      day     tasmax  f7dcac96-562c-11e6-a2a4-ac72891c3257     
    970967+               19bdd402-81b1-11e6-92de-ac72891c3257    aerdaily        Daily Maximum Near-Surface Air Temperature      maximum near-surface (usually, 2 meter) air temperature (add cell_method attribute "time: max") aerdaily ((isd.003)) 
    971 +       19bdd402-81b1-11e6-92de-ac72891c3257    d227ea12-4a9f-11e6-b84e-ac72891c3257    emDay   Daily Maximum Near-Surface Air Temperature      Daily Maximum Near-Surface Air Temperature      LS3MIP [LEday] 
     968+       bab94a50-e5dd-11e5-8482-ac72891c3257    d227ea12-4a9f-11e6-b84e-ac72891c3257    emDay   Daily Maximum Near-Surface Air Temperature      Daily Maximum Near-Surface Air Temperature      LS3MIP [LEday] 
    972969NEXT            38      mon     od550so4        f7dcac96-562c-11e6-a2a4-ac72891c3257     
    973970+               19bf19ca-81b1-11e6-92de-ac72891c3257    aermonthly      sulfate aod@550nm               aermonthly ((isd.003)) 
     
    12401237+       09c3f596-a5c3-11e6-ad29-5404a60d96b5    6f68feda-9acb-11e6-b7ee-ac72891c3257    emMon   2m dewpoint temperature         PMIP [PMIP-Amon-02] 
    12411238+               09c3f596-a5c3-11e6-ad29-5404a60d96b5    emMon   2m dewpoint temperature         DCPP [DCPP-mon] 
    1242 NEXT            14      day     tasmin  f7dcac96-562c-11e6-a2a4-ac72891c3257     
    1243 +               19bdb92c-81b1-11e6-92de-ac72891c3257    aerdaily        Daily Minimum Near-Surface Air Temperature      minimum near-surface (usually, 2 meter) air temperature (add cell_method attribute "time: min") aerdaily ((isd.003)) 
    1244 +       19bdb92c-81b1-11e6-92de-ac72891c3257    09c871b6-a5c3-11e6-ad29-5404a60d96b5    emDay   Daily Minimum Near-Surface Air Temperature      Daily Minimum Near-Surface Air Temperature      LS3MIP [LEday] 
    12451239NEXT            15      mon     t20d    f7ddef0c-562c-11e6-a2a4-ac72891c3257     
    12461240+               8b922f7a-4a5b-11e6-9cd2-ac72891c3257    emMon   20C isotherm depth      20C isotherm depth      PMIP [PMIP-Omon-02] 
     
    12701264NEXT            24      day     tasmax  f7dcac96-562c-11e6-a2a4-ac72891c3257     
    12711265+               19bdd402-81b1-11e6-92de-ac72891c3257    aerdaily        Daily Maximum Near-Surface Air Temperature      maximum near-surface (usually, 2 meter) air temperature (add cell_method attribute "time: max") aerdaily ((isd.003)) 
    1272 +       19bdd402-81b1-11e6-92de-ac72891c3257    09baf374-a5c3-11e6-ad29-5404a60d96b5    emDay   Daily Maximum Near-Surface Air Temperature              RFMIP [cldAerAdj] 
     1266+       bab94a50-e5dd-11e5-8482-ac72891c3257    09baf374-a5c3-11e6-ad29-5404a60d96b5    emDay   Daily Maximum Near-Surface Air Temperature              RFMIP [cldAerAdj] 
    12731267NEXT            25      mon     od440aer        f7dcac96-562c-11e6-a2a4-ac72891c3257     
    12741268+               19beeb4e-81b1-11e6-92de-ac72891c3257    aermonthly      ambient aerosol optical thickness at 440 nm     AOD from the ambient aerosls (i.e., includes aerosol water).  Does not include AOD from stratospheric aerosols if these are prescribed but includes other possible background aerosol types. Needs a comment attribute "wavelength: 440 nm"     aermonthly ((isd.003)) 
     
    13561350+       15d4d3ea-a600-11e6-9f7c-ac72891c3257    6f68feda-9acb-11e6-b7ee-ac72891c3257    emMon   2m dewpoint temperature         PMIP [PMIP-Amon-02] 
    13571351+               15d4d3ea-a600-11e6-9f7c-ac72891c3257    emMon   2m dewpoint temperature         DCPP [DCPP-mon] 
    1358 NEXT            12      day     tasmin  f7dcac96-562c-11e6-a2a4-ac72891c3257     
    1359 +               19bdb92c-81b1-11e6-92de-ac72891c3257    aerdaily        Daily Minimum Near-Surface Air Temperature      minimum near-surface (usually, 2 meter) air temperature (add cell_method attribute "time: min") aerdaily ((isd.003)) 
    1360 +       19bdb92c-81b1-11e6-92de-ac72891c3257    15da49e2-a600-11e6-9f7c-ac72891c3257    emDay   Daily Minimum Near-Surface Air Temperature      Daily Minimum Near-Surface Air Temperature      LS3MIP [LEday] 
    13611352NEXT            13      mon     t20d    f7ddef0c-562c-11e6-a2a4-ac72891c3257     
    13621353+               8b922f7a-4a5b-11e6-9cd2-ac72891c3257    emMon   20C isotherm depth      20C isotherm depth      PMIP [PMIP-Omon-02] 
     
    13711362NEXT            16      day     tasmax  f7dcac96-562c-11e6-a2a4-ac72891c3257     
    13721363+               19bdd402-81b1-11e6-92de-ac72891c3257    aerdaily        Daily Maximum Near-Surface Air Temperature      maximum near-surface (usually, 2 meter) air temperature (add cell_method attribute "time: max") aerdaily ((isd.003)) 
    1373 +       19bdd402-81b1-11e6-92de-ac72891c3257    15c980d0-a600-11e6-9f7c-ac72891c3257    emDay   Daily Maximum Near-Surface Air Temperature              RFMIP [cldAerAdj] 
     1364+       bab94a50-e5dd-11e5-8482-ac72891c3257    15c980d0-a600-11e6-9f7c-ac72891c3257    emDay   Daily Maximum Near-Surface Air Temperature              RFMIP [cldAerAdj] 
    13741365NEXT            17      day     pr      f7dcac96-562c-11e6-a2a4-ac72891c3257     
    13751366+               bab3d692-e5dd-11e5-8482-ac72891c3257    day     Precipitation   at surface; includes both liquid and solid phases from all types of clouds (both large-scale and convective)    day ((isd.003)) 
     
    14671458+               babda032-e5dd-11e5-8482-ac72891c3257    day     Geopotential Height             day ((isd.003)) 
    14681459+       babda032-e5dd-11e5-8482-ac72891c3257    8b8fb4f2-4a5b-11e6-9cd2-ac72891c3257    emDay   Geopotential Height             DAMIP [DAMIP_day] 
     1460NEXT            1       mon     ua      f7ded7a0-562c-11e6-a2a4-ac72891c3257     
     1461+               19bfc73a-81b1-11e6-92de-ac72891c3257    aermonthly      Eastward Wind           aermonthly ((isd.003)) 
     1462+       19bfc73a-81b1-11e6-92de-ac72891c3257    8bafaeba-4a5b-11e6-9cd2-ac72891c3257    emMon   Eastward Wind           HighResMIP [Amon_sparc] 
     1463NEXT            2       day     tasmax  f7e2a074-562c-11e6-a2a4-ac72891c3257     
     1464+       bab94a50-e5dd-11e5-8482-ac72891c3257    19bdd402-81b1-11e6-92de-ac72891c3257    aerdaily        Daily Maximum Near-Surface Air Temperature      maximum near-surface (usually, 2 meter) air temperature (add cell_method attribute "time: max") aerdaily ((isd.003)) 
     1465+               bab94a50-e5dd-11e5-8482-ac72891c3257    day     Daily Maximum Near-Surface Air Temperature              day ((isd.003)) 
     1466NEXT            3       day     tasmin  f7e59f36-562c-11e6-a2a4-ac72891c3257     
     1467+               bab95fae-e5dd-11e5-8482-ac72891c3257    day     Daily Minimum Near-Surface Air Temperature              day ((isd.003)) 
     1468+       bab95fae-e5dd-11e5-8482-ac72891c3257    19bdb92c-81b1-11e6-92de-ac72891c3257    aerdaily        Daily Minimum Near-Surface Air Temperature      minimum near-surface (usually, 2 meter) air temperature (add cell_method attribute "time: min") aerdaily ((isd.003)) 
     1469+       bab95fae-e5dd-11e5-8482-ac72891c3257    d227eea4-4a9f-11e6-b84e-ac72891c3257    emDay                   emDay 
     1470NEXT            1       mon     cVeg    f7de23aa-562c-11e6-a2a4-ac72891c3257     
     1471+               baa90258-e5dd-11e5-8482-ac72891c3257    Lmon    Carbon Mass in Vegetation               Lmon ((isd.003)) 
     1472+       baa90258-e5dd-11e5-8482-ac72891c3257    d229285a-4a9f-11e6-b84e-ac72891c3257    emMon   Carbon Mass in Vegetation               C4MIP [C_Basic] 
     1473NEXT            1       mon     snc     f7dcac96-562c-11e6-a2a4-ac72891c3257     
     1474+       8bbb0aa8-4a5b-11e6-9cd2-ac72891c3257    19beb3b8-81b1-11e6-92de-ac72891c3257    aermonthly      snow cover fraction             aermonthly ((isd.003)) 
     1475+               8bbb0aa8-4a5b-11e6-9cd2-ac72891c3257    LImon   Snow Area Fraction      Fraction of each grid cell that is occupied by snow that rests on land portion of cell. LImon ((isd.003)) 
  • CMIP6dreqbuild/trunk/src/workbook/inputs/strUidMap.txt

    r756 r904  
    193193str-x004 new__x004__ 
    194194str-x006 new__x006__ 
     195str-447 22364c54-c1d0-11e6-9285-ac72891c3257 
  • CMIP6dreqbuild/trunk/src/workbook/isd3b.py

    r876 r904  
    3535## 
    3636refCmv = ivg.refCmv() 
    37 extRefCmv = shelve.open( 'sh/extRefCmv' ) 
     37extRefCmvMode = 'r' 
     38extRefCmv = shelve.open( 'sh/extRefCmv', 'r' ) 
    3839extRefCmvInv = {} 
     40nd = 0 
     41sd = set() 
     42sd2 = set() 
    3943for k in extRefCmv: 
    4044  k1 = extRefCmv[k] 
    41   assert k1 not in extRefCmvInv, 'Duplicate key in extRefCmv: %s [%s] %s' % (k,k1,extRefCmvInv[k1]) 
     45  if k1 in extRefCmvInv: 
     46    print 'FATAL: Duplicate key in extRefCmv: %s [%s] %s' % (k,k1,extRefCmvInv[k1]) 
     47    sd.add(k) 
     48    sd2.add(extRefCmvInv[k1]) 
     49    nd += 1 
    4250  extRefCmvInv[k1] = k 
     51assert nd == 0, 'FATAL ERRORS FOUND ... see standard output: %s, %s'  % (str( sd ), str( sd2 ) ) 
    4352 
    4453def chkRefCmv( ntab, lab, u0, msg ): 
    4554              if ntab in refCmv.refUid[ntab] and lab in refCmv.refUid[ntab]: 
    4655                     uid = refCmv.refUid[ntab][lab] 
    47                      print 'INFO.uid0.%s: uid  found in extRefCmv: %s, %s (%s)' % (msg,ntab,lab,uid) 
     56                     print 'INFO.uid0.%s: uid  found in extRefCmv: %s, %s (%s) {%s}' % (msg,ntab,lab,uid,u0) 
    4857              else: 
    4958                     kk = str( '%s.%s' % (ntab,lab) ) 
    5059                     if kk in extRefCmv: 
    5160                       uid = extRefCmv[kk] 
    52                        print 'INFO.uid.%s: uid found in extRefCmv: %s, %s (%s)' % (msg,ntab,lab,uid) 
     61                       print 'INFO.uid.%s: uid found in extRefCmv: %s, %s (%s) {%s}' % (msg,ntab,lab,uid,u0) 
    5362                     else: 
    54                        extRefCmv[kk] = u0 
     63                       if extRefCmvMode != 'r': 
     64                         extRefCmv[kk] = u0 
    5565                       print 'WARN.uid.%s: uid not found: %s, %s (%s)' % (msg,ntab,lab,u0) 
    5666                       uid = u0 
     
    6474knownRealmA = [ 'LS3MIP [LWday]', 'LS3MIP [LEday]', 'CFMIP [cf1hrClimMon]', 'HighResMIP [3hr_cloud]', 'CFMIP [cf3hr_sim_new]', 'C4MIP [L_3hr]', 'DAMIP [DAMIP_day]', 'DAMIP [DAMIP_3hr_p2]', 'DynVar [DYVR_daily_c]', 'PMIP [PMIP-6hr]', 'HighResMIP [1hrLev]'] 
    6575knownRealmO = [ 'DAMIP [DAMIP_Omon_p2]', 'FAFMIP [fafOyr]'] 
     76varRealmMaps = {'land':['areacellg','orog'], 
     77                'landIce land':['snc'], 
     78               'landIce':['icem', 'sftflf', 'sftgrf','acabf','snicefreez', 'snicem', 'hfgeoubed', 'lithk', 'topg','areacelli','lialb', 'libmassbffl', 'libmassbfgr', 'licalvf', 'lifmassbf', 'litempbotfl', 'litempbotgr', 'litemptop', 'mrroIs','strbasemag', 'topg', 'xvelbase', 'xvelmean', 'xvelsurf', 'yvelbase', 'yvelmean', 'yvelsurf', 'zvelbase', 'zvelsurf','snmIs','sncIs','tsnIs','sbl'], 
     79               'atmos':['prra','prsn','prrc','sbl','tas','prCrop', 'tasmaxCrop', 'tasminCrop','hfls', 'hfss','rlds', 'rlus', 'rsds', 'rsus'] } 
     80varRealmMapsInv = {} 
     81for k in varRealmMaps: 
     82  for v in varRealmMaps[k]: 
     83    varRealmMapsInv[ v ] = k 
    6684 
    6785class replaceItems(object): 
     
    85103                  u'CORDEX_sem':'monClim', u'SPECS_6hr':'6hr', u'CMIP5_cfSites':'subhr', u'CCMI1_hourly':'hr', u'CMIP5_aero':'mon', \ 
    86104                  u'CMIP5_Amon':'mon', u'PMIP3_Omon':'mon', u'CCMI1_daily':'day', u'SPECS_fx':'fx', u'PMIP3_Lclim':'monClim', \ 
    87                   u'aermonthly':'mon', u'aerhourly':'hr', 'aerfixed':'fx', 'aerdaily':'day', 
     105                  u'aermonthly':'mon', u'aermonthlyz':'mon', u'aerhourly':'hr', 'aerfixed':'fx', 'aerdaily':'day', 
    88106                  u'DCPP-day':'day',  \ 
     107                  u'Odec':'dec', \ 
    89108                  u'PMIP3_Oclim':'monClim', u'SPECS_Amon':'mon', u'SPECS_Lmon':'mon', u'CMIP5_cf3hr':'3hr', u'CORDEX_3h':'3hr', \ 
    90109                  'OImon':'mon', 'Omon_oth':'mon', 'Omon':'mon',  'Oyr':'yr', 'Omon_3d':'mon', \ 
     
    234253    self.writeProcNotes() 
    235254    self.writeCmDim() 
    236     self.writeVar() 
    237255    self.writeRvg() 
    238256    self.prep(rq) 
    239     ##self.addAerChem()  ... now done upstream ?? 
    240257    self.cmvAudit(0) 
    241258    self.prepRequestItem() 
     
    249266        self.writeMipTables() 
    250267        self.writeCellMethods() 
     268      self.writeVar() 
    251269      self.finish() 
    252270      self.finish2() 
     
    262280          ku = str(ll[2]) 
    263281          s1[ll[0]].add(ll[9]) 
     282          if len( ku) == 1: 
     283            print 'SEVERE.rqi.00088: ',ll 
    264284## 
    265285          self.exptPnt[ku].append( str(k) ) 
     
    361381    ss = set() 
    362382    for k in WbMods.cellm.cminfo.keys(): 
    363       t,l,u = WbMods.cellm.cminfo[k] 
     383      t,l,u,d = WbMods.cellm.cminfo[k] 
    364384      item = self.doc.createElement( 'item' ) 
    365385      item.setAttribute( 'label', l ) 
     
    367387      item.setAttribute( 'cell_methods', k ) 
    368388      item.setAttribute( 'uid', u ) 
     389      if d != None: 
     390        item.setAttribute( 'description', d ) 
    369391      thiss.appendChild( item ) 
    370392 
     
    642664                    'prov', 'provNote', 'frequency', 'rowIndex', 'coordinates','defaultPriority','mipTableSection','processing') 
    643665    self.cmvinfo2 = ('uid','stid','label','title','description','vid', \ 
    644                     'deflate_level', 'shuffle', 'ok_max_mean_abs', 'type', 'ok_min_mean_abs',  \ 
    645                     'deflate', 'valid_min', 'modeling_realm', 'valid_max', 'positive', 'mipTable', 'mipTableSection',  \ 
     666                    'deflate_level', 'shuffle', 'type',  \ 
     667                    'deflate', 'modeling_realm', 'positive', 'mipTable', 'mipTableSection',  \ 
    646668                    'prov', 'provNote', 'frequency', 'rowIndex', 'defaultPriority','processing') 
    647669    self.rqvinfo = ('uid','label','vid','gpid','priority','mip','table' ) 
     
