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Dataset Title:  Sardine Potential Habitat V.3.0, NOAA Gap-Filled Data, Near Real-Time, US West
Coast, 2012-present, Daily
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Institution:  NOAA/NMFS/SWFSC/FRD   (Dataset ID: sardine_habitat_gapfilled)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Data Access Form
 
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Y Axis:  ?
Color:  ?
 
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Color Bar:   Continuity:   Scale: 
   Minimum:   Maximum:   N Sections: 
Draw land mask: 
Y Axis Minimum:   Maximum:   
 
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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 1.6225308e+9, 1.6330716e+9;
    String axis "T";
    String calendar "gregorian";
    String coverage_content_type "coordinate";
    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 24.04166, 51.04166;
    String axis "Y";
    String coverage_content_type "coordinate";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 actual_range -129.9583, -111.0417;
    String axis "X";
    String coverage_content_type "coordinate";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  chlorophyll {
    Float32 _FillValue -99999.0;
    String cell_methods "time: mean (interval: 8.0 day)";
    Float64 colorBarMaximum 30.0;
    Float64 colorBarMinimum 0.03;
    String colorBarScale "Log";
    String comment "Chlorophyll from NOAA CoastWatch Gap-Filled data using SNPP and N-20 sensors";
    String coordsys "geographic";
    String coverage_content_type "physicalMeasurement";
    Int32 fraction_digits 2;
    String ioos_category "Ocean Color";
    String long_name "Chlorophyll Concentration from Gap-Filled VIIRS data";
    Float32 missing_value -99999.0;
    String standard_name "concentration_of_chlorophyll_in_sea_water";
    String units "mg m-3";
  }
  sst {
    Float32 _FillValue -99999.0;
    String cell_methods "time: mean (interval: 8.0 day)";
    Float64 colorBarMaximum 32.0;
    Float64 colorBarMinimum 0.0;
    String comment "SST from NOAA CoastWatch GeoPolar blended data";
    String coordsys "geographic";
    String coverage_content_type "physicalMeasurement";
    Int32 fraction_digits 1;
    String ioos_category "Temperature";
    String long_name "Sea Surface Temperature";
    Float32 missing_value -99999.0;
    String standard_name "sea_surface_temperature";
    String units "degree_C";
  }
  potential_habitat {
    Float32 _FillValue -99999.0;
    Float64 colorBarMaximum 1.0;
    Float64 colorBarMinimum 0.0;
    String comment "This model result is based on VIIRS satellite data";
    String coordsys "geographic";
    String coverage_content_type "modelResult";
    Int32 fraction_digits 2;
    String ioos_category "Fish Abundance";
    String long_name "Sardine Potential Habitat - Gap-filled";
    Float32 missing_value -99999.0;
    String units "1";
  }
  potential_habitat_mask {
    Byte _FillValue -1;
    String _Unsigned "false";
    String colorBarContinuous "false";
    Float64 colorBarMaximum 8.0;
    Float64 colorBarMinimum 0.0;
    Int32 colorBarNSections 4;
    String colorBarPalette "Rainbow2";
    String comment "displays descriptive habitat ranges";
    String coordsys "geographic";
    String coverage_content_type "thematicClassification";
    String flag_meanings "Unsuitable Bad Good Optimal";
    Byte flag_values 1, 3, 5, 7;
    String ioos_category "Fish Abundance";
    String long_name "Qualitative Map of Sardine Habitat - Gap-filled";
    Byte missing_value -1;
  }
  NC_GLOBAL {
    String _NCProperties "version=2,netcdf=4.7.3,hdf5=1.12.0,";
    String acknowledgement "We thank NOAA CoastWatch West Coast  (https://coastwatch.pfeg.noaa.gov/) for generating and serving the Sardine Potential Habitat Model output";
    String cdm_data_type "Grid";
    String contributor_name "NOAA/CoastWatch/West Coast";
    String contributor_role "Operationalize the product";
    String contributor_url "https://coastwatch.pfeg.noaa.gov/";
