ERDDAP > griddap > Data Access Form

Dataset Title:	ECMWF-IFS-HR model output prepared for CMIP6
Institution:	European Centre for Medium-Range Weather Forecasts, Reading RG2 9AX, UK   (Dataset ID: ECMWF_IFS_HR)
Information:	Summary | License | FGDC | ISO 19115 | Metadata | Background | Make a graph

 

Dimensions	Start	Stride	Stop	Size	Spacing
time (UTC)				780	30 days 10h 28m 30s (uneven)
latitude (degrees_north)				361	0.5 (even)
longitude (degrees_east)				720	0.5 (even)

Grid Variables (which always also download all of the dimension variables)

clt (Total Cloud Fraction, percent)

hfls (Surface Upward Latent Heat Flux, W m-2)

hfss (Surface Upward Sensible Heat Flux, W m-2)

pr (Precipitation, kg m-2 s-1)

prw (Water Vapor Path, kg m-2)

ps (Surface Air Pressure, Pa)

psl (Sea Level Pressure, Pa)

rlds (Surface Downwelling Longwave Radiation, W m-2)

rldscs (Surface Downwelling Clear-Sky Longwave Radiation, W m-2)

rlus (Surface Upwelling Longwave Radiation, W m-2)

rlut (TOA Outgoing Longwave Radiation, W m-2)

rlutcs (TOA Outgoing Clear-Sky Longwave Radiation, W m-2)

rsds (Surface Downwelling Shortwave Radiation, W m-2)

rsdscs (Surface Downwelling Clear-Sky Shortwave Radiation, W m-2)

rsdt (TOA Incident Shortwave Radiation, W m-2)

rsus (Surface Upwelling Shortwave Radiation, W m-2)

rsuscs (Surface Upwelling Clear-Sky Shortwave Radiation, W m-2)

rsut (TOA Outgoing Shortwave Radiation, W m-2)

rsutcs (TOA Outgoing Clear-Sky Shortwave Radiation, W m-2)

tas (Near-Surface Air Temperature, degree_K)

File type: (more information) .asc - View OPeNDAP-style ISO-8859-1 comma-separated text. .csv - Download a ISO-8859-1 comma-separated text table (line 1: names; line 2: units; ISO 8601 times). .csvp - Download a ISO-8859-1 .csv file with line 1: name (units). Times are ISO 8601 strings. .csv0 - Download a ISO-8859-1 .csv file without column names or units. Times are ISO 8601 strings. .das - View the dataset's metadata via an ISO-8859-1 OPeNDAP Dataset Attribute Structure (DAS). .dds - View the dataset's structure via an ISO-8859-1 OPeNDAP Dataset Descriptor Structure (DDS). .dods - OPeNDAP clients use this to download the data in the DODS binary format. .esriAscii - Download an ISO-8859-1 ESRI ASCII file (latitude longitude data only; longitude must be all below or all above 180). .fgdc - View the dataset's UTF-8 FGDC .xml metadata. .graph - View a Make A Graph web page. .help - View a web page with a description of griddap. .html - View an OPeNDAP-style HTML Data Access Form. .htmlTable - View a UTF-8 .html web page with the data in a table. Times are ISO 8601 strings. .iso19115 - View the dataset's ISO 19115-2/19139 UTF-8 .xml metadata. .itx - Download an ISO-8859-1 Igor Text File. Each axis variable and each data variable becomes a wave. .json - View a table-like UTF-8 JSON file (missing value = 'null'; times are ISO 8601 strings). .jsonlCSV1 - View a UTF-8 JSON Lines CSV file with column names on line 1 (mv = 'null'; times are ISO 8601 strings). .jsonlCSV - View a UTF-8 JSON Lines CSV file without column names (mv = 'null'; times are ISO 8601 strings). .jsonlKVP - View a UTF-8 JSON Lines file with Key:Value pairs (missing value = 'null'; times are ISO 8601 strings). .mat - Download a MATLAB binary file. .nc - Download a NetCDF-3 binary file with COARDS/CF/ACDD metadata. .ncHeader - View the UTF-8 header (the metadata) for the NetCDF-3 .nc file. .ncml - View the dataset's structure and metadata as a UTF-8 NCML .xml file. .nccsv - Download a NetCDF-3-like 7-bit ASCII NCCSV .csv file with COARDS/CF/ACDD metadata. .nccsvMetadata - View the dataset's metadata as the top half of a 7-bit ASCII NCCSV .csv file. .ncoJson - Download a UTF-8 NCO lvl=2 JSON file with COARDS/CF/ACDD metadata. .odvTxt - Download time,latitude,longitude,otherVariables as an ODV Generic Spreadsheet File (.txt). .timeGaps - View a UTF-8 list of gaps in the time values which are larger than the median gap. .tsv - Download a ISO-8859-1 tab-separated text table (line 1: names; line 2: units; ISO 8601 times). .tsvp - Download a ISO-8859-1 .tsv file with line 1: name (units). Times are ISO 8601 strings. .tsv0 - Download a ISO-8859-1 .tsv file without column names or units. Times are ISO 8601 strings. .wav - Download a .wav audio file. All columns must be numeric and of the same type. .xhtml - View a UTF-8 XHTML (XML) file with the data in a table. Times are ISO 8601 strings. .geotif - View a grayscale GeoTIFF .tif file (for latitude longitude data; longitude must be all below or all above 180). .kml - View a Google Earth .kml file (for latitude, longitude data only). .smallPdf - View a small .pdf image file with a graph or map. .pdf - View a standard, medium-sized .pdf image file with a graph or map. .largePdf - View a large .pdf image file with a graph or map. .smallPng - View a small .png image file with a graph or map. .png - View a standard, medium-sized .png image file with a graph or map. .largePng - View a large .png image file with a graph or map. .transparentPng - View a .png image file (just the data, without axes, landmask, or legend).