    802824                    self.realmByVar[ lab ].append( tt.modeling_realm ) 
    803825                    vgid = tt.gpid 
    804                     self.rqv.append( (str( uuid.uuid1() ),lab, uid, vgid, tt.priority,tt.mipTable,tt.mipTable) ) 
     826                    self.rqv.append( (str( uuid.uuid1() ),lab, uid, vgid, tt.priority,'CMIP5',tt.mipTable) ) 
    805827                    if sectid not in (None, '_na_'): 
    806                       self.rqv.append( (str( uuid.uuid1() ),lab, uid, sectid, tt.priority,tt.mipTable,tt.mipTable) ) 
     828                      self.rqv.append( (str( uuid.uuid1() ),lab, uid, sectid, tt.priority,'CMIP5',tt.mipTable) ) 
    807829                    if lab == 'somint': 
    808830                      print 'INFO.somint.0002:', self.rqv[-1] 
     
    814836                    self.rqvList.append( (thisd, 'prep:thisd' ) ) 
    815837 
    816     ##self.rqvinfo = ('uid','label','vid','gpid','priority','mip','table' ) 
    817838            self.dsort( dset ) 
    818839            print self.dsortdd[ksect][0].keys() 
     
    842863                  print 'INFO.045.00004: groupitem: ',rr 
    843864 
    844                 if rr[ixvar] == 'sisnconc': 
    845                   print 'INFO.sisnconc.0010:',rr 
     865                if rr[ixvar] == 'snc': 
     866                  print 'INFO.snc.0010:',rr 
    846867## 
    847868## convert floats back to integer 
     
    921942## adding label for mip here messes up referencing later ...  
    922943## 
    923                 if tt.mip == 'SIMIP': 
    924                   grprov = "SIMIP" 
     944                if tt.mip in [ 'SIMIP','LUMIP']: 
     945                  grprov = tt.mip 
    925946                else: 
    926947                  grprov = "" 
    927948 
    928                 if tt.cmorv[-3:] in ['700','200','300','850','000']: 
     949                if tt.cmorv[-3:] in ['500','700','200','300','850','000']: 
    929950                  print 'INFO.022.0002: Setting p... coordinate for ',tt 
    930951                  if tt.cmorv[-5:] in [ 't2000']: 
     
    940961                else: 
    941962                  thissh = tt.shape 
     963                 
     964                if thissh.find( ':' ) != -1: 
     965                   thissh, realmsuggest = thissh.split( ':' ) 
     966                elif tt.cmorv in varRealmMapsInv: 
     967                   realmsuggest = varRealmMapsInv[tt.cmorv] 
     968                else: 
     969                   realmsuggest = None 
    942970 
    943971### need to check where variables are, perhaps, refering to "ovar" 
     
    9741002                  ntab = 'LImon' 
    9751003                  tabsect = 'new' 
    976                   if tt.mask == 'ice sheet' and lab[-2:] != 'Li': 
    977                     self.deferredLabMap[tt.uid] = (lab,lab + 'Li') 
     1004                  ##if tt.mask == 'ice sheet' and lab[-2:] != 'Li': 
     1005                    ##self.deferredLabMap[tt.uid] = (lab,lab + 'Li') 
    9781006                  print 'INFO.limon.0001: Adding %s to LImon/new' % lab 
     1007                if thissh == 'YZT' and ntab[-1] != 'Z': 
     1008                  ntab += 'Z' 
    9791009 
    9801010                dset.add( (thissh, tt.levels,tt.tstyle,gr) ) 
     1011                if 'area: mean where ice_sheet' == smdd[tt.mask][1] and gr == 'o': 
     1012                   print 'SEVERE.structure.30001: ',tt.__dict__,gr 
    9811013                dsgpi.add( (thissh,tt.levels,tt.tstyle,gr,smdd[tt.mask], 'None', 'None', grprov) ) 
    9821014# 
     
    10181050                  self.realmByVar[ lab ].append( thisrealm ) 
    10191051                  thisrqv = [str( uuid.uuid1() ),lab, uid, tt.gpid, p, tt.mip, tt.group] 
    1020                   if lab in [ 'sisnconc','mrro']: 
     1052                  if lab in [ 'sisnconc','mrro','snc']: 
    10211053                    print 'INFO.%s.0001a:' % lab, thisrqv 
    10221054                  nov += 1 
     
    10241056                  print 'INFO.ovuu.00003: lookup started %s, %s' % (tt.cmorv,tt.group) 
    10251057                  thisrealm = '' 
    1026                   if realmdefix.has_key( prov ): 
     1058                  if realmsuggest != None: 
     1059                    thisrealm = realmsuggest 
     1060                  elif realmdefix.has_key( prov ): 
    10271061                    thisrealm = realmdefix[prov] 
    10281062                  else: 
     
    10321066 
    10331067                  if thisrealm == 'seaIce': 
    1034                     ntab = 'OImon' 
     1068                    if fr == 'mon': 
     1069                      ntab = 'OImon' 
     1070                    elif fr == 'day': 
     1071                      ntab = 'SIday' 
     1072                    else: 
     1073                      raise 
    10351074 
    10361075                  if tt.priority in [1,2,3]: 
     
    10651104                       if tt.uid in extRefCmvInv: 
    10661105                         print 'SEVERE.cmv.09909: uid issue %s [%s] %s' % (kk,tt.uid,extRefCmvInv[tt.uid]) 
    1067                        extRefCmv[kk] = tt.uid 
     1106                       if extRefCmvMode != 'r': 
     1107                         extRefCmv[kk] = tt.uid 
    10681108                       print 'ERROR.cmv.01003: uid not found: %s, %s (%s)' % (ntab,lab,tt.uid) 
    10691109                       uid = tt.uid 
     
    10711111                  if tt.levels in ['7h',]: 
    10721112                    if lab.find( tt.levels) == -1: 
    1073                       print 'WARN.cmv.00880: extending label %s --> %s (%s)' % (lab,lab+tt.levels, tt.group) 
     1113                      print 'WARN.cmv.00880: extending label %s --> %s (%s)' % (lab,lab+tt.levels, str( tt.__dict__)) 
    10741114                      lab += tt.levels 
    10751115                  uid = chkRefCmv( ntab, lab, tt.uid, 'cmv.01011' ) 
     
    10831123 
    10841124                  thisrqv = [str( uuid.uuid1() ),lab, uid, tt.gpid, p, tt.mip, tt.group]  
    1085                   if lab in ['mrro', 'sisnconc']: 
     1125                  if lab in ['mrro', 'sisnconc','snc']: 
    10861126                    print 'INFO.%s.0001b:' % lab, thisrqv, ptr, thiscmv 
    10871127                if trace.GROUPITEM_ta and lab  == 'ta': 
     
    12311271    for shp,lvls,sty,gr,tmsk, flgv, flgm, prov in dsgpi: 
    12321272        t = (shp,lvls,sty,gr) 
     1273        ttx = (shp,lvls,sty,gr,tmsk, flgv, flgm, prov) 
    12331274        if "t2000" in shp: 
    12341275           print 'CCCC',shp,lvls,sty,gr,tmsk, flgv, flgm, prov 
     
    12581299              if sty == u'weighted time mean': 
    12591300                 cmet = 'area: time: mean where sea_ice' 
     1301              elif sty == u'partial mean over sea': 
     1302                 cmet = 'area: mean where sea_ice over sea time: mean' 
    12601303              else: 
    1261                  cmet = 'area: mean where sea_ice time: mean' 
     1304                 cmet = 'area: time: mean' 
     1305            elif prov == 'LUMIP' and shp == 'XYLT': 
     1306               print 'INFO.lumip.00505: ',shp,lvls,sty,gr,tmsk, flgv, flgm, prov 
     1307               if sty == 'Time mean': 
     1308                  cmet = 'area: time: mean where landuse' 
     1309               elif sty == 'Cumulative annual fraction': 
     1310                  cmet = 'area: mean time: sum' 
     1311               elif sty == 'Instantaneous (end of year)': 
     1312                  cmet = 'area: mean where landUse time: point' 
    12621313            else: 
    12631314              cmet = cmetl[i] 
     
    12861337        else: 
    12871338          errc,u,label = self.lls.add2( [u,label,splab,tlab, odim, crd, cmet, cmea, '', '', desc, proc, prov]  ) 
    1288           ##print 'INFO.zzzy02: ',tt, tdim, cmet, label, u 
     1339          print 'INFO.zzzy02: ',tt, tdim, cmet, label, u, ttx 
    12891340             
    12901341          ee1[(tmid, spid, odim, cmet, cmea, crd)] = u 
     
    13361387      print 'WARN.fixcmv.0010: %s invalid vid value popped from fixcmv:%s [%s]' % (cc2[f],f,cc1[f]) 
    13371388 
    1338   def addAerChem(self): 
    1339     import importExtra 
    1340     lc = importExtra.loadAerChem() 
    1341     es = {} 
    1342     et = {} 
    1343     for l in self.dimsSpace.keys(): 
    1344       print self.dimsSpace[l] 
    1345       assert self.dimsSpace[l][1] not in es, 'Duplicate spatial dimension label: %s' % self.dimsSpace[l][1] 
    1346       es[self.dimsSpace[l][1]] = l 
    1347     for l in self.dimsTime.keys(): 
    1348       print 'INFO.time.0001: ',l,self.dimsTime[l] 
    1349       assert self.dimsTime[l][1] not in et, 'Duplicate spatial dimension label: %s' % self.dimsTime[l][1] 
    1350       et[self.dimsTime[l][1]] = l 
    1351     nt_acv = collections.namedtuple( 'acv', ['sn','title','label', 'units', 'description', 'subsect', 'freq', 'splab', 'tm' ] ) 
    1352     freq_map = {'hourly':'1hr', 'annual':'yr', 'daily':'day', 'fixed':'fx','monthly':'mon'}  
    1353     for t in lc.cc2.keys(): 
    1354       nn = 0 
    1355       for v in lc.cc2[t].a: 
    1356         v1 = v 
    1357         if v not in self.vars1: 
    1358           print 'INFO.kkkkk: AerChem Var missing: %s, %s' % (t,v) 
    1359           if string.replace( v, '_', '') in self.vars1: 
    1360             v1 = string.replace( v, '_', '') 
    1361             print 'INFO.kkkkk: AerChem %s found' % (v1) 
    1362             vid =  self.vars1[v1][0] 
    1363           else: 
    1364             vid = '__var_not_found_aerchem__' 
    1365         else: 
    1366           vid =  self.vars1[v1][0] 
    1367           nn += 1 
    1368         tt = nt_acv._make( lc.cc2[t].a[v][0] ) 
    1369         thisrealm = 'unset' 
    1370         freq = freq_map.get( tt.freq, tt.freq ) 
    1371         ntab = 'aer%s' % tt.freq 
    1372  
    1373         u0 = str(uuid.uuid1()) 
    1374         uid = chkRefCmv( ntab, tt.label, tt.uid, 'cmv.01005' ) 
    1375         thiscmv = (uid, (tt.splab,tt.tm), tt.label, tt.title, tt.description, vid, '','','','','float','','','','',"aerosol",'','',ntab,'AerChemMIP','',freq, 0, '', 1, tt.subsect, '') 
    1376         self.cmv.append( thiscmv ) 
    1377  
    1378         utab = self.importWbMods.vg.uidByLabel[ntab] 
    1379         self.rqv.append( (str(uuid.uuid1()), tt.label, thiscmv[0], utab, 1, 'AerChemMIP',ntab ) ) 
    1380         if tt.subsect in [u'AerChemMIP-Zonal2d',u'AerChemMIP-Zonal',u'AerChemMIP-Mon2d', u'Monthly-mean 2d', u'Monthly-mean 1d', u'Monthly-mean zonal mean 2d', u'Monthly-mean 2d (T2)', u'Monthly-mean zonal mean 2d (T2)']:  
    1381           print 'INFO.aerchem.0001: ', thiscmv 
    1382           nss = 'aermonthly-oth' 
    1383           uss = self.importWbMods.vg.uidByLabel[nss] 
    1384           self.rqv.append( (str(uuid.uuid1()), tt.label, thiscmv[0], uss, 1, 'AerChemMIP',nss ) ) 
    1385         elif tt.subsect in [ u'AerChemMIP-Mon3d',u'Monthly-mean 3d', u'Monthly-mean 3d (T2)']: 
    1386           print 'INFO.aerchem.0002: ', thiscmv 
    1387           nss = 'aermonthly-3d' 
    1388           uss = self.importWbMods.vg.uidByLabel[nss] 
    1389           self.rqv.append( (str(uuid.uuid1()), tt.label, thiscmv[0], uss, 1, 'AerChemMIP',nss ) ) 
    1390         if tt.subsect == 'Monthly-mean 2dxx': 
    1391           print 'INFO.aerchem.0001: ', thiscmv 
    1392           nss = 'aermonthly-2d' 
    1393           uss = self.importWbMods.vg.uidByLabel[nss] 
    1394           self.rqv.append( (str(uuid.uuid1()), tt.label, thiscmv[0], uss, 1, 'AerChemMIP',nss ) ) 
    1395         if tt.subsect == 'Daily 2d': 
    1396           print 'INFO.aerchem.0002: ', thiscmv 
    1397           nss = 'aerdaily-2d' 
    1398           uss = self.importWbMods.vg.uidByLabel[nss] 
    1399           self.rqv.append( (str(uuid.uuid1()), tt.label, thiscmv[0], uss, 1, 'AerChemMIP',nss ) ) 
    1400         if tt.label == 'somint': 
    1401           print 'INFO.somint.0004: ', self.rqv[-1] 
    1402       print 'INFO.kkkkk: AerChem Vars found: %s: %s' % (t,nn) 
    1403  
    14041389  def dsort_u1(self,eed,sde): 
    14051390        tdim = eed[2] 
     
    14781463        sss = [set(),set(),set()] 
    14791464        ttt = [ ('time1', u'Instantaneous (end of year)', 'instantaneous', 'point', 'Synoptic', u'synoptic', u'time: point'), 
    1480         ('Daily max', 'Daily min', 'time', 'Mean', u'time: mean', u'Time mean', u'daily mean', u'mean', u'time mean', u'time: day', u'time: mean', u'weighted time mean', 'Cumulative annual fraction'), 
     1465        ('Daily max', 'Daily min', 'time', 'Mean', u'time: mean', u'Time mean', u'daily mean', u'mean', u'time mean', u'time: day', u'time: mean', u'weighted time mean', 'Cumulative annual fraction','partial mean over sea'), 
    14811466        (), 
    14821467        ('diurnal','time3'), ('',)] 
     
    15061491             'XYSnT':('longitude|latitude|snowdepth','','time','',False), \ 
    15071492             'XYS1T':('longitude|latitude','sdepth1','time','',False), \ 
     1493             'XYH1T':('longitude|latitude','height100','time','',False), \ 
    15081494             'XYZT*':('longitude|latitude|%s','','time','',True), \ 
    15091495              'KZT':('alevel','spectband','time','',False), \ 
     
    18161802              vid = str( ll[3] ) 
    18171803   
     1804              print 'INFO.isd005.0001: ',thisl, uid, vgid 
    18181805              item.setAttribute( 'title', thisl + ' ((isd.005))' ) 
    18191806              item.setAttribute( 'uid', thisuuid ) 
     
    20712058              lsfx = '7h' 
    20722059            elif "plev7c" in spinfo[3]: 
    2073               lsfx = '7c' 
     2060              lsfx = '' 
    20742061            elif "plev4" in spinfo[3]: 
    20752062              lsfx = '4' 
     
    21472134### reset table name for OImon ... correcting for frequency as well 
    21482135### 
     2136              omitThis = False 
    21492137              mtable = item.getAttribute( 'mipTable' ) 
    21502138              prov = item.getAttribute( 'prov' ) 
     
    21662154                  if string.find( self.structInfo[stid][1], 'time: point' ) != -1 or tmid == tmidpt: 
    21672155                    mtable += 'pt' 
    2168                   if string.find( self.spatialDims[ self.structInfo[stid][2] ], 'longitude' ) == -1: 
     2156                  if string.find( self.spatialDims[ self.structInfo[stid][2] ], 'longitude' ) == -1 and mtable[-1] != 'Z': 
    21692157                    mtable += 'Z' 
    21702158                else: 
    21712159                    print 'WARN.090.09999: structure uid not found',stid, r 
    21722160              elif mtable0 == 'Amon' and thisl[-6:] == 'Adjust': 
    2173                 print 'INFO.adjust.0001: %s moved to AmonAdj' % thisl 
     2161                print 'INFO.adjust.0001: %s moved to AmonAdj .. and omitted' % thisl 
    21742162                mtable = 'AmonAdj' 
     2163                omitThis = True 
    21752164              if mtable != r[ktable]: 
    21762165                item.setAttribute( 'mipTable', mtable ) 
     
    22502239                print 'WARN.cmvlab.00030: changed cmv label: %s %s %s %s' % (l0,l1,u0,u1) 
    22512240              self._cmvLabByUid[item.getAttribute('uid')] = item.getAttribute( 'label') 
    2252               self.ff[ksect][0].appendChild( item ) 
     2241              if not omitThis: 
     2242                self.ff[ksect][0].appendChild( item ) 
    22532243          print 'INFO.tables.0001: ',stab 
    22542244 
     
    25352525                    item.setAttribute( thiskk, v ) 
    25362526 
     2527                item.setAttribute( 'label', thisl.replace( '.', '-' ) ) 
    25372528                item.setAttribute( 'title', thisl ) 
    25382529                self.ff[ksect][0].appendChild( item ) 
  • CMIP6dreqbuild/trunk/src/workbook/ivg.py

    r799 r904  
    1 from scansh import rq 
     1from scansh02 import rq 
    22import string, collections, uuid, shelve 
    33import importWbRef 
     
