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Dataset Title:  SeaDataNet - North Sea Temperature Climatology (SDC NAT CLIM TS V1 050 m), 0.
5°, 1955-2014
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Institution:  SeaDataNet   (Dataset ID: SDC_NS_CLIM_TS_V1_m)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Data Access Form
 
Graph Type:  ?
X Axis:  ?
Y Axis:  ?
Color:  ?
 
Dimensions ?    Start ?    Stop ?
time (UTC) ?     specify just 1 value →
    |< -
< <
depth (m) ?     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 {
    String _CoordinateAxisType "Time";
    Float64 actual_range 4.430592e+8, 4.720032e+8;
    String axis "T";
    String calendar "standard";
    String climatology "climatology_bounds";
    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";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float64 actual_range 0.0, 700.0;
    String axis "Z";
    String ioos_category "Location";
    String long_name "Depth";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 actual_range 48.5, 62.0;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 actual_range -4.0, 10.0;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  Temperature {
    Float32 _FillValue 9.96921e+36;
    String cell_methods "time: mean within years time: mean over years";
    Float64 colorBarMaximum 32.0;
    Float64 colorBarMinimum 0.0;
    String long_name "sea water temperature";
    Float32 missing_value 9.96921e+36;
    String standard_name "sea_water_temperature";
    String units "degree_C";
  }
  Temperature_L1 {
    Float32 _FillValue 9.96921e+36;
    Float64 colorBarMaximum 5.0;
    Float64 colorBarMinimum 0.0;
    String long_name "sea water temperature masked using relative error threshold 0.3";
    Float32 missing_value 9.96921e+36;
    String standard_name "sea_water_temperature";
    String units "degree_C";
  }
  Temperature_L2 {
    Float32 _FillValue 9.96921e+36;
    Float64 colorBarMaximum 5.0;
    Float64 colorBarMinimum 0.0;
    String long_name "sea water temperature masked using relative error threshold 0.5";
    Float32 missing_value 9.96921e+36;
    String standard_name "sea_water_temperature";
    String units "degree_C";
  }
  Temperature_relerr {
    Float32 _FillValue 9.96921e+36;
    Float64 colorBarMaximum 0.1;
    Float64 colorBarMinimum 0.0;
    String long_name "Relative error of sea water temperature";
    Float32 missing_value 9.96921e+36;
    String units "1";
    Float32 valid_max 1.0;
    Float32 valid_min 0.0;
  }
  Salinity {
    Float32 _FillValue 9.96921e+36;
    String cell_methods "time: mean within years time: mean over years";
    Float64 colorBarMaximum 37.0;
    Float64 colorBarMinimum 32.0;
    String long_name "sea water salinity";
    Float32 missing_value 9.96921e+36;
    String standard_name "sea_water_practical_salinity";
    String units "PSU";
  }
  Salinity_L1 {
    Float32 _FillValue 9.96921e+36;
    Float64 colorBarMaximum 0.1;
    Float64 colorBarMinimum 0.0;
    String long_name "sea water salinity masked using relative error threshold 0.3";
    Float32 missing_value 9.96921e+36;
    String standard_name "sea_water_practical_salinity";
    String units "PSU";
  }
  Salinity_L2 {
    Float32 _FillValue 9.96921e+36;
    Float64 colorBarMaximum 0.1;
    Float64 colorBarMinimum 0.0;
    String long_name "sea water salinity masked using relative error threshold 0.5";
    Float32 missing_value 9.96921e+36;
    String standard_name "sea_water_practical_salinity";
    String units "PSU";
  }
  Salinity_relerr {
    Float32 _FillValue 9.96921e+36;
    Float64 colorBarMaximum 0.1;
    Float64 colorBarMinimum 0.0;
    String long_name "Relative error of sea water salinity";
    Float32 missing_value 9.96921e+36;
    String units "1";
    Float32 valid_max 1.0;
    Float32 valid_min 0.0;
  }
  NC_GLOBAL {
    String area_keywords "North Sea";
    String area_keywords_urn "SDN:C19::1_2";
    String Author_e_mail "Serge Scory <sscory@naturalsciences.be>, Charles Troupin <ctroupin@uliege.be>";
