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Dataset Title:	Consorzio LaMMA WRF d01 GRIB2 surface fields - run 2026051506
Institution:	Consorzio LaMMA   (Dataset ID: lmaG2s2026051506)
Information:	Summary | License | Metadata | Background | Files | Make a graph

 

Dimensions	Start	Stride	Stop	Size	Spacing
time (UTC)				48	1h 0m 0s (even)
y (km)				1399	1.5 (even)
x (km)				1399	1.5 (even)

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

Convective_available_potential_energy_surface (J/kg)

Convective_inhibition_surface (J/kg)

Downward_long_wave_radiation_flux_surface (W.m-2)

Downward_short_wave_radiation_flux_surface (W.m-2)

Geopotential_height_surface (gpm)

Geopotential_height_zeroDegC_isotherm (gpm)

High_cloud_cover_high_cloud (percent)

Low_cloud_cover_low_cloud (percent)

Medium_cloud_cover_middle_cloud (percent)

Planetary_boundary_layer_height_surface (m)

Precipitable_water_entire_atmosphere_single_layer (kg.m-2)

Pressure_reduced_to_MSL_msl (Pa)

Temperature_surface (Temperature @ Ground or water surface, K)

Total_cloud_cover_entire_atmosphere (percent)

Upward_long_wave_radiation_flux_surface (W.m-2)

Upward_short_wave_radiation_flux_surface (W.m-2)

Visibility_surface (Visibility @ Ground or water surface, m)

Water_temperature_surface (K)

Wind_speed_gust_surface (m/s)

File type: (more information) .asc - View OPeNDAP-style ISO-8859-1 comma-separated text. .croissant - Download the dataset croissant schema. .csv - Download a ISO-8859-1 comma-separated text table (line 1: names; line 2: units; ISO 8601 times). .csv0 - Download a ISO-8859-1 .csv file without column names or units. Times are ISO 8601 strings. .csvp - Download a ISO-8859-1 .csv file with line 1: name (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. .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 19115/19139 UTF-8 .xml metadata using the version default for this server. .iso19115_2 - View the dataset's ISO 19115-2/19139 UTF-8 .xml metadata. .iso19115_3_2016 - View the dataset's ISO 19115-3:2016 UTF-8 .xml metadata. .iso19139_2007 - View the dataset's ISO 19139:2007 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). .jsonlCSV - View a UTF-8 JSON Lines CSV file without column names (mv = '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). .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. .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. .ncml - View the dataset's structure and metadata as a UTF-8 NCML .xml 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). .parquet - Download as a parquet file. Metadata contains column names ("column_names") and units ("column_units"). .parquetWMeta - Download as a parquet file with detailed metadata. .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). .tsv0 - Download a ISO-8859-1 .tsv file without column names or units. Times are ISO 8601 strings. .tsvp - Download a ISO-8859-1 .tsv file with line 1: name (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). .largePdf - View a large .pdf image file with a graph or map. .largePng - View a large .png image file with a graph or map. .pdf - View a standard, medium-sized .pdf image file with a graph or map. .png - View a standard, medium-sized .png image file with a graph or map. .smallPdf - View a small .pdf image file with a graph or map. .smallPng - View a small .png image file with a graph or map. .transparentPng - View a .png image file (just the data, without axes, landmask, or legend).

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The Dataset Attribute Structure (.das) for this Dataset

