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Dataset Title:  EMODnet Physics - Sea Level monthly mean, Global Oceans. This product is
based, uses and reprocess the CMEMS product id. SEALEVEL_GLO_PHY_CLIMATE_L4_REP_
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Institution:  CMCC - EMODnet Physics   (Dataset ID: EMODNET_SEA_LEVEL_MONTHLY_MEAN)
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 {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.5791328e+9, 1.6080768e+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 -179.875, 179.875;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  sla {
    Float64 _FillValue -214748.3647;
    String ancillary_variables "err_sla";
    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 -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 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 "2021-07-09T08:53:57Z";
    String date_issued "2021-07-09T08:53:57Z";
    String date_modified "2021-07-09T08:53:57Z";
    Float64 Easternmost_Easting 179.875;
    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 179.875;
    Float64 geospatial_lon_min -179.875;
    Float64 geospatial_lon_resolution 0.25;
    String geospatial_lon_units "degrees_east";
    String history 
"2024-06-19T03:31:17Z (local files)
2024-06-19T03:31:17Z https://erddap.emodnet-physics.eu/griddap/EMODNET_SEA_LEVEL_MONTHLY_MEAN.das";
    String infoUrl "http://climate.copernicus.eu";
    String institution "CMCC - EMODnet Physics";
    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 "vDec2021";
    String project "Copernicus Climate Change Service (C3S)";
    String references "http://climate.copernicus.eu";
    String software_version "7.0_DUACS_DT2021_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 "2020-12-16T00:00:00Z";
    String time_coverage_resolution "P1D";
    String time_coverage_start "2020-01-16T00:00:00Z";
    String title "EMODnet Physics - Sea Level monthly mean, Global Oceans. This product is based, uses and reprocess the CMEMS product id. SEALEVEL_GLO_PHY_CLIMATE_L4_REP_OBSERVATIONS_008_057";
    Float64 Westernmost_Easting -179.875;


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.

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