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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_201910_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 1.5704928e+9, 1.5704928e+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 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 comment "Sea Surface Height measured by Altimetry and derived variables";
    String contact "http://climate.copernicus.eu/c3s-user-service-desk";
    String Conventions "CF-1.6, COARDS, ACDD-1.3";
    String creator_email "http://climate.copernicus.eu/c3s-user-service-desk";
    String creator_name "Copernicus Climate Change Service (C3S)";
    String creator_url "http://climate.copernicus.eu";
    String date_created "2019-01-24T16:52:35Z";
    String date_issued "2019-01-24T16:52:35Z";
    String date_modified "2019-01-24T16:52:35Z";
    Float64 Easternmost_Easting 359.875;
    String frequency "mon";
    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 
"2020-09-21T05:31:47Z (local files)
2020-09-21T05:31:47Z https://erddap.emodnet-physics.eu/erddap/griddap/EMODNET_SEA_LEVEL_199301_201910_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 "http://climate.copernicus.eu/c3s-user-service-desk";
    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 platform "ERS-1, Topex/Poseidon,";
    String processing_level "L4";
    String product_version "2019";
    String project "Copernicus Climate Change Service (C3S)";
    String references "http://climate.copernicus.eu";
    String software_version "6.2_DUACS_DT2018_baseline";
    String source "Altimetry measurements";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing -89.875;
    String ssalto_duacs_comment "The reference mission used for the altimeter inter-calibration processing is Topex/Poseidon between 1993-01-01 and 2002-04-23, Jason-1 between 2002-04-24 and 2008-10-18, OSTM/Jason-2 between 2008-10-19 and 2016-06-25, Jason-3 since 2016-06-25.";
    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_duration "P1D";
    String time_coverage_end "2019-10-08T00:00:00Z";
    String time_coverage_resolution "P1D";
    String time_coverage_start "2019-10-08T00:00:00Z";
    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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