Attributes {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.7788284e+9, 1.7789976e+9;
    String axis "T";
    String calendar "proleptic_gregorian";
    String ioos_category "Time";
    String long_name "GRIB forecast or observation time";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  y {
    Float32 actual_range -1317.759, 779.2413;
    String ioos_category "Location";
    String long_name "Projection Y Coordinate";
    String standard_name "projection_y_coordinate";
    String units "km";
  }
  x {
    Float32 actual_range -1048.702, 1048.298;
    String ioos_category "Location";
    String long_name "Projection X Coordinate";
    String standard_name "projection_x_coordinate";
    String units "km";
  }
  Convective_available_potential_energy_surface {
    String abbreviation "CAPE";
    String Grib2_Generating_Process_Type "Forecast";
    String Grib2_Level_Desc "Ground or water surface";
    Int32 Grib2_Level_Type 1;
    Int32 Grib2_Parameter 0, 7, 6;
    String Grib2_Parameter_Category "Thermodynamic stability indices";
    String Grib2_Parameter_Discipline "Meteorological products";
    String Grib2_Parameter_Name "Convective available potential energy";
    String Grib2_Statistical_Process_Type "UnknownStatType--1";
    String Grib_Variable_Id "VAR_0-7-6_L1";
    String ioos_category "Hydrology";
    String long_name "Convective available potential energy @ Ground or water surface";
    Float32 missing_value NaN;
    String units "J/kg";
  }
  Convective_inhibition_surface {
    String abbreviation "CIN";
    String Grib2_Generating_Process_Type "Forecast";
    String Grib2_Level_Desc "Ground or water surface";
    Int32 Grib2_Level_Type 1;
    Int32 Grib2_Parameter 0, 7, 7;
    String Grib2_Parameter_Category "Thermodynamic stability indices";
    String Grib2_Parameter_Discipline "Meteorological products";
    String Grib2_Parameter_Name "Convective inhibition";
    String Grib2_Statistical_Process_Type "UnknownStatType--1";
    String Grib_Variable_Id "VAR_0-7-7_L1";
    String ioos_category "Hydrology";
    String long_name "Convective inhibition @ Ground or water surface";
    Float32 missing_value NaN;
    String units "J/kg";
  }
  Downward_long_wave_radiation_flux_surface {
    String abbreviation "DLWRF";
    Float64 colorBarMaximum 500.0;
    Float64 colorBarMinimum -500.0;
    String Grib2_Generating_Process_Type "Forecast";
    String Grib2_Level_Desc "Ground or water surface";
    Int32 Grib2_Level_Type 1;
    Int32 Grib2_Parameter 0, 5, 3;
    String Grib2_Parameter_Category "Long wave radiation";
    String Grib2_Parameter_Discipline "Meteorological products";
    String Grib2_Parameter_Name "Downward long-wave radiation flux";
    String Grib2_Statistical_Process_Type "UnknownStatType--1";
    String Grib_Variable_Id "VAR_0-5-3_L1";
    String ioos_category "Optical Properties";
    String long_name "Downward long-wave radiation flux @ Ground or water surface";
    Float32 missing_value NaN;
    String units "W.m-2";
  }
  Downward_short_wave_radiation_flux_surface {
    String abbreviation "DSWRF";
    Float64 colorBarMaximum 500.0;
    Float64 colorBarMinimum -500.0;
    String Grib2_Generating_Process_Type "Forecast";
    String Grib2_Level_Desc "Ground or water surface";
    Int32 Grib2_Level_Type 1;
    Int32 Grib2_Parameter 0, 4, 7;
    String Grib2_Parameter_Category "Short wave radiation";
    String Grib2_Parameter_Discipline "Meteorological products";
    String Grib2_Parameter_Name "Downward short-wave radiation flux";
    String Grib2_Statistical_Process_Type "UnknownStatType--1";
    String Grib_Variable_Id "VAR_0-4-7_L1";
    String ioos_category "Optical Properties";
    String long_name "Downward short-wave radiation flux @ Ground or water surface";
    Float32 missing_value NaN;
    String units "W.m-2";
  }
  Geopotential_height_surface {
    String abbreviation "HGT";
    Float64 colorBarMaximum 1000.0;
    Float64 colorBarMinimum -50.0;
    String Grib2_Generating_Process_Type "Forecast";