(Documentation / Bypass this form)
 
Submit (Please be patient. It may take a while to get the data.)

 

---

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range -6.298128e+8, 1.4187312e+9;
    String axis "T";
    String calendar "gregorian";
    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 -90.0, 90.0;
    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 0.0, 359.5;
    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 "2017-09-09T10:12:38Z altered by CMOR: Converted units from '1.0' to '%'. 2017-09-09T10:12:38Z altered by CMOR: replaced missing value flag (9.96921e+36) with standard missing value (1e+20). 2017-09-09T10:12:38Z altered by CMOR: Inverted axis: lat.";
    String ioos_category "Meteorology";
    String long_name "Total Cloud Fraction";
    Float32 missing_value NaN;
    String original_name "tcc";
    String standard_name "cloud_area_fraction";
    String units "percent";
  }
  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 "2017-09-09T20:59:41Z altered by CMOR: Converted units from 'W*m-2' to 'W m-2'. 2017-09-09T20:59:41Z altered by CMOR: Changed sign. 2017-09-09T20:59:41Z altered by CMOR: replaced missing value flag (9.96921e+36) with standard missing value (1e+20). 2017-09-09T20:59:41Z altered by CMOR: Inverted axis: lat.";
    String ioos_category "Heat Flux";
    String long_name "Surface Upward Latent Heat Flux";
    Float32 missing_value NaN;
    String original_name "slhf";
    String standard_name "surface_upward_latent_heat_flux";
    String units "W m-2";
  }
  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 "2017-09-09T15:23:34Z altered by CMOR: Converted units from 'W*m-2' to 'W m-2'. 2017-09-09T15:23:34Z altered by CMOR: Changed sign. 2017-09-09T15:23:34Z altered by CMOR: replaced missing value flag (9.96921e+36) with standard missing value (1e+20). 2017-09-09T15:23:34Z altered by CMOR: Inverted axis: lat.";
    String ioos_category "Heat Flux";
    String long_name "Surface Upward Sensible Heat Flux";
    Float32 missing_value NaN;
    String original_name "sshf";
    String standard_name "surface_upward_sensible_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 "2017-09-09T18:16:45Z altered by CMOR: Converted units from 'kg*m-2*s-1' to 'kg m-2 s-1'. 2017-09-09T18:16:45Z altered by CMOR: replaced missing value flag (9.96921e+36) with standard missing value (1e+20). 2017-09-09T18:16:45Z altered by CMOR: Inverted axis: lat.";
    String ioos_category "Meteorology";
    String long_name "Precipitation";
    Float32 missing_value NaN;
    String original_name "tp";
    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 "2017-09-09T16:14:16Z altered by CMOR: Converted units from 'kg*m-2' to 'kg m-2'. 2017-09-09T16:14:16Z altered by CMOR: replaced missing value flag (9.96921e+36) with standard missing value (1e+20). 2017-09-09T16:14:16Z altered by CMOR: Inverted axis: lat.";
    String ioos_category "Meteorology";
    String long_name "Water Vapor Path";
    Float32 missing_value NaN;
    String original_name "tcwv";
    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 "2017-09-10T03:27:41Z altered by CMOR: replaced missing value flag (9.96921e+36) with standard missing value (1e+20). 2017-09-10T03:27:41Z altered by CMOR: Inverted axis: lat.";
    String ioos_category "Pressure";
    String long_name "Surface Air Pressure";
    Float32 missing_value NaN;
    String original_name "sp";
    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 "2017-09-10T00:26:41Z altered by CMOR: replaced missing value flag (9.96921e+36) with standard missing value (1e+20). 2017-09-10T00:26:41Z altered by CMOR: Inverted axis: lat.";
    String ioos_category "Pressure";
    String long_name "Sea Level Pressure";
    Float32 missing_value NaN;
    String original_name "msl";
