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Dataset Title:  EMODPACE - Absolute sea level trend (1993 – 2019) - derived from CMEMS-
DUACS (DT-2018) satellite altimetry
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Institution:  CMCC   (Dataset ID: EMODPACE_SLEV_TREND)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Files | Make a graph
 
Dimensions ? Start ? Stride ? Stop ?  Size ?    Spacing ?
 time (UTC) ?      1    (just one value)
  < slider >
 latitude (degrees_north) ?      208    0.25 (even)
  < slider >
 longitude (degrees_east) ?      400    0.25 (even)
  < slider >
 
Grid Variables (which always also download all of the dimension variables) 
 sla (Sea level anomaly, mm/yr) ?

File type: (more information)

(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 {
    Int32 _ChunkSizes 512;
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.5764544e+9, 1.5764544e+9;
    String axis "T";
    String bounds "time_bnds";
    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 -6.875, 44.875;
    String axis "Y";
    String bounds "latitude_bnds";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range 30.125, 129.875;
    String axis "X";
    String bounds "longitude_bnds";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  sla {
    Int32 _ChunkSizes 1, 1, 400;
    Float64 _FillValue -214748.3647;
    String cell_methods "time: mean";
    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 -214748.3647;
    String standard_name "sea_surface_height_above_sea_level";
    String units "mm/yr";
  }
  NC_GLOBAL {
    String _NCProperties "version=2,netcdf=4.7.4,hdf5=1.10.6";
    String cdm_data_type "Grid";
    String creator_name "CLS, CNES";
    Float64 Easternmost_Easting 129.875;
    Float64 geospatial_lat_max 44.875;
    Float64 geospatial_lat_min -6.875;
    Float64 geospatial_lat_resolution 0.25;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 129.875;
    Float64 geospatial_lon_min 30.125;
    Float64 geospatial_lon_resolution 0.25;
    String geospatial_lon_units "degrees_east";
    String history 
"Wed Oct 27 15:01:58 2021: C:\\ETT\\nco\\ncks.exe -d latitude,-7.0,+45.0 -d longitude,+30.0,+130.0 dt_global_twosat_phy_l4_trend_199301_201912_vDT2018.nc -O EMODNET_PACE_SEA_LEVEL_199301_201812_TREND.nc
Thu Dec 17 19:13:46 2020: ncatted -a ,global,d,, /Users/rlecci/Documents/EMOD_PACE/tmp/data/trend/dt_global_twosat_phy_l4_trend_199301_201912_vDT2018.nc
2022-07-04T02:18:25Z (local files)
2022-07-04T02:18:25Z https://erddap.emodnet-physics.eu/erddap/griddap/EMODPACE_SLEV_TREND.das";
    String infoUrl "http://climate.copernicus.eu";
    String institution "CMCC";
    String keywords "above, altimeter, altimeters, anomalies, anomaly, based, centre, cls, cnes, collecte, constellation, data, delayed, delayed-time, derived, dt-2018, duacs, earth, Earth Science > Oceans > Ocean Topography > Sea Surface Height, Earth Science > Oceans > Sea Surface Topography > Sea Surface Height, emodnet, emodnet_pace, etudes, global, gridded, height, L4, latitude, level, localisation, longitude, maps, merged, national, number, ocean, oceans, pace, product, regional, satellite, satellites, science, sea, sea_surface_height_above_sea_level, sla, spatiales, ssalto, ssh, stable, surface, time, topography, trends, two, version";
    String license "Creative Commons Attribution Share-Alike http://www.opendefinition.org/licenses/cc-by-sa";
    String NCO "\"4.6.3\"";
    Float64 Northernmost_Northing 44.875;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing -6.875;
    String summary "EMODPACE - Absolute sea level trend (1993 – 2019) - derived from CMEMS-DUACS (DT-2018) satellite altimetry";
    String time_coverage_end "2019-12-16T00:00:00Z";
    String time_coverage_start "2019-12-16T00:00:00Z";
    String title "EMODPACE - Absolute sea level trend (1993 – 2019) - derived from CMEMS-DUACS (DT-2018) satellite altimetry";
    Float64 Westernmost_Easting 30.125;
  }
}

 

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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