Data Access Form

Dataset Title:	Multi-scale High Resolution (MUR) SST Analysis, SST Anomaly, fv04.2, Global, 0. 25°, 2002-present
Institution:	Jet Propulsion Laboratory (Dataset ID: jplMURSST42)
Information:	Summary \| License \| FGDC \| ISO 19115 \| Metadata \| Background \| Files \| Make a graph

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Dimensions	Size	Spacing
time (UTC)	7706	1 day 0h 38m 30s (uneven)

latitude (degrees_north)	720	0.25 (even)

longitude (degrees_east)	1440	0.25 (even)

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

analysed_sst (analysed sea surface temperature, degree_C)

analysis_error (estimated error standard deviation of analysed_sst, degree_C)

mask (sea/land field composite mask)

sea_ice_fraction (sea ice area fraction)

sst_anomaly (kelvin)

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 {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.0308708e+9, 1.7143812e+9;
    String axis "T";
    String comment "Nominal time of analyzed fields";
    String coverage_content_type "coordinate";
    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 -89.875, 89.875;
    String axis "Y";
    String comment "geolocations inherited from the input data without correction";
    String coverage_content_type "coordinate";
    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 -179.875, 179.875;
    String axis "X";
    String comment "geolocations inherited from the input data without correction";
    String coverage_content_type "coordinate";
    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 -7.768000000000001;
    Float64 colorBarMaximum 32.0;
    Float64 colorBarMinimum 0.0;
    String comment "\"Final\" version using Multi-Resolution Variational Analysis (MRVA) method for interpolation";
    String coverage_content_type "physicalMeasurement";
    String ioos_category "Temperature";
    String long_name "analysed sea surface temperature";
    String source "MODIS_T-JPL, MODIS_A-JPL, AMSR2-REMSS, AVHRRMTB_G-NAVO, iQUAM-NOAA/NESDIS, Ice_Conc-OSISAF";
    String standard_name "sea_surface_foundation_temperature";
    String units "degree_C";
    Float64 valid_max 57.767;
    Float64 valid_min -7.767000000000003;
  }
  analysis_error {
    Float64 _FillValue -327.68;
    Float64 colorBarMaximum 5.0;
    Float64 colorBarMinimum 0.0;
    String comment "uncertainty in \"analysed_sst\"";
    String coverage_content_type "qualityInformation";
    String ioos_category "Statistics";
    String long_name "estimated error standard deviation of analysed_sst";
    String units "degree_C";
    Float64 valid_max 327.67;
    Float64 valid_min 0.0;
  }
  mask {
    Byte _FillValue -128;
    String _Unsigned "false";
    Float64 colorBarMaximum 20.0;
    Float64 colorBarMinimum 0.0;
    String comment "flag interpretation as integer values:  1=water, 2=land, 5=lake, 9=water with ice in the grid, 13=lake with ice in the grid, 17=river";
    String coverage_content_type "referenceInformation";
    Byte flag_masks 1, 2, 4, 8, 16;
    String flag_meanings "water land optional_lake_surface sea_ice optional_river_surface";
    String ioos_category "Identifier";
    String long_name "sea/land field composite mask";
    String source "GMT \"grdlandmask\", ice flag from sea_ice_fraction data";
    String standard_name "land_binary_mask";
    Byte valid_max 31;
    Byte valid_min 1;
  }
  sea_ice_fraction {
    Float64 _FillValue -1.28;
    Float64 colorBarMaximum 1.0;
    Float64 colorBarMinimum 0.0;
    String comment "ice fraction is a dimensionless quantity between 0 and 1; it has been interpolated by a nearest neighbor approach; EUMETSAT OSI-SAF files used: ice_conc_nh_polstere-100_multi_202404211200.nc, ice_conc_sh_polstere-100_multi_202404211200.nc.";
    String coverage_content_type "auxiliaryInformation";
    String ioos_category "Ice Distribution";
    String long_name "sea ice area fraction";
    String source "EUMETSAT OSI-SAF, copyright EUMETSAT";
    String standard_name "sea_ice_area_fraction";
    Float64 valid_max 1.0;
    Float64 valid_min 0.0;
  }
  sst_anomaly {
    Float64 _FillValue -32.768;
    Float64 colorBarMaximum 3.0;
    Float64 colorBarMinimum -3.0;
    String comment "anomaly reference to the day-of-year average between 2003 and 2014";
    String coverage_content_type "auxiliaryInformation";
    String ioos_category "Temperature";
