Make A Graph

Dataset Title:	HadGEM3-GC31-MM model output prepared for CMIP6
Institution:	Met Office Hadley Centre, Fitzroy Road, Exeter, Devon, EX1 3PB, UK (Dataset ID: HadGEM3_GC31_MM)
Information:	Summary \| License \| FGDC \| ISO 19115 \| Metadata \| Background \| Data Access Form

To work correctly, this web page requires that JavaScript be enabled in your browser. Please:
1) Enable JavaScript in your browser:
      • Chrome: "Settings : Advanced : Privacy and security : Site Settings : JavaScript"
      • Firefox: (it should be always on!)"
      • Opera: "Settings : Websites : JavaScript"
      • Safari: "Safari : Preferences : Security : Enable JavaScript"
2) Reload this web page.

Graph Type:
X Axis:
Y Axis:
Color:

Dimensions

Start

Stop

time (UTC)

specify just 1 value →

latitude (degrees_north)

longitude (degrees_east)

Graph Settings
Color Bar:	Continuity:	Scale:
Minimum:	Maximum:	N Sections:
Draw land mask:
Y Axis Minimum:	Maximum:

(Please be patient. It may take a while to get the data.)

Optional:
Then set the File Type: (File Type information)
and

or view the URL:
(Documentation / Bypass this form

)

Click on the map to specify a new center point.

Zoom:

[The graph you specified. Please be patient.]

Things You Can Do With Your Graphs

Well, you can do anything you want with your graphs, of course. But some things you might not have considered are:

Web page authors can embed a graph of the latest data in a web page using HTML <img> tags.
Anyone can use ERDDAPs Slide Sorter to build a personal web page that displays graphs with the latest data (or other images or HTML content), each in its own, draggable slide.