    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 history "2017-09-09T16:13:38Z altered by CMOR: Converted units from 'W*m-2' to 'W m-2'. 2017-09-09T16:13:38Z altered by CMOR: replaced missing value flag (9.96921e+36) with standard missing value (1e+20). 2017-09-09T16:13:38Z altered by CMOR: Inverted axis: lat.";
    String ioos_category "Heat Flux";
    String long_name "Surface Downwelling Longwave Radiation";
    Float32 missing_value NaN;
    String original_name "strd";
    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 "Surface downwelling clear-sky longwave radiation";
    String history "2017-09-09T19:54:04Z altered by CMOR: Converted units from 'W*m-2' to 'W m-2'. 2017-09-09T19:54:04Z altered by CMOR: replaced missing value flag (9.96921e+36) with standard missing value (1e+20). 2017-09-09T19:54:04Z altered by CMOR: Inverted axis: lat.";
    String ioos_category "Heat Flux";
    String long_name "Surface Downwelling Clear-Sky Longwave Radiation";
    Float32 missing_value NaN;
    String original_name "strdc";
    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 history "2017-09-10T08:39:44Z altered by CMOR: Converted units from 'W*m-2' to 'W m-2'. 2017-09-10T08:39:44Z altered by CMOR: replaced missing value flag (9.96921e+36) with standard missing value (1e+20). 2017-09-10T08:39:44Z altered by CMOR: Inverted axis: lat.";
    String ioos_category "Heat Flux";
    String long_name "Surface Upwelling Longwave Radiation";
    Float32 missing_value NaN;
    String original_name "stru";
    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 "2017-09-10T14:53:35Z altered by CMOR: Converted units from 'W*m-2' to 'W m-2'. 2017-09-10T14:53:35Z altered by CMOR: replaced missing value flag (9.96921e+36) with standard missing value (1e+20). 2017-09-10T14:53:35Z altered by CMOR: Inverted axis: lat.";
    String ioos_category "Heat Flux";
    String long_name "TOA Outgoing Longwave Radiation";
    Float32 missing_value NaN;
    String original_name "olr";
    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 history "2017-09-09T01:42:31Z altered by CMOR: Converted units from 'W*m-2' to 'W m-2'. 2017-09-09T01:42:31Z altered by CMOR: replaced missing value flag (9.96921e+36) with standard missing value (1e+20). 2017-09-09T01:42:31Z altered by CMOR: Inverted axis: lat.";
    String ioos_category "Heat Flux";
    String long_name "TOA Outgoing Clear-Sky Longwave Radiation";
    Float32 missing_value NaN;
    String original_name "olrc";
    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 "surface solar irradiance for UV calculations";
    String history "2017-09-10T08:53:51Z altered by CMOR: Converted units from 'W*m-2' to 'W m-2'. 2017-09-10T08:53:51Z altered by CMOR: replaced missing value flag (9.96921e+36) with standard missing value (1e+20). 2017-09-10T08:53:52Z altered by CMOR: Inverted axis: lat.";
    String ioos_category "Heat Flux";
    String long_name "Surface Downwelling Shortwave Radiation";
    Float32 missing_value NaN;
    String original_name "ssrd";
    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 "surface solar irradiance clear sky for UV calculations";
    String history "2017-09-10T00:27:53Z altered by CMOR: Converted units from 'W*m-2' to 'W m-2'. 2017-09-10T00:27:53Z altered by CMOR: replaced missing value flag (9.96921e+36) with standard missing value (1e+20). 2017-09-10T00:27:53Z altered by CMOR: Inverted axis: lat.";
    String ioos_category "Heat Flux";
    String long_name "Surface Downwelling Clear-Sky Shortwave Radiation";
    Float32 missing_value NaN;
    String original_name "ssrdc";
    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 "2017-09-10T10:51:47Z altered by CMOR: Converted units from 'W*m-2' to 'W m-2'. 2017-09-10T10:51:47Z altered by CMOR: replaced missing value flag (9.96921e+36) with standard missing value (1e+20). 2017-09-10T10:51:47Z altered by CMOR: Inverted axis: lat.";
    String ioos_category "Heat Flux";
    String long_name "TOA Incident Shortwave Radiation";
    Float32 missing_value NaN;
