ERDDAP > griddap > Data Access Form

Dataset Title:	Daily MUR SST, Final product
Institution:	Jet Propulsion Laboratory   (Dataset ID: SST_Anomalies_Caledonie)
Information:	Summary | License | FGDC | ISO 19115 | Metadata | Background | Make a graph

 

Dimensions	Start	Stride	Stop	Size	Spacing
time (UTC)				96	30 days 10h 21m 28s (uneven)
latitude (degrees_north)				1300	0.01 (even)
longitude (degrees_east)				2001	0.01 (even)

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

analysed_sst (analysed sea surface temperature, kelvin)

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).

(Documentation / Bypass this form)
 
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The Dataset Attribute Structure (.das) for this Dataset

Attributes {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.3898628e+9, 1.6396452e+9;
    String axis "T";
    String cell_methods "time: mean";
    String comment "Nominal time of analyzed fields";
    String ioos_category "Time";
    String long_name "reference time of sst field";
    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 -27.0, -14.01;
    String axis "Y";
    String comment "geolocations inherited from the input data without correction";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
    Float32 valid_max 90.0;
    Float32 valid_min -90.0;
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range 155.01, 175.01;
    String axis "X";
    String comment "geolocations inherited from the input data without correction";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
    Float32 valid_max 180.0;
    Float32 valid_min -180.0;
  }
  analysed_sst {
    Float64 _FillValue -32768.0;
    String cell_methods "time: mean";
    Float64 colorBarMaximum 2.0;
    Float64 colorBarMinimum -2.0;
    String comment "\\\"Final\\\" version using Multi-Resolution Variational Analysis (MRVA) method for interpolation";
    String long_name "analysed sea surface temperature";
    String source "MODIS_T-JPL, MODIS_A-JPL, AMSR2-REMSS, AVHRR18_G-NAVO, AVHRR19_G-NAVO, AVHRRMTA_G-NAVO, iQUAM-NOAA/NESDIS, Ice_Conc-OSISAF";
    String standard_name "sea_surface_foundation_temperature";
    String units "kelvin";
    Float64 valid_max 32767.0;
    Float64 valid_min -32767.0;
  }
  NC_GLOBAL {
    String acknowledgement "Please acknowledge the use of these data with the following statement:  These data were provided by JPL under support by NASA MEaSUREs program.";
    String cdm_data_type "Grid";
    String comment "MUR = \\\"Multi-scale Ultra-high Resolution\\\"";
    String Conventions "CF-1.7, COARDS, ACDD-1.3";
    String creator_email "ghrsst@podaac.jpl.nasa.gov";
    String creator_name "JPL MUR SST project";
    String creator_type "group";
    String creator_url "https://podaac.jpl.nasa.gov/dataset/MUR-JPL-L4-GLOB-v4.1";
    String date_created "2019-09-13T17:30:51Z";
    Float64 Easternmost_Easting 175.01;