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range -6.29856e+8, 1.389312e+9;
    String axis "T";
    String calendar "360_day";
    String ioos_category "Time";
    String long_name "Time";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 actual_range -89.72222137451172, 89.72223663330078;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 actual_range 0.4166666567325592, 359.58331298828125;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  clt {
    Float32 _FillValue NaN;
    String cell_measures "area: areacella";
    String cell_methods "area: time: mean";
    Float64 colorBarMaximum 100.0;
    Float64 colorBarMinimum 0.0;
    String comment "Total cloud area fraction for the whole atmospheric column, as seen from the surface or the top of the atmosphere. Includes both large-scale and convective cloud.";
    String history "2017-09-19T03:56:55Z altered by CMOR: Converted units from '1' to '%'. 2017-09-19T03:56:55Z altered by CMOR: replaced missing value flag (-1.07374e+09) with standard missing value (1e+20).";
    String ioos_category "Meteorology";
    String long_name "Total Cloud Fraction";
    Float32 missing_value NaN;
    String original_name "mo: (stash: m01s02i204, lbproc: 128)";
    String standard_name "cloud_area_fraction";
    String units "percent";
  }
  hfss {
    Float32 _FillValue NaN;
    String cell_measures "area: areacella";
    String cell_methods "area: time: mean";
    Float64 colorBarMaximum 250.0;
    Float64 colorBarMinimum -250.0;
    String history "2019-09-16T18:54:23Z altered by CMOR: replaced missing value flag (-1.07374e+09) with standard missing value (1e+20).";
    String ioos_category "Heat Flux";
    String long_name "Surface Upward Sensible Heat Flux";
    Float32 missing_value NaN;
    String original_name "mo: (stash: m01s03i217, lbproc: 128)";
    String standard_name "surface_upward_sensible_heat_flux";
    String units "W m-2";
  }
  hfls {
    Float32 _FillValue NaN;
    String cell_measures "area: areacella";
    String cell_methods "area: time: mean";
    Float64 colorBarMaximum 250.0;
    Float64 colorBarMinimum -250.0;
    String history "2017-09-21T04:22:11Z altered by CMOR: replaced missing value flag (-1.07374e+09) with standard missing value (1e+20).";
    String ioos_category "Heat Flux";
    String long_name "Surface Upward Latent Heat Flux";
    Float32 missing_value NaN;
    String original_name "mo: (stash: m01s03i234, lbproc: 128)";
    String standard_name "surface_upward_latent_heat_flux";
    String units "W m-2";
  }
  pr {
    Float32 _FillValue NaN;
    String cell_measures "area: areacella";
    String cell_methods "area: time: mean";
    Float64 colorBarMaximum 1.0e-4;
    Float64 colorBarMinimum 0.0;
    String comment "includes both liquid and solid phases";
    String history "2019-10-19T06:47:03Z altered by CMOR: replaced missing value flag (-1.07374e+09) with standard missing value (1e+20).";
    String ioos_category "Meteorology";
    String long_name "Precipitation";
    Float32 missing_value NaN;
    String original_name "mo: (stash: m01s05i216, lbproc: 128)";
    String standard_name "precipitation_flux";
    String units "kg m-2 s-1";
  }
  prw {
    Float32 _FillValue NaN;
    String cell_measures "area: areacella";
    String cell_methods "area: time: mean";
    Float64 colorBarMaximum 200.0;
    Float64 colorBarMinimum 0.0;
    String comment "vertically integrated through the atmospheric column";
    String history "2017-09-18T23:07:04Z altered by CMOR: replaced missing value flag (-1.07374e+09) with standard missing value (1e+20).";
    String ioos_category "Meteorology";
    String long_name "Water Vapor Path";
    Float32 missing_value NaN;
    String original_name "mo: (stash: m01s30i461, lbproc: 128)";
    String standard_name "atmosphere_water_vapor_content";
    String units "kg m-2";
  }
  ps {
    Float32 _FillValue NaN;
    String cell_measures "area: areacella";
    String cell_methods "area: time: mean";
    Float64 colorBarMaximum 105000.0;
    Float64 colorBarMinimum 95000.0;
    String comment "surface pressure (not mean sea-level pressure), 2-D field to calculate the 3-D pressure field from hybrid coordinates";
    String history "2019-09-16T19:37:06Z altered by CMOR: replaced missing value flag (-1.07374e+09) with standard missing value (1e+20).";
    String ioos_category "Pressure";
    String long_name "Surface Air Pressure";
    Float32 missing_value NaN;
    String original_name "mo: (stash: m01s00i409, lbproc: 128)";
    String standard_name "surface_air_pressure";
    String units "Pa";
  }
  psl {
    Float32 _FillValue NaN;
    String cell_measures "area: areacella";
    String cell_methods "area: time: mean";
    Float64 colorBarMaximum 105000.0;
    Float64 colorBarMinimum 95000.0;
    String comment "Sea Level Pressure";
    String history "2019-10-20T08:46:59Z altered by CMOR: replaced missing value flag (-1.07374e+09) with standard missing value (1e+20).";
    String ioos_category "Pressure";
    String long_name "Sea Level Pressure";
    Float32 missing_value NaN;
    String original_name "mo: (stash: m01s16i222, lbproc: 128)";
    String standard_name "air_pressure_at_sea_level";
    String units "Pa";
  }
  rlds {
    Float32 _FillValue NaN;
    String cell_measures "area: areacella";
    String cell_methods "area: time: mean";
    Float64 colorBarMaximum 500.0;
    Float64 colorBarMinimum -500.0;
    String comment "mo: For instantaneous outputs, this diagnostic represents an average over the radiation time step using the state of the atmosphere (T,q,clouds) from the first dynamics step within that interval. The time coordinate is the start of the radiation time step interval, so the value for t(N) is the average from t(N) to t(N+1).";