    String original_name "tisr";
    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 history "2017-09-10T00:27:49Z altered by CMOR: Converted units from 'W*m-2' to 'W m-2'. 2017-09-10T00:27:49Z altered by CMOR: replaced missing value flag (9.96921e+36) with standard missing value (1e+20). 2017-09-10T00:27:49Z altered by CMOR: Inverted axis: lat.";
    String ioos_category "Heat Flux";
    String long_name "Surface Upwelling Shortwave Radiation";
    Float32 missing_value NaN;
    String original_name "ssru";
    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 "Surface Upwelling Clear-sky Shortwave Radiation";
    String history "2017-09-10T00:27:56Z altered by CMOR: Converted units from 'W*m-2' to 'W m-2'. 2017-09-10T00:27:56Z altered by CMOR: replaced missing value flag (9.96921e+36) with standard missing value (1e+20). 2017-09-10T00:27:56Z altered by CMOR: Inverted axis: lat.";
    String ioos_category "Heat Flux";
    String long_name "Surface Upwelling Clear-Sky Shortwave Radiation";
    Float32 missing_value NaN;
    String original_name "ssruc";
    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 "at the top of the atmosphere";
    String history "2017-09-09T22:08:19Z altered by CMOR: Converted units from 'W*m-2' to 'W m-2'. 2017-09-09T22:08:19Z altered by CMOR: replaced missing value flag (9.96921e+36) with standard missing value (1e+20). 2017-09-09T22:08:19Z altered by CMOR: Inverted axis: lat.";
    String ioos_category "Heat Flux";
    String long_name "TOA Outgoing Shortwave Radiation";
    Float32 missing_value NaN;
    String original_name "tosr";
    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 "Calculated in the absence of clouds.";
    String history "2017-09-09T08:11:34Z altered by CMOR: Converted units from 'W*m-2' to 'W m-2'. 2017-09-09T08:11:34Z altered by CMOR: replaced missing value flag (9.96921e+36) with standard missing value (1e+20). 2017-09-09T08:11:34Z altered by CMOR: Inverted axis: lat.";
    String ioos_category "Heat Flux";
    String long_name "TOA Outgoing Clear-Sky Shortwave Radiation";
    Float32 missing_value NaN;
    String original_name "tosrc";
    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 "near-surface (usually, 2 meter) air temperature";
    String history "2017-09-09T15:22:52Z altered by CMOR: Treated scalar dimension: 'height'. 2017-09-09T15:22:52Z altered by CMOR: replaced missing value flag (9.96921e+36) with standard missing value (1e+20). 2017-09-09T15:22:52Z altered by CMOR: Inverted axis: lat.";
    String ioos_category "Temperature";
    String long_name "Near-Surface Air Temperature";
    Float32 missing_value NaN;
    String original_name "2t";
    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 "Initialized directly from parent restart files";
    Float64 branch_time_in_child 0.0;
    Float64 branch_time_in_parent 18262.0;
    String cdm_data_type "Grid";
    String cmor_version "3.2.4";
    String contact "chris.roberts@ecmwf.int";
    String Conventions "CF-1.7 CMIP-6.0, COARDS, ACDD-1.3";
    String creation_date "2017-09-09T10:12:38Z";
    String creator_email "chris.roberts@ecmwf.int";
    String creator_name "Chris Roberts";
    String creator_type "person";
    String data_specs_version "01.00.23";
    Float64 Easternmost_Easting 359.5;
    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.ECMWF.ECMWF-IFS-HR.hist-1950.none.r1i1p1f1";
    Float64 geospatial_lat_max 90.0;
    Float64 geospatial_lat_min -90.0;
    Float64 geospatial_lat_resolution 0.5;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 359.5;
    Float64 geospatial_lon_min 0.0;
    Float64 geospatial_lon_resolution 0.5;
    String geospatial_lon_units "degrees_east";
    String grid "Data interpolated onto 0.5x0.5 regular grid from native Tco399 cubic octahedral reduced Gaussian grid; 91 levels; top level 1 hPa";
    String grid_label "gr";
    String history 
