ERDDAP > griddap > Data Access Form

Dataset Title:	Chlorophyll a Concentration, NPP VIIRS - CoastWatch - Monthly, 2012-present
Institution:	STAR   (Dataset ID: noaa_snpp_chla_monthly)
Information:	Summary | License | FGDC | ISO 19115 | Metadata | Background | Make a graph

 

Dimensions	Start	Stride	Stop	Size	Spacing
time (UTC)				132	30 days 15h 56m 20s (uneven)
latitude (degrees_north)				4788	-0.0375 (even)
longitude (degrees_east)				9600	0.0375 (even)

Grid Variables (which always also download all of the dimension variables)

chlor_a (Chlorophyll Concentration, Default Algorithm, mg m-3)

File type: (more info) .asc - View OPeNDAP-style ISO-8859-1 comma-separated text. .csv - Download a ISO-8859-1 comma-separated text table (line 1: names; line 2: units; ISO 8601 times). .csvp - Download a ISO-8859-1 .csv file with line 1: name (units). Times are ISO 8601 strings. .csv0 - Download a ISO-8859-1 .csv file without column names or units. Times are ISO 8601 strings. .das - View the dataset's metadata via an ISO-8859-1 OPeNDAP Dataset Attribute Structure (DAS). .dds - View the dataset's structure via an ISO-8859-1 OPeNDAP Dataset Descriptor Structure (DDS). .dods - OPeNDAP clients use this to download the data in the DODS binary format. .esriAscii - Download an ISO-8859-1 ESRI ASCII file (lat lon data only; lon must be all below or all above 180). .fgdc - View the dataset's UTF-8 FGDC .xml metadata. .graph - View a Make A Graph web page. .help - View a web page with a description of griddap. .html - View an OPeNDAP-style HTML Data Access Form. .htmlTable - View a UTF-8 .html web page with the data in a table. Times are ISO 8601 strings. .iso19115 - View the dataset's ISO 19115-2/19139 UTF-8 .xml metadata. .itx - Download an ISO-8859-1 Igor Text File. Each axis variable and each data variable becomes a wave. .json - View a table-like UTF-8 JSON file (missing value = 'null'; times are ISO 8601 strings). .jsonlCSV1 - View a UTF-8 JSON Lines CSV file with column names on line 1 (mv = 'null'; times are ISO 8601 strings). .jsonlCSV - View a UTF-8 JSON Lines CSV file without column names (mv = 'null'; times are ISO 8601 strings). .jsonlKVP - View a UTF-8 JSON Lines file with Key:Value pairs (missing value = 'null'; times are ISO 8601 strings). .mat - Download a MATLAB binary file. .nc - Download a NetCDF-3 binary file with COARDS/CF/ACDD metadata. .ncHeader - View the UTF-8 header (the metadata) for the NetCDF-3 .nc file. .ncml - View the dataset's structure and metadata as a UTF-8 NCML .xml file. .nccsv - Download a NetCDF-3-like 7-bit ASCII NCCSV .csv file with COARDS/CF/ACDD metadata. .nccsvMetadata - View the dataset's metadata as the top half of a 7-bit ASCII NCCSV .csv file. .ncoJson - Download a UTF-8 NCO lvl=2 JSON file with COARDS/CF/ACDD metadata. .odvTxt - Download time,lat,lon,otherVariables as an ODV Generic Spreadsheet File (.txt). .timeGaps - View a UTF-8 list of gaps in the time values which are larger than the median gap. .tsv - Download a ISO-8859-1 tab-separated text table (line 1: names; line 2: units; ISO 8601 times). .tsvp - Download a ISO-8859-1 .tsv file with line 1: name (units). Times are ISO 8601 strings. .tsv0 - Download a ISO-8859-1 .tsv file without column names or units. Times are ISO 8601 strings. .wav - Download a .wav audio file. All columns must be numeric and of the same type. .xhtml - View a UTF-8 XHTML (XML) file with the data in a table. Times are ISO 8601 strings. .geotif - View a grayscale GeoTIFF .tif file (for lat lon data; lon must be all below or all above 180). .kml - View a Google Earth .kml file (for lat, lon data only). .smallPdf - View a small .pdf image file with a graph or map. .pdf - View a standard, medium-sized .pdf image file with a graph or map. .largePdf - View a large .pdf image file with a graph or map. .smallPng - View a small .png image file with a graph or map. .png - View a standard, medium-sized .png image file with a graph or map. .largePng - View a large .png image file with a graph or map. .transparentPng - View a .png image file (just the data, without axes, landmask, or legend).