    String Grib2_Level_Desc "Ground or water surface";
    Int32 Grib2_Level_Type 1;
    Int32 Grib2_Parameter 0, 3, 5;
    String Grib2_Parameter_Category "Mass";
    String Grib2_Parameter_Discipline "Meteorological products";
    String Grib2_Parameter_Name "Geopotential height";
    String Grib2_Statistical_Process_Type "UnknownStatType--1";
    String Grib_Variable_Id "VAR_0-3-5_L1";
    String ioos_category "Sea Level";
    String long_name "Geopotential height @ Ground or water surface";
    Float32 missing_value NaN;
    String standard_name "geopotential_height";
    String units "gpm";
  }
  Geopotential_height_zeroDegC_isotherm {
    String abbreviation "HGT";
    Float64 colorBarMaximum 1000.0;
    Float64 colorBarMinimum -50.0;
    String Grib2_Generating_Process_Type "Forecast";
    String Grib2_Level_Desc "Level of 0 °C isotherm";
    Int32 Grib2_Level_Type 4;
    Int32 Grib2_Parameter 0, 3, 5;
    String Grib2_Parameter_Category "Mass";
    String Grib2_Parameter_Discipline "Meteorological products";
    String Grib2_Parameter_Name "Geopotential height";
    String Grib2_Statistical_Process_Type "UnknownStatType--1";
    String Grib_Variable_Id "VAR_0-3-5_L4";
    String ioos_category "Sea Level";
    String long_name "Geopotential height @ Level of 0 °C isotherm";
    Float32 missing_value NaN;
    String standard_name "geopotential_height";
    String units "gpm";
  }
  High_cloud_cover_high_cloud {
    String abbreviation "HCDC";
    Float64 colorBarMaximum 100.0;
    Float64 colorBarMinimum 0.0;
    String Grib2_Generating_Process_Type "Forecast";
    String Grib2_Level_Desc "High cloud layer";
    Int32 Grib2_Level_Type 234;
    Int32 Grib2_Parameter 0, 6, 5;
    String Grib2_Parameter_Category "Cloud";
    String Grib2_Parameter_Discipline "Meteorological products";
    String Grib2_Parameter_Name "High cloud cover";
    String Grib2_Statistical_Process_Type "UnknownStatType--1";
    String Grib_Variable_Id "VAR_0-6-5_L234";
    String ioos_category "Bottom Character";
    String long_name "High cloud cover @ High cloud layer";
    Float32 missing_value NaN;
    String standard_name "cloud_area_fraction";
    String units "percent";
  }
  Low_cloud_cover_low_cloud {
    String abbreviation "LCDC";
    Float64 colorBarMaximum 100.0;
    Float64 colorBarMinimum 0.0;
    String Grib2_Generating_Process_Type "Forecast";
    String Grib2_Level_Desc "Low cloud layer";
    Int32 Grib2_Level_Type 214;
    Int32 Grib2_Parameter 0, 6, 3;
    String Grib2_Parameter_Category "Cloud";
    String Grib2_Parameter_Discipline "Meteorological products";
    String Grib2_Parameter_Name "Low cloud cover";
    String Grib2_Statistical_Process_Type "UnknownStatType--1";
    String Grib_Variable_Id "VAR_0-6-3_L214";
    String ioos_category "Bottom Character";
    String long_name "Low cloud cover @ Low cloud layer";
    Float32 missing_value NaN;
    String standard_name "cloud_area_fraction";
    String units "percent";
  }
  Medium_cloud_cover_middle_cloud {
    String abbreviation "MCDC";
    Float64 colorBarMaximum 100.0;
    Float64 colorBarMinimum 0.0;
    String Grib2_Generating_Process_Type "Forecast";
    String Grib2_Level_Desc "Middle cloud layer";
    Int32 Grib2_Level_Type 224;
    Int32 Grib2_Parameter 0, 6, 4;
    String Grib2_Parameter_Category "Cloud";
    String Grib2_Parameter_Discipline "Meteorological products";
    String Grib2_Parameter_Name "Medium cloud cover";
    String Grib2_Statistical_Process_Type "UnknownStatType--1";
    String Grib_Variable_Id "VAR_0-6-4_L224";
    String ioos_category "Bottom Character";
    String long_name "Medium cloud cover @ Middle cloud layer";
    Float32 missing_value NaN;
    String standard_name "cloud_area_fraction";
    String units "percent";
  }
  Planetary_boundary_layer_height_surface {
    String abbreviation "HPBL";
    Float64 colorBarMaximum 2.0;
    Float64 colorBarMinimum -2.0;
    String Grib2_Generating_Process_Type "Forecast";
    String Grib2_Level_Desc "Ground or water surface";
