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Dataset Title:  EMODnet - Regional sea level trends are derived from the DUACS delayed-
time (DT-2018 version) altimeter gridded maps of sea level anomalies based on a
stable number of altimeters (two) in the satellite constellation
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Institution:  CLS, CNES   (Dataset ID: EMODNET_SEA_LEVEL_199301_201812_TREND)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Make a graph
 
Dimensions ? Start ? Stride ? Stop ?  Size ?    Spacing ?
 time (UTC) ?      1    (just one value)
  < slider >
 latitude (degrees_north) ?      720    0.25 (even)
  < slider >
 longitude (degrees_east) ?      1440    0.25 (even)
  < slider >
 
Grid Variables (which always also download all of the dimension variables)
 sla (Sea level anomaly, mm/yr) ?

File type: (more info)

(Documentation / Bypass this form) ?
 
(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 1.5449184e+9, 1.5449184e+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 -89.875, 89.875;
    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 0.125, 359.875;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  sla {
    Float64 _FillValue -2.147483647e+9;
    String cell_methods "time: mean";
    Float64 colorBarMaximum 2.0;
    Float64 colorBarMinimum -2.0;
    String comment "The sea level anomaly is the sea surface height above mean sea surface; it is referenced to the [1993, 2012] period; see the product user manual for details";
    String grid_mapping "crs";
    String long_name "Sea level anomaly";
    Float64 missing_value -2.147483647e+9;
    String standard_name "sea_surface_height_above_sea_level";
    String units "mm/yr";
  }
  NC_GLOBAL {
    String cdm_data_type "Grid";
    String Conventions "CF-1.6, COARDS, ACDD-1.3";
    Float64 Easternmost_Easting 359.875;
    Float64 geospatial_lat_max 89.875;
    Float64 geospatial_lat_min -89.875;
    Float64 geospatial_lat_resolution 0.25;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 359.875;
    Float64 geospatial_lon_min 0.125;
    Float64 geospatial_lon_resolution 0.25;
    String geospatial_lon_units "degrees_east";
    String history 
"2020-10-28T23:57:54Z (local files)
2020-10-28T23:57:54Z https://erddap.emodnet-physics.eu/erddap/griddap/EMODNET_SEA_LEVEL_199301_201812_TREND.das";
    String infoUrl "http://climate.copernicus.eu";
    String institution "CLS, CNES";
    String keywords "above, anomaly, centre, cls, cnes, collecte, data, derived, duacs, earth, Earth Science > Oceans > Ocean Topography > Sea Surface Height, Earth Science > Oceans > Sea Surface Topography > Sea Surface Height, emodnet, etudes, global, gridded, height, L4, latitude, level, localisation, longitude, merged, national, ocean, oceans, product, satellites, science, sea, sea_surface_height_above_sea_level, sla, spatiales, ssalto, ssh, surface, time, topography, two";
    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 NCO "netCDF Operators version 4.9.2 (Homepage = http://nco.sf.net, Code = https://github.com/nco/nco)";
    Float64 Northernmost_Northing 89.875;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing -89.875;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary "SSALTO/DUACS Delayed-Time Level-4 sea surface height and derived variables measured by multi-satellite altimetry observations over Global Ocean.";
    String time_coverage_end "2018-12-16T00:00:00Z";
    String time_coverage_start "2018-12-16T00:00:00Z";
    String title "EMODnet - Regional sea level trends are derived from the DUACS delayed-time (DT-2018 version) altimeter gridded maps of sea level anomalies based on a stable number of altimeters (two) in the satellite constellation";
    Float64 Westernmost_Easting 0.125;
  }
}

 

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.

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.


 
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