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The Dataset Attribute Structure (.das) for this Dataset

Attributes {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.3255056e+9, 1.6725744e+9;
    String axis "T";
    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 {
    Int32 _ChunkSizes 4788;
    String _CoordinateAxisType "Lat";
    Float64 actual_range -89.75625, 89.75625;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
    Float64 valid_max 90.0;
    Float64 valid_min -90.0;
  }
  longitude {
    Int32 _ChunkSizes 9600;
    String _CoordinateAxisType "Lon";
    Float64 actual_range 0.01875000000001137, 359.98125000000005;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
    Float64 valid_max 360.0;
    Float64 valid_min 0.0;
  }
  chlor_a {
    Float32 _FillValue NaN;
    String C_format "%.4g";
    String cell_methods "time:mean altitude: mean";
    Float64 colorBarMaximum 30.0;
    Float64 colorBarMinimum 0.03;
    String colorBarScale "Log";
    String coverage_content_type "physicalMeasurement";
    String grid_mapping "coord_ref";
    String ioos_category "Ocean Color";
    String long_name "Chlorophyll Concentration, Default Algorithm";
    String references "O\\'Reilly J. E. et al. (1998), Ocean color chlorophyll algorithms for SeaWiFS, J. Geophys. Res., 103(C11), 2493724953";
    String standard_name "mass_concentration_of_chlorophyll_a_in_sea_water";
    String units "mg m-3";
    Float32 valid_max 100.0;
    Float32 valid_min 0.001;
  }
  NC_GLOBAL {
    String _lastModified "2023-01-23T17:24:53.000Z";
    String _NCProperties "version=2,netcdf=4.7.3,hdf5=1.12.0,";
    String cdm_data_type "Grid";
    String Conventions "CF-1.6, COARDS, ACDD-1.3";
    String creator_email "coastwatch.info@noaa.gov";
    String creator_name "NOAA CoastWatch";
    String creator_type "institution";
    String creator_url "https://coastwatch.noaa.gov";
    String date_created "2023-02-20T01:55:02Z";
    Float64 Easternmost_Easting 359.98125000000005;
    Float64 geospatial_lat_max 89.75625;
    Float64 geospatial_lat_min -89.75625;
    Float64 geospatial_lat_resolution 0.0375;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 359.98125000000005;
    Float64 geospatial_lon_min 0.01875000000001137;
    Float64 geospatial_lon_resolution 0.037500000000000006;
    String geospatial_lon_units "degrees_east";
    String history 
"Mon Feb 20 07:40:33 2023: ncatted -O -a sw_point_longitude,global,o,f,0.01875 V2023001_2023031_F31_WW00_chlora-0-360.nc
Mon Feb 20 07:40:33 2023: ncatted -O -a geospatial_lon_min,global,o,f,0.0 V2023001_2023031_F31_WW00_chlora-0-360.nc
Mon Feb 20 07:40:33 2023: ncatted -O -a geospatial_lon_max,global,o,f,360.0 V2023001_2023031_F31_WW00_chlora-0-360.nc
Mon Feb 20 07:40:33 2023: ncatted -O -a easternmost_longitude,global,o,f,360.0 V2023001_2023031_F31_WW00_chlora-0-360.nc
Mon Feb 20 07:40:33 2023: ncatted -O -a westernmost_longitude,global,o,f,0.0 V2023001_2023031_F31_WW00_chlora-0-360.nc
Mon Feb 20 07:40:33 2023: ncatted -O -a valid_max,lon,o,f,360.0 V2023001_2023031_F31_WW00_chlora-0-360.nc
Mon Feb 20 07:40:33 2023: ncatted -O -a valid_min,lon,o,f,0.0 V2023001_2023031_F31_WW00_chlora-0-360.nc
Mon Feb 20 07:40:29 2023: ncap2 -O -s where(lon<0) lon=lon+360 V2023001_2023031_F31_WW00_chlora-0-360.nc V2023001_2023031_F31_WW00_chlora-0-360.nc
Mon Feb 20 07:40:24 2023: ncks -O --msa_usr_rdr -d lon,0.0,180.0 -d lon,-180.0,0.0 V2023001_2023031_F31_WW00_chlora-0-360.nc V2023001_2023031_F31_WW00_chlora-0-360.nc
Mon Feb 20 07:40:18 2023: ncwa -O -a altitude V2023001_2023031_F31_WW00_chlora-0-360.nc V2023001_2023031_F31_WW00_chlora-0-360.nc
Mon Feb 20 07:40:14 2023: ncks -C -x -v altitude V2023001_2023031_F31_WW00_chlora.nc V2023001_2023031_F31_WW00_chlora-0-360.nc