    String history "2017-09-23T04:31:34Z altered by CMOR: replaced missing value flag (-1.07374e+09) with standard missing value (1e+20).";
    String ioos_category "Heat Flux";
    String long_name "Surface Downwelling Longwave Radiation";
    Float32 missing_value NaN;
    String original_name "mo: (stash: m01s02i207, lbproc: 128)";
    String standard_name "surface_downwelling_longwave_flux_in_air";
    String units "W m-2";
  }
  rldscs {
    Float32 _FillValue NaN;
    String cell_measures "area: areacella";
    String cell_methods "area: time: mean";
    Float64 colorBarMaximum 500.0;
    Float64 colorBarMinimum -500.0;
    String comment "mo: For instantaneous outputs, this diagnostic represents an average over the radiation time step using the state of the atmosphere (T,q,clouds) from the first dynamics step within that interval. The time coordinate is the start of the radiation time step interval, so the value for t(N) is the average from t(N) to t(N+1)., HighResMIP_table_comment: Surface downwelling clear-sky longwave radiation";
    String history "2019-10-19T08:08:21Z altered by CMOR: replaced missing value flag (-1.07374e+09) with standard missing value (1e+20).";
    String ioos_category "Heat Flux";
    String long_name "Surface Downwelling Clear-Sky Longwave Radiation";
    Float32 missing_value NaN;
    String original_name "mo: (stash: m01s02i208, lbproc: 128)";
    String standard_name "surface_downwelling_longwave_flux_in_air_assuming_clear_sky";
    String units "W m-2";
  }
  rlus {
    Float32 _FillValue NaN;
    String cell_measures "area: areacella";
    String cell_methods "area: time: mean";
    Float64 colorBarMaximum 500.0;
    Float64 colorBarMinimum -500.0;
    String comment "mo: For instantaneous outputs, this diagnostic represents an average over the radiation time step using the state of the atmosphere (T,q,clouds) from the first dynamics step within that interval. The time coordinate is the start of the radiation time step interval, so the value for t(N) is the average from t(N) to t(N+1).";
    String history "2019-10-17T22:58:34Z altered by CMOR: Changed sign.";
    String ioos_category "Heat Flux";
    String long_name "Surface Upwelling Longwave Radiation";
    Float32 missing_value NaN;
    String original_name "mo: (stash: m01s02i201, lbproc: 128) - (stash: m01s02i207, lbproc: 128)";
    String standard_name "surface_upwelling_longwave_flux_in_air";
    String units "W m-2";
  }
  rlut {
    Float32 _FillValue NaN;
    String cell_measures "area: areacella";
    String cell_methods "area: time: mean";
    Float64 colorBarMaximum 500.0;
    Float64 colorBarMinimum -500.0;
    String comment "at the top of the atmosphere (to be compared with satellite measurements)";
    String history "2019-10-17T21:40:46Z altered by CMOR: replaced missing value flag (-1.07374e+09) with standard missing value (1e+20).";
    String ioos_category "Heat Flux";
    String long_name "TOA Outgoing Longwave Radiation";
    Float32 missing_value NaN;
    String original_name "mo: (stash: m01s03i332, lbproc: 128)";
    String standard_name "toa_outgoing_longwave_flux";
    String units "W m-2";
  }
  rlutcs {
    Float32 _FillValue NaN;
    String cell_measures "area: areacella";
    String cell_methods "area: time: mean";
    Float64 colorBarMaximum 500.0;
    Float64 colorBarMinimum -500.0;
    String comment "mo: For instantaneous outputs, this diagnostic represents an average over the radiation time step using the state of the atmosphere (T,q,clouds) from the first dynamics step within that interval. The time coordinate is the start of the radiation time step interval, so the value for t(N) is the average from t(N) to t(N+1).";
    String history "2019-10-20T14:43:15Z altered by CMOR: replaced missing value flag (-1.07374e+09) with standard missing value (1e+20).";
    String ioos_category "Heat Flux";
    String long_name "TOA Outgoing Clear-Sky Longwave Radiation";
    Float32 missing_value NaN;
    String original_name "mo: (stash: m01s02i206, lbproc: 128)";
    String standard_name "toa_outgoing_longwave_flux_assuming_clear_sky";
    String units "W m-2";
  }
  rsds {
    Float32 _FillValue NaN;
    String cell_measures "area: areacella";
    String cell_methods "area: time: mean";
    Float64 colorBarMaximum 500.0;
    Float64 colorBarMinimum -500.0;
    String comment "mo: For instantaneous outputs, this diagnostic represents an average over the radiation time step using the state of the atmosphere (T,q,clouds) from the first dynamics step within that interval. The time coordinate is the start of the radiation time step interval, so the value for t(N) is the average from t(N) to t(N+1)., HighResMIP_table_comment: surface solar irradiance for UV calculations";
    String history "2019-10-19T00:33:15Z altered by CMOR: replaced missing value flag (-1.07374e+09) with standard missing value (1e+20).";
    String ioos_category "Heat Flux";
    String long_name "Surface Downwelling Shortwave Radiation";
    Float32 missing_value NaN;
    String original_name "mo: (stash: m01s01i235, lbproc: 128)";
    String standard_name "surface_downwelling_shortwave_flux_in_air";
    String units "W m-2";
  }
  rsdscs {
    Float32 _FillValue NaN;
    String cell_measures "area: areacella";
    String cell_methods "area: time: mean";
    Float64 colorBarMaximum 500.0;
    Float64 colorBarMinimum -500.0;
    String comment "mo: For instantaneous outputs, this diagnostic represents an average over the radiation time step using the state of the atmosphere (T,q,clouds) from the first dynamics step within that interval. The time coordinate is the start of the radiation time step interval, so the value for t(N) is the average from t(N) to t(N+1)., HighResMIP_table_comment: surface solar irradiance clear sky for UV calculations";