    String gds_version_id "2.0";
    Float64 geospatial_lat_max -14.01;
    Float64 geospatial_lat_min -27.0;
    Float64 geospatial_lat_resolution 0.01;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 175.01;
    Float64 geospatial_lon_min 155.01;
    Float64 geospatial_lon_resolution 0.01;
    String geospatial_lon_units "degrees_east";
    String history 
"Wed Jan 26 01:04:55 2022: ncrcat IFR_NEW_CAL_SST_2014_01_anomaly.nc IFR_NEW_CAL_SST_2014_02_anomaly.nc IFR_NEW_CAL_SST_2014_03_anomaly.nc IFR_NEW_CAL_SST_2014_04_anomaly.nc IFR_NEW_CAL_SST_2014_05_anomaly.nc IFR_NEW_CAL_SST_2014_06_anomaly.nc IFR_NEW_CAL_SST_2014_07_anomaly.nc IFR_NEW_CAL_SST_2014_08_anomaly.nc IFR_NEW_CAL_SST_2014_09_anomaly.nc IFR_NEW_CAL_SST_2014_10_anomaly.nc IFR_NEW_CAL_SST_2014_11_anomaly.nc IFR_NEW_CAL_SST_2014_12_anomaly.nc IFR_NEW_CAL_SST_2015_01_anomaly.nc IFR_NEW_CAL_SST_2015_02_anomaly.nc IFR_NEW_CAL_SST_2015_03_anomaly.nc IFR_NEW_CAL_SST_2015_04_anomaly.nc IFR_NEW_CAL_SST_2015_05_anomaly.nc IFR_NEW_CAL_SST_2015_06_anomaly.nc IFR_NEW_CAL_SST_2015_07_anomaly.nc IFR_NEW_CAL_SST_2015_08_anomaly.nc IFR_NEW_CAL_SST_2015_09_anomaly.nc IFR_NEW_CAL_SST_2015_10_anomaly.nc IFR_NEW_CAL_SST_2015_11_anomaly.nc IFR_NEW_CAL_SST_2015_12_anomaly.nc IFR_NEW_CAL_SST_2016_01_anomaly.nc IFR_NEW_CAL_SST_2016_02_anomaly.nc IFR_NEW_CAL_SST_2016_03_anomaly.nc IFR_NEW_CAL_SST_2016_04_anomaly.nc IFR_NEW_CAL_SST_2016_05_anomaly.nc IFR_NEW_CAL_SST_2016_06_anomaly.nc IFR_NEW_CAL_SST_2016_07_anomaly.nc IFR_NEW_CAL_SST_2016_08_anomaly.nc IFR_NEW_CAL_SST_2016_09_anomaly.nc IFR_NEW_CAL_SST_2016_10_anomaly.nc IFR_NEW_CAL_SST_2016_11_anomaly.nc IFR_NEW_CAL_SST_2016_12_anomaly.nc IFR_NEW_CAL_SST_2017_01_anomaly.nc IFR_NEW_CAL_SST_2017_02_anomaly.nc IFR_NEW_CAL_SST_2017_03_anomaly.nc IFR_NEW_CAL_SST_2017_04_anomaly.nc IFR_NEW_CAL_SST_2017_05_anomaly.nc IFR_NEW_CAL_SST_2017_06_anomaly.nc IFR_NEW_CAL_SST_2017_07_anomaly.nc IFR_NEW_CAL_SST_2017_08_anomaly.nc IFR_NEW_CAL_SST_2017_09_anomaly.nc IFR_NEW_CAL_SST_2017_10_anomaly.nc IFR_NEW_CAL_SST_2017_11_anomaly.nc IFR_NEW_CAL_SST_2017_12_anomaly.nc IFR_NEW_CAL_SST_2018_01_anomaly.nc IFR_NEW_CAL_SST_2018_02_anomaly.nc IFR_NEW_CAL_SST_2018_03_anomaly.nc IFR_NEW_CAL_SST_2018_04_anomaly.nc IFR_NEW_CAL_SST_2018_05_anomaly.nc IFR_NEW_CAL_SST_2018_06_anomaly.nc IFR_NEW_CAL_SST_2018_07_anomaly.nc IFR_NEW_CAL_SST_2018_08_anomaly.nc IFR_NEW_CAL_SST_2018_09_anomaly.nc IFR_NEW_CAL_SST_2018_10_anomaly.nc IFR_NEW_CAL_SST_2018_11_anomaly.nc IFR_NEW_CAL_SST_2018_12_anomaly.nc IFR_NEW_CAL_SST_2019_01_anomaly.nc IFR_NEW_CAL_SST_2019_02_anomaly.nc IFR_NEW_CAL_SST_2019_03_anomaly.nc IFR_NEW_CAL_SST_2019_04_anomaly.nc IFR_NEW_CAL_SST_2019_05_anomaly.nc IFR_NEW_CAL_SST_2019_06_anomaly.nc IFR_NEW_CAL_SST_2019_07_anomaly.nc IFR_NEW_CAL_SST_2019_08_anomaly.nc IFR_NEW_CAL_SST_2019_09_anomaly.nc IFR_NEW_CAL_SST_2019_10_anomaly.nc IFR_NEW_CAL_SST_2019_11_anomaly.nc IFR_NEW_CAL_SST_2019_12_anomaly.nc