Mon Feb 20 01:55:02 2023
: /data/socd5/coastwatch/oc/L3/scripts/bin/nccomposite -M gmean -T Month -m chlor_a /data/socd5/coastwatch/oc/L3/scripts/config/chlor_a_comp_config.input /data/aftp/socd1/mecb/coastwatch/viirs/science/L3/global/chlora/monthly/WW00/V2023001_2023031_F31_WW00_chlora.nc
2023-03-27T00:54:37Z (local files)
2023-03-27T00:54:37Z https://oceanwatch.pifsc.noaa.gov/erddap/griddap/noaa_snpp_chla_monthly.das";
    String id "L3/2km/infile_2km_G.nc";
    String identifier_product_doi "https://dx.doi.org";
    String identifier_product_doi_authority "https://dx.doi.org";
    String infoUrl "https://coastwatch.noaa.gov";
    String input_files 
"/data/aftp/socd1/mecb/coastwatch/viirs/science/L3/global/chlora/daily/WW00/V2023001_D1_WW00_chlora.nc
/data/aftp/socd1/mecb/coastwatch/viirs/science/L3/global/chlora/daily/WW00/V2023002_D1_WW00_chlora.nc
/data/aftp/socd1/mecb/coastwatch/viirs/science/L3/global/chlora/daily/WW00/V2023003_D1_WW00_chlora.nc
/data/aftp/socd1/mecb/coastwatch/viirs/science/L3/global/chlora/daily/WW00/V2023004_D1_WW00_chlora.nc
/data/aftp/socd1/mecb/coastwatch/viirs/science/L3/global/chlora/daily/WW00/V2023005_D1_WW00_chlora.nc
/data/aftp/socd1/mecb/coastwatch/viirs/science/L3/global/chlora/daily/WW00/V2023006_D1_WW00_chlora.nc
/data/aftp/socd1/mecb/coastwatch/viirs/science/L3/global/chlora/daily/WW00/V2023007_D1_WW00_chlora.nc
/data/aftp/socd1/mecb/coastwatch/viirs/science/L3/global/chlora/daily/WW00/V2023008_D1_WW00_chlora.nc
/data/aftp/socd1/mecb/coastwatch/viirs/science/L3/global/chlora/daily/WW00/V2023009_D1_WW00_chlora.nc
/data/aftp/socd1/mecb/coastwatch/viirs/science/L3/global/chlora/daily/WW00/V2023010_D1_WW00_chlora.nc
/data/aftp/socd1/mecb/coastwatch/viirs/science/L3/global/chlora/daily/WW00/V2023011_D1_WW00_chlora.nc
/data/aftp/socd1/mecb/coastwatch/viirs/science/L3/global/chlora/daily/WW00/V2023012_D1_WW00_chlora.nc
/data/aftp/socd1/mecb/coastwatch/viirs/science/L3/global/chlora/daily/WW00/V2023013_D1_WW00_chlora.nc
/data/aftp/socd1/mecb/coastwatch/viirs/science/L3/global/chlora/daily/WW00/V2023014_D1_WW00_chlora.nc
/data/aftp/socd1/mecb/coastwatch/viirs/science/L3/global/chlora/daily/WW00/V2023015_D1_WW00_chlora.nc
/data/aftp/socd1/mecb/coastwatch/viirs/science/L3/global/chlora/daily/WW00/V2023016_D1_WW00_chlora.nc
/data/aftp/socd1/mecb/coastwatch/viirs/science/L3/global/chlora/daily/WW00/V2023017_D1_WW00_chlora.nc
/data/aftp/socd1/mecb/coastwatch/viirs/science/L3/global/chlora/daily/WW00/V2023018_D1_WW00_chlora.nc
/data/aftp/socd1/mecb/coastwatch/viirs/science/L3/global/chlora/daily/WW00/V2023019_D1_WW00_chlora.nc
/data/aftp/socd1/mecb/coastwatch/viirs/science/L3/global/chlora/daily/WW00/V2023020_D1_WW00_chlora.nc
/data/aftp/socd1/mecb/coastwatch/viirs/science/L3/global/chlora/daily/WW00/V2023021_D1_WW00_chlora.nc
/data/aftp/socd1/mecb/coastwatch/viirs/science/L3/global/chlora/daily/WW00/V2023022_D1_WW00_chlora.nc
/data/aftp/socd1/mecb/coastwatch/viirs/science/L3/global/chlora/daily/WW00/V2023023_D1_WW00_chlora.nc
/data/aftp/socd1/mecb/coastwatch/viirs/science/L3/global/chlora/daily/WW00/V2023024_D1_WW00_chlora.nc
/data/aftp/socd1/mecb/coastwatch/viirs/science/L3/global/chlora/daily/WW00/V2023025_D1_WW00_chlora.nc
/data/aftp/socd1/mecb/coastwatch/viirs/science/L3/global/chlora/daily/WW00/V2023026_D1_WW00_chlora.nc
/data/aftp/socd1/mecb/coastwatch/viirs/science/L3/global/chlora/daily/WW00/V2023027_D1_WW00_chlora.nc
/data/aftp/socd1/mecb/coastwatch/viirs/science/L3/global/chlora/daily/WW00/V2023028_D1_WW00_chlora.nc
/data/aftp/socd1/mecb/coastwatch/viirs/science/L3/global/chlora/daily/WW00/V2023029_D1_WW00_chlora.nc
/data/aftp/socd1/mecb/coastwatch/viirs/science/L3/global/chlora/daily/WW00/V2023030_D1_WW00_chlora.nc
