Easier access to scientific data
Brought to you by
|
|
ERDDAP
Easier access to scientific data |
Brought to you by |
| Dataset Title: | 5 days 10 km resolution forecast over Southern Europe and Mediterranean basin (01) 
|
| Institution: | UNIGE-DICCA (Dataset ID: unige-dicca_forecast_fat_10km_01) |
| Information: | Summary
| License
| Metadata
| Background
| Files
| Make a graph
|
Attributes {
time {
String _CoordinateAxisType "Time";
Float64 actual_range 1.7750916e+9, 1.77552e+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 {
String _CoordinateAxisType "GeoY";
Float32 actual_range -1339.517, 1340.483;
String long_name "Projection Y Coordinate";
String standard_name "projection_y_coordinate";
String units "km";
}
x {
String _CoordinateAxisType "GeoX";
Float32 actual_range -2289.067, 2290.933;
String long_name "Projection X Coordinate";
String standard_name "projection_x_coordinate";
String units "km";
}
Convective_precipitation_surface_Mixed_intervals_Accumulation {
String abbreviation "ACPCP";
Float64 colorBarMaximum 200.0;
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, 1, 10;
String Grib2_Parameter_Category "Moisture";
String Grib2_Parameter_Discipline "Meteorological products";
String Grib2_Parameter_Name "Convective precipitation";
String Grib_Statistical_Interval_Type "Accumulation";
String Grib_Variable_Id "VAR_0-1-10_L1_Imixed_S1";
String long_name "Convective precipitation (Mixed_intervals Accumulation) @ Ground or water surface";
Float32 missing_value NaN;
String units "kg.m-2";
}
Evaporation_surface_Mixed_intervals_Accumulation {
String abbreviation "EVP";
Float64 colorBarMaximum 1.0e-4;
Float64 colorBarMinimum -1.0e-4;
String Grib2_Generating_Process_Type "Forecast";
String Grib2_Level_Desc "Ground or water surface";
Int32 Grib2_Level_Type 1;
Int32 Grib2_Parameter 0, 1, 6;
String Grib2_Parameter_Category "Moisture";
String Grib2_Parameter_Discipline "Meteorological products";
String Grib2_Parameter_Name "Evaporation";
String Grib_Statistical_Interval_Type "Accumulation";
String Grib_Variable_Id "VAR_0-1-6_L1_Imixed_S1";
String long_name "Evaporation (Mixed_intervals Accumulation) @ Ground or water surface";
Float32 missing_value NaN;
String units "kg.m-2";
}
Total_precipitation_surface_Mixed_intervals_Accumulation {
String abbreviation "APCP";
Float64 colorBarMaximum 200.0;
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, 1, 8;
String Grib2_Parameter_Category "Moisture";
String Grib2_Parameter_Discipline "Meteorological products";
String Grib2_Parameter_Name "Total precipitation";
String Grib_Statistical_Interval_Type "Accumulation";
String Grib_Variable_Id "VAR_0-1-8_L1_Imixed_S1";
String long_name "Total precipitation (Mixed_intervals Accumulation) @ Ground or water surface";
Float32 missing_value NaN;
String units "kg.m-2";
}
NC_GLOBAL {
String cdm_data_type "Grid";
String contributors_email "meteocean.unige@gmail.com";
String contributors_name "MeteOcean research group";
String contributors_role "Research management";
String Conventions "COARDS, CF-1.6, ACDD-1.3";
String creator_email "francesco.ferrari@unige.it";
String creator_name "Ferrari, Francesco";
String creator_orcid "0000-0002-8752-993X";
String creator_type "person";
String creator_url "https://forecast.meteocean.science";
String data_doi "10.5281/zenodo.17572127";
String data_format_original "grib2";
String data_version "3.9.1";
String distribution "https://s4raise.it/dssmare/distributed_monitoring_system/, https://s4raise.it/dssmare/metocean_models/";
String documentation "https://s4raise.it/dssmare/distributed_monitoring/, https://s4raise.it/dssmare/metocean_models/, https://raise-spoke3.s4raise.it/project01";
String grid_mapping__CoordinateAxisTypes "GeoX GeoY";
String grid_mapping__CoordinateTransformType "Projection";
String grid_mapping_earth_radius "6367470.0";
String grid_mapping_latitude_of_projection_origin "40.0";
String grid_mapping_longitude_of_central_meridian "14.0";
String grid_mapping_name "lambert_conformal_conic";
String grid_mapping_standard_parallel "40.0";
String history
"2026-04-03T05:49:45Z (local files)
2026-04-03T05:49:45Z https://erddap.s4raise.it/erddap/griddap/unige-dicca_forecast_fat_10km_01.das";
String infoUrl "https://www.raiseliguria.it/spoke-3/";
String inspire "Oceanographic geographical features";
String institution "UNIGE-DICCA";
String institution_country "IT";
String keywords "Vorticity (858a80ff-5aa4-4590-b2e2-e88a802a6ee4)";
String keywords_vocabulary "GCMD Science Keywords";
String language "XML";
String license "CC-BY 4.0";
String maintainer "ETT S.p.A.";
String model_realtime "true";
String naming_authority "RAISE, Sindbad 2.0";
String owner "UNIGE-DICCA";
String owner_url "https://meteocean.science/";
String project_code "RAISE, Sindbad 2.0";
String project_id "ECS00000035,";
String project_name "Robotics and AI for Socio-economic Empowerment, Servizi per la Navigazione e Attività Marittime";
String project_statement "RAISE: Robotics and AI for Socio-economic Empowerment is an innovation ecosystem funded by the Ministry of University and Research under the National Recovery and Resilience Plan (NRRP, Mission 4, Component 2, Investment 1.5). Sindbad 2.0: Servizi per la Navigazione e Attività Marittime (Services for Navigation and Maritime Activities)";
String project_url "https://www.raiseliguria.it/, https://www.sindbad-liguria.it/";
String publisher "ETT S.p.A.";
String references "https://doi.org/10.1016/j.atmosres.2015.05.010, https://doi.org/10.1002/2016GL068265";
String source "WRF simulations initialized with GFS global model simulation";
String sourceUrl "(local files)";
String standard_name_vocabulary "CF Standard Name Table v70";
String summary "Hourly 3-dimensional atmospheric gridded data, with a temporal coverage of 5 day and a spatial resolution of 10 km. Data cover Southern Europe and Mediterranean basin.";
String testOutOfDate "now+4days";
String theme_eu_data "http://publications.europa.eu/resource/authority/data-theme/ENVI";
String theme_eurovoc "http://publications.europa.eu/resource/authority/eurovoc/100224";
String time_coverage_end "2026-04-07T00:00:00Z";
String time_coverage_resolution "automatically taken from data";
String time_coverage_start "2026-04-02T01:00:00Z";
String title "5 days 10 km resolution forecast over Southern Europe and Mediterranean basin (01)";
String visibility "public";
}
}
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.
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.