ERDDAP > griddap > Data Access Form

Dataset Title:	GHRSST Global 1-km Sea Surface Temperature (G1SST), Global, 0.01 Degree, 2010- 2017, Daily
Institution:	NASA JPL   (Dataset ID: jplG1SST)
Information:	Summary | License | FGDC | ISO 19115 | Metadata | Background | Make a graph

 

Dimensions	Start	Stride	Stop	Size	Spacing
time (Start Time, UTC)				2632	1 day 0h 11m 46s (uneven)
latitude (degrees_north)				16000	0.01 (even)
longitude (degrees_east)				36000	0.01 (even)

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

SST (Analysed Sea Surface Temperature, degree_C)

mask (sea/land/lake/ice field composite mask)

analysis_error (Estimated Error Standard Deviation of Analysed SST, degree_C)

File type: (more information) .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 (latitude longitude data only; longitude 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,latitude,longitude,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 latitude longitude data; longitude must be all below or all above 180). .kml - View a Google Earth .kml file (for latitude, longitude 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 1.2760848e+9, 1.5052608e+9;
    String axis "T";
    String calendar "Gregorian";
    String ioos_category "Time";
    String long_name "Start 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";
    Float32 actual_range -79.995, 79.995;
    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 -179.995, 179.995;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  SST {
    Float32 _FillValue -327.68;
    Float64 colorBarMaximum 32.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Temperature";
    String long_name "Analysed Sea Surface Temperature";
    String standard_name "sea_surface_temperature";
    String type "foundation";
    String units "degree_C";
    Float32 valid_max 45.0;
    Float32 valid_min -9.0;
  }
  mask {
    Byte _FillValue -128;
    String _Unsigned "false";
    Float64 colorBarMaximum 127.0;
    Float64 colorBarMinimum 0.0;
    String comment 
"b0: 1=grid cell is open sea water
b1: 1=land is present in this grid cell
b2: 1=lake surface is present in this grid cell
b3: 1=sea ice is present in this grid cell
b4-b7: reserved for future grid mask data";
    String flag_meanings "sea land lake ice";
    String flag_values "1b, 2b, 4b, 8b";
    String ioos_category "Identifier";
    String long_name "sea/land/lake/ice field composite mask";
  }
  analysis_error {
    Float32 _FillValue -54.53;
    Float64 colorBarMaximum 5.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Statistics";
    String long_name "Estimated Error Standard Deviation of Analysed SST";
    String units "degree_C";
  }
  NC_GLOBAL {
    String cdm_data_type "Grid";
    String contact "Benyang.Tang@jpl.nasa.gov";
    String Conventions "CF-1.6, COARDS, ACDD-1.3";
    String creator_email "Benyang.Tang@jpl.nasa.gov";
    String creator_name "The JPL G1SST Team";
    String creator_type "group";
    String creator_url "http://sst.jpl.nasa.gov/SST/";
    String DSD_entry_id "JPL_OUROCEAN-L4UHfnd-GLOB-G1SST";
    Float64 Easternmost_Easting 179.995;
    Int32 file_quality_index 0;
    String GDS_version_id "v1.0-rev1.7";
    Float64 geospatial_lat_max 79.995;
    Float64 geospatial_lat_min -79.995;
    Float64 geospatial_lat_resolution 0.01;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 179.995;
    Float64 geospatial_lon_min -179.995;
    Float64 geospatial_lon_resolution 0.01;
    String geospatial_lon_units "degrees_east";
    String history 
"1km SST blended from 8 satellite observations
Data downloaded daily from ftp://podaac-ftp.jpl.nasa.gov/OceanTemperature/ghrsst/data/L4/GLOB/JPL_OUROCEAN/G1SST/ to NOAA NMFS SWFSC ERD.
2022-10-03T12:27:52Z https://oceanwatch.pfeg.noaa.gov/thredds/dodsC/satellite/JS/ssta/1day
2022-10-03T12:27:52Z http://coastwatch.pfeg.noaa.gov/erddap/griddap/jplG1SST.das";
    String infoUrl "https://podaac.jpl.nasa.gov/dataset/JPL_OUROCEAN-L4UHfnd-GLOB-G1SST";
    String institution "NASA JPL";
    String keywords "1-km\\nEarth Science > Oceans > Ocean Temperature > Sea Surface Temperature, 1km, analysed, blended, composite, deviation, error, estimated, field, g1sst, ghrsst, group, high, high-resolution, ice, identifier, improved, jet, laboratory, lake, land, mask, misst, multi, multi-sensor, ocean, oceans, ourocean, project, propulsion, sea, sea/land/lake/ice, sea_surface_temperature, sensor, sst, standard, statistics, surface, team, temperature";
    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.";
    String netcdf_version_id "3.6.0";
    Float64 Northernmost_Northing 79.995;
    String product_version "1.0";
    String references 
"A Blended Global 1-km Sea Surface Temperature Data Set for Research and Applications
by Yi Chao, Benyang Tang, Zhijin Li, Peggy Li, Quoc Vu";
    String source_data "AMSRE,AVHRR,TMI,MODIS,MODIS,GOES,METOP,MTSAT,SEVIRI,AATSR,in-situ";
    String sourceUrl "https://oceanwatch.pfeg.noaa.gov/thredds/dodsC/satellite/JS/ssta/1day";
    Float64 Southernmost_Northing -79.995;
    String spatial_resolution "1 km";
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary 
"A daily, global Sea Surface Temperature (SST) data set is produced at 1-km (also known as ultra-high resolution) by the JPL ROMS (Regional Ocean Modeling System) group. The input SST data sets are derived from the Global High-Resolution Sea Surface Temperature (SST) Pilot Project (GHRSST-PP). For details, see
https://podaac.jpl.nasa.gov/dataset/JPL_OUROCEAN-L4UHfnd-GLOB-G1SST .
This dataset is part of the Multi-sensor Improved Sea Surface Temperatures (MISST) project, which is part of the Group for High-Resolution Sea Surface Temperature (GHRSST) project.

DISCONTINUED - The creators of the jplG1SST dataset stopped production in late Oct 2017. There are more recent files available from JPL, but they are flawed so they are not included in the dataset at ERD. You might consider using the similar jplMURSST41 dataset, 
https://coastwatch.pfeg.noaa.gov/erddap/search/index.html?searchFor=jplMURSST41
which has the additional advantage of offering related climatology and anomaly datasets.";
    String time_coverage_end "2017-09-13T00:00:00Z";
    String time_coverage_start "2010-06-09T12:00:00Z";
    String title "GHRSST Global 1-km Sea Surface Temperature (G1SST), Global, 0.01 Degree, 2010-2017, Daily";
    Float64 Westernmost_Easting -179.995;
  }
}

 

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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[(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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