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Dataset Title:  EMODnet Physics - Arctic Sea Surface Temperature Climatology (1900-2014) -
GridSeriesObservation - based on the SeaDataNet aggregated dataset
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Institution:  Institute of Marine Research, Norwegian Marine Data Centre   (Dataset ID: EP_TDS_SDN_TEMP_XX_GR_CLI_ARCTIC)
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 →
    |< -
< <
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 -4.089312e+8, -3.800736e+8;
    String axis "T";
    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";
    Float32 actual_range 0.0, 1750.0;
    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";
    Float32 actual_range 65.0, 82.0;
    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 -40.0, 65.0;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  Temperature {
    Float32 _FillValue -9999.0;
    String cell_methods "time: mean (this month data from all years)";
    Float64 colorBarMaximum 40.0;
    Float64 colorBarMinimum -10.0;
    String long_name "Temperature";
    Float32 missing_value -9999.0;
    String units "degree_C";
    Float32 valid_max 15.0;
    Float32 valid_min -8.0;
  }
  Temperature_err {
    Float32 _FillValue -9999.0;
    Float64 colorBarMaximum 5.0;
    Float64 colorBarMinimum 0.0;
    String long_name "Error standard deviation of Temperature";
    Float32 missing_value -9999.0;
    String units "degree_C";
    Float32 valid_max 3.1;
    Float32 valid_min 0.0;
  }
  Temperature_L1 {
    Float32 _FillValue -9999.0;
    Float64 colorBarMaximum 5.0;
    Float64 colorBarMinimum 0.0;
    String long_name "Temperature masked using relative error threshold 0.3";
    Float32 missing_value -9999.0;
    String units "degree_C";
    Float32 valid_max 15.0;
    Float32 valid_min -8.0;
  }
  Temperature_L2 {
    Float32 _FillValue -9999.0;
    Float64 colorBarMaximum 5.0;
    Float64 colorBarMinimum 0.0;
    String long_name "Temperature masked using relative error threshold 0.5";
    Float32 missing_value -9999.0;
    String units "degree_C";
    Float32 valid_max 15.0;
    Float32 valid_min -8.0;
  }
  Temperature_relerr {
    Float32 _FillValue -9999.0;
    Float64 colorBarMaximum 50.0;
    Float64 colorBarMinimum 0.0;
    String long_name "Relative error of Temperature";
    Float32 missing_value -9999.0;
    Float32 valid_max 1.0;
    Float32 valid_min 0.0;
  }
  databins {
    Float32 _FillValue -9999.0;
    Float64 colorBarMaximum 100.0;
    Float64 colorBarMinimum 0.0;
    String long_name "Logarithm10 of number of data in bins";
    Float32 missing_value -9999.0;
    Float32 valid_max 3.4;
    Float32 valid_min 0.0;
  }
  outlbins {
    Float32 _FillValue -9999.0;
    Float64 colorBarMaximum 100.0;
    Float64 colorBarMinimum 0.0;
    String long_name "Logarithm10 of number of outliers data in bins";
    Float32 missing_value -9999.0;
    Float32 valid_max -9999.0;
    Float32 valid_min 0.0;
  }
  CLfield {
    Float32 _FillValue -9999.0;
    Float64 colorBarMaximum 4.0;
    Float64 colorBarMinimum 0.0;
    String long_name "Correlation length field";
    Float32 missing_value -9999.0;
    Float32 valid_max 3.5;
    Float32 valid_min 0.0;
  }
  NC_GLOBAL {
    String Author_e_mail "Helge.Sagen@imr.no";
    String cdm_data_type "Grid";
    String comment "No comment";
    String Conventions "CF-1.6, COARDS, ACDD-1.3";
    String creator_name "Institute of Marine Research, Norwegian Marine Data Centre";
    String data_access "GHER OPENDAB: http://gher-diva.phys.ulg.ac.be/data/";
    String date "2015-09-17 07:37:05.00";
    Float64 Easternmost_Easting 65.0;
    String file_name "../output/3Danalysis/Temperature.19002014.4Danl.nc";
    Float64 geospatial_lat_max 82.0;
    Float64 geospatial_lat_min 65.0;
    Float64 geospatial_lat_resolution 0.1;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 65.0;
    Float64 geospatial_lon_min -40.0;
    Float64 geospatial_lon_resolution 0.2;
    String geospatial_lon_units "degrees_east";
    String history 
"Data from SeaDataNetArcticProductV1.1
2022-08-10T01:36:16Z (local files)
2022-08-10T01:36:16Z https://erddap.emodnet-physics.eu/griddap/EP_TDS_SDN_TEMP_XX_GR_CLI_ARCTIC.das";
    String infoUrl "https://www.seadatanet.org/";
    String institution "Institute of Marine Research, Norwegian Marine Data Centre";
    String keywords "analysis, bins, centre, CLfield, correlation, data, databins, degrees, depth, deviation, diva, error, field, institute, length, logarithm10, marine, masked, norwegian, number, outlbins, outliers, relative, research, standard, temperature, Temperature_err, Temperature_L1, Temperature_L2, Temperature_relerr, threshold, time, using, year";
    String license "Creative Commons Attribution Share-Alike http://www.opendefinition.org/licenses/cc-by-sa";
    Float64 Northernmost_Northing 82.0;
    String product_id "0effef69-c932-47d7-8f2f-9d51d249f796";
    String production "Diva group. E-mails : Helge.Sagen@imr.no ; Oivind.Oestensen@imr.no";
    String project "SeaDataNetII: https://www.seadatanet.org/";
    String source "Data from SeaDataNetArcticProductV1.1";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 65.0;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary "No comment. Institute of Marine Research, Norwegian Marine Data Centre data from a local source.";
    String time_coverage_end "1957-12-16T00:00:00Z";
    String time_coverage_start "1957-01-16T00:00:00Z";
    String title "EMODnet Physics - Arctic Sea Surface Temperature Climatology (1900-2014) - GridSeriesObservation - based on the SeaDataNet aggregated dataset";
    String WEB_visualisation "http://gher-diva.phys.ulg.ac.be/web-vis/clim.html";
    Float64 Westernmost_Easting -40.0;
  }
}

 

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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