    String history "2019-10-18T10:00:23Z altered by CMOR: replaced missing value flag (-1.07374e+09) with standard missing value (1e+20).";
    String ioos_category "Heat Flux";
    String long_name "Surface Downwelling Clear-Sky Shortwave Radiation";
    Float32 missing_value NaN;
    String original_name "mo: (stash: m01s01i210, lbproc: 128)";
    String standard_name "surface_downwelling_shortwave_flux_in_air_assuming_clear_sky";
    String units "W m-2";
  }
  rsdt {
    Float32 _FillValue NaN;
    String cell_measures "area: areacella";
    String cell_methods "area: time: mean";
    Float64 colorBarMaximum 500.0;
    Float64 colorBarMinimum -500.0;
    String comment "Shortwave radiation incident at the top of the atmosphere";
    String history "2019-10-17T18:13:15Z altered by CMOR: replaced missing value flag (-1.07374e+09) with standard missing value (1e+20).";
    String ioos_category "Heat Flux";
    String long_name "TOA Incident Shortwave Radiation";
    Float32 missing_value NaN;
    String original_name "mo: (stash: m01s01i207, lbproc: 128)";
    String standard_name "toa_incoming_shortwave_flux";
    String units "W m-2";
  }
  rsus {
    Float32 _FillValue NaN;
    String cell_measures "area: areacella";
    String cell_methods "area: time: mean";
    Float64 colorBarMaximum 500.0;
    Float64 colorBarMinimum -500.0;
    String comment "mo: For instantaneous outputs, this diagnostic represents an average over the radiation time step using the state of the atmosphere (T,q,clouds) from the first dynamics step within that interval. The time coordinate is the start of the radiation time step interval, so the value for t(N) is the average from t(N) to t(N+1).";
    String history "2019-10-19T03:17:43Z altered by CMOR: Changed sign.";
    String ioos_category "Heat Flux";
    String long_name "Surface Upwelling Shortwave Radiation";
    Float32 missing_value NaN;
    String original_name "mo: (stash: m01s01i201, lbproc: 128) - (stash: m01s01i235, lbproc: 128)";
    String standard_name "surface_upwelling_shortwave_flux_in_air";
    String units "W m-2";
  }
  rsuscs {
    Float32 _FillValue NaN;
    String cell_measures "area: areacella";
    String cell_methods "area: time: mean";
    Float64 colorBarMaximum 500.0;
    Float64 colorBarMinimum -500.0;
    String comment "mo: For instantaneous outputs, this diagnostic represents an average over the radiation time step using the state of the atmosphere (T,q,clouds) from the first dynamics step within that interval. The time coordinate is the start of the radiation time step interval, so the value for t(N) is the average from t(N) to t(N+1)., HighResMIP_table_comment: Surface Upwelling Clear-sky Shortwave Radiation";
    String history "2019-10-17T21:40:40Z altered by CMOR: replaced missing value flag (-1.07374e+09) with standard missing value (1e+20).";
    String ioos_category "Heat Flux";
    String long_name "Surface Upwelling Clear-Sky Shortwave Radiation";
    Float32 missing_value NaN;
    String original_name "mo: (stash: m01s01i211, lbproc: 128)";
    String standard_name "surface_upwelling_shortwave_flux_in_air_assuming_clear_sky";
    String units "W m-2";
  }
  rsut {
    Float32 _FillValue NaN;
    String cell_measures "area: areacella";
    String cell_methods "area: time: mean";
    Float64 colorBarMaximum 500.0;
    Float64 colorBarMinimum -500.0;
    String comment "mo: For instantaneous outputs, this diagnostic represents an average over the radiation time step using the state of the atmosphere (T,q,clouds) from the first dynamics step within that interval. The time coordinate is the start of the radiation time step interval, so the value for t(N) is the average from t(N) to t(N+1)., HighResMIP_table_comment: at the top of the atmosphere";
    String history "2019-10-19T03:17:50Z altered by CMOR: replaced missing value flag (-1.07374e+09) with standard missing value (1e+20).";
    String ioos_category "Heat Flux";
    String long_name "TOA Outgoing Shortwave Radiation";
    Float32 missing_value NaN;
    String original_name "mo: (stash: m01s01i208, lbproc: 128)";
    String standard_name "toa_outgoing_shortwave_flux";
    String units "W m-2";
  }
  rsutcs {
    Float32 _FillValue NaN;
    String cell_measures "area: areacella";
    String cell_methods "area: time: mean";
    Float64 colorBarMaximum 500.0;
    Float64 colorBarMinimum -500.0;
    String comment "mo: For instantaneous outputs, this diagnostic represents an average over the radiation time step using the state of the atmosphere (T,q,clouds) from the first dynamics step within that interval. The time coordinate is the start of the radiation time step interval, so the value for t(N) is the average from t(N) to t(N+1)., HighResMIP_table_comment: Calculated in the absence of clouds.";
    String history "2019-10-19T14:01:54Z altered by CMOR: replaced missing value flag (-1.07374e+09) with standard missing value (1e+20).";
    String ioos_category "Heat Flux";
    String long_name "TOA Outgoing Clear-Sky Shortwave Radiation";
    Float32 missing_value NaN;
    String original_name "mo: (stash: m01s01i209, lbproc: 128)";
    String standard_name "toa_outgoing_shortwave_flux_assuming_clear_sky";
    String units "W m-2";
  }
  tas {
    Float32 _FillValue NaN;
    String cell_measures "area: areacella";
    String cell_methods "area: time: mean";
    Float64 colorBarMaximum 313.0;
    Float64 colorBarMinimum 263.0;
    String comment "mo: 1.5m temperature, HighResMIP_table_comment: near-surface (usually, 2 meter) air temperature";