    Int32 Grib2_Level_Type 1;
    Int32 Grib2_Parameter 0, 3, 18;
    String Grib2_Parameter_Category "Mass";
    String Grib2_Parameter_Discipline "Meteorological products";
    String Grib2_Parameter_Name "Planetary boundary layer height";
    String Grib2_Statistical_Process_Type "UnknownStatType--1";
    String Grib_Variable_Id "VAR_0-3-18_L1";
    String ioos_category "Sea Level";
    String long_name "Planetary boundary layer height @ Ground or water surface";
    Float32 missing_value NaN;
    String standard_name "sea_surface_height";
    String units "m";
  }
  Precipitable_water_entire_atmosphere_single_layer {
    String abbreviation "PWAT";
    Float64 colorBarMaximum 50.0;
    Float64 colorBarMinimum 0.0;
    String Grib2_Generating_Process_Type "Forecast";
    String Grib2_Level_Desc "Entire atmosphere layer";
    Int32 Grib2_Level_Type 200;
    Int32 Grib2_Parameter 0, 1, 3;
    String Grib2_Parameter_Category "Moisture";
    String Grib2_Parameter_Discipline "Meteorological products";
    String Grib2_Parameter_Name "Precipitable water";
    String Grib2_Statistical_Process_Type "UnknownStatType--1";
    String Grib_Variable_Id "VAR_0-1-3_L200";
    String ioos_category "Meteorology";
    String long_name "Precipitable water @ Entire atmosphere layer";
    Float32 missing_value NaN;
    String standard_name "water_content_of_atmosphere_layer";
    String units "kg.m-2";
  }
  Pressure_reduced_to_MSL_msl {
    String abbreviation "PRMSL";
    String Grib2_Generating_Process_Type "Forecast";
    String Grib2_Level_Desc "Mean sea level";
    Int32 Grib2_Level_Type 101;
    Int32 Grib2_Parameter 0, 3, 1;
    String Grib2_Parameter_Category "Mass";
    String Grib2_Parameter_Discipline "Meteorological products";
    String Grib2_Parameter_Name "Pressure reduced to MSL";
    String Grib2_Statistical_Process_Type "UnknownStatType--1";
    String Grib_Variable_Id "VAR_0-3-1_L101";
    String ioos_category "Pressure";
    String long_name "Pressure reduced to MSL @ Mean sea level";
    Float32 missing_value NaN;
    String units "Pa";
  }
  Temperature_surface {
    String abbreviation "TMP";
    Float64 colorBarMaximum 305.0;
    Float64 colorBarMinimum 273.0;
    String Grib2_Generating_Process_Type "Forecast";
    String Grib2_Level_Desc "Ground or water surface";
    Int32 Grib2_Level_Type 1;
    Int32 Grib2_Parameter 0, 0, 0;
    String Grib2_Parameter_Category "Temperature";
    String Grib2_Parameter_Discipline "Meteorological products";
    String Grib2_Parameter_Name "Temperature";
    String Grib2_Statistical_Process_Type "UnknownStatType--1";
    String Grib_Variable_Id "VAR_0-0-0_L1";
    String ioos_category "Temperature";
    String long_name "Temperature @ Ground or water surface";
    Float32 missing_value NaN;
    String standard_name "sea_water_temperature";
    String units "K";
  }
  Total_cloud_cover_entire_atmosphere {
    String abbreviation "TCDC";
    Float64 colorBarMaximum 100.0;
    Float64 colorBarMinimum 0.0;
    String Grib2_Generating_Process_Type "Forecast";
    String Grib2_Level_Desc "Entire atmosphere";
    Int32 Grib2_Level_Type 10;
    Int32 Grib2_Parameter 0, 6, 1;
    String Grib2_Parameter_Category "Cloud";
    String Grib2_Parameter_Discipline "Meteorological products";
    String Grib2_Parameter_Name "Total cloud cover";
    String Grib2_Statistical_Process_Type "UnknownStatType--1";
    String Grib_Variable_Id "VAR_0-6-1_L10";
    String ioos_category "Bottom Character";
    String long_name "Total cloud cover @ Entire atmosphere";
    Float32 missing_value NaN;
    String standard_name "cloud_area_fraction";
    String units "percent";
  }
  Upward_long_wave_radiation_flux_surface {
    String abbreviation "ULWRF";
    Float64 colorBarMaximum 500.0;
    Float64 colorBarMinimum -500.0;
    String Grib2_Generating_Process_Type "Forecast";
    String Grib2_Level_Desc "Ground or water surface";
    Int32 Grib2_Level_Type 1;
    Int32 Grib2_Parameter 0, 5, 4;
    String Grib2_Parameter_Category "Long wave radiation";