    String bathymetry_source "The GEBCO Digital Atlas published by the British Oceanographic Data Centre on behalf of IOC and IHO, 2003";
    String cdm_data_type "Grid";
    String comment "Merged dataset";
    String Conventions "CF-1.6, COARDS, ACDD-1.3";
    String creator_name "Royal Belgian Institute of Natural Sciences, Operational Directorate Natural Environment, Belgian Marine Data Centre";
    String creator_url "https://wwz.ifremer.fr/";
    String data_access "http://sdn.oceanbrowser.net/data/SeaDataCloud-domains";
    String date "2019-07-18T15:42:55";
    String documentation "https://dx.doi.org/doi_of_doc";
    Float64 Easternmost_Easting 10.0;
    String file_name "./NorthSea/output/Water_body_Temperature_NorthSea.4Danl_monthly_merged.nc";
    Float64 geospatial_lat_max 62.0;
    Float64 geospatial_lat_min 48.5;
    Float64 geospatial_lat_resolution 0.125;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 10.0;
    Float64 geospatial_lon_min -4.0;
    Float64 geospatial_lon_resolution 0.125;
    String geospatial_lon_units "degrees_east";
    String history 
"Observational data from SeaDataNet and World Ocean Database
2024-11-12T09:59:01Z (local files)
2024-11-12T09:59:01Z https://erddap.ifremer.fr/erddap/griddap/SDC_NS_CLIM_TS_V1_m.das
2024-12-04T04:06:41Z https://erddap.ifremer.fr/erddap/griddap/SDC_NS_CLIM_TS_V1_m
2024-12-04T04:06:41Z http://erddap.emodnet-physics.eu/griddap/SDC_NS_CLIM_TS_V1_m.das";
    String infoUrl "https://doi.org/10.13155/57330";
    String institution "SeaDataNet";
    String institution_urn "SDN:EDMO::3330";
    String keywords "analysis, belgian, centre, clim, climatology, data, density, depth, directorate, diva, earth, Earth Science > Oceans > Ocean Temperature > Water Temperature, Earth Science > Oceans > Salinity/Density > Salinity, environment, error, institute, latitude, longitude, marine, masked, month, monthly, natural, northsea, ocean, oceans, operational, practical, relative, royal, salinity, Salinity_L1, Salinity_L2, Salinity_relerr, science, sciences, sdc, sea, sea_water_practical_salinity, sea_water_temperature, seadatanet, seawater, temperature, temperature_l1, temperature_l2, temperature_relerr, threshold, time, using, water";
    String keywords_vocabulary "GCMD Science Keywords";
    String license 
"The data may be used and redistributed for free but is not intended
for legal use, since it may contain inaccuracies. Neither the data
Contributor, ERD, NOAA, nor the United States Government, nor any
of their employees or contractors, makes any warranty, express or
implied, including warranties of merchantability and fitness for a
particular purpose, or assumes any legal liability for the accuracy,
completeness, or usefulness, of this information.";
    Float64 Northernmost_Northing 62.0;
    String parameter_keyword "ITS-90 water temperature";
    String parameter_keyword_urn "SDN:P35::WATERTEMP";
    String product_code "something-to-decide";
    String product_id "f2ac552e-a961-11e9-3e11-c1c0caedec83";
    String product_version "1.0";
    String production "DIVA group";
    String project "SeaDataCloud";
    String search_keywords "Temperature of the water column";
    String search_keywords_urn "SDN:P02::TEMP";
    String source "Observational data from SeaDataNet and World Ocean Database";
    String sourceUrl "https://erddap.ifremer.fr/erddap/griddap/SDC_NS_CLIM_TS_V1_m";
    Float64 Southernmost_Northing 48.5;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "Merged dataset. Royal Belgian Institute of Natural Sciences, Operational Directorate Natural Environment, Belgian Marine Data Centre data from a local source.";
    String time_coverage_end "1984-12-16T00:00:00Z";
    String time_coverage_start "1984-01-16T00:00:00Z";
    String title "SeaDataNet - North Sea Temperature Climatology (SDC NAT CLIM TS V1 050 m), 0.5°, 1955-2014";
    String WEB_visualisation "http://sdn.oceanbrowser.net/web-vis/";
    Float64 Westernmost_Easting -4.0;
  }
}

 

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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