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Dataset Title:  VIIRS Suomi NPP 8-Day 750 m Composite Northwest Atlantic Subscribe RSS
Institution:  ???   (Dataset ID: VIIRS_NWATL_8day)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Make a graph
 
Dimensions ? Start ? Stride ? Stop ?  Size ?    Spacing ?
 time (UTC) ?      1    (just one value)
  < slider >
 latitude (degrees_north) ?      4500    0.008 (uneven)
  < slider >
 longitude (degrees_east) ?      5000    0.01 (uneven)
  < slider >
 
Grid Variables (which always also download all of the dimension variables) 
 chl_oc3 (Chlorophyll Concentration, OC3 Algorithm, mg m^-3) ?
 sst (Sea Surface Temperature, DegreesC) ?

File type: (more information)

(Documentation / Bypass this form) ?
 
(Please be patient. It may take a while to get the data.)


 

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
  time {
    UInt32 _ChunkSizes 1024;
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.761609599e+9, 1.761609599e+9;
    String axis "T";
    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";
    Float64 actual_range 16.007999420166016, 52.0;
    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 -100.0, -50.0099983215332;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  chl_oc3 {
    UInt32 _ChunkSizes 1, 900, 1000;
    Float32 _FillValue -999.0;
    Float64 colorBarMaximum 30.0;
    Float64 colorBarMinimum 0.03;
    String colorBarScale "Log";
    String ioos_category "Ocean Color";
    String long_name "Chlorophyll Concentration, OC3 Algorithm";
    String standard_name "concentration_of_chlorophyll_in_sea_water";
    String units "mg m^-3";
  }
  sst {
    UInt32 _ChunkSizes 1, 900, 1000;
    Float32 _FillValue -999.0;
    Float64 colorBarMaximum 32.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Temperature";
    String long_name "Sea Surface Temperature";
    String standard_name "sea_surface_temperature";
    String units "DegreesC";
  }
  NC_GLOBAL {
    String _NCProperties "version=2,netcdf=4.9.2,hdf5=1.14.5";
    String cdm_data_type "Grid";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    Float64 Easternmost_Easting -50.0099983215332;
    Float64 geospatial_lat_max 52.0;
    Float64 geospatial_lat_min 16.007999420166016;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -50.0099983215332;
    Float64 geospatial_lon_min -100.0;
    String geospatial_lon_units "degrees_east";
    String history 
"2025-10-31T06:50:48Z (local files)
2025-10-31T06:50:48Z http://basin.ceoe.udel.edu/erddap/griddap/VIIRS_NWATL_8day.das";
    String infoUrl "???";
    String institution "???";
    String keywords "algorithm, chemistry, chl_oc3, chlorophyll, color, concentration, concentration_of_chlorophyll_in_sea_water, data, earth, Earth Science > Oceans > Ocean Chemistry > Chlorophyll, Earth Science > Oceans > Ocean Temperature > Sea Surface Temperature, local, oc3, ocean, ocean color, oceans, science, sea, sea_surface_temperature, seawater, source, sst, surface, temperature, time, 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 52.0;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 16.007999420166016;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "VIIRS Suomi NPP 8-Day 750 m Composite Northwest Atlantic";
    String time_coverage_end "2025-10-27T23:59:59Z";
    String time_coverage_start "2025-10-27T23:59:59Z";
    String title "VIIRS Suomi NPP 8-Day 750 m Composite Northwest Atlantic";
    Float64 Westernmost_Easting -100.0;
  }
}

 

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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