    String Grib2_Parameter_Discipline "Meteorological products";
    String Grib2_Parameter_Name "Upward long-wave radiation flux";
    String Grib2_Statistical_Process_Type "UnknownStatType--1";
    String Grib_Variable_Id "VAR_0-5-4_L1";
    String ioos_category "Optical Properties";
    String long_name "Upward long-wave radiation flux @ Ground or water surface";
    Float32 missing_value NaN;
    String units "W.m-2";
  }
  Upward_short_wave_radiation_flux_surface {
    String abbreviation "USWRF";
    Float64 colorBarMaximum 500.0;
    Float64 colorBarMinimum -500.0;
    String Grib2_Generating_Process_Type "Forecast";
    String Grib2_Level_Desc "Ground or water surface";
    Int32 Grib2_Level_Type 1;
    Int32 Grib2_Parameter 0, 4, 8;
    String Grib2_Parameter_Category "Short wave radiation";
    String Grib2_Parameter_Discipline "Meteorological products";
    String Grib2_Parameter_Name "Upward short-wave radiation flux";
    String Grib2_Statistical_Process_Type "UnknownStatType--1";
    String Grib_Variable_Id "VAR_0-4-8_L1";
    String ioos_category "Optical Properties";
    String long_name "Upward short-wave radiation flux @ Ground or water surface";
    Float32 missing_value NaN;
    String units "W.m-2";
  }
  Visibility_surface {
    String abbreviation "VIS";
    String Grib2_Generating_Process_Type "Forecast";
    String Grib2_Level_Desc "Ground or water surface";
    Int32 Grib2_Level_Type 1;
    Int32 Grib2_Parameter 0, 19, 0;
    String Grib2_Parameter_Category "Physical atmospheric Properties";
    String Grib2_Parameter_Discipline "Meteorological products";
    String Grib2_Parameter_Name "Visibility";
    String Grib2_Statistical_Process_Type "UnknownStatType--1";
    String Grib_Variable_Id "VAR_0-19-0_L1";
    String ioos_category "Meteorology";
    String long_name "Visibility @ Ground or water surface";
    Float32 missing_value NaN;
    String units "m";
  }
  Water_temperature_surface {
    String abbreviation "WTMP";
    Float64 colorBarMaximum 305.0;
    Float64 colorBarMinimum 273.0;
    String Grib2_Generating_Process_Type "Forecast";
    String Grib2_Level_Desc "Ground or water surface";
    Int32 Grib2_Level_Type 1;
    Int32 Grib2_Parameter 10, 3, 0;
    String Grib2_Parameter_Category "Surface Properties";
    String Grib2_Parameter_Discipline "Oceanographic products";
    String Grib2_Parameter_Name "Water temperature";
    String Grib2_Statistical_Process_Type "UnknownStatType--1";
    String Grib_Variable_Id "VAR_10-3-0_L1";
    String ioos_category "Temperature";
    String long_name "Water temperature @ Ground or water surface";
    Float32 missing_value NaN;
    String standard_name "sea_water_temperature";
    String units "K";
  }
  Wind_speed_gust_surface {
    String abbreviation "GUST";
    Float64 colorBarMaximum 30.0;
    Float64 colorBarMinimum 0.0;
    String Grib2_Generating_Process_Type "Forecast";
    String Grib2_Level_Desc "Ground or water surface";
    Int32 Grib2_Level_Type 1;
    Int32 Grib2_Parameter 0, 2, 22;
    String Grib2_Parameter_Category "Momentum";
    String Grib2_Parameter_Discipline "Meteorological products";
    String Grib2_Parameter_Name "Wind speed (gust)";
    String Grib2_Statistical_Process_Type "UnknownStatType--1";
    String Grib_Variable_Id "VAR_0-2-22_L1";
    String ioos_category "Wind";
    String long_name "Wind speed (gust) @ Ground or water surface";
    Float32 missing_value NaN;
    String standard_name "wind_speed_of_gust";
    String units "m/s";
  }
  NC_GLOBAL {
    String Analysis_or_forecast_generating_process_identifier_defined_by_originating_centre "WRF-EM model, generic resolution (Used in various runs) EM - Eulerian Mass-core (NCAR - aka Advanced Research WRF)";
    String cdm_data_type "Grid";
    String Conventions "CF-1.10, COARDS, ACDD-1.3";
    String creator_name "Consorzio LaMMA";
    String creator_type "institution";
    String creator_url "https://www.lamma.toscana.it/";
    String file_format "GRIB-2";