    String long_name "SST anomaly from a seasonal SST climatology based on the MUR data over 2003-2014 period";
    String standard_name "surface_temperature_anomaly";
    String units "kelvin";
    Float64 valid_max 32.767;
    Float64 valid_min -32.767;
  }
  NC_GLOBAL {
    String _NCProperties "version=2,netcdf=4.7.4,hdf5=1.8.12";
    String acknowledgement "Please acknowledge the use of these data with the following statement:  These data were provided by JPL under support by NASA MEaSUREs and COVERAGE programs.";
    String cdm_data_type "Grid";
    String comment "MUR = \"Multi-scale Ultra-high Resolution\"";
    String Conventions "CF-1.10, ACDD-1.3, COARDS";
    String creator_email "ghrsst@podaac.jpl.nasa.gov";
    String creator_institution "Jet Propulsion Laboratory";
    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 "2024-04-30";
    Float64 Easternmost_Easting 179.875;
    String gds_version_id "2.0";
    Float64 geospatial_lat_max 89.875;
    Float64 geospatial_lat_min -89.875;
    Float64 geospatial_lat_resolution 0.25;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 179.875;
    Float64 geospatial_lon_min -179.875;
    Float64 geospatial_lon_resolution 0.25;
    String geospatial_lon_units "degrees_east";
    String history 
"created at nominal 4-day latency; replaced nrt (1-day latency) version.
2024-04-30T22:14:52Z (local files)
2024-04-30T22:14:52Z http://coastwatch.pfeg.noaa.gov/erddap/griddap/jplMURSST42.das";
    String id "MUR25-JPL-L4-GLOB-v04.2";
    String infoUrl "https://podaac.jpl.nasa.gov/ws/metadata/dataset/?format=iso&shortName=MUR25-JPL-L4-GLOB-v04.2";
    String institution "Jet Propulsion Laboratory";
    String instrument "MODIS, AMSR2, AVHRR, in-situ";
    String keywords "0.25-degree, 2003-2014, analysed, analysed_sst, analysis_error, anomaly, area, based, binary, climatology, composite, cryosphere, daily, data, day, degree, deviation, distribution, earth, Earth Science > Cryosphere > Sea Ice > Ice Extent, Earth Science > Land Surface > Land Temperature > Land Surface Temperature, Earth Science > Oceans > Ocean Temperature > Sea Surface Temperature, Earth Science > Oceans > Sea Ice > Ice Extent, error, estimated, extent, field, final, foundation, fraction, high, ice, ice distribution, identifier, jet, jpl, laboratory, land, land_binary_mask, mask, multi, multi-scale, mur, ocean, oceans, over, period, product, propulsion, resolution, scale, science, sea, sea/land, sea_ice_area_fraction, sea_ice_fraction, sea_surface_foundation_temperature, seasonal, sst, sst_anomaly, standard, statistics, surface, surface_temperature_anomaly, 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=MUR25-JPL-L4-GLOB-v04.2";
    String naming_authority "org.ghrsst";
    Float64 Northernmost_Northing 89.875;
    String platform "Terra, Aqua, GCOM-W, MetOp-B, Buoys/Ships";
    String processing_level "L4";
    String product_version "04.2";
    String program "NASA Earth Science Data and Information System (ESDIS)";
    String project "NASA MEaSUREs and COVERAGE";
    String publisher_email "gpc@ghrsst.org";
    String publisher_name "GHRSST Project Office";
    String publisher_type "group";
    String publisher_url "https://www.ghrsst.org";
    String references "Chin et al. (2017) \"Remote Sensing of Environment\", volulme 200, pages 154-169.  https://dx.doi.org/10.1016/j.rse.2017.07.029";
    String sensor "MODIS, AMSR2, AVHRR, in-situ";
    String source "MODIS_T-JPL, MODIS_A-JPL, AMSR2-REMSS, AVHRRMTB_G-NAVO, iQUAM-NOAA/NESDIS, Ice_Conc-OSISAF";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing -89.875;
    String spatial_resolution "0.25 degrees";
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "A low-resolution version of the Multi-scale Ultra-high Resolution (MUR) Sea Surface Temperature (SST) analysis, a merged, multi-sensor L4 Foundation SST analysis product from Jet Propulsion Laboratory (JPL).";
    String testOutOfDate "now-3days";
    String time_coverage_end "2024-04-29T09:00:00Z";
    String time_coverage_resolution "P1D";
    String time_coverage_start "2002-09-01T09:00:00Z";
    String title "Multi-scale High Resolution (MUR) SST Analysis, SST Anomaly, fv04.2, Global, 0.25°, 2002-present";
    Float64 Westernmost_Easting -179.875;
  }
}

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.

(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.