"2017-09-09T10:12:38Z CMOR rewrote data to be consistent with CF standards and CMIP6 requirements.; 2019-08-01T08:25:56Z ChildBranchTimeDoubleFix, DataSpecsVersionAdd, EcmwfInstitution, EcmwfReferences, EcmwfSourceHr, FurtherInfoUrlToHttps, ParentBranchTimeDoubleFix
2024-12-22T01:55:19Z (local files)
2024-12-22T01:55:19Z http://oceano.bo.ingv.it/erddap/griddap/ECMWF_IFS_HR.das";
    String infoUrl "???";
    Int32 initialization_index 1;
    String institution "European Centre for Medium-Range Weather Forecasts, Reading RG2 9AX, UK";
    String institution_id "ECMWF";
    String keywords "9ax, amount, area, atmosphere, centre, climate, cloud, cloud cover, cloud_area_fraction, cloudiness, clouds, clt, cmip6, cover, data, earth, Earth Science > Atmosphere > Clouds > Cloud Amount/Frequency, ecmwf, ecmwf-ifs-hr, european, forecasts, fraction, frequency, ifs, intercomparison, MACMAP, medium, medium-range, meteorology, model, output, prepared, project, range, reading, rg2, science, time, total, weather";
    String keywords_vocabulary "GCMD Science Keywords";
    String license "CMIP6 model data produced by ECMWF is licensed under a Creative Commons Attribution-NonCommercial-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) and at http://www.ecmwf.int/en/forecasts/documentation-and-support. 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 member_id "r1i1p1f1";
    String min_number_yrs_per_sim "65";
    String mip_era "CMIP6";
    String nominal_resolution "25 km";
    Float64 Northernmost_Northing 90.0;
    String parent_activity_id "HighResMIP";
    String parent_experiment_id "spinup-1950";
    String parent_mip_era "CMIP6";
    String parent_source_id "ECMWF-IFS-HR";
    String parent_time_units "days since 1950-01-01 00:00:00";
    String parent_variant_label "r1i1p1f1";
    Int32 physics_index 1;
    String product "model-output";
    Int32 realization_index 1;
    String realm "atmos";
    String references "Roberts, C. D., Senan, R., Molteni, F., Boussetta, S., Mayer, M., and Keeley, S. P. E.: Climate model configurations of the ECMWF Integrated Forecasting System (ECMWF-IFS cycle 43r1) for HighResMIP, Geosci. Model Dev., 11, 3681-3712, https://doi.org/10.5194/gmd-11-3681-2018, 2018.";
    String source 
"ECMWF-IFS-HR (2017): 
aerosol: none
atmos: IFS (IFS CY43R1, Tco399, cubic octahedral reduced Gaussian grid equivalent to 1600 x 800 longitude/latitude; 91 levels; top level 0.01 hPa)
atmosChem: none
land: HTESSEL (as implemented in IFS CY43R1)
landIce: none
ocean: NEMO3.4 (NEMO v3.4; ORCA025 tripolar grid; 1442 x 1021 longitude/latitude; 75 levels; top grid cell 0-1 m)
ocnBgchem: none
seaIce: LIM2 (LIM v2; ORCA025 tripolar grid; 1442 x 1021 longitude/latitude)";
    String source_id "ECMWF-IFS-HR";
    String source_type "AOGCM";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing -90.0;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "European Centre for Medium-Range Weather Forecasts (ECMWF)-IFS-HR model output prepared for Climate Model Intercomparison Project 6 (CMIP6)";
    String table_id "Amon";
    String table_info "Creation Date:(12 July 2017) MD5:be9fcb856907261d07d6fec112583ccf";
    String tier "2";
    String time_coverage_end "2014-12-16T12:00:00Z";
    String time_coverage_start "1950-01-16T12:00:00Z";
    String title "ECMWF-IFS-HR model output prepared for CMIP6";
    String tracking_id "hdl:21.14100/f0b06239-cf49-4e87-85ae-09b427dea0cf";
    String variable_id "clt";
    String variant_info "Coupled historical integration with external forcings for 1950-2014. Ensemble spread is generated by stochastic physics.";
    String variant_label "r1i1p1f1";
    Float64 Westernmost_Easting 0.0;
  }
}

 

---

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 Data Access Protocol (DAP) and its projection constraints.

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.

 

---

ERDDAP, Version 2.18
Disclaimers | Privacy Policy | Contact