    188188        r = [x.value for x in sht.row(i)] 
    189189        for x in range(6): 
    190           if r[-x] in ["("('',)",)",'("(\'\',)",)']: 
     190          if r[-x] in ["("('',)",)",'("(\'\',)",)',"('',)"]: 
    191191            r[-x] = '' 
    192192        uid = r[-1] 
     
    211211            cm = cm2 
    212212          else: 
    213             print 'ERROR.cm.00001: cell methods not found: %s' % cm 
     213            print 'ERROR.cm.00001: cell methods not found: %s, %s' % (cm,r[9]) 
    214214            cmid = '__cm_not_found__' 
    215215            raise 
     
    348348      rc = 0 
    349349      label = self.ref2ByUid[u][2] 
     350      print 'INFO.structure.10001: label reset: ',t2,label 
    350351      done = 1 
    351352    else: 
     
    364365          done = 2 
    365366          rc = 0 
     367          print 'INFO.structure.10002: label reset: ',t2,l2,label 
    366368 
    367369    if done == 0: 
  • CMIP6dreqbuild/trunk/src/workbook/vocabs.xml

    r876 r904  
    1111<institute id="cmip.drv.001" label="institute" title="Institute" uid="SECTION:institute" useClass="vocab"> 
    1212<!-- <info srcType="dummy" srcRef="ptxt.py">Dummy entries</info> --> 
    13 <item description="Met Office Hadley Centre, Fitzroy Road, Exeter, Devon, EX1 3PB, UK." isni="0000 0001 2299 303X  [UKMO]" label="MOHC" title="MOHC" uid="5456f0c6-b0d7-11e6-9ffa-ac72891c3257" url="http://www.metoffice.gov.uk; http://www.metoffice.gov.uk/climate-guide/science/science-behind-climate-change/hadley"/> 
    14 <item description="Institut Pierre Simon Laplace, Paris, France" isni="0000 0000 9000 8794" label="IPSL" title="IPSL" uid="5456f54e-b0d7-11e6-9ffa-ac72891c3257" url="https://www.ipsl.fr/en/"/> 
    15 <item description="Centre National de Recherches Meteorologiques, Meteo-France, Toulouse, France) and CERFACS (Centre Europeen de Recherches et de Formation Avancee en Calcul Scientifique, Toulouse, France" isni="0000 0004 0640 7549 " label="CNRM-CERFACS" title="CNRM-CERFACS" uid="5456f954-b0d7-11e6-9ffa-ac72891c3257" url="http://www.cnrm.meteo.fr/spip.php?rubrique1&amp;lang=en; http://www.cerfacs.fr 
     13<item description="Met Office Hadley Centre, Fitzroy Road, Exeter, Devon, EX1 3PB, UK." isni="0000 0001 2299 303X  [UKMO]" label="MOHC" title="MOHC" uid="b8a7d1aa-bc97-11e6-921e-ac72891c3257" url="http://www.metoffice.gov.uk; http://www.metoffice.gov.uk/climate-guide/science/science-behind-climate-change/hadley"/> 
     14<item description="Institut Pierre Simon Laplace, Paris, France" isni="0000 0000 9000 8794" label="IPSL" title="IPSL" uid="b8a7d7b8-bc97-11e6-921e-ac72891c3257" url="https://www.ipsl.fr/en/"/> 
     15<item description="Centre National de Recherches Meteorologiques, Meteo-France, Toulouse, France) and CERFACS (Centre Europeen de Recherches et de Formation Avancee en Calcul Scientifique, Toulouse, France" isni="0000 0004 0640 7549 " label="CNRM-CERFACS" title="CNRM-CERFACS" uid="b8a7dca4-bc97-11e6-921e-ac72891c3257" url="http://www.cnrm.meteo.fr/spip.php?rubrique1&amp;lang=en; http://www.cerfacs.fr 
    1616"/> 
    17 <item description="Norwegian Climate Centre" isni="" label="NCC" title="NCC" uid="5456fd50-b0d7-11e6-9ffa-ac72891c3257" url="http://folk.uib.no/ngfhd/EarthClim/index.htm"/> 
    18 <item description="Australian Commonwealth Scientific and Industrial Research Organization (CSIRO) Marine and Atmospheric Research (Melbourne, Australia) in collaboration with the Queensland Climate Change Centre of Excellence (QCCCE) (Brisbane, Australia)" isni="0000 0001 2173 2719 ;  0000 0004 0380 0628 [Queensland Government]" label="CSIRO-QCCCE" title="CSIRO-QCCCE" uid="54570142-b0d7-11e6-9ffa-ac72891c3257" url="www.csiro.au ; http://www.ehp.qld.gov.au/climatechange/index.html "/> 
    19 <item description="Canadian Centre for Climate Modelling and Analysis, Victoria, BC, Canada" isni="" label="CCCma" title="CCCma" uid="54570534-b0d7-11e6-9ffa-ac72891c3257" url=""/> 
    20 <item description="Institute for Numerical Mathematics, Moscow, Russia" isni="" label="INM" title="INM" uid="54570930-b0d7-11e6-9ffa-ac72891c3257" url=""/> 
    21 <item description="Meteorological Research Institute, Tsukuba, Japan" isni="" label="MRI" title="MRI" uid="54570dea-b0d7-11e6-9ffa-ac72891c3257" url=""/> 
    22 <item description="AORI (Atmosphere and Ocean Research Institute, The University of Tokyo, Chiba, Japan), NIES (National Institute for Environmental Studies, Ibaraki, Japan), JAMSTEC (Japan Agency for Marine-Earth Science and Technology, Kanagawa, Japan)" isni="" label="MIROC" title="MIROC" uid="5457131c-b0d7-11e6-9ffa-ac72891c3257" url=""/> 
    23 <item description="JAMSTEC (Japan Agency for Marine-Earth Science and Technology, Kanagawa, Japan), AORI (Atmosphere and Ocean Research Institute, The University of Tokyo, Chiba, Japan), and NIES (National Institute for Environmental Studies, Ibaraki, Japan)" isni="" label="MIROC" title="MIROC" uid="54571a74-b0d7-11e6-9ffa-ac72891c3257" url=""/> 
    24 <item description="Goddard Institute for Space Studies, New York, NY" isni="0000 0001 1456 7559  [NASA]" label="NASA-GISS" title="NASA-GISS" uid="545723ca-b0d7-11e6-9ffa-ac72891c3257" url="http://www.giss.nasa.gov/"/> 
    25 <item description="National Center for Atmospheric Research, Boulder, CO, USA" isni="0000 0004 0637 9680 " label="NCAR" title="NCAR" uid="545731bc-b0d7-11e6-9ffa-ac72891c3257" url="ncar.ucar.edu"/> 
    26 <item description="NOAA GFDL, 201 Forrestal Rd, Princeton, NJ, 08540" isni="0000 0000 9269 5516 " label="NOAA-GFDL" title="NOAA-GFDL" uid="5457372a-b0d7-11e6-9ffa-ac72891c3257" url="www.gfdl.noaa.gov"/> 
    27 <item description="Beijing Climate Center,China Meteorological Administration,China" isni="0000 0001 2234 550X [CMA]" label="BCC" title="BCC" uid="54573c2a-b0d7-11e6-9ffa-ac72891c3257" url=""/> 
    28 <item description="Max Planck Institute for Meteorology" isni="" label="MPI-M" title="MPI-M" uid="54574364-b0d7-11e6-9ffa-ac72891c3257" url=""/> 
    29 <item description="Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China and Tsinghua University" isni="" label="LASG-CESS" title="LASG-CESS" uid="54574b3e-b0d7-11e6-9ffa-ac72891c3257" url=""/> 
    30 <item description="Global Modeling and Assimilation Office, NASA Goddard Space Flight Center, Greenbelt, MD 20771" isni="0000 0001 1456 7559  [NASA]" label="NASA-GMAO" title="NASA-GMAO" uid="545752e6-b0d7-11e6-9ffa-ac72891c3257" url=""/> 
    31 <item description="GCESS,BNU,Beijing,China (College of Global Change and Earth System Science, Beijing Normal University)" isni="" label="BNU" title="BNU" uid="545757c8-b0d7-11e6-9ffa-ac72891c3257" url=""/> 
    32 <item description="National Center for Atmospheric Research, Boulder, CO, USA" isni="" label="NSF-DOE-NCAR" title="NSF-DOE-NCAR" uid="54575c64-b0d7-11e6-9ffa-ac72891c3257" url=""/> 
    33 <item description="PNNL (Pacific Northwest National Laboratory) Richland, WA, USA/NCAR (National Center for Atmospheric Research) Boulder, CO, USA" isni="" label="NSF-DOE-NCAR" title="NSF-DOE-NCAR" uid="54576114-b0d7-11e6-9ffa-ac72891c3257" url=""/> 
    34 <item description="NSF/DOE NCAR (National Center for Atmospheric Research) Boulder, CO, USA" isni="" label="NSF-DOE-NCAR" title="NSF-DOE-NCAR" uid="545765b0-b0d7-11e6-9ffa-ac72891c3257" url=""/> 
    35 <item description="Commonwealth Scientific and Industrial Research Organisation, Australia, and Bureau of Meteorology, Australia" isni="0000 0001 2173 2719  [CSIRO]; 0000 0004 0628 7751 [BOM]" label="CSIRO-BOM" title="CSIRO-BOM" uid="54576a4c-b0d7-11e6-9ffa-ac72891c3257" url="www.csiro.au ; http://www.bom.gov.au/"/> 
    36 <item description="Nonhydrostatic Icosahedral Atmospheric Model (NICAM) Group (RIGC-JAMSTEC/AORI-U.Tokyo/AICS-RIKEN,Japan)" isni="" label="NICAM" title="NICAM" uid="5457700a-b0d7-11e6-9ffa-ac72891c3257" url=""/> 
    37 <item description="Centro Euro-Mediterraneo per i Cambiamenti Climatici, Bologna, Italy" isni="0000 0004 1761 0884" label="CMCC" title="CMCC" uid="545774ce-b0d7-11e6-9ffa-ac72891c3257" url="www.cmcc.it"/> 
    38 <item description="The First Institution of Oceanography,SOA,Qingdao,China" isni="" label="FIO" title="FIO" uid="5457796a-b0d7-11e6-9ffa-ac72891c3257" url=""/> 
    39 <item description="Institute of Atmospheric Physics, Chinese Academy of Sciences,Beijing,China" isni="" label="LASG-IAP" title="LASG-IAP" uid="54577dde-b0d7-11e6-9ffa-ac72891c3257" url=""/> 
    40 <item description="National Institute of Meteorological Research, Seoul, South Korea" isni="" label="NIMR-KMA" title="NIMR-KMA" uid="5457827a-b0d7-11e6-9ffa-ac72891c3257" url=""/> 
    41 <item description="European Earth System Model" isni="" label="ICHEC" title="ICHEC" uid="54578716-b0d7-11e6-9ffa-ac72891c3257" url=""/> 
    42 <item description="Center for Ocean-Land-Atmosphere Studies, Calverton, MD" isni="" label="COLA-CFS" title="COLA-CFS" uid="54579198-b0d7-11e6-9ffa-ac72891c3257" url=""/> 
    43 <item description="National Centers for Environmental Prediction, Camp Springs, MD" isni="" label="NOAA-NCEP" title="NOAA-NCEP" uid="54579670-b0d7-11e6-9ffa-ac72891c3257" url=""/> 
     17<item description="Norwegian Climate Centre" isni="" label="NCC" title="NCC" uid="b8a7e15e-bc97-11e6-921e-ac72891c3257" url="http://folk.uib.no/ngfhd/EarthClim/index.htm"/> 
     18<item description="Australian Commonwealth Scientific and Industrial Research Organization (CSIRO) Marine and Atmospheric Research (Melbourne, Australia) in collaboration with the Queensland Climate Change Centre of Excellence (QCCCE) (Brisbane, Australia)" isni="0000 0001 2173 2719 ;  0000 0004 0380 0628 [Queensland Government]" label="CSIRO-QCCCE" title="CSIRO-QCCCE" uid="b8a7e866-bc97-11e6-921e-ac72891c3257" url="www.csiro.au ; http://www.ehp.qld.gov.au/climatechange/index.html "/> 
     19<item description="Canadian Centre for Climate Modelling and Analysis, Victoria, BC, Canada" isni="" label="CCCma" title="CCCma" uid="b8a7ef28-bc97-11e6-921e-ac72891c3257" url=""/> 
     20<item description="Institute for Numerical Mathematics, Moscow, Russia" isni="" label="INM" title="INM" uid="b8a7f748-bc97-11e6-921e-ac72891c3257" url=""/> 
     21<item description="Meteorological Research Institute, Tsukuba, Japan" isni="" label="MRI" title="MRI" uid="b8a7fcfc-bc97-11e6-921e-ac72891c3257" url=""/> 
     22<item description="AORI (Atmosphere and Ocean Research Institute, The University of Tokyo, Chiba, Japan), NIES (National Institute for Environmental Studies, Ibaraki, Japan), JAMSTEC (Japan Agency for Marine-Earth Science and Technology, Kanagawa, Japan)" isni="" label="MIROC" title="MIROC" uid="b8a801d4-bc97-11e6-921e-ac72891c3257" url=""/> 
     23<item description="JAMSTEC (Japan Agency for Marine-Earth Science and Technology, Kanagawa, Japan), AORI (Atmosphere and Ocean Research Institute, The University of Tokyo, Chiba, Japan), and NIES (National Institute for Environmental Studies, Ibaraki, Japan)" isni="" label="MIROC" title="MIROC" uid="b8a8067a-bc97-11e6-921e-ac72891c3257" url=""/> 
     24<item description="Goddard Institute for Space Studies, New York, NY" isni="0000 0001 1456 7559  [NASA]" label="NASA-GISS" title="NASA-GISS" uid="b8a80b16-bc97-11e6-921e-ac72891c3257" url="http://www.giss.nasa.gov/"/> 
     25<item description="National Center for Atmospheric Research, Boulder, CO, USA" isni="0000 0004 0637 9680 " label="NCAR" title="NCAR" uid="b8a81674-bc97-11e6-921e-ac72891c3257" url="ncar.ucar.edu"/> 
     26<item description="NOAA GFDL, 201 Forrestal Rd, Princeton, NJ, 08540" isni="0000 0000 9269 5516 " label="NOAA-GFDL" title="NOAA-GFDL" uid="b8a81b38-bc97-11e6-921e-ac72891c3257" url="www.gfdl.noaa.gov"/> 
     27<item description="Beijing Climate Center,China Meteorological Administration,China" isni="0000 0001 2234 550X [CMA]" label="BCC" title="BCC" uid="b8a81fe8-bc97-11e6-921e-ac72891c3257" url=""/> 
     28<item description="Max Planck Institute for Meteorology" isni="" label="MPI-M" title="MPI-M" uid="b8a82484-bc97-11e6-921e-ac72891c3257" url=""/> 
     29<item description="Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China and Tsinghua University" isni="" label="LASG-CESS" title="LASG-CESS" uid="b8a82920-bc97-11e6-921e-ac72891c3257" url=""/> 
     30<item description="Global Modeling and Assimilation Office, NASA Goddard Space Flight Center, Greenbelt, MD 20771" isni="0000 0001 1456 7559  [NASA]" label="NASA-GMAO" title="NASA-GMAO" uid="b8a82d9e-bc97-11e6-921e-ac72891c3257" url=""/> 
     31<item description="GCESS,BNU,Beijing,China (College of Global Change and Earth System Science, Beijing Normal University)" isni="" label="BNU" title="BNU" uid="b8a8321c-bc97-11e6-921e-ac72891c3257" url=""/> 
     32<item description="National Center for Atmospheric Research, Boulder, CO, USA" isni="" label="NSF-DOE-NCAR" title="NSF-DOE-NCAR" uid="b8a83686-bc97-11e6-921e-ac72891c3257" url=""/> 
     33<item description="PNNL (Pacific Northwest National Laboratory) Richland, WA, USA/NCAR (National Center for Atmospheric Research) Boulder, CO, USA" isni="" label="NSF-DOE-NCAR" title="NSF-DOE-NCAR" uid="b8a83b18-bc97-11e6-921e-ac72891c3257" url=""/> 
     34<item description="NSF/DOE NCAR (National Center for Atmospheric Research) Boulder, CO, USA" isni="" label="NSF-DOE-NCAR" title="NSF-DOE-NCAR" uid="b8a83f82-bc97-11e6-921e-ac72891c3257" url=""/> 
     35<item description="Commonwealth Scientific and Industrial Research Organisation, Australia, and Bureau of Meteorology, Australia" isni="0000 0001 2173 2719  [CSIRO]; 0000 0004 0628 7751 [BOM]" label="CSIRO-BOM" title="CSIRO-BOM" uid="b8a8441e-bc97-11e6-921e-ac72891c3257" url="www.csiro.au ; http://www.bom.gov.au/"/> 
     36<item description="Nonhydrostatic Icosahedral Atmospheric Model (NICAM) Group (RIGC-JAMSTEC/AORI-U.Tokyo/AICS-RIKEN,Japan)" isni="" label="NICAM" title="NICAM" uid="b8a848e2-bc97-11e6-921e-ac72891c3257" url=""/> 
     37<item description="Centro Euro-Mediterraneo per i Cambiamenti Climatici, Bologna, Italy" isni="0000 0004 1761 0884" label="CMCC" title="CMCC" uid="b8a84d7e-bc97-11e6-921e-ac72891c3257" url="www.cmcc.it"/> 
     38<item description="The First Institution of Oceanography,SOA,Qingdao,China" isni="" label="FIO" title="FIO" uid="b8a851fc-bc97-11e6-921e-ac72891c3257" url=""/> 
     39<item description="Institute of Atmospheric Physics, Chinese Academy of Sciences,Beijing,China" isni="" label="LASG-IAP" title="LASG-IAP" uid="b8a8568e-bc97-11e6-921e-ac72891c3257" url=""/> 
     40<item description="National Institute of Meteorological Research, Seoul, South Korea" isni="" label="NIMR-KMA" title="NIMR-KMA" uid="b8a85b34-bc97-11e6-921e-ac72891c3257" url=""/> 
     41<item description="European Earth System Model" isni="" label="ICHEC" title="ICHEC" uid="b8a85fb2-bc97-11e6-921e-ac72891c3257" url=""/> 
     42<item description="Center for Ocean-Land-Atmosphere Studies, Calverton, MD" isni="" label="COLA-CFS" title="COLA-CFS" uid="b8a86944-bc97-11e6-921e-ac72891c3257" url=""/> 
     43<item description="National Centers for Environmental Prediction, Camp Springs, MD" isni="" label="NOAA-NCEP" title="NOAA-NCEP" uid="b8a86dd6-bc97-11e6-921e-ac72891c3257" url=""/> 
    4444</institute> 
    4545<model id="cmip.drv.002" label="model" title="Model" uid="SECTION:model" useClass="vocab"> 
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    47 <item description="" label="ACCESS" title="" uid="545acdfe-b0d7-11e6-9ffa-ac72891c3257"/> 
    48 <item description="" label="AWI-CM" title="" uid="545ad2e0-b0d7-11e6-9ffa-ac72891c3257"/> 
    49 <item description="" label="BCC" title="" uid="545ad704-b0d7-11e6-9ffa-ac72891c3257"/> 
    50 <item description="" label="BESM" title="" uid="545adb5a-b0d7-11e6-9ffa-ac72891c3257"/> 
    51 <item description="" label="BNU" title="" uid="545adf74-b0d7-11e6-9ffa-ac72891c3257"/> 
    52 <item description="" label="CAMS-CSM" title="" uid="545ae35c-b0d7-11e6-9ffa-ac72891c3257"/> 
    53 <item description="" label="CanESM" title="" uid="545ae758-b0d7-11e6-9ffa-ac72891c3257"/> 
    54 <item description="" label="CAS-ESM" title="" uid="545aeb68-b0d7-11e6-9ffa-ac72891c3257"/> 
    55 <item description="" label="CESM" title="" uid="545aef46-b0d7-11e6-9ffa-ac72891c3257"/> 
    56 <item description="" label="CESS-THU" title="" uid="545af342-b0d7-11e6-9ffa-ac72891c3257"/> 
    57 <item description="" label="CMCC" title="" uid="545af748-b0d7-11e6-9ffa-ac72891c3257"/> 
    58 <item description="" label="CNRM" title="" uid="545afb44-b0d7-11e6-9ffa-ac72891c3257"/> 
    59 <item description="" label="EC-Earth" title="" uid="545aff18-b0d7-11e6-9ffa-ac72891c3257"/> 
    60 <item description="" label="FGOALS" title="" uid="545b0332-b0d7-11e6-9ffa-ac72891c3257"/> 
    61 <item description="" label="FIO" title="" uid="545b0760-b0d7-11e6-9ffa-ac72891c3257"/> 
    62 <item description="" label="GFDL" title="" uid="545b0b66-b0d7-11e6-9ffa-ac72891c3257"/> 
    63 <item description="" label="GISS" title="" uid="545b0f62-b0d7-11e6-9ffa-ac72891c3257"/> 
    64 <item description="" label="IITM" title="" uid="545b1368-b0d7-11e6-9ffa-ac72891c3257"/> 
    65 <item description="" label="INM" title="" uid="545b1750-b0d7-11e6-9ffa-ac72891c3257"/> 
    66 <item description="" label="IPSL" title="" uid="545b1b42-b0d7-11e6-9ffa-ac72891c3257"/> 
    67 <item description="" label="MIROC6-CGCM" title="" uid="545b1f34-b0d7-11e6-9ffa-ac72891c3257"/> 
    68 <item description="" label="MIROC-ESM" title="" uid="545b2326-b0d7-11e6-9ffa-ac72891c3257"/> 
    69 <item description="" label="NICAM" title="" uid="545b272c-b0d7-11e6-9ffa-ac72891c3257"/> 
    70 <item description="" label="MPI-ESM" title="" uid="545b2fe2-b0d7-11e6-9ffa-ac72891c3257"/> 
    71 <item description="" label="MRI-ESM1-x" title="" uid="545b33e8-b0d7-11e6-9ffa-ac72891c3257"/> 
    72 <item description="" label="MRI-AGCM3-xS" title="" uid="545b37e4-b0d7-11e6-9ffa-ac72891c3257"/> 
    73 <item description="" label="NorESM" title="" uid="545b3bfe-b0d7-11e6-9ffa-ac72891c3257"/> 
    74 <item description="" label="NUIST-CSM" title="" uid="545b3fdc-b0d7-11e6-9ffa-ac72891c3257"/> 
    75 <item description="" label="UKESM1-N96ORCA1" title="" uid="545b43d8-b0d7-11e6-9ffa-ac72891c3257"/> 
    76 <item description="" label="UKESM1-N216ORCA025hybrid" title="" uid="545b47fc-b0d7-11e6-9ffa-ac72891c3257"/> 
    77 <item description="" label="HadGEM3-GC3-N96ORCA025" title="" uid="545b4be4-b0d7-11e6-9ffa-ac72891c3257"/> 
    78 <item description="" label="HadGEm3-GC3-N216ORCA025" title="" uid="545b4fe0-b0d7-11e6-9ffa-ac72891c3257"/> 
    79 <item description="" label="KMA-ACE" title="" uid="545b5404-b0d7-11e6-9ffa-ac72891c3257"/> 
    80 <item description="" label="UKESM--KMA" title="" uid="545b594a-b0d7-11e6-9ffa-ac72891c3257"/> 
     47<item description="" label="ACCESS" title="" uid="b8abbb62-bc97-11e6-921e-ac72891c3257"/> 
     48<item description="" label="AWI-CM" title="" uid="b8abbfe0-bc97-11e6-921e-ac72891c3257"/> 
     49<item description="" label="BCC" title="" uid="b8abc3fa-bc97-11e6-921e-ac72891c3257"/> 
     50<item description="" label="BESM" title="" uid="b8abc7f6-bc97-11e6-921e-ac72891c3257"/> 
     51<item description="" label="BNU" title="" uid="b8abcc24-bc97-11e6-921e-ac72891c3257"/> 
     52<item description="" label="CAMS-CSM" title="" uid="b8abd016-bc97-11e6-921e-ac72891c3257"/> 
     53<item description="" label="CanESM" title="" uid="b8abd3fe-bc97-11e6-921e-ac72891c3257"/> 
     54<item description="" label="CAS-ESM" title="" uid="b8abd804-bc97-11e6-921e-ac72891c3257"/> 
     55<item description="" label="CESM" title="" uid="b8abdc00-bc97-11e6-921e-ac72891c3257"/> 
     56<item description="" label="CESS-THU" title="" uid="b8abdfde-bc97-11e6-921e-ac72891c3257"/> 
     57<item description="" label="CMCC" title="" uid="b8abe39e-bc97-11e6-921e-ac72891c3257"/> 
     58<item description="" label="CNRM" title="" uid="b8abe79a-bc97-11e6-921e-ac72891c3257"/> 
     59<item description="" label="EC-Earth" title="" uid="b8abeb8c-bc97-11e6-921e-ac72891c3257"/> 
     60<item description="" label="FGOALS" title="" uid="b8abef7e-bc97-11e6-921e-ac72891c3257"/> 
     61<item description="" label="FIO" title="" uid="b8abf366-bc97-11e6-921e-ac72891c3257"/> 
     62<item description="" label="GFDL" title="" uid="b8abf758-bc97-11e6-921e-ac72891c3257"/> 
     63<item description="" label="GISS" title="" uid="b8abfb40-bc97-11e6-921e-ac72891c3257"/> 
     64<item description="" label="IITM" title="" uid="b8abff78-bc97-11e6-921e-ac72891c3257"/> 
     65<item description="" label="INM" title="" uid="b8ac064e-bc97-11e6-921e-ac72891c3257"/> 
     66<item description="" label="IPSL" title="" uid="b8ac0a4a-bc97-11e6-921e-ac72891c3257"/> 
     67<item description="" label="MIROC6-CGCM" title="" uid="b8ac0e3c-bc97-11e6-921e-ac72891c3257"/> 
     68<item description="" label="MIROC-ESM" title="" uid="b8ac1210-bc97-11e6-921e-ac72891c3257"/> 
     69<item description="" label="NICAM" title="" uid="b8ac15ee-bc97-11e6-921e-ac72891c3257"/> 
     70<item description="" label="MPI-ESM" title="" uid="b8ac1a08-bc97-11e6-921e-ac72891c3257"/> 
     71<item description="" label="MRI-ESM1-x" title="" uid="b8ac1df0-bc97-11e6-921e-ac72891c3257"/> 
     72<item description="" label="MRI-AGCM3-xS" title="" uid="b8ac21c4-bc97-11e6-921e-ac72891c3257"/> 
     73<item description="" label="NorESM" title="" uid="b8ac25b6-bc97-11e6-921e-ac72891c3257"/> 
     74<item description="" label="NUIST-CSM" title="" uid="b8ac2b38-bc97-11e6-921e-ac72891c3257"/> 
     75<item description="" label="UKESM1-N96ORCA1" title="" uid="b8ac2f34-bc97-11e6-921e-ac72891c3257"/> 
     76<item description="" label="UKESM1-N216ORCA025hybrid" title="" uid="b8ac3312-bc97-11e6-921e-ac72891c3257"/> 
     77<item description="" label="HadGEM3-GC3-N96ORCA025" title="" uid="b8ac3768-bc97-11e6-921e-ac72891c3257"/> 
     78<item description="" label="HadGEm3-GC3-N216ORCA025" title="" uid="b8ac3b6e-bc97-11e6-921e-ac72891c3257"/> 
     79<item description="" label="KMA-ACE" title="" uid="b8ac3f74-bc97-11e6-921e-ac72891c3257"/> 
     80<item description="" label="UKESM--KMA" title="" uid="b8ac4334-bc97-11e6-921e-ac72891c3257"/> 
    8181</model> 
    8282<physicsvers id="cmip.drv.003" label="physicsvers" title="Physics Version" uid="SECTION:physicsvers" useClass="vocab"> 
     