    String Conventions "CF-1.6, COARDS, ACDD-1.3";
    String creator_email "juan.zwolinski at noaa.gov";
    String creator_name "NOAA/NMFS/SWFSC/FRD";
    String creator_type "group";
    String creator_url "https://www.fisheries.noaa.gov/about/fisheries-resources-division-southwest-fisheries-science-center";
    String date_created "2021-01-24T15:33:49Z";
    String defaultGraphQuery "&.vars=longitude%7Clatitude%7Cpotential_habitat";
    Float64 Easternmost_Easting -111.0417;
    Float64 geospatial_lat_max 51.04166;
    Float64 geospatial_lat_min 24.04166;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -111.0417;
    Float64 geospatial_lon_min -129.9583;
    String geospatial_lon_units "degrees_east";
    String history 
"Daily chlorophyll and sea surface temperature satellite
data were obtained from: 
https://coastwatch.noaa.gov//erddap/griddap/noaacwNPPN20S3ASCIDINEOFDaily.html 
https://coastwatch.pfeg.noaa.gov/erddap/griddap/nesdisGeoPolarSSTN5NRT.html 
The data were then applied to 
the habitat model to obtain the potential habitat fields.
2023-02-07T23:39:49Z (local files)
2023-02-07T23:39:49Z https://polarwatch.noaa.gov/griddap/sardine_habitat_gapfilled.das";
    String id "sardine_habitat_gapfillled";
    String infoUrl "https://swfscdata.nmfs.noaa.gov/AST/sardineHabitat/habitat.aspx";
    String institution "NOAA/NMFS/SWFSC/FRD";
    String instrument "VIIRS, blended geostationary and polar sensors";
    String keywords "2012-present, abundance, blended, center, chemistry, chla, chlor_a, chlorophyll, chlorophyll-a, coast, coastwatch west coast, color, concentration, concentration_of_chlorophyll_in_sea_water, daily, data, day, earth, Earth Science > Oceans > Ocean Chemistry > Chlorophyll, Earth Science > Oceans > Ocean Optics > Ocean Color, Earth Science > Oceans > Ocean Temperature > Sea Surface Temperature, filled, fish, fish abundance, fisheries, frd, gap, gap-filled, geopolar, habitat, imager, imager/radiometer, imaging, infrared, latitude, longitude, map, marine, n-20, national, near, near real time, nmfs, noaa, ocean, ocean color, oceans, optics, potential, potential_habitat, potential_habitat_mask, present, qualitative, radiometer, real, real time, real-time, realtime, sardine, science, sea, sea surface temperature, sea_surface_temperature, seawater, service, snpp, southwest, sst, suite, surface, swfsc, temperature, time, US, v.3.0, viirs, visible, water, west, west coast";
    String keywords_vocabulary "GCMD Science Keywords";
    String license 
"https://science.nasa.gov/earth-science/earth-science-data/data-information-policy/
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.";
    String naming_authority "gov.noaa.pfeg.coastwatch";
    Float64 Northernmost_Northing 51.04166;
    String platform "S-NPP";
    String publisher_email "erd.data at noaa.gov";
    String publisher_name "NOAA/NMFS/SWFSC/ERD, NOAA/CoastWatch/West Coast";
    String publisher_type "institution";
    String publisher_url "https://www.pfeg.noaa.gov/, https://coastwatch.pfeg.noaa.gov/";
    String references "https://doi.org/10.1093/icesjms/fsr038";
    String sensor "VIIRS";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 24.04166;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "A habitat model of sardine distrubtion in the California Current based on satellite remote sensing chlorophyll and sea surface temperature data from the NOAA Visible and Infrared Imager/Radiometer Suite (VIIRS) SNPP/N-20 gap-filled ocean color data and NOAA GeoPolar Blended SST data.";
    String testOutOfDate "now-7days";
    String time_coverage_end "2021-10-01T07:00:00Z";
    String time_coverage_start "2021-06-01T07:00:00Z";
    String title "Sardine Potential Habitat V.3.0, NOAA Gap-Filled Data, Near Real-Time, US West Coast, 2012-present, Daily";
    String version "3.0";
    Float64 Westernmost_Easting -129.9583;
  }
}

 

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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