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Dataset Title:  EMODPACE - Monthly sea level derived from CMEMS-DUACS (DT-2018) satellite
altimetry (1993-2019)
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Institution:  CMCC   (Dataset ID: EMODPACE_SLEV_MONTHLY_MEAN_DESEASONALIZED)
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.)
 
Optional:
Then set the File Type: (File Type information)
and
or view the URL:
(Documentation / Bypass this form ? )
    Click on the map to specify a new center point. ?
Zoom:
[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";
  }
  NC_GLOBAL {
    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
2022-07-07T05:36:38Z (local files)
2022-07-07T05:36:38Z 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
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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