IFR_NEW_CAL_SST_2020_01_anomaly.nc IFR_NEW_CAL_SST_2020_02_anomaly.nc IFR_NEW_CAL_SST_2020_03_anomaly.nc IFR_NEW_CAL_SST_2020_04_anomaly.nc IFR_NEW_CAL_SST_2020_05_anomaly.nc IFR_NEW_CAL_SST_2020_06_anomaly.nc IFR_NEW_CAL_SST_2020_07_anomaly.nc IFR_NEW_CAL_SST_2020_08_anomaly.nc IFR_NEW_CAL_SST_2020_09_anomaly.nc IFR_NEW_CAL_SST_2020_10_anomaly.nc IFR_NEW_CAL_SST_2020_11_anomaly.nc IFR_NEW_CAL_SST_2020_12_anomaly.nc IFR_NEW_CAL_SST_2021_01_anomaly.nc IFR_NEW_CAL_SST_2021_02_anomaly.nc IFR_NEW_CAL_SST_2021_03_anomaly.nc IFR_NEW_CAL_SST_2021_04_anomaly.nc IFR_NEW_CAL_SST_2021_05_anomaly.nc IFR_NEW_CAL_SST_2021_06_anomaly.nc IFR_NEW_CAL_SST_2021_07_anomaly.nc IFR_NEW_CAL_SST_2021_08_anomaly.nc IFR_NEW_CAL_SST_2021_09_anomaly.nc IFR_NEW_CAL_SST_2021_10_anomaly.nc IFR_NEW_CAL_SST_2021_11_anomaly.nc IFR_NEW_CAL_SST_2021_12_anomaly.nc MUR_SST_anomalies_2014_2021.nnc
Mon Dec 14 02:52:17 2020: ncks -v analysed_sst /home/datawork-lead/public/indicateurs/sst/monthly_anomalies/2014/IFR_NEW_CAL_SST_2014_01_anomaly.nc -O /home/datawork-lead/public/indicateurs/sst/monthly_anomalies/2014/IFR_NEW_CAL_SST_2014_01_anomaly.nc
Mon Dec 14 02:52:12 2020: ncdiff /home/datawork-lead/public/indicateurs/sst/monthly_mean/mean_2014/2014_01.nc /home/datawork-lead/public/indicateurs/sst/interannual_monthly_mean/mean_2003_2013/IFR_NEW_CAL_SST_2003_2013_01.nc /home/datawork-lead/public/indicateurs/sst/monthly_anomalies/2014/IFR_NEW_CAL_SST_2014_01_anomaly.nc
Wed Oct 28 22:57:18 2020: ncra /home/datawork-lead/datarmor-only/caledonie/satellite/mur_sst/2014/20140101090000-JPL-L4_GHRSST-SSTfnd-MUR-GLOB-v02.0-fv04.1.nc /home/datawork-lead/datarmor-only/caledonie/satellite/mur_sst/2014/20140102090000-JPL-L4_GHRSST-SSTfnd-MUR-GLOB-v02.0-fv04.1.nc /home/datawork-lead/datarmor-only/caledonie/satellite/mur_sst/2014/20140103090000-JPL-L4_GHRSST-SSTfnd-MUR-GLOB-v02.0-fv04.1.nc /home/datawork-lead/datarmor-only/caledonie/satellite/mur_sst/2014/20140104090000-JPL-L4_GHRSST-SSTfnd-MUR-GLOB-v02.0-fv04.1.nc /home/datawork-lead/datarmor-only/caledonie/satellite/mur_sst/2014/20140105090000-JPL-L4_GHRSST-SSTfnd-MUR-GLOB-v02.0-fv04.1.nc /home/datawork-lead/datarmor-only/caledonie/satellite/mur_sst/2014/20140106090000-JPL-L4_GHRSST-SSTfnd-MUR-GLOB-v02.0-fv04.1.nc /home/datawork-lead/datarmor-only/caledonie/satellite/mur_sst/2014/20140107090000-JPL-L4_GHRSST-SSTfnd-MUR-GLOB-v02.0-fv04.1.nc /home/datawork-lead/datarmor-only/caledonie/satellite/mur_sst/2014/20140108090000-JPL-L4_GHRSST-SSTfnd-MUR-GLOB-v02.0-fv04.1.nc /home/datawork-lead/datarmor-only/caledonie/satellite/mur_sst/2014/20140109090000-JPL-L4_GHRSST-SSTfnd-MUR-GLOB-v02.0-fv04.1.nc /home/datawork-lead/datarmor-only/caledonie/satellite/mur_sst/2014/20140110090000-JPL-L4_GHRSST-SSTfnd-MUR-GLOB-v02.0-fv04.1.nc /home/datawork-lead/datarmor-only/caledonie/satellite/mur_sst/2014/20140111090000-JPL-L4_GHRSST-SSTfnd-MUR-GLOB-v02.0-fv04.1.nc /home/datawork-lead/datarmor-only/caledonie/satellite/mur_sst/2014/20140112090000-JPL-L4_GHRSST-SSTfnd-MUR-GLOB-v02.0-fv04.1.nc /home/datawork-lead/datarmor-only/caledonie/satellite/mur_sst/2014/20140113090000-JPL-L4_GHRSST-SSTfnd-MUR-GLOB-v02.0-fv04.1.nc /home/datawork-lead/datarmor-only/caledonie/satellite/mur_sst/2014/20140114090000-JPL-L4_GHRSST-SSTfnd-MUR-GLOB-v02.0-fv04.1.nc /home/datawork-lead/datarmor-only/caledonie/satellite/mur_sst/2014/20140115090000-JPL-L4_GHRSST-SSTfnd-MUR-GLOB-v02.0-fv04.1.nc /home/datawork-lead/datarmor-only/caledonie/satellite/mur_sst/2014/20140116090000-JPL-L4_GHRSST-SSTfnd-MUR-GLOB-v02.0-fv04.1.nc /home/datawork-lead/datarmor-only/caledonie/satellite/mur_sst/2014/20140117090000-JPL-L4_GHRSST-SSTfnd-MUR-GLOB-v02.0-fv04.1.nc /home/datawork-lead/datarmor-only/caledonie/satellite/mur_sst/2014/20140118090000-JPL-L4_GHRSST-SSTfnd-MUR-GLOB-v02.0-fv04.1.nc /home/datawork-lead/datarmor-only/caledonie/satellite/mur_sst/2014/20140119090000-JPL-L4_GHRSST-SSTfnd-MUR-GLOB-v02.0-fv04.1.nc /home/datawork-lead/datarmor-only/caledonie/satellite/mur_sst/2014/20140120090000-JPL-L4_GHRSST-SSTfnd-MUR-GLOB-v02.0-fv04.1.nc /home/datawork-lead/datarmor-only/caledonie/satellite/mur_sst/2014/20140121090000-JPL-L4_GHRSST-SSTfnd-MUR-GLOB-v02.0-fv04.1.nc /home/datawork-lead/datarmor-only/caledonie/satellite/mur_sst/2014/20140122090000-JPL-L4_GHRSST-SSTfnd-MUR-GLOB-v02.0-fv04.1.nc /home/datawork-lead/datarmor-only/caledonie/satellite/mur_sst/2014/20140123090000-JPL-L4_GHRSST-SSTfnd-MUR-GLOB-v02.0-fv04.1.nc /home/datawork-lead/datarmor-only/caledonie/satellite/mur_sst/2014/20140124090000-JPL-L4_GHRSST-SSTfnd-MUR-GLOB-v02.0-fv04.1.nc /home/datawork-lead/datarmor-only/caledonie/satellite/mur_sst/2014/20140125090000-JPL-L4_GHRSST-SSTfnd-MUR-GLOB-v02.0-fv04.1.nc /home/datawork-lead/datarmor-only/caledonie/satellite/mur_sst/2014/20140126090000-JPL-L4_GHRSST-SSTfnd-MUR-GLOB-v02.0-fv04.1.nc /home/datawork-lead/datarmor-only/caledonie/satellite/mur_sst/2014/20140127090000-JPL-L4_GHRSST-SSTfnd-MUR-GLOB-v02.0-fv04.1.nc /home/datawork-lead/datarmor-only/caledonie/satellite/mur_sst/2014/20140128090000-JPL-L4_GHRSST-SSTfnd-MUR-GLOB-v02.0-fv04.1.nc /home/datawork-lead/datarmor-only/caledonie/satellite/mur_sst/2014/20140129090000-JPL-L4_GHRSST-SSTfnd-MUR-GLOB-v02.0-fv04.1.nc /home/datawork-lead/datarmor-only/caledonie/satellite/mur_sst/2014/20140130090000-JPL-L4_GHRSST-SSTfnd-MUR-GLOB-v02.0-fv04.1.nc /home/datawork-lead/datarmor-only/caledonie/satellite/mur_sst/2014/20140131090000-JPL-L4_GHRSST-SSTfnd-MUR-GLOB-v02.0-fv04.1.nc /home/datawork-lead/public/indicateurs/sst/monthly_mean/mean_2014/2014_01.nc
Wed Jun 10 11:15:51 2020: ncks --mk_rec_dmn time 20140101090000-JPL-L4_GHRSST-SSTfnd-MUR-GLOB-v02.0-fv04.1.nc 20140101090000-JPL-L4_GHRSST-SSTfnd-MUR-GLOB-v02.0-fv04.1.nc_tmp.nc
Wed Jun 10 11:06:02 2020: ncks -O -a -4 -L 9 20140101090000-JPL-L4_GHRSST-SSTfnd-MUR-GLOB-v02.0-fv04.1.nc 20140101090000-JPL-L4_GHRSST-SSTfnd-MUR-GLOB-v02.0-fv04.1.nc_tmp.nc