    9494<activity id="cmip.drv.006" label="activity" title="Coordinating activity" uid="SECTION:activity" useClass="vocab"> 
    9595<!-- <info srcType="dummy" srcRef="ptxt.py">Dummy entries</info> --> 
    96 <item label="CMIP6" project="CMIP" status="" title="Coupled Model Intercomparison Project, Phase 6" uid="545961ee-b0d7-11e6-9ffa-ac72891c3257" url="http://www.wcrp-climate.org/wgcm-cmip/wgcm-cmip6"/> 
    97 <item label="AerChemMIP" project="Aerocom CCMI" status="" title="Aerosols and Chemistry Model Intercomparison Project" uid="5459670c-b0d7-11e6-9ffa-ac72891c3257" url="https://wiki.met.no/aerocom/aerchemmip/start"/> 
    98 <item label="C4MIP" project="" status="" title="Coupled Climate Carbon Cycle Model Intercomparison Project" uid="54596bee-b0d7-11e6-9ffa-ac72891c3257" url="http://c4mip.lsce.ipsl.fr/"/> 
    99 <item label="CFMIP" project="" status="" title="Cloud Feedback Model Intercomparison Project" uid="545970a8-b0d7-11e6-9ffa-ac72891c3257" url="http://www.cfmip.net/"/> 
    100 <item label="DAMIP" project="" status="" title="Detection and Attribution Model Intercomparison Project" uid="54597562-b0d7-11e6-9ffa-ac72891c3257" url="http://www.wcrp-climate.org/modelling-wgcm-mip-catalogue/modelling-wgcm-mips/475-modelling-wgcm-damip"/> 
    101 <item label="DCPP" project="DCP" status="" title="Decadal Climate Prediction Project" uid="54597a1c-b0d7-11e6-9ffa-ac72891c3257" url=""/> 
    102 <item label="FAFMIP" project="" status="" title="Flux-Anomaly-Forced Model Intercomparison Project" uid="54597ed6-b0d7-11e6-9ffa-ac72891c3257" url="http://www.met.reading.ac.uk/~jonathan/FAFMIP/"/> 
    103 <item label="GeoMIP" project="" status="" title="Geoengineering Model Intercomparison Project" uid="545984c6-b0d7-11e6-9ffa-ac72891c3257" url="http://climate.envsci.rutgers.edu/GeoMIP/index.html"/> 
    104 <item label="GMMIP" project="" status="" title="Global Monsoons Model Intercomparison Project" uid="54598976-b0d7-11e6-9ffa-ac72891c3257" url="http://www.met.reading.ac.uk/~sws05agt/MonsoonMIP/"/> 
    105 <item label="HighResMIP" project="" status="" title="High Resolution Model Intercomparison Project" uid="54599060-b0d7-11e6-9ffa-ac72891c3257" url="https://dev.knmi.nl/projects/highresmip/wiki"/> 
    106 <item label="ISMIP6" project="" status="" title="Ice Sheet Model Intercomparison Project for CMIP6" uid="54599650-b0d7-11e6-9ffa-ac72891c3257" url="http://www.climate-cryosphere.org/activities/targeted/ismip6"/> 
    107 <item label="LS3MIP" project="" status="" title="Land Surface, Snow and Soil Moisture MIP" uid="54599b14-b0d7-11e6-9ffa-ac72891c3257" url=""/> 
    108 <item label="LUMIP" project="" status="" title="Land-Use Model Intercomparison Project" uid="5459a01e-b0d7-11e6-9ffa-ac72891c3257" url=""/> 
    109 <item label="OMIP" project="" status="" title="Ocean Model Intercomparison Project" uid="5459a802-b0d7-11e6-9ffa-ac72891c3257" url=""/> 
    110 <item label="PDRMIP" project="" status="withdrawn" title="Precipitation Driver and Response Model Intercomparison Project" uid="5459ace4-b0d7-11e6-9ffa-ac72891c3257" url=""/> 
    111 <item label="PMIP" project="PMIP" status="" title="Palaeoclimate Modelling Intercomparison Project" uid="5459b0e0-b0d7-11e6-9ffa-ac72891c3257" url=""/> 
    112 <item label="RFMIP" project="" status="" title="Radiative Forcing Model Intercomparison Project" uid="5459b4d2-b0d7-11e6-9ffa-ac72891c3257" url=""/> 
    113 <item label="ScenarioMIP" project="" status="" title="Scenario Model Intercomparison Project" uid="5459b8ec-b0d7-11e6-9ffa-ac72891c3257" url=""/> 
    114 <item label="SolarMIP" project="" status="merged with DAMIP" title="Solar Model Intercomparison Project" uid="5459bce8-b0d7-11e6-9ffa-ac72891c3257" url=""/> 
    115 <item label="VolMIP" project="" status="" title="Volcanic Forcings Model Intercomparison Project" uid="5459c0da-b0d7-11e6-9ffa-ac72891c3257" url=""/> 
    116 <item label="CORDEX" project="CORDEX" status="Diagnostic" title="Coordinated Regional Downscaling Experiment (CORDEX)" uid="5459c4e0-b0d7-11e6-9ffa-ac72891c3257" url=""/> 
    117 <item label="DynVar" project="DynVar" status="Diagnostic" title="Modelling the Dynamics and Variability of the Stratosphere-Troposphere System" uid="5459c8d2-b0d7-11e6-9ffa-ac72891c3257" url="http://www.sparcdynvar.org/models-data/"/> 
    118 <item label="SIMIP" project="" status="Diagnostic" title="Sea Ice Model Intercomparison Project" uid="5459ccf6-b0d7-11e6-9ffa-ac72891c3257" url="http://gaim.unh.edu/Structure/Future/MIPs/SIMIP.html"/> 
    119 <item label="VIACSAB" project="" status="Diagnostic" title="Vulnerability, Impacts, Adaptation, and Climate Services Advisory Board (VIACS AB)" uid="5459d1ec-b0d7-11e6-9ffa-ac72891c3257" url=""/> 
    120 <item label="SPECS" project="" status="" title="Sesonal-to-decadal climate Prediction for the improvement of European Climate Services" uid="5459d6a6-b0d7-11e6-9ffa-ac72891c3257" url="http://www.specs-fp7.eu/"/> 
    121 <item label="CCMI" project="" status="" title="Chemistry-Climate Model Initiative" uid="5459db24-b0d7-11e6-9ffa-ac72891c3257" url="http://www.met.reading.ac.uk/ccmi/"/> 
    122 <item label="CMIP5" project="CMIP" status="" title="Coupled Model Intercomparison Project, Phase 5" uid="5459dfd4-b0d7-11e6-9ffa-ac72891c3257" url=""/> 
    123 <item label="CMIP" project="" status="" title="Coupled Model Intercomparison Project" uid="5459e52e-b0d7-11e6-9ffa-ac72891c3257" url=""/> 
     96<item label="CMIP6" project="CMIP" status="" title="Coupled Model Intercomparison Project, Phase 6" uid="b8aa4b6a-bc97-11e6-921e-ac72891c3257" url="http://www.wcrp-climate.org/wgcm-cmip/wgcm-cmip6"/> 
     97<item label="AerChemMIP" project="Aerocom CCMI" status="" title="Aerosols and Chemistry Model Intercomparison Project" uid="b8aa50b0-bc97-11e6-921e-ac72891c3257" url="https://wiki.met.no/aerocom/aerchemmip/start"/> 
     98<item label="C4MIP" project="" status="" title="Coupled Climate Carbon Cycle Model Intercomparison Project" uid="b8aa5682-bc97-11e6-921e-ac72891c3257" url="http://c4mip.lsce.ipsl.fr/"/> 
     99<item label="CFMIP" project="" status="" title="Cloud Feedback Model Intercomparison Project" uid="b8aa5b5a-bc97-11e6-921e-ac72891c3257" url="http://www.cfmip.net/"/> 
     100<item label="DAMIP" project="" status="" title="Detection and Attribution Model Intercomparison Project" uid="b8aa600a-bc97-11e6-921e-ac72891c3257" url="http://www.wcrp-climate.org/modelling-wgcm-mip-catalogue/modelling-wgcm-mips/475-modelling-wgcm-damip"/> 
     101<item label="DCPP" project="DCP" status="" title="Decadal Climate Prediction Project" uid="b8aa64ce-bc97-11e6-921e-ac72891c3257" url=""/> 
     102<item label="FAFMIP" project="" status="" title="Flux-Anomaly-Forced Model Intercomparison Project" uid="b8aa6960-bc97-11e6-921e-ac72891c3257" url="http://www.met.reading.ac.uk/~jonathan/FAFMIP/"/> 
     103<item label="GeoMIP" project="" status="" title="Geoengineering Model Intercomparison Project" uid="b8aa6dfc-bc97-11e6-921e-ac72891c3257" url="http://climate.envsci.rutgers.edu/GeoMIP/index.html"/> 
     104<item label="GMMIP" project="" status="" title="Global Monsoons Model Intercomparison Project" uid="b8aa72ca-bc97-11e6-921e-ac72891c3257" url="http://www.met.reading.ac.uk/~sws05agt/MonsoonMIP/"/> 
     105<item label="HighResMIP" project="" status="" title="High Resolution Model Intercomparison Project" uid="b8aa7c2a-bc97-11e6-921e-ac72891c3257" url="https://dev.knmi.nl/projects/highresmip/wiki"/> 
     106<item label="ISMIP6" project="" status="" title="Ice Sheet Model Intercomparison Project for CMIP6" uid="b8aa80e4-bc97-11e6-921e-ac72891c3257" url="http://www.climate-cryosphere.org/activities/targeted/ismip6"/> 
     107<item label="LS3MIP" project="" status="" title="Land Surface, Snow and Soil Moisture MIP" uid="b8aa85b2-bc97-11e6-921e-ac72891c3257" url=""/> 
     108<item label="LUMIP" project="" status="" title="Land-Use Model Intercomparison Project" uid="b8aa8a62-bc97-11e6-921e-ac72891c3257" url=""/> 
     109<item label="OMIP" project="" status="" title="Ocean Model Intercomparison Project" uid="b8aa8f3a-bc97-11e6-921e-ac72891c3257" url=""/> 
     110<item label="PDRMIP" project="" status="withdrawn" title="Precipitation Driver and Response Model Intercomparison Project" uid="b8aa93cc-bc97-11e6-921e-ac72891c3257" url=""/> 
     111<item label="PMIP" project="PMIP" status="" title="Palaeoclimate Modelling Intercomparison Project" uid="b8aa9868-bc97-11e6-921e-ac72891c3257" url=""/> 
     112<item label="RFMIP" project="" status="" title="Radiative Forcing Model Intercomparison Project" uid="b8aa9cf0-bc97-11e6-921e-ac72891c3257" url=""/> 
     113<item label="ScenarioMIP" project="" status="" title="Scenario Model Intercomparison Project" uid="b8aaa182-bc97-11e6-921e-ac72891c3257" url=""/> 
     114<item label="SolarMIP" project="" status="merged with DAMIP" title="Solar Model Intercomparison Project" uid="b8aaa650-bc97-11e6-921e-ac72891c3257" url=""/> 
     115<item label="VolMIP" project="" status="" title="Volcanic Forcings Model Intercomparison Project" uid="b8aaaad8-bc97-11e6-921e-ac72891c3257" url=""/> 
     116<item label="CORDEX" project="CORDEX" status="Diagnostic" title="Coordinated Regional Downscaling Experiment (CORDEX)" uid="b8aaafce-bc97-11e6-921e-ac72891c3257" url=""/> 
     117<item label="DynVar" project="DynVar" status="Diagnostic" title="Modelling the Dynamics and Variability of the Stratosphere-Troposphere System" uid="b8aab442-bc97-11e6-921e-ac72891c3257" url="http://www.sparcdynvar.org/models-data/"/> 
     118<item label="SIMIP" project="" status="Diagnostic" title="Sea Ice Model Intercomparison Project" uid="b8aab8e8-bc97-11e6-921e-ac72891c3257" url="http://gaim.unh.edu/Structure/Future/MIPs/SIMIP.html"/> 
     119<item label="VIACSAB" project="" status="Diagnostic" title="Vulnerability, Impacts, Adaptation, and Climate Services Advisory Board (VIACS AB)" uid="b8aabd70-bc97-11e6-921e-ac72891c3257" url=""/> 
     120<item label="SPECS" project="" status="" title="Sesonal-to-decadal climate Prediction for the improvement of European Climate Services" uid="b8aac20c-bc97-11e6-921e-ac72891c3257" url="http://www.specs-fp7.eu/"/> 
     121<item label="CCMI" project="" status="" title="Chemistry-Climate Model Initiative" uid="b8aac6a8-bc97-11e6-921e-ac72891c3257" url="http://www.met.reading.ac.uk/ccmi/"/> 
     122<item label="CMIP5" project="CMIP" status="" title="Coupled Model Intercomparison Project, Phase 5" uid="b8ab03f2-bc97-11e6-921e-ac72891c3257" url=""/> 
     123<item label="CMIP" project="" status="" title="Coupled Model Intercomparison Project" uid="b8ab092e-bc97-11e6-921e-ac72891c3257" url=""/> 
    124124</activity> 
    125125<product id="cmip.drv.007" label="product" title="Data product" uid="SECTION:product" useClass="vocab"> 
     
