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ERDDAP |
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| Dataset Title: | AdriaClim Indicators | ERA5_Land | monthly | r95ptot
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| Institution: | CMCC (Dataset ID: ERA5_Land_23da_1106_4962) |
| Information: | Summary
| License
| FGDC
| ISO 19115
| Metadata
| Background
| Files
| Make a graph
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Attributes {
time {
String _CoordinateAxisType "Time";
Float64 actual_range -6.284772e+8, 1.6094556e+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";
Float32 actual_range 37.0, 47.0;
String axis "Y";
String ioos_category "Location";
String long_name "Latitude";
String standard_name "latitude";
String units "degrees_north";
}
longitude {
String _CoordinateAxisType "Lon";
Float32 actual_range 10.0, 22.0;
String axis "X";
String ioos_category "Location";
String long_name "Longitude";
String standard_name "longitude";
String units "degrees_east";
}
precipitation_percent_due_to_R95p_days {
Float32 _FillValue NaN;
Float64 colorBarMaximum 5.0;
Float64 colorBarMinimum 0.0;
String ioos_category "Statistics";
String long_name "Percentage of total precipitation amount per time period due to very_wet_days_wrt_95th_percentile_of_reference_period. The time period should be defined by the bounds of the time coordinate.";
Float32 missing_value NaN;
String units "Percent";
}
NC_GLOBAL {
String adriaclim_dataset "indicator";
String adriaclim_model "ERA5-Land";
String adriaclim_scale "adriatic";
String adriaclim_timeperiod "monthly";
String adriaclim_type "timeseries";
String CDI "Climate Data Interface version 1.9.8 (https://mpimet.mpg.de/cdi)";
String cdm_data_type "Grid";
String CDO "Climate Data Operators version 1.9.8 (https://mpimet.mpg.de/cdo)";
String Conventions "CF-1.6, COARDS, ACDD-1.3";
Float64 Easternmost_Easting 22.0;
Float64 geospatial_lat_max 47.0;
Float64 geospatial_lat_min 37.0;
Float64 geospatial_lat_resolution 0.1;
String geospatial_lat_units "degrees_north";
Float64 geospatial_lon_max 22.0;
Float64 geospatial_lon_min 10.0;
Float64 geospatial_lon_resolution 0.1;
String geospatial_lon_units "degrees_east";
String history
"2024-11-06T19:11:31Z (local files)
2024-11-06T19:11:31Z https://erddap-adriaclim.cmcc-opa.eu/erddap/griddap/ERA5_Land_23da_1106_4962.das";
String infoUrl "https://cmcc.it";
String institution "CMCC";
String keywords "95th, amount, bounds, coordinate, data, days, defined, due, latitude, local, longitude, per, percentage, percentile, period, precipitation, precipitation_percent_due_to_R95p_days, rain, rainfall, reference, source, statistics, time, total, very, wet, wrt";
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.";
Float64 Northernmost_Northing 47.0;
String sourceUrl "(local files)";
Float64 Southernmost_Northing 37.0;
String standard_name_vocabulary "CF Standard Name Table v70";
String summary "AdriaClim Indicators | ERA5_Land | monthly | r95ptot";
String time_coverage_end "2020-12-31T23:00:00Z";
String time_coverage_start "1950-01-31T23:00:00Z";
String title "AdriaClim Indicators | ERA5_Land | monthly | r95ptot";
Float64 Westernmost_Easting 10.0;
}
}
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.