created at nominal 4-day latency; replaced nrt (1-day latency) version.
2020-06-10 00:05:17 GMT Hyrax-1.16.0 https://opendap.jpl.nasa.gov/opendap/allData/ghrsst/data/GDS2/L4/GLOB/JPL/MUR/v4.1/2014/001/20140101090000-JPL-L4_GHRSST-SSTfnd-MUR-GLOB-v02.0-fv04.1.nc.nc?analysed_sst[0:1:0][6299:1:7598][33500:1:35500],mask[0:1:0][6299:1:7598][33500:1:35500]
2024-11-21T11:07:15Z (local files)
2024-11-21T11:07:15Z https://erddap.ifremer.fr/erddap/griddap/SST_Anomalies_Caledonie.das";
    String id "MUR-JPL-L4-GLOB-v04.1";
    String infoUrl "https://podaac.jpl.nasa.gov/ws/metadata/dataset/?format=iso&shortName=MUR-JPL-L4-GLOB-v04.1";
    String institution "Jet Propulsion Laboratory";
    String keywords "analysed, analysed_sst, daily, data, day, earth, Earth Science > Oceans > Ocean Temperature > Sea Surface Temperature, final, foundation, high, jet, jpl, laboratory, multi, multi-scale, mur, ocean, oceans, product, propulsion, resolution, scale, science, sea, sea_surface_foundation_temperature, sst, surface, temperature, time, ultra, ultra-high";
    String keywords_vocabulary "GCMD Science Keywords";
    String license "These data are available free of charge under data policy of JPL PO.DAAC.";
    String metadata_link "https://podaac.jpl.nasa.gov/ws/metadata/dataset/?format=iso&shortName=MUR-JPL-L4-GLOB-v04.1";
    String naming_authority "org.ghrsst";
    String NCO "4.7.1";
    Int32 nco_openmp_thread_number 1;
    Float64 Northernmost_Northing -14.01;
    String platform "Terra, Aqua, GCOM-W, NOAA-18, NOAA-19, MetOp-A, Buoys/Ships";
    String processing_level "L4";
    String product_version "04.1";
    String project "NASA Making Earth Science Data Records for Use in Research Environments (MEaSUREs) Program";
    String publisher_email "ghrsst-po@nceo.ac.uk";
    String publisher_name "GHRSST Project Office";
    String publisher_type "group";
    String publisher_url "https://www.ghrsst.org";
    String references "https://podaac.jpl.nasa.gov/dataset/MUR-JPL-L4-GLOB-v4.1";
    String sensor "MODIS, AMSR2, AVHRR, in-situ";
    String source "MODIS_T-JPL, MODIS_A-JPL, AMSR2-REMSS, AVHRR18_G-NAVO, AVHRR19_G-NAVO, AVHRRMTA_G-NAVO, iQUAM-NOAA/NESDIS, Ice_Conc-OSISAF";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing -27.0;
    String spatial_resolution "0.01 degrees";
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "A merged, multi-sensor L4 Foundation Sea Surface Temperature (SST) analysis product from Jet Propulsion Laboratory (JPL).";
    String testOutOfDate "now-109days";
    String time_coverage_end "2021-12-16T09:00:00Z";
    String time_coverage_start "2014-01-16T09:00:00Z";
    String title "Daily MUR SST, Final product";
    Float64 Westernmost_Easting 155.01;
  }
}

 

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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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