    133133<frequency id="cmip.drv.009" label="frequency" title="Temporal frequency of data values" uid="SECTION:frequency" useClass="vocab"> 
    134134<!-- <info srcType="dummy" srcRef="ptxt.py">Dummy entries</info> --> 
    135 <item isClimatology="0" iso="P1Y" label="yr" title="Annual" uid="5457c744-b0d7-11e6-9ffa-ac72891c3257"/> 
    136 <item isClimatology="1" iso="P1M" label="monClim" title="Monthly climatology" uid="5457cbc2-b0d7-11e6-9ffa-ac72891c3257"/> 
    137 <item isClimatology="0" iso="P1M" label="mon" title="Monthly" uid="5457cff0-b0d7-11e6-9ffa-ac72891c3257"/> 
    138 <item isClimatology="0" iso="P1D" label="day" title="Daily" uid="5457d414-b0d7-11e6-9ffa-ac72891c3257"/> 
    139 <item isClimatology="0" iso="PT6H" label="6hr" title="6-hourly" uid="5457d838-b0d7-11e6-9ffa-ac72891c3257"/> 
    140 <item isClimatology="0" iso="PT3H" label="3hr" title="3-hourly" uid="5457dc8e-b0d7-11e6-9ffa-ac72891c3257"/> 
    141 <item isClimatology="0" iso="PT1H" label="hr" title="Hourly" uid="5457e0bc-b0d7-11e6-9ffa-ac72891c3257"/> 
    142 <item isClimatology="0" iso="" label="subhr" title="Sub-hourly" uid="5457e4ea-b0d7-11e6-9ffa-ac72891c3257"/> 
     135<item isClimatology="0" iso="P1Y" label="yr" title="Annual" uid="b8a8a274-bc97-11e6-921e-ac72891c3257"/> 
     136<item isClimatology="1" iso="P1M" label="monClim" title="Monthly climatology" uid="b8a8a6de-bc97-11e6-921e-ac72891c3257"/> 
     137<item isClimatology="0" iso="P1M" label="mon" title="Monthly" uid="b8a8aaee-bc97-11e6-921e-ac72891c3257"/> 
     138<item isClimatology="0" iso="P1D" label="day" title="Daily" uid="b8a8af1c-bc97-11e6-921e-ac72891c3257"/> 
     139<item isClimatology="0" iso="PT6H" label="6hr" title="6-hourly" uid="b8a8b322-bc97-11e6-921e-ac72891c3257"/> 
     140<item isClimatology="0" iso="PT3H" label="3hr" title="3-hourly" uid="b8a8b750-bc97-11e6-921e-ac72891c3257"/> 
     141<item isClimatology="0" iso="PT1H" label="hr" title="Hourly" uid="b8a8bb4c-bc97-11e6-921e-ac72891c3257"/> 
     142<item isClimatology="0" iso="" label="subhr" title="Sub-hourly" uid="b8a8bf48-bc97-11e6-921e-ac72891c3257"/> 
    143143</frequency> 
    144144<realm id="cmip.drv.010" label="realm" title="Modeling realm" uid="SECTION:realm" useClass="vocab"> 
    145145<!-- <info srcType="dummy" srcRef="ptxt.py">Dummy entries</info> --> 
    146 <item label="atmos" title="Atmospheric" uid="54552642-b0d7-11e6-9ffa-ac72891c3257"/> 
    147 <item label="ocean" title="Oceanic" uid="54557660-b0d7-11e6-9ffa-ac72891c3257"/> 
    148 <item label="land" title="Land" uid="5455c3ae-b0d7-11e6-9ffa-ac72891c3257"/> 
    149 <item label="landIce" title="Terrestrial cryosphere" uid="5455ce80-b0d7-11e6-9ffa-ac72891c3257"/> 
    150 <item label="seaIce" title="Marine cryosphere" uid="5455d29a-b0d7-11e6-9ffa-ac72891c3257"/> 
    151 <item label="aerosol" title="Aerosols" uid="5455d678-b0d7-11e6-9ffa-ac72891c3257"/> 
    152 <item label="atmosChem" title="Atmospheric chemistry" uid="5455db78-b0d7-11e6-9ffa-ac72891c3257"/> 
    153 <item label="ocnBgchem" title="Ocean bio-geochemistry" uid="5455df06-b0d7-11e6-9ffa-ac72891c3257"/> 
     146<item label="atmos" title="Atmospheric" uid="b8a5dbe8-bc97-11e6-921e-ac72891c3257"/> 
     147<item label="ocean" title="Oceanic" uid="b8a62972-bc97-11e6-921e-ac72891c3257"/> 
     148<item label="land" title="Land" uid="b8a6776a-bc97-11e6-921e-ac72891c3257"/> 
     149<item label="landIce" title="Terrestrial cryosphere" uid="b8a6832c-bc97-11e6-921e-ac72891c3257"/> 
     150<item label="seaIce" title="Marine cryosphere" uid="b8a6873c-bc97-11e6-921e-ac72891c3257"/> 
     151<item label="aerosol" title="Aerosols" uid="b8a68b24-bc97-11e6-921e-ac72891c3257"/> 
     152<item label="atmosChem" title="Atmospheric chemistry" uid="b8a68ed0-bc97-11e6-921e-ac72891c3257"/> 
     153<item label="ocnBgchem" title="Ocean bio-geochemistry" uid="b8a69236-bc97-11e6-921e-ac72891c3257"/> 
    154154</realm> 
    155155<grid id="cmip.drv.011" label="grid" title="Native grid" uid="SECTION:grid" useClass="vocab"> 
    156156<!-- <info srcType="dummy" srcRef="ptxt.py">Dummy entries</info> --> 
    157 <item label="atmosphere" title="Atmosphere grid" uid="5457ee5e-b0d7-11e6-9ffa-ac72891c3257"/> 
    158 <item label="ocean" title="Ocean grid" uid="5457f232-b0d7-11e6-9ffa-ac72891c3257"/> 
    159 <item label="ice" title="Grid used for ice sheets" uid="5457f5a2-b0d7-11e6-9ffa-ac72891c3257"/> 
    160 <item label="land" title="Grid used for land surface modelling" uid="5457f908-b0d7-11e6-9ffa-ac72891c3257"/> 
     157<item label="atmosphere" title="Atmosphere grid" uid="b8a8caf6-bc97-11e6-921e-ac72891c3257"/> 
     158<item label="ocean" title="Ocean grid" uid="b8a8ce98-bc97-11e6-921e-ac72891c3257"/> 
     159<item label="ice" title="Grid used for ice sheets" uid="b8a8d1ea-bc97-11e6-921e-ac72891c3257"/> 
     160<item label="land" title="Grid used for land surface modelling" uid="b8a8d53c-bc97-11e6-921e-ac72891c3257"/> 
    161161</grid> 
    162162<dimensions id="cmip.drv.012" label="dimensions" title="MIP table variable dimensions" uid="SECTION:dimensions" useClass="vocab"> 
     