/data/aftp/socd1/mecb/coastwatch/viirs/science/L3/global/chlora/daily/WW00/V2023031_D1_WW00_chlora.nc
";
    String institution "STAR";
    String instrument "VIIRS";
    String keywords "algorithm, chemistry, chlor_a, chlorophyll, color, concentration, data, default, earth, Earth Science > Oceans > Ocean Chemistry > Chlorophyll, Earth Science > Oceans > Ocean Optics > Ocean Color, image, imager, imager/radiometer, imaging, infrared, L3, level, level-3, mapped, mass, mass_concentration_of_chlorophyll_a_in_sea_water, national, npp, ocean, ocean color, oceans, optics, orbiting, partnership, polar, polar-orbiting, radiometer, science, sea, seawater, smi, standard, star, suite, suite/suomi-npp, suomi, time, viirs, viirs-n, viirsn, visible, water";
    String keywords_vocabulary "GCMD Science Keywords";
    String l2_flag_names "ATMFAIL,LAND,HIGLINT,HILT,HISATZEN,CLOUD,HISOLZEN,LOWLW,CHLFAIL,NAVWARN,CLDSHDSTL,MAXAERITER,CHLWARN,ALGICE,SEAICE,NAVFAIL,FILTER";
    String license "These data may be redistributed and used without restriction.";
    String map_projection "geographic";
    String measure "Mean";
    String naming_authority "gov.noaa.coastwatch";
    String NCO "netCDF Operators version 4.7.5 (Homepage = http://nco.sf.net, Code = https://github.com/nco/nco)";
    Int32 nco_openmp_thread_number 1;
    Float64 Northernmost_Northing 89.75625;
    String platform "Suomi-NPP";
    String processing_level "L3 Mapped";
    String processing_version "Unspecified";
    String product_name "V2023001_2023031_F31_WW00_chlora.nc";
    String proj4_string "+proj=eqc +lat_ts=0 +lat_0=0 +x_0=0 +y_0=0 +ellps=WGS84 +datum=WGS84 +units=m +no_defs +lon_0=0.000000";
    String project "Ocean Color Science Team (NOAA/NESDIS/STAR/OCST)";
    String publisher_email "coastwatch.info@noaa.gov;ncei.info@noaa.gov";
    String publisher_name "NOAA CoastWatch;National Centers for Environmental Information (NCEI)";
    String publisher_type "group";
    String publisher_url "https://coastwatch.noaa.gov;https://www.ncei.noaa.gov/";
    String Satellite "Suomi-NPP";
    String Sensor "VIIRS";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing -89.75625;
    String spatialResolution "4.17 km";
    String standard_name_vocabulary "CF Standard Name Table v29";
    String summary "Visible and Infrared Imager/Radiometer Suite/Suomi-NPP (VIIRSN) produced by NOAA/STAR Ocean Color Team through NOAA Multi-Sensor Level 1 to Level 2 processing system (MSL12) using the Ocean Color improved satellite data record. This is monthly data, 4-km resolution. More info: https://coastwatch.noaa.gov/cw_html/OceanColor_Science_Quality_VIIRS_SNPP.html";
    String temporal_range "Month";
    String time_coverage_end "2023-01-01T12:00:00Z";
    String time_coverage_start "2012-01-02T12:00:00Z";
    String title "Chlorophyll a Concentration, NPP VIIRS - CoastWatch - Monthly, 2012-present";
    Float64 Westernmost_Easting 0.01875000000001137;
  }
}

 

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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 Data Access Protocol (DAP) and its projection constraints.

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.

• (easy) You can get data by using the dataset's Data Access Form. It makes the URL for you.
• (easy) You can make a graph or map by using the dataset's Make A Graph form. It makes the URL for you.
• (not hard) You can bypass the forms and get the data or make a graph or map by generating the URL by hand or with a computer program or script.

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[(2015-06-09T09:00:00Z)][(-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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