    String GRIB_table_version "2,1";
    Float64 grid_mapping_earth_radius 6371229.0;
    Float64 grid_mapping_latitude_of_projection_origin 43.42166519165039;
    Float64 grid_mapping_longitude_of_central_meridian 11.0;
    String grid_mapping_name "lambert_conformal_conic";
    Float64 grid_mapping_standard_parallel 43.42166519165039, 37.21343994140625;
    String history 
"Read using CDM IOSP GribCollection v3
2026-05-15T23:53:03Z (local files)
2026-05-15T23:53:03Z https://erddap.lamma.toscana.it/erddap/griddap/lmaG2s2026051506.das";
    String infoUrl "https://www.lamma.toscana.it/";
    String institution "Consorzio LaMMA";
    String keywords "altitude, amount, area, atmosphere, atmospheric, available, bottom, bottom character, boundary, centers, character, cloud, cloud cover, cloud_area_fraction, cloudiness, clouds, content, convective, Convective_available_potential_energy_surface, Convective_inhibition_surface, cover, data, downward, Downward_long-wave_radiation_flux_surface, Downward_short-wave_radiation_flux_surface, earth, Earth Science > Atmosphere > Altitude > Geopotential Height, Earth Science > Atmosphere > Atmospheric Water Vapor > Precipitable Water, Earth Science > Atmosphere > Atmospheric Water Vapor > Water Vapor, Earth Science > Atmosphere > Atmospheric Water Vapor > Water Vapor Profiles, Earth Science > Atmosphere > Atmospheric Winds > Surface Winds, Earth Science > Atmosphere > Clouds > Cloud Amount/Frequency, Earth Science > Oceans > Ocean Temperature > Water Temperature, Earth Science > Oceans > Sea Surface Topography > Sea Surface Height, energy, entire, environmental, flux, fraction, frequency, geopotential, geopotential_height, Geopotential_height_surface, Geopotential_height_zeroDegC_isotherm, ground, gust, height, high, High_cloud_cover_high_cloud, hydrology, inhibition, isotherm, layer, level, local, long, long-wave, low, Low_cloud_cover_low_cloud, mean, medium, Medium_cloud_cover_middle_cloud, meteorology, middle, msl, national, ncep, ocean, oceans, optical, optical properties, planetary, Planetary_boundary_layer_height_surface, potential, precipitable, Precipitable_water_entire_atmosphere_single_layer, prediction, pressure, Pressure_reduced_to_MSL_msl, profiles, properties, radiation, reduced, science, sea, sea level, sea_surface_height, sea_water_temperature, seawater, short, short-wave, source, speed, surface, temperature, Temperature_surface, time, topography, total, Total_cloud_cover_entire_atmosphere, upward, Upward_long-wave_radiation_flux_surface, Upward_short-wave_radiation_flux_surface, vapor, visibility, Visibility_surface, water, water_content_of_atmosphere_layer, Water_temperature_surface, wave, wind, Wind_speed_gust_surface, wind_speed_of_gust, winds";
    String keywords_vocabulary "GCMD Science Keywords";
    String license 
"The data may be used and redistributed for free but is not intended
for legal use, since it may contain inaccuracies. Neither the data
Contributor, ERD, NOAA, nor the United States Government, nor any
of their employees or contractors, makes any warranty, express or
implied, including warranties of merchantability and fitness for a
particular purpose, or assumes any legal liability for the accuracy,
completeness, or usefulness, of this information.";
    String Originating_or_generating_Center "US National Weather Service, National Centres for Environmental Prediction (NCEP)";
    String Originating_or_generating_Subcenter "0";
    String sourceUrl "(local files)";
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "Consorzio LaMMA WRF d01 GRIB2 forecast surface and single-layer fields for run 2026051506.";
    String testOutOfDate "now+1day";
    String time_coverage_end "2026-05-17T06:00:00Z";
    String time_coverage_start "2026-05-15T07:00:00Z";
    String title "Consorzio LaMMA WRF d01 GRIB2 surface fields - run 2026051506";
    String Type_of_generating_process "Forecast";
  }
}

 

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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.