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Dataset Title:  EMODPACE - Monthly sea level derived from CMEMS-DUACS (DT-2018) satellite
altimetry (1993-2019)
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Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Data Access Form | Files
Graph Type:  ?
X Axis:  ?
Y Axis:  ?
Color:  ?
Dimensions ?    Start ?    Stop ?
time (UTC) ?     specify just 1 value →
    |< -
< <
latitude (degrees_north) ?
< slider >
longitude (degrees_east) ?
< slider >
Graph Settings
Color Bar:   Continuity:   Scale: 
   Minimum:   Maximum:   N Sections: 
Draw land mask: 
Y Axis Minimum:   Maximum:   
(Please be patient. It may take a while to get the data.)
Then set the File Type: (File Type information)
or view the URL:
(Documentation / Bypass this form ? )
    Click on the map to specify a new center point. ?
[The graph you specified. Please be patient.]


Things You Can Do With Your Graphs

Well, you can do anything you want with your graphs, of course. But some things you might not have considered are:

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
  time {
    Int32 _ChunkSizes 512;
    String _CoordinateAxisType "Time";
    Float64 actual_range 7.271424e+8, 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 "m";
    String _NCProperties "version=2,netcdf=4.7.4,hdf5=1.12.0,";
    String cdm_data_type "Grid";
    String creator_name "CLS, CNES";
    String creator_type "institution";
    String creator_url "http://climate.copernicus.eu";
    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 14:58:17 2021: C:\\ETT\\nco\\ncks.exe -d latitude,-7.0,+45.0 -d longitude,+30.0,+130.0 dt_global_twosat_phy_l4_deseasonalized_mm_199301_201912_vDT2018.nc -O EMODNET_PACE_SEA_LEVEL_MONTHLY_MEAN_DESEASONALIZED.nc
Thu Aug  5 10:21:38 2021: ncatted -a ,global,d,, /work/opa/das/Ree/EMOD-PACE/WP5/data/trend/dt_global_twosat_phy_l4_deseasonalized_mm_199301_201912_vDT2018.nc
2024-06-25T00:07:20Z (local files)
2024-06-25T00:07:20Z https://erddap.emodnet-physics.eu/griddap/EMODPACE_SLEV_MONTHLY_MEAN_DESEASONALIZED.das";
    String infoUrl "http://climate.copernicus.eu";
    String institution "CMCC";
    String keywords "above, anomaly, centre, climate, cls, cmems, cnes, collecte, data, derived, deseasonalized, duacs, earth, Earth Science > Oceans > Sea Surface Topography > Sea Surface Height, emodnet, emodnet_pace, etudes, glo, global, gridded, height, L4, latitude, level, local, localisation, longitude, mean, merged, month, monthly, national, observations, ocean, oceans, pace, phy, product, rep, satellites, science, sea, sea_surface_height_above_sea_level, sealevel, sla, source, spatiales, ssalto, ssh, surface, time, topography, two";
    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 - Monthly sea level derived from CMEMS-DUACS (DT-2018) satellite altimetry (1993-2019)";
    String time_coverage_end "2019-12-16T00:00:00Z";
    String time_coverage_start "1993-01-16T00:00:00Z";
    String title "EMODPACE - Monthly sea level derived from CMEMS-DUACS (DT-2018) satellite altimetry (1993-2019)";
    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
For example,
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.

ERDDAP, Version 2.17
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