    170170<table id="cmip.drv.014" label="table" title="Data specification table" uid="SECTION:table" useClass="vocab"> 
    171171<!-- <info srcType="dummy" srcRef="ptxt.py">Dummy entries</info> --> 
    172 <item comment="" description="Definitions of all the coordinate variables used in the CMIP6 data request" frequency="fx" label="grids" title="Fixed coordinate variables" uid="545a0266-b0d7-11e6-9ffa-ac72891c3257"/> 
    173 <item comment="" description="Variables with no time dependency" frequency="fx" label="fx" title="Fixed variables" uid="545a077a-b0d7-11e6-9ffa-ac72891c3257"/> 
    174 <item comment="&quot;ocean&quot; as in &quot;ocean grid&quot;" description="Annual mean variables on the ocean grid." frequency="yr" label="Oyr" title="Annual ocean variables" uid="545a46fe-b0d7-11e6-9ffa-ac72891c3257"/> 
    175 <item comment="For CMIP5 there was &quot;Oclim&quot; for ocean climatologies, and atmospheric climatologies were in Amon. Moving Atmospheric climatologies to Clim gives us a strict hierarchy with a single &quot;frequency&quot; in each table." description="Monthly Mean Climatology" frequency="monClim" label="Clim" title="Monthly climatologies" uid="545a4ca8-b0d7-11e6-9ffa-ac72891c3257"/> 
    176 <item comment="" description="Monthly Mean Ocean Fields, Including Biogechemical Field" frequency="mon" label="Omon" title="Monthly ocean variables" uid="545a5126-b0d7-11e6-9ffa-ac72891c3257"/> 
    177 <item comment="See comment on ts: http://dreq01.vanillaforums.com/discussion/29/surface-temperature?new=1" description="Monthly Mean Atmospheric Fields and Some Surface Field" frequency="mon" label="Amon" title="Montly atmospheric variables (excluding composition and radiation)" uid="545a55a4-b0d7-11e6-9ffa-ac72891c3257"/> 
    178 <item comment="" description="Monthly Mean Land Cryosphere Fields" frequency="mon" label="LImon" title="Monthly land ice" uid="545a5a0e-b0d7-11e6-9ffa-ac72891c3257"/> 
    179 <item comment="&quot;land&quot; as in &quot;land grid&quot; -- not including variables on atmospheric grid requested for analysis of land processes" description="Monthly Mean Land Fields, Including Physical, Vegetation, Soil, and Biogeochemical Variables" frequency="mon" label="Lmon" title="Monthly land variables" uid="545a5e96-b0d7-11e6-9ffa-ac72891c3257"/> 
    180 <item comment="" description="Monthly Mean Ocean Cryosphere Fields" frequency="mon" label="OImon" title="Sea-ice" uid="545a6364-b0d7-11e6-9ffa-ac72891c3257"/> 
    181 <item comment="Used in CMIP5; not requested by CfMIP in CMIP6, but, provisionally, by HighResMIP" description="Monthly Offline Cloud Diagnostic Fields" frequency="mon" label="cfOff" title="Offline diagnostics for cloud forcing analysis" uid="545a680a-b0d7-11e6-9ffa-ac72891c3257"/> 
    182 <item comment="Contains radiative fields from cfMon; some duplication with Amon " description="" frequency="mon" label="Rmon" title="Monthly atmospheric radiation data" uid="545a6cce-b0d7-11e6-9ffa-ac72891c3257"/> 
    183 <item comment="" description="Monthly atmospheric composition, including aerosols and properties of aerosols (but see Rmon for radiation quantities)" frequency="mon" label="Cmon" title="Monthly Atmospheric Composition Data" uid="545a7174-b0d7-11e6-9ffa-ac72891c3257"/> 
    184 <item comment="" description="Daily Mean Atmosphere, Ocean and Surface Fields" frequency="day" label="Oday" title="Daily  ocean data" uid="545a7642-b0d7-11e6-9ffa-ac72891c3257"/> 
    185 <item comment="" description="" frequency="" label="Aday" title="Daily atmospheric data, excluding composition and cloud forcing" uid="545a7af2-b0d7-11e6-9ffa-ac72891c3257"/> 
    186 <item comment="Formerly &quot;aero&quot;" description="" frequency="day" label="Cday" title="Daily atmospheric composition data" uid="545a801a-b0d7-11e6-9ffa-ac72891c3257"/> 
    187 <item comment="" description="" frequency="" label="cfDay" title="Daily data associated with cloud forcing" uid="545a84de-b0d7-11e6-9ffa-ac72891c3257"/> 
    188 <item comment="" description="Fields (Sampled Every 6 Hours) for Driving Regional Models " frequency="6hr" label="6hrLev" title="6-hourly atmospheric data on model levels" uid="545a89c0-b0d7-11e6-9ffa-ac72891c3257"/> 
    189 <item comment="Only 3 levels in CMIP5, more levels requested in CMIP6 by HighResMIP (low priority)" description="Fields (Sampled Every 6 Hours) for Storm-Track Analysis and other Advanced Diagnostic Applications" frequency="6hr" label="6hrPlev" title="6-hourly atmospheric data on pressure levels" uid="545a8e7a-b0d7-11e6-9ffa-ac72891c3257"/> 
    190 <item comment="CMIP5 had two MIP tables at 3hr frequency, &quot;3hr&quot; and &quot;cf3hr&quot;. In some cases variables were requested as instantaneous in one and accumulated in the other. Making two tables with clear definitions should make it easier to see what is going on." description="" frequency="3hr" label="3hrPoint" title="3-hourly data, instantaenous fields" uid="545a9320-b0d7-11e6-9ffa-ac72891c3257"/> 
    191 <item comment="" description="Atmospheric and Surface Fields Sampled Every 3 Hours" frequency="3hr" label="3hrAcc" title="3-hourly data, accumulated fields" uid="545a97d0-b0d7-11e6-9ffa-ac72891c3257"/> 
    192 <item comment="New -- part of HighResMIP request." description="" frequency="1hr" label="1hr" title="" uid="545a9c76-b0d7-11e6-9ffa-ac72891c3257"/> 
    193 <item comment="Includes cfsites and data for highresmip" description="" frequency="subhr" label="subhr" title="" uid="545aa13a-b0d7-11e6-9ffa-ac72891c3257"/> 
     172<item comment="" description="Definitions of all the coordinate variables used in the CMIP6 data request" frequency="fx" label="grids" title="Fixed coordinate variables" uid="b8ab28be-bc97-11e6-921e-ac72891c3257"/> 
     173<item comment="" description="Variables with no time dependency" frequency="fx" label="fx" title="Fixed variables" uid="b8ab2db4-bc97-11e6-921e-ac72891c3257"/> 
     174<item comment="&quot;ocean&quot; as in &quot;ocean grid&quot;" description="Annual mean variables on the ocean grid." frequency="yr" label="Oyr" title="Annual ocean variables" uid="b8ab321e-bc97-11e6-921e-ac72891c3257"/> 
     175<item comment="For CMIP5 there was &quot;Oclim&quot; for ocean climatologies, and atmospheric climatologies were in Amon. Moving Atmospheric climatologies to Clim gives us a strict hierarchy with a single &quot;frequency&quot; in each table." description="Monthly Mean Climatology" frequency="monClim" label="Clim" title="Monthly climatologies" uid="b8ab36ba-bc97-11e6-921e-ac72891c3257"/> 
     176<item comment="" description="Monthly Mean Ocean Fields, Including Biogechemical Field" frequency="mon" label="Omon" title="Monthly ocean variables" uid="b8ab3b56-bc97-11e6-921e-ac72891c3257"/> 
     177<item comment="See comment on ts: http://dreq01.vanillaforums.com/discussion/29/surface-temperature?new=1" description="Monthly Mean Atmospheric Fields and Some Surface Field" frequency="mon" label="Amon" title="Montly atmospheric variables (excluding composition and radiation)" uid="b8ab3ff2-bc97-11e6-921e-ac72891c3257"/> 
     178<item comment="" description="Monthly Mean Land Cryosphere Fields" frequency="mon" label="LImon" title="Monthly land ice" uid="b8ab44ac-bc97-11e6-921e-ac72891c3257"/> 
     179<item comment="&quot;land&quot; as in &quot;land grid&quot; -- not including variables on atmospheric grid requested for analysis of land processes" description="Monthly Mean Land Fields, Including Physical, Vegetation, Soil, and Biogeochemical Variables" frequency="mon" label="Lmon" title="Monthly land variables" uid="b8ab497a-bc97-11e6-921e-ac72891c3257"/> 
     180<item comment="" description="Monthly Mean Ocean Cryosphere Fields" frequency="mon" label="OImon" title="Sea-ice" uid="b8ab4e34-bc97-11e6-921e-ac72891c3257"/> 
     181<item comment="Used in CMIP5; not requested by CfMIP in CMIP6, but, provisionally, by HighResMIP" description="Monthly Offline Cloud Diagnostic Fields" frequency="mon" label="cfOff" title="Offline diagnostics for cloud forcing analysis" uid="b8ab52a8-bc97-11e6-921e-ac72891c3257"/> 
     182<item comment="Contains radiative fields from cfMon; some duplication with Amon " description="" frequency="mon" label="Rmon" title="Monthly atmospheric radiation data" uid="b8ab57a8-bc97-11e6-921e-ac72891c3257"/> 
     183<item comment="" description="Monthly atmospheric composition, including aerosols and properties of aerosols (but see Rmon for radiation quantities)" frequency="mon" label="Cmon" title="Monthly Atmospheric Composition Data" uid="b8ab5c44-bc97-11e6-921e-ac72891c3257"/> 
     184<item comment="" description="Daily Mean Atmosphere, Ocean and Surface Fields" frequency="day" label="Oday" title="Daily  ocean data" uid="b8ab6108-bc97-11e6-921e-ac72891c3257"/> 
     185<item comment="" description="" frequency="" label="Aday" title="Daily atmospheric data, excluding composition and cloud forcing" uid="b8ab65a4-bc97-11e6-921e-ac72891c3257"/> 
     186<item comment="Formerly &quot;aero&quot;" description="" frequency="day" label="Cday" title="Daily atmospheric composition data" uid="b8ab6a22-bc97-11e6-921e-ac72891c3257"/> 
     187<item comment="" description="" frequency="" label="cfDay" title="Daily data associated with cloud forcing" uid="b8ab6f7c-bc97-11e6-921e-ac72891c3257"/> 
     188<item comment="" description="Fields (Sampled Every 6 Hours) for Driving Regional Models " frequency="6hr" label="6hrLev" title="6-hourly atmospheric data on model levels" uid="b8ab7440-bc97-11e6-921e-ac72891c3257"/> 
     189<item comment="Only 3 levels in CMIP5, more levels requested in CMIP6 by HighResMIP (low priority)" description="Fields (Sampled Every 6 Hours) for Storm-Track Analysis and other Advanced Diagnostic Applications" frequency="6hr" label="6hrPlev" title="6-hourly atmospheric data on pressure levels" uid="b8ab78fa-bc97-11e6-921e-ac72891c3257"/> 
     190<item comment="CMIP5 had two MIP tables at 3hr frequency, &quot;3hr&quot; and &quot;cf3hr&quot;. In some cases variables were requested as instantaneous in one and accumulated in the other. Making two tables with clear definitions should make it easier to see what is going on." description="" frequency="3hr" label="3hrPoint" title="3-hourly data, instantaenous fields" uid="b8ab82dc-bc97-11e6-921e-ac72891c3257"/> 
     191<item comment="" description="Atmospheric and Surface Fields Sampled Every 3 Hours" frequency="3hr" label="3hrAcc" title="3-hourly data, accumulated fields" uid="b8ab87b4-bc97-11e6-921e-ac72891c3257"/> 
     192<item comment="New -- part of HighResMIP request." description="" frequency="1hr" label="1hr" title="" uid="b8ab8cb4-bc97-11e6-921e-ac72891c3257"/> 
     193<item comment="Includes cfsites and data for highresmip" description="" frequency="subhr" label="subhr" title="" uid="b8ab916e-bc97-11e6-921e-ac72891c3257"/> 
    194194</table> 
    195195<cref id="cmip.drv.015" label="cref" title="Coordinate Reference" uid="SECTION:cref" useClass="vocab"> 
     
    203203<timeSlice id="cmip.drv.017" label="timeSlice" title="Time slices used in data request" uid="SECTION:timeSlice" useClass="vocab"> 
    204204<!-- <info srcType="dummy" srcRef="ptxt.py">Dummy entries</info> --> 
    205 <item child="" description="" end="2020.0" items="" label="DAMIP42" nyears="42.0" sliceLen="" start="1979.0" step="" title="DAMIP 42 year" type="simpleRange" uid="5458a5d8-b0d7-11e6-9ffa-ac72891c3257"/> 
    206 <item child="" description="" end="2020.0" items="" label="DAMIP60" nyears="61.0" sliceLen="" start="1961.0" step="" title="DAMIP 60 year" type="simpleRange" uid="5458ad30-b0d7-11e6-9ffa-ac72891c3257"/> 
    207 <item child="" description="" end="2100.0" items="" label="DAMIP40" nyears="40.0" sliceLen="20.0" start="2041.0" step="40.0" title="DAMIP 20 year slices" type="sliceList" uid="5458b42e-b0d7-11e6-9ffa-ac72891c3257"/> 
    208 <item child="" description="" end="2100.0" items="" label="DAMIP20" nyears="20.0" sliceLen="" start="2081.0" step="" title="DAMIP 20 year" type="simpleRange" uid="5458bb04-b0d7-11e6-9ffa-ac72891c3257"/> 
    209 <item child="" description="" end="2015.0" items="" label="cfOff" nyears="1.0" sliceLen="" start="2015.0" step="" title="Single year for high frequency data" type="simpleRange" uid="5458c1da-b0d7-11e6-9ffa-ac72891c3257"/> 
    210 <item child="historical" description="Period corresponding to specified years in the branched child experiment." end="2014.0" items="" label="piControl100" nyears="100.0" sliceLen="" start="1915.0" step="" title="Years matching last 100 of historical" type="branchedYears" uid="5458c914-b0d7-11e6-9ffa-ac72891c3257"/> 
    211 <item child="" description="" end="" items="" label="VolMIP3" nyears="3.0" sliceLen="" start="" step="0.0" title="Initial 3 years" type="startRange" uid="5458d030-b0d7-11e6-9ffa-ac72891c3257"/> 
    212 <item child="" description="Data from March 1, June 1, September 1, December 1,  from 1850, 1975, 1992  and 2014" end="" items="18500301 18500601 18500901 18501201 19750301 19750601 19750901 19751201 19920301 19920601 19920901 19921201 20140301 20140601 20140901 20141201" label="RFMIP4" nyears="" sliceLen="" start="" step="" title="Selected days in 4 years" type="yearDayList" uid="5458d738-b0d7-11e6-9ffa-ac72891c3257"/> 
    213 <item child="historical" description="Period corresponding to specified years in the branched child experiment." end="2014.0" items="" label="piControl020" nyears="20.0" sliceLen="" start="1995.0" step="" title="Years matching last 20 of historical" type="branchedYears" uid="5458de4a-b0d7-11e6-9ffa-ac72891c3257"/> 
    214 <item child="historical" description="Period corresponding to specified years in the branched child experiment." end="2014.0" items="" label="piControl030" nyears="30.0" sliceLen="" start="1985.0" step="" title="Years matching last 30 of historical" type="branchedYears" uid="5458eb06-b0d7-11e6-9ffa-ac72891c3257"/> 
    215 <item child="historical" description="Period corresponding to specified years in the branched child experiment." end="2014.0" items="" label="piControl050" nyears="50.0" sliceLen="" start="1965.0" step="" title="Years matching last 50 of historical" type="branchedYears" uid="5458f24a-b0d7-11e6-9ffa-ac72891c3257"/> 
    216 <item child="historical" description="Period corresponding to specified years in the branched child experiment." end="2014.0" items="" label="piControl140" nyears="140.0" sliceLen="" start="1875.0" step="" title="Years matching last 140 of historical" type="branchedYears" uid="5458fdd0-b0d7-11e6-9ffa-ac72891c3257"/> 
    217 <item child="historical" description="Period corresponding to specified years in the branched child experiment." end="2014.0" items="" label="piControl165" nyears="165.0" sliceLen="" start="1850.0" step="" title="Years matching historical" type="branchedYears" uid="54590596-b0d7-11e6-9ffa-ac72891c3257"/> 
    218 <item child="historical" description="Period corresponding to specified years in the branched child experiment." end="2049.0" items="" label="piControl200" nyears="200.0" sliceLen="" start="1850.0" step="" title="Years matching historical and 35 years beyond" type="branchedYears" uid="54590cee-b0d7-11e6-9ffa-ac72891c3257"/> 
    219 <item child="" description="" end="2014.0" items="" label="clim20" nyears="20.0" sliceLen="" start="1995.0" step="" title="1995-2014 monthly climatology" type="monthlyClimatology" uid="54591496-b0d7-11e6-9ffa-ac72891c3257"/> 
    220 <item child="" description="" end="2014.0" items="" label="hist65" nyears="65.0" sliceLen="" start="1950.0" step="" title="1950-2014" type="simpleRange" uid="54591c02-b0d7-11e6-9ffa-ac72891c3257"/> 
    221 <item child="" description="" end="2014.0" items="" label="hist55" nyears="55.0" sliceLen="" start="1960.0" step="" title="1960-2014" type="simpleRange" uid="54592300-b0d7-11e6-9ffa-ac72891c3257"/> 
    222 <item child="" description="" end="150.0" items="" label="abrupt30" nyears="30.0" sliceLen="" start="121.0" step="" title="Years 121 to 150 from start" type="simpleRange" uid="54592a26-b0d7-11e6-9ffa-ac72891c3257"/> 
    223 <item child="abrupt4xCO2" description="" end="5.0" items="" label="abrupt5" nyears="5.0" sliceLen="" start="0.0" step="" title="Years 0 to 5 from start" type="simpleRange" uid="5459358e-b0d7-11e6-9ffa-ac72891c3257"/> 
    224 <item child="abrupt4xCO2" description="Period corresponding to specified years in the branched child experiment." end="150.0" items="" label="piControl030a" nyears="30.0" sliceLen="" start="121.0" step="" title="Years matching years 121 to 150 of abrupt4xCO2 run" type="branchedYears" uid="54593cdc-b0d7-11e6-9ffa-ac72891c3257"/> 
     205<item child="" description="" end="2020.0" items="" label="DAMIP42" nyears="42.0" sliceLen="" start="1979.0" step="" title="DAMIP 42 year" type="simpleRange" uid="b8a98680-bc97-11e6-921e-ac72891c3257"/> 
     206<item child="" description="" end="2020.0" items="" label="DAMIP61" nyears="61.0" sliceLen="" start="1960.0" step="" title="DAMIP 61 year" type="simpleRange" uid="b8a98dce-bc97-11e6-921e-ac72891c3257"/> 
     207<item child="" description="" end="2100.0" items="" label="DAMIP40" nyears="40.0" sliceLen="20.0" start="2041.0" step="40.0" title="DAMIP 20 year slices" type="sliceList" uid="b8a9949a-bc97-11e6-921e-ac72891c3257"/> 
     208<item child="" description="" end="2100.0" items="" label="DAMIP20" nyears="20.0" sliceLen="" start="2081.0" step="" title="DAMIP 20 year" type="simpleRange" uid="b8a99b52-bc97-11e6-921e-ac72891c3257"/> 
     209<item child="" description="" end="2015.0" items="" label="cfOff" nyears="1.0" sliceLen="" start="2015.0" step="" title="Single year for high frequency data" type="simpleRange" uid="b8a9a20a-bc97-11e6-921e-ac72891c3257"/> 
     210<item child="historical" description="Period corresponding to specified years in the branched child experiment." end="2014.0" items="" label="piControl100" nyears="100.0" sliceLen="" start="1915.0" step="" title="Years matching last 100 of historical" type="branchedYears" uid="b8a9a8fe-bc97-11e6-921e-ac72891c3257"/> 
     211<item child="" description="" end="" items="" label="VolMIP3" nyears="3.0" sliceLen="" start="" step="0.0" title="Initial 3 years" type="startRange" uid="b8a9affc-bc97-11e6-921e-ac72891c3257"/> 
     212<item child="" description="Data from March 1, June 1, September 1, December 1,  from 1850, 1975, 1992  and 2014" end="" items="18500301 18500601 18500901 18501201 19750301 19750601 19750901 19751201 19920301 19920601 19920901 19921201 20140301 20140601 20140901 20141201" label="RFMIP4" nyears="" sliceLen="" start="" step="" title="Selected days in 4 years" type="yearDayList" uid="b8a9b768-bc97-11e6-921e-ac72891c3257"/> 
     213<item child="historical" description="Period corresponding to specified years in the branched child experiment." end="2014.0" items="" label="piControl020" nyears="20.0" sliceLen="" start="1995.0" step="" title="Years matching last 20 of historical" type="branchedYears" uid="b8a9be8e-bc97-11e6-921e-ac72891c3257"/> 
     214<item child="historical" description="Period corresponding to specified years in the branched child experiment." end="2014.0" items="" label="piControl030" nyears="30.0" sliceLen="" start="1985.0" step="" title="Years matching last 30 of historical" type="branchedYears" uid="b8a9cc76-bc97-11e6-921e-ac72891c3257"/> 
     215<item child="historical" description="Period corresponding to specified years in the branched child experiment." end="2014.0" items="" label="piControl050" nyears="50.0" sliceLen="" start="1965.0" step="" title="Years matching last 50 of historical" type="branchedYears" uid="b8a9d3a6-bc97-11e6-921e-ac72891c3257"/> 
     216<item child="historical" description="Period corresponding to specified years in the branched child experiment." end="2014.0" items="" label="piControl140" nyears="140.0" sliceLen="" start="1875.0" step="" title="Years matching last 140 of historical" type="branchedYears" uid="b8a9daa4-bc97-11e6-921e-ac72891c3257"/> 
     217<item child="historical" description="Period corresponding to specified years in the branched child experiment." end="2014.0" items="" label="piControl165" nyears="165.0" sliceLen="" start="1850.0" step="" title="Years matching historical" type="branchedYears" uid="b8a9e1a2-bc97-11e6-921e-ac72891c3257"/> 
     218<item child="historical" description="Period corresponding to specified years in the branched child experiment." end="2049.0" items="" label="piControl200" nyears="200.0" sliceLen="" start="1850.0" step="" title="Years matching historical and 35 years beyond" type="branchedYears" uid="b8a9e8be-bc97-11e6-921e-ac72891c3257"/> 
     219<item child="" description="" end="2014.0" items="" label="clim20" nyears="20.0" sliceLen="" start="1995.0" step="" title="1995-2014 monthly climatology" type="monthlyClimatology" uid="b8a9f002-bc97-11e6-921e-ac72891c3257"/> 
     220<item child="" description="" end="2014.0" items="" label="hist65" nyears="65.0" sliceLen="" start="1950.0" step="" title="1950-2014" type="simpleRange" uid="b8a9f700-bc97-11e6-921e-ac72891c3257"/> 
     221<item child="" description="" end="2014.0" items="" label="hist55" nyears="55.0" sliceLen="" start="1960.0" step="" title="1960-2014" type="simpleRange" uid="b8a9fdfe-bc97-11e6-921e-ac72891c3257"/> 
     222<item child="" description="" end="2014.0" items="" label="hist20" nyears="20.0" sliceLen="" start="1995.0" step="" title="1995-2014" type="simpleRange" uid="b8aa04e8-bc97-11e6-921e-ac72891c3257"/> 
     223<item child="" description="" end="2014.0" items="" label="hist35" nyears="35.0" sliceLen="" start="1980.0" step="" title="1980-2014" type="simpleRange" uid="b8aa1000-bc97-11e6-921e-ac72891c3257"/> 
     224<item child="" description="" end="150.0" items="" label="abrupt30" nyears="30.0" sliceLen="" start="121.0" step="" title="Years 121 to 150 from start" type="simpleRange" uid="b8aa16ea-bc97-11e6-921e-ac72891c3257"/> 
     225<item child="" description="" end="5.0" items="" label="abrupt5" nyears="5.0" sliceLen="" start="0.0" step="" title="Years 0 to 5 from start" type="simpleRange" uid="b8aa1e10-bc97-11e6-921e-ac72891c3257"/> 
     226<item child="abrupt4xCO2" description="" end="150.0" items="" label="piControl030a" nyears="30.0" sliceLen="" start="121.0" step="" title="Years matching years 121 to 150 of abrupt4xCO2 run" type="simpleRange" uid="b8aa24fa-bc97-11e6-921e-ac72891c3257"/> 
    225227</timeSlice> 
    226228<modelFamily id="cmip.drv.018" label="modelFamily" title="Family of model" uid="SECTION:modelFamily" useClass="vocab"> 
     