    String history "2019-10-18T22:56:05Z altered by CMOR: Treated scalar dimension: 'height'.";
    String ioos_category "Temperature";
    String long_name "Near-Surface Air Temperature";
    Float32 missing_value NaN;
    String original_name "mo: (stash: m01s03i236, lbproc: 128)";
    String standard_name "air_temperature";
    String units "degree_K";
  }
  NC_GLOBAL {
    String _NCProperties "version=1|netcdflibversion=4.4.1|hdf5libversion=1.8.17";
    String activity_id "HighResMIP";
    String branch_method "fixed historical forcing from 1950 was applied for a 30 year spin-up period, after which the historically-evolving forcing was imposed.";
    Float64 branch_time_in_child 0.0;
    Float64 branch_time_in_parent 10800.0;
    String cdm_data_type "Grid";
    String cmor_version "3.2.4";
    String contact "enquiries@metoffice.gov.uk";
    String Conventions "CF-1.7 CMIP-6.0, COARDS, ACDD-1.3";
    String creation_date "2017-09-19T03:56:55Z";
    String creator_email "enquiries@metoffice.gov.uk";
    String creator_name "ENQUIRIES";
    String creator_type "institution";
    String creator_url "http://hadobs.metoffice.com/";
    String data_specs_version "01.00.23";
    Float64 Easternmost_Easting 359.58331298828125;
    String experiment "coupled historical 1950-2014";
    String experiment_id "hist-1950";
    String external_variables "areacella";
    Int32 forcing_index 1;
    String frequency "mon";
    String further_info_url "https://furtherinfo.es-doc.org/CMIP6.MOHC.HadGEM3-GC31-MM.hist-1950.none.r1i1p1f1";
    Float64 geospatial_lat_max 89.72223663330078;
    Float64 geospatial_lat_min -89.72222137451172;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 359.58331298828125;
    Float64 geospatial_lon_min 0.4166666567325592;
    String geospatial_lon_units "degrees_east";
    String grid "N216";
    String grid_label "gn";
    String history 
"2017-09-19T03:55:49Z MIP Convert v2.0.3.dev0+r1495_269_primavera_coupled.r1668, Python v2.7.12, Iris v1.13.0, Numpy v1.11.1, hadsdk v2.0.3.dev0+r1495_269_primavera_coupled.r1668, netcdftime v1.4.1, Setuptools v26.1.1.post20160905. ; 2017-09-19T03:55:51Z CMOR rewrote data to be consistent with CF standards and CMIP6 requirements.; 2019-07-29T11:18:32Z ChildBranchTimeDoubleFix, DataSpecsVersionAdd, FurtherInfoUrlToHttps, ParentBranchTimeDoubleFix
2024-11-15T11:45:16Z (local files)
2024-11-15T11:45:16Z http://oceano.bo.ingv.it/griddap/HadGEM3_GC31_MM.das";
    String infoUrl "http://hadobs.metoffice.com/";
    Int32 initialization_index 1;
    String institution "Met Office Hadley Centre, Fitzroy Road, Exeter, Devon, EX1 3PB, UK";
    String institution_id "MOHC";
    String keywords "3pb, amount, area, atmosphere, centre, climate, cloud, cloud cover, cloud_area_fraction, cloudiness, clouds, clt, cmip6, cover, data, devon, earth, Earth Science > Atmosphere > Clouds > Cloud Amount/Frequency, ex1, exeter, fitzroy, fraction, frequency, gc31, hadgem3, hadgem3-gc31-mm, hadley, intercomparison, MACMAP, met, meteorology, model, office, output, prepared, project, road, science, time, total";
    String keywords_vocabulary "GCMD Science Keywords";
    String license "CMIP6 model data produced by MOHC is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License (https://creativecommons.org/licenses). Consult https://pcmdi.llnl.gov/CMIP6/TermsOfUse for terms of use governing CMIP6 output, including citation requirements and proper acknowledgment. Further information about this data, including some limitations, can be found via the further_info_url (recorded as a global attribute in this file). The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.";
    String min_number_yrs_per_sim "65";
    String mip_era "CMIP6";
    String mo_runid "u-aj354";
    String nominal_resolution "100 km";
    Float64 Northernmost_Northing 89.72223663330078;
    String parent_activity_id "HighResMIP";
    String parent_experiment_id "spinup-1950";
    String parent_mip_era "CMIP6";
    String parent_source_id "HadGEM3-GC31-MM";
    String parent_time_units "days since 1950-01-01";
    String parent_variant_label "r1i1p1f1";
    Int32 physics_index 1;
    String product "model-output";
    Int32 realization_index 1;
    String realm "atmos";
    String references "Williams, K., et al: The Met Office Global Coupled model 3.0 and 3.1 (GC3.0 & GC3.1) configurations. JAMES, submitted July 2017.";
    String source 
"HadGEM3-GC31-MM (2016): 
aerosol: UKCA-GLOMAP-mode
atmos: MetUM-HadGEM3-GA7.1 (N216; 432 x 324 longitude/latitude; 85 levels; top level 85 km)
atmosChem: none
land: JULES-HadGEM3-GL7.1
landIce: none
ocean: NEMO-HadGEM3-GO6.0 (ORCA025 tripolar primarily 0.25 deg; 1440 x 720 longitude/latitude; 75 levels; top grid cell 0-1 m)
ocnBgchem: none
seaIce: CICE-HadGEM3-GSI8 (ORCA025 tripolar primarily 0.25 deg; 1440 x 720 longitude/latitude)";
    String source_id "HadGEM3-GC31-MM";
    String source_type "AOGCM";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing -89.72222137451172;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "HadGEM3-GC31-MM model output prepared for Climate Model Intercomparison Project 6 (CMIP6)";
    String table_id "Amon";
    String table_info "Creation Date:(12 July 2017) MD5:40751e3ac90d28afc3e73db209cf877b";
    String tier "2";
    String time_coverage_end "2014-01-10T00:00:00Z";
    String time_coverage_start "1950-01-16T00:00:00Z";
    String title "HadGEM3-GC31-MM model output prepared for CMIP6";
    String tracking_id "hdl:21.14100/cef12888-578f-4f0a-81ed-0ca2ddbb1958";
    String variable_id "clt";
    String variant_label "r1i1p1f1";
    Float64 Westernmost_Easting 0.4166666567325592;
  }
}