    230232<priority id="cmip.drv.019" label="priority" title="Variable priority" uid="SECTION:priority" useClass="vocab"> 
    231233<!-- <info srcType="dummy" srcRef="ptxt.py">Dummy entries</info> --> 
    232 <item description="Modelling centres must commit to supplying all priority 1 variables associated with at least one science question for Tier 1 experiments of any MIP which they participate in;" label="1.0" title="High" uid="5456ca38-b0d7-11e6-9ffa-ac72891c3257"/> 
    233 <item description="Expected to be used in multi-model diagnostics; models not supplying these variables may be omitted from some parts of the inter-comparison;" label="3.0" title="Medium" uid="5456cdda-b0d7-11e6-9ffa-ac72891c3257"/> 
    234 <item description="Experimental -- used for exploring new capabilities and/or unlikely to be used in multi-model diagnostic." label="3.0" title="Low" uid="5456d122-b0d7-11e6-9ffa-ac72891c3257"/> 
     234<item description="Modelling centres must commit to supplying all priority 1 variables associated with at least one science question for Tier 1 experiments of any MIP which they participate in;" label="1.0" title="High" uid="b8a78704-bc97-11e6-921e-ac72891c3257"/> 
     235<item description="Expected to be used in multi-model diagnostics; models not supplying these variables may be omitted from some parts of the inter-comparison;" label="3.0" title="Medium" uid="b8a78d1c-bc97-11e6-921e-ac72891c3257"/> 
     236<item description="Experimental -- used for exploring new capabilities and/or unlikely to be used in multi-model diagnostic." label="3.0" title="Low" uid="b8a7933e-bc97-11e6-921e-ac72891c3257"/> 
    235237</priority> 
    236238<qcLevel id="cmip.drv.020" label="qcLevel" title="Quality control level" uid="SECTION:qcLevel" useClass="vocab"> 
     
    244246<glossary id="cmip.drv.022" label="glossary" title="Glossary" uid="SECTION:glossary" useClass="vocab"> 
    245247<!-- <info srcType="dummy" srcRef="ptxt.py">Dummy entries</info> --> 
    246 <item description="" fullName="Coupled Model Intercomparison Project" label="cmip" title="CMIP" uid="5455ee7e-b0d7-11e6-9ffa-ac72891c3257" url=""/> 
    247 <item description="World Climate Research Programme (WCRP) Working Group on Coupled Modeling" fullName="Working Group on Coupled Models" label="wgcm" title="WGCM" uid="5455f392-b0d7-11e6-9ffa-ac72891c3257" url="http://www.wcrp-climate.org/wgcm/"/> 
    248 <item description="" fullName="" label="wcrp" title="WCRP" uid="5455f856-b0d7-11e6-9ffa-ac72891c3257" url=""/> 
    249 <item description="Full specifications of vocabularies used for formatting, archiving and dsitribution of CMIP data" fullName="Data Reference Vocabularies" label="drvocabs" title="DRVoc" uid="5455fcfc-b0d7-11e6-9ffa-ac72891c3257" url="https://drive.google.com/drive/folders/0B6AWgiTrQ0xFQ0t2RjYtWW1jaFk"/> 
     248<item description="" fullName="Coupled Model Intercomparison Project" label="cmip" title="CMIP" uid="b8a6a3d4-bc97-11e6-921e-ac72891c3257" url=""/> 
     249<item description="World Climate Research Programme (WCRP) Working Group on Coupled Modeling" fullName="Working Group on Coupled Models" label="wgcm" title="WGCM" uid="b8a6a8d4-bc97-11e6-921e-ac72891c3257" url="http://www.wcrp-climate.org/wgcm/"/> 
     250<item description="" fullName="" label="wcrp" title="WCRP" uid="b8a6aed8-bc97-11e6-921e-ac72891c3257" url=""/> 
     251<item description="Full specifications of vocabularies used for formatting, archiving and dsitribution of CMIP data" fullName="Data Reference Vocabularies" label="drvocabs" title="DRVoc" uid="b8a6b37e-bc97-11e6-921e-ac72891c3257" url="https://drive.google.com/drive/folders/0B6AWgiTrQ0xFQ0t2RjYtWW1jaFk"/> 
    250252</glossary> 
    251253<modelCompType id="cmip.drv.023" label="modelCompType" title="Model Component Types/Categories [redundant with *Native Grid*]" uid="SECTION:modelCompType" useClass="vocab"> 
     