Using griddap to Request Data and Graphs from Gridded Datasets

griddap lets you request a data subset, graph, or map from a gridded dataset (for example, sea surface temperature data from a satellite), via a specially formed URL. griddap uses the OPeNDAP (external link)

Data Access Protocol (DAP) (external link)

and its projection constraints (external link)

The URL specifies what you want: the dataset, a description of the graph or the subset of the data, and the file type for the response.

(easy) You can get data by using the dataset's Data Access Form. It makes the URL for you.
(easy) You can make a graph or map by using the dataset's Make A Graph form. It makes the URL for you.
(not hard) You can bypass the forms and get the data or make a graph or map by generating the URL by hand or with a computer program or script.

griddap request URLs must be in the form
https://coastwatch.pfeg.noaa.gov/erddap/griddap/datasetID.fileType{?query}
For example,
https://coastwatch.pfeg.noaa.gov/erddap/griddap/jplMURSST41.htmlTable?analysed_sst[(2002-06-01T09:00:00Z)][(-89.99):1000:(89.99)][(-179.99):1000:(180.0)]
Thus, the query is often a data variable name (e.g., analysed_sst), followed by [(start):stride:(stop)] (or a shorter variation of that) for each of the variable's dimensions (for example, [time][latitude][longitude]).

For details, see the griddap Documentation.