    255257<modelType id="cmip.drv.024" label="modelType" title="Class of model" uid="SECTION:modelType" useClass="vocab"> 
    256258<!-- <info srcType="dummy" srcRef="ptxt.py">Dummy entries</info> --> 
    257 <item label="AGCM" title="Atmosphere only GCM" uid="5457a4a8-b0d7-11e6-9ffa-ac72891c3257"/> 
    258 <item label="AOGCM" title="Coupled atmosphere-ocean model" uid="5457a85e-b0d7-11e6-9ffa-ac72891c3257"/> 
    259 <item label="ESM" title="Earth System Model" uid="5457abba-b0d7-11e6-9ffa-ac72891c3257"/> 
    260 <item label="RCM" title="Regional Climate Model" uid="5457af8e-b0d7-11e6-9ffa-ac72891c3257"/> 
    261 <item label="OGCM" title="Ocean General Circulation Model" uid="5457b2fe-b0d7-11e6-9ffa-ac72891c3257"/> 
    262 <item label="ICESH" title="Ice sheet model" uid="5457b66e-b0d7-11e6-9ffa-ac72891c3257"/> 
    263 <item label="LU" title="Land use model" uid="5457b9de-b0d7-11e6-9ffa-ac72891c3257"/> 
     259<item label="AGCM" title="Atmosphere only GCM" uid="b8a87d80-bc97-11e6-921e-ac72891c3257"/> 
     260<item label="AOGCM" title="Coupled atmosphere-ocean model" uid="b8a882b2-bc97-11e6-921e-ac72891c3257"/> 
     261<item label="ESM" title="Earth System Model" uid="b8a88622-bc97-11e6-921e-ac72891c3257"/> 
     262<item label="RCM" title="Regional Climate Model" uid="b8a8897e-bc97-11e6-921e-ac72891c3257"/> 
     263<item label="OGCM" title="Ocean General Circulation Model" uid="b8a88cd0-bc97-11e6-921e-ac72891c3257"/> 
     264<item label="ICESH" title="Ice sheet model" uid="b8a8902c-bc97-11e6-921e-ac72891c3257"/> 
     265<item label="LU" title="Land use model" uid="b8a8936a-bc97-11e6-921e-ac72891c3257"/> 
    264266</modelType> 
    265267<index id="cmip.drv.025" label="index" title="Index of vocabularies" uid="SECTION:index" useClass="vocab"> 
    266268<!-- <info srcType="dummy" srcRef="ptxt.py">Dummy entries</info> --> 
    267 <item description="This table defines the quantities used to specify CMOR dimensions. Further information is in the CMOR documentation." label="cmorDimAttr" title="Attributes of CMOR dimensions" uid="54545e9c-b0d7-11e6-9ffa-ac72891c3257"/> 
     269<item description="This table defines the quantities used to specify CMOR dimensions. Further information is in the CMOR documentation." label="cmorDimAttr" title="Attributes of CMOR dimensions" uid="b8a5043e-bc97-11e6-921e-ac72891c3257"/> 
    268270</index> 
    269271<cmorDimAttr id="cmip.drv.026" label="cmorDimAttr" title="CMOR Dimension Attributes" uid="SECTION:cmorDimAttr" useClass="vocab"> 
    270272<!-- <info srcType="dummy" srcRef="ptxt.py">Dummy entries</info> --> 
    271 <item CMORattr="" description="A list of CMOR tables in which this dimension is used." label="tables" title="Tables using this dimension" uid="54581320-b0d7-11e6-9ffa-ac72891c3257"/> 
    272 <item CMORattr="" description="Name used by CMOR -- unique within one set of tables" label="CmorName" title="CMOR name" uid="54581780-b0d7-11e6-9ffa-ac72891c3257"/> 
    273 <item CMORattr="" description="Name used for variable and dimension in netcdf files" label="name" title="Name in file" uid="545820d6-b0d7-11e6-9ffa-ac72891c3257"/> 
    274 <item CMORattr="" description="Value copied into NetCDF attribute 'long_name' of dimension variable" label="longname" title="Long name" uid="54582586-b0d7-11e6-9ffa-ac72891c3257"/> 
    275 <item CMORattr="" description="For spatial or temporal dimensions -- should take the value X, Y, Z or T. Otherwise blank. Value copied into NetCDF attribute of dimension variable" label="axis" title="NetCDF axis attribute" uid="54582a22-b0d7-11e6-9ffa-ac72891c3257"/> 
    276 <item CMORattr="" description="Value copied into NetCDF attribute of dimension variable" label="units" title="Units" uid="54582e64-b0d7-11e6-9ffa-ac72891c3257"/> 
    277 <item CMORattr="" description="Set &quot;ok&quot; if the axis is an index (no netcdf variable will be created)." label="index" title="Is this an index dimension?" uid="54583346-b0d7-11e6-9ffa-ac72891c3257"/> 
    278 <item CMORattr="coords_attrib" description="Used as variable name for coordinate values when these cannot be held in the axis variable (e.g. when the coordinate values are words)." label="coords" title="NetCDF coords attribute" uid="54583760-b0d7-11e6-9ffa-ac72891c3257"/> 
    279 <item CMORattr="must_have_bounds" description="'Yes' or 'No', to indicate whether a bounds variable is needed." label="bounds" title="Are bounds required?" uid="54583ba2-b0d7-11e6-9ffa-ac72891c3257"/> 
    280 <item CMORattr="stored_direction" description="Set to 'increasing' or 'decreasing'. " label="direction" title="Order of values in axis variable" uid="54583fb2-b0d7-11e6-9ffa-ac72891c3257"/> 
    281 <item CMORattr="" description="" label="validMin" title="" uid="545843d6-b0d7-11e6-9ffa-ac72891c3257"/> 
    282 <item CMORattr="" description="" label="validMax" title="" uid="545847dc-b0d7-11e6-9ffa-ac72891c3257"/> 
    283 <item CMORattr="" description="Type (e.g. 'double', 'character', 'integer')" label="type" title="Type of axis values" uid="54584c50-b0d7-11e6-9ffa-ac72891c3257"/> 
    284 <item CMORattr="" description="This attribute is used for vertical coordinates, indicates whether the dimension increases upwards or downwards (valid values are 'up', 'down', or blank)" label="positive" title="NetCDF positive attribute" uid="545850a6-b0d7-11e6-9ffa-ac72891c3257"/> 
    285 <item CMORattr="" description="For array dimensions see 'requested'" label="value" title="Value of singleton dimension" uid="545854b6-b0d7-11e6-9ffa-ac72891c3257"/> 
    286 <item CMORattr="" description="For array dimensions see 'boundsreq'" label="bounds_values" title="Bounds of a singleton dimension" uid="545858e4-b0d7-11e6-9ffa-ac72891c3257"/> 
    287 <item CMORattr="" description="For singleton dimensions see 'value'" label="requested" title="Values of array dimensions" uid="54585cea-b0d7-11e6-9ffa-ac72891c3257"/> 
    288 <item CMORattr="" description="For singleton dimensions see 'bounds_value'" label="boundsreq" title="Bounds Requested" uid="545860fa-b0d7-11e6-9ffa-ac72891c3257"/> 
    289 <item CMORattr="" description="Variance from requested values that is tolerated" label="tolerance" title="Tolerance on requested values" uid="54586514-b0d7-11e6-9ffa-ac72891c3257"/> 
    290 <item CMORattr="must_call_cmor_grid" description="" label="grid" title="Is this a grid" uid="5458692e-b0d7-11e6-9ffa-ac72891c3257"/> 
    291 <item CMORattr="" description="Value copied into NetCDF attribute of dimension variable" label="formula" title="NetCDF formula_terms attribute" uid="54586d48-b0d7-11e6-9ffa-ac72891c3257"/> 
    292 <item CMORattr="" description="Value copied into NetCDF attribute of dimension variable" label="z_factors" title="NetCDF z_factors attribute" uid="54587158-b0d7-11e6-9ffa-ac72891c3257"/> 
    293 <item CMORattr="" description="Value copied into NetCDF attribute of dimension variable" label="z_bounds_factors" title="NetCDF z_bounds_factors" uid="545879c8-b0d7-11e6-9ffa-ac72891c3257"/> 
     273<item CMORattr="" description="A list of CMOR tables in which this dimension is used." label="tables" title="Tables using this dimension" uid="b8a8f10c-bc97-11e6-921e-ac72891c3257"/> 
     274<item CMORattr="" description="Name used by CMOR -- unique within one set of tables" label="CmorName" title="CMOR name" uid="b8a8f5c6-bc97-11e6-921e-ac72891c3257"/> 
     275<item CMORattr="" description="Name used for variable and dimension in netcdf files" label="name" title="Name in file" uid="b8a8ff80-bc97-11e6-921e-ac72891c3257"/> 
     276<item CMORattr="" description="Value copied into NetCDF attribute 'long_name' of dimension variable" label="longname" title="Long name" uid="b8a903c2-bc97-11e6-921e-ac72891c3257"/> 
     277<item CMORattr="" description="For spatial or temporal dimensions -- should take the value X, Y, Z or T. Otherwise blank. Value copied into NetCDF attribute of dimension variable" label="axis" title="NetCDF axis attribute" uid="b8a907fa-bc97-11e6-921e-ac72891c3257"/> 
     278<item CMORattr="" description="Value copied into NetCDF attribute of dimension variable" label="units" title="Units" uid="b8a90c3c-bc97-11e6-921e-ac72891c3257"/> 
     279<item CMORattr="" description="Set &quot;ok&quot; if the axis is an index (no netcdf variable will be created)." label="index" title="Is this an index dimension?" uid="b8a9104c-bc97-11e6-921e-ac72891c3257"/> 
     280<item CMORattr="coords_attrib" description="Used as variable name for coordinate values when these cannot be held in the axis variable (e.g. when the coordinate values are words)." label="coords" title="NetCDF coords attribute" uid="b8a9145c-bc97-11e6-921e-ac72891c3257"/> 
     281<item CMORattr="must_have_bounds" description="'Yes' or 'No', to indicate whether a bounds variable is needed." label="bounds" title="Are bounds required?" uid="b8a9188a-bc97-11e6-921e-ac72891c3257"/> 
     282<item CMORattr="stored_direction" description="Set to 'increasing' or 'decreasing'. " label="direction" title="Order of values in axis variable" uid="b8a91cf4-bc97-11e6-921e-ac72891c3257"/> 
     283<item CMORattr="" description="" label="validMin" title="" uid="b8a92118-bc97-11e6-921e-ac72891c3257"/> 
     284<item CMORattr="" description="" label="validMax" title="" uid="b8a9250a-bc97-11e6-921e-ac72891c3257"/> 
     285<item CMORattr="" description="Type (e.g. 'double', 'character', 'integer')" label="type" title="Type of axis values" uid="b8a9291a-bc97-11e6-921e-ac72891c3257"/> 
     286<item CMORattr="" description="This attribute is used for vertical coordinates, indicates whether the dimension increases upwards or downwards (valid values are 'up', 'down', or blank)" label="positive" title="NetCDF positive attribute" uid="b8a92d52-bc97-11e6-921e-ac72891c3257"/> 
     287<item CMORattr="" description="For array dimensions see 'requested'" label="value" title="Value of singleton dimension" uid="b8a93158-bc97-11e6-921e-ac72891c3257"/> 
     288<item CMORattr="" description="For array dimensions see 'boundsreq'" label="bounds_values" title="Bounds of a singleton dimension" uid="b8a93590-bc97-11e6-921e-ac72891c3257"/> 
     289<item CMORattr="" description="For singleton dimensions see 'value'" label="requested" title="Values of array dimensions" uid="b8a9398c-bc97-11e6-921e-ac72891c3257"/> 
     290<item CMORattr="" description="For singleton dimensions see 'bounds_value'" label="boundsreq" title="Bounds Requested" uid="b8a93d7e-bc97-11e6-921e-ac72891c3257"/> 
     291<item CMORattr="" description="Variance from requested values that is tolerated" label="tolerance" title="Tolerance on requested values" uid="b8a94198-bc97-11e6-921e-ac72891c3257"/> 
     292<item CMORattr="must_call_cmor_grid" description="" label="grid" title="Is this a grid" uid="b8a94594-bc97-11e6-921e-ac72891c3257"/> 
     293<item CMORattr="" description="Value copied into NetCDF attribute of dimension variable" label="formula" title="NetCDF formula_terms attribute" uid="b8a949ae-bc97-11e6-921e-ac72891c3257"/> 
     294<item CMORattr="" description="Value copied into NetCDF attribute of dimension variable" label="z_factors" title="NetCDF z_factors attribute" uid="b8a94daa-bc97-11e6-921e-ac72891c3257"/> 
     295<item CMORattr="" description="Value copied into NetCDF attribute of dimension variable" label="z_bounds_factors" title="NetCDF z_bounds_factors" uid="b8a955e8-bc97-11e6-921e-ac72891c3257"/> 
    294296</cmorDimAttr> 
    295297<processingOptions id="cmip.drv.027" label="processingOptions" title="Processing steps required" uid="SECTION:processingOptions" useClass="vocab"> 
    296298<!-- <info srcType="dummy" srcRef="ptxt.py">Dummy entries</info> --> 
    297 <item description="" label="TM" title="time mean" uid="5456146c-b0d7-11e6-9ffa-ac72891c3257"/> 
    298 <item description="The weighted time mean is important when a time varying mask is used (e.g. sea ice)" label="WM" title="weighted time mean" uid="545618ae-b0d7-11e6-9ffa-ac72891c3257"/> 
    299 <item description="" label="VCI" title="vertical coordinate interpolation" uid="54561cb4-b0d7-11e6-9ffa-ac72891c3257"/> 
    300 <item description="" label="MSK" title="masking" uid="54562092-b0d7-11e6-9ffa-ac72891c3257"/> 
    301 <item description="" label="NS" title="near surface (atmosphere)" uid="5456245c-b0d7-11e6-9ffa-ac72891c3257"/> 
    302 <item description="" label="SPI" title="spatial interpolation" uid="5456283a-b0d7-11e6-9ffa-ac72891c3257"/> 
    303 <item description="" label="SM" title="spectral mean" uid="54562c04-b0d7-11e6-9ffa-ac72891c3257"/> 
    304 <item description="" label="CL" title="climatology " uid="54562fce-b0d7-11e6-9ffa-ac72891c3257"/> 
    305 <item description="" label="STAT" title="temporal statistics" uid="545633a2-b0d7-11e6-9ffa-ac72891c3257"/> 
    306 <item description="specialised definition of variable which is more tightly constrained than the CF standard name; variables marked with this will need special attention." label="SD" title="specialised definition" uid="54563762-b0d7-11e6-9ffa-ac72891c3257"/> 
    307 <item description="" label="zm" title="Zonal mean" uid="54563b2c-b0d7-11e6-9ffa-ac72891c3257"/> 
    308 <item description="Radiation fields should be computed with atmospheric CO2 concentrations multiplied by  a factor 4." label="4co2" title="Radiation fields with quadrupled CO2" uid="54563eec-b0d7-11e6-9ffa-ac72891c3257"/> 
    309 <item description="Gravity wave diagnostics" label="gw" title="Gravity wave diagnostics" uid="545648b0-b0d7-11e6-9ffa-ac72891c3257"/> 
    310 <item description="Variables which are restricted to sea-ice." label="si" title="Sea ice" uid="54564cc0-b0d7-11e6-9ffa-ac72891c3257"/> 
    311 <item description="Only required for emission driven runs" label="emOnly" title="Only Emission Driven" uid="545650a8-b0d7-11e6-9ffa-ac72891c3257"/> 
     299<item description="" label="TM" title="time mean" uid="b8a6c86e-bc97-11e6-921e-ac72891c3257"/> 
     300<item description="The weighted time mean is important when a time varying mask is used (e.g. sea ice)" label="WM" title="weighted time mean" uid="b8a6cc9c-bc97-11e6-921e-ac72891c3257"/> 
     301<item description="" label="VCI" title="vertical coordinate interpolation" uid="b8a6d07a-bc97-11e6-921e-ac72891c3257"/> 
     302<item description="" label="MSK" title="masking" uid="b8a6d444-bc97-11e6-921e-ac72891c3257"/> 
     303<item description="" label="NS" title="near surface (atmosphere)" uid="b8a6d7fa-bc97-11e6-921e-ac72891c3257"/> 
     304<item description="" label="SPI" title="spatial interpolation" uid="b8a6dbce-bc97-11e6-921e-ac72891c3257"/> 
     305<item description="" label="SM" title="spectral mean" uid="b8a6df7a-bc97-11e6-921e-ac72891c3257"/> 
     306<item description="" label="CL" title="climatology " uid="b8a6e326-bc97-11e6-921e-ac72891c3257"/> 
     307<item description="" label="STAT" title="temporal statistics" uid="b8a6e6dc-bc97-11e6-921e-ac72891c3257"/> 
     308<item description="specialised definition of variable which is more tightly constrained than the CF standard name; variables marked with this will need special attention." label="SD" title="specialised definition" uid="b8a6ea7e-bc97-11e6-921e-ac72891c3257"/> 
     309<item description="" label="zm" title="Zonal mean" uid="b8a6ee34-bc97-11e6-921e-ac72891c3257"/> 
     310<item description="Radiation fields should be computed with atmospheric CO2 concentrations multiplied by  a factor 4." label="4co2" title="Radiation fields with quadrupled CO2" uid="b8a6f1ea-bc97-11e6-921e-ac72891c3257"/> 
     311<item description="Gravity wave diagnostics" label="gw" title="Gravity wave diagnostics" uid="b8a6fb7c-bc97-11e6-921e-ac72891c3257"/> 
     312<item description="Variables which are restricted to sea-ice." label="si" title="Sea ice" uid="b8a6ff8c-bc97-11e6-921e-ac72891c3257"/> 
     313<item description="Only required for emission driven runs" label="emOnly" title="Only Emission Driven" uid="b8a7037e-bc97-11e6-921e-ac72891c3257"/> 
    312314</processingOptions> 
    313315<coordinateReference id="cmip.drv.028" label="coordinateReference" title="Processing steps required" uid="SECTION:coordinateReference" useClass="vocab"> 
    314316<!-- <info srcType="dummy" srcRef="ptxt.py">Dummy entries</info> --> 
    315 <item label="Sphere" ogc_wkt="GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.01745329251994328,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]]" title="Spherical coordinate reference (WGS 84)" uid="5454ba90-b0d7-11e6-9ffa-ac72891c3257" url="http://spatialreference.org/ref/epsg/wgs-84/"/> 
     317<item label="Sphere" ogc_wkt="GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.01745329251994328,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]]" title="Spherical coordinate reference (WGS 84)" uid="b8a57022-bc97-11e6-921e-ac72891c3257" url="http://spatialreference.org/ref/epsg/wgs-84/"/> 
    316318</coordinateReference> 
    317319<modelConfig id="cmip.drv.029" label="modelConfig" title="Model configuration options" uid="SECTION:modelConfig" useClass="vocab"> 
    318320<!-- <info srcType="dummy" srcRef="ptxt.py">Dummy entries</info> --> 
    319 <item MIPs="LUMIP" label="TiledLandUseModel" range="xs:boolean" title="Sub-grid land use reporting" type="capability" uid="54566d0e-b0d7-11e6-9ffa-ac72891c3257" usage="Used on LUMIP to indicate variables only needed from models which have the capability to report on land use tiles."/> 
    320 <item MIPs="C4MIP" label="InteractiveChemistry" range="xs:boolean" title="Interactive chemistry schemes" type="capability" uid="5456729a-b0d7-11e6-9ffa-ac72891c3257" usage="Different experiment specifications in C4MIP for models with and without interactive chemistry"/> 
    321 <item MIPs="ISMIP6" label="DynamicIceSheet" range="xs:boolean" title="Evolving ice sheets." type="capability" uid="54567812-b0d7-11e6-9ffa-ac72891c3257" usage=""/> 
    322 <item MIPs="ISMIP6" label="OfflineIceSheetModel" range="xs:boolean" title="Offline ice sheet model (run with prescribed atmosphere and ocean boundary conditions)" type="category" uid="54567d1c-b0d7-11e6-9ffa-ac72891c3257" usage=""/> 
    323 <item MIPs="LUMIP" label="OfflineLandUseModel" range="xs:boolean" title="Offline ice sheet model (run with prescribed atmosphere boundary conditions)" type="category" uid="54568208-b0d7-11e6-9ffa-ac72891c3257" usage=""/> 
    324 <item MIPs="OMIP" label="BoussinesqOcean" range="xs:boolean" title="Boussinesq Ocean (with constant reference density)" type="capability" uid="54568708-b0d7-11e6-9ffa-ac72891c3257" usage="The &quot;rhozero&quot; field is only required for Boussinesq models. 
     321<item MIPs="LUMIP" label="TiledLandUseModel" range="xs:boolean" title="Sub-grid land use reporting" type="capability" uid="b8a71cd8-bc97-11e6-921e-ac72891c3257" usage="Used on LUMIP to indicate variables only needed from models which have the capability to report on land use tiles."/> 
     322<item MIPs="C4MIP" label="InteractiveChemistry" range="xs:boolean" title="Interactive chemistry schemes" type="capability" uid="b8a72228-bc97-11e6-921e-ac72891c3257" usage="Different experiment specifications in C4MIP for models with and without interactive chemistry"/> 
     323<item MIPs="ISMIP6" label="DynamicIceSheet" range="xs:boolean" title="Evolving ice sheets." type="capability" uid="b8a72700-bc97-11e6-921e-ac72891c3257" usage=""/> 
     324<item MIPs="ISMIP6" label="OfflineIceSheetModel" range="xs:boolean" title="Offline ice sheet model (run with prescribed atmosphere and ocean boundary conditions)" type="category" uid="b8a72be2-bc97-11e6-921e-ac72891c3257" usage=""/> 
     325<item MIPs="LUMIP" label="OfflineLandUseModel" range="xs:boolean" title="Offline ice sheet model (run with prescribed atmosphere boundary conditions)" type="category" uid="b8a730c4-bc97-11e6-921e-ac72891c3257" usage=""/> 
     326<item MIPs="OMIP" label="BoussinesqOcean" range="xs:boolean" title="Boussinesq Ocean (with constant reference density)" type="capability" uid="b8a73592-bc97-11e6-921e-ac72891c3257" usage="The &quot;rhozero&quot; field is only required for Boussinesq models. 
    325327"/> 
    326 <item MIPs="OMIP" label="BoussinesqOceanConstantTh" range="xs:boolean" title="Boussinesq Ocean With Constant Cell Thickness" type="capability" uid="54568bf4-b0d7-11e6-9ffa-ac72891c3257" usage="The ocean grid cell mass (masscello) can be supplied as a fixed field for Boussinesq models if the grid cell thickness is constant in time. Otherwise, this variable is required at monthly frequency."/> 
    327 <item MIPs="" label="HydrostaticAtmosphere" range="xs:boolean" title="Hydrostatic Atmosphere (pressure determined by weight of air column alone)" type="capability" uid="545690f4-b0d7-11e6-9ffa-ac72891c3257" usage=""/> 
    328 <item MIPs="CFMIP" label="CospEnabled" range="xs:boolean" title="The CFMIP Observation Simulation Package (COSP)" type="capability" uid="545695c2-b0d7-11e6-9ffa-ac72891c3257" usage=""/> 
    329 <item MIPs="HighResMIP" label="usePlev27" range="xs:boolean" title="Use 27 pressure levels rather than model levels were option exists." type="ioOption" uid="54569acc-b0d7-11e6-9ffa-ac72891c3257" usage="A range of variables in the HighResMIP have the option of being delivered either on model levels or 27 pressure levels."/> 
    330 <item MIPs="" label="horizontalOceanMeshSize" range="xs:integer" title="Horizontal Ocean Mesh Size" type="size" uid="54569f9a-b0d7-11e6-9ffa-ac72891c3257" usage="Used in volume estimates"/> 
    331 <item MIPs="" label="horizontalAmosphereMeshSize" range="xs:integer" title="Horizontal Amosphere Mesh Size" type="size" uid="5456a472-b0d7-11e6-9ffa-ac72891c3257" usage="Used in volume estimates"/> 
    332 <item MIPs="" label="verticalOceanLevelCount" range="xs:integer" title="Vertical Ocean Level Count" type="size" uid="5456a9ea-b0d7-11e6-9ffa-ac72891c3257" usage="Used in volume estimates"/> 
    333 <item MIPs="" label="verticalAtmosphereLevelCount" range="xs:integer" title="Vertical Atmosphere Level Count" type="size" uid="5456b390-b0d7-11e6-9ffa-ac72891c3257" usage="Used in volume estimates"/> 
    334 <item MIPs="" label="horizontalSoilMeshSize" range="xs:integer" title="Horizontal Soil Mesh Size" type="size" uid="5456b8cc-b0d7-11e6-9ffa-ac72891c3257" usage="Used in volume estimates"/> 
    335 <item MIPs="" label="verticalSoilLevelCount" range="xs:integer" title="Vertical Soil Level Count" type="size" uid="5456bdae-b0d7-11e6-9ffa-ac72891c3257" usage="Used in volume estimates"/> 
     328<item MIPs="OMIP" label="BoussinesqOceanConstantTh" range="xs:boolean" title="Boussinesq Ocean With Constant Cell Thickness" type="capability" uid="b8a73a56-bc97-11e6-921e-ac72891c3257" usage="The ocean grid cell mass (masscello) can be supplied as a fixed field for Boussinesq models if the grid cell thickness is constant in time. Otherwise, this variable is required at monthly frequency."/> 
     329<item MIPs="" label="HydrostaticAtmosphere" range="xs:boolean" title="Hydrostatic Atmosphere (pressure determined by weight of air column alone)" type="capability" uid="b8a73f2e-bc97-11e6-921e-ac72891c3257" usage=""/> 
     330<item MIPs="CFMIP" label="CospEnabled" range="xs:boolean" title="The CFMIP Observation Simulation Package (COSP)" type="capability" uid="b8a743de-bc97-11e6-921e-ac72891c3257" usage=""/> 
     331<item MIPs="HighResMIP" label="usePlev27" range="xs:boolean" title="Use 27 pressure levels rather than model levels were option exists." type="ioOption" uid="b8a74924-bc97-11e6-921e-ac72891c3257" usage="A range of variables in the HighResMIP have the option of being delivered either on model levels or 27 pressure levels."/> 
     332<item MIPs="" label="horizontalOceanMeshSize" range="xs:integer" title="Horizontal Ocean Mesh Size" type="size" uid="b8a74e60-bc97-11e6-921e-ac72891c3257" usage="Used in volume estimates"/> 
     333<item MIPs="" label="horizontalAmosphereMeshSize" range="xs:integer" title="Horizontal Amosphere Mesh Size" type="size" uid="b8a753e2-bc97-11e6-921e-ac72891c3257" usage="Used in volume estimates"/> 
     334<item MIPs="" label="verticalOceanLevelCount" range="xs:integer" title="Vertical Ocean Level Count" type="size" uid="b8a75946-bc97-11e6-921e-ac72891c3257" usage="Used in volume estimates"/> 
     335<item MIPs="" label="verticalAtmosphereLevelCount" range="xs:integer" title="Vertical Atmosphere Level Count" type="size" uid="b8a7665c-bc97-11e6-921e-ac72891c3257" usage="Used in volume estimates"/> 
     336<item MIPs="" label="horizontalSoilMeshSize" range="xs:integer" title="Horizontal Soil Mesh Size" type="size" uid="b8a76e86-bc97-11e6-921e-ac72891c3257" usage="Used in volume estimates"/> 
     337<item MIPs="" label="verticalSoilLevelCount" range="xs:integer" title="Vertical Soil Level Count" type="size" uid="b8a775fc-bc97-11e6-921e-ac72891c3257" usage="Used in volume estimates"/> 
    336338</modelConfig> 
    337339</main> 
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