Data Access Form

Dataset Title:	Multi-scale Ultra-high Resolution (MUR) SST Analysis fv04.2, Global, 0.25°, 2002-present, Monthly, Lon0360
Institution:	Jet Propulsion Laboratory (Dataset ID: jplMURSST42mday_Lon0360)
Information:	Summary \| License \| FGDC \| ISO 19115 \| Metadata \| Background \| Files \| Make a graph

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Dimensions	Size	Spacing
time (Centered Time, UTC)	259	30 days 10h 25m 7s (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)

sst (sea surface temperature monthly mean, degree_C)

nobs (Number of Observations)

mask (sea/land field composite mask)

sst_anomaly (sea surface temperature anomaly monthly mean, degree_C)

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 1.0321344e+9, 1.7105472e+9;
    String axis "T";
    String comment "Nominal time of analyzed fields";
    String coverage_content_type "coordinate";
    String ioos_category "Time";
    String long_name "Centered 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 -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 0.125, 359.875;
    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";
  }
  sst {
    Float64 _FillValue -999.0;
    Float64 colorBarMaximum 32.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Temperature";
    String long_name "sea surface temperature monthly mean";
    String standard_name "sea_surface_foundation_temperature";
    String units "degree_C";
  }
  nobs {
    Int32 _FillValue 2147483647;
    Float64 colorBarMaximum 31.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Statistics";
    String long_name "Number of Observations";
  }
  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;
  }
  sst_anomaly {
    Float64 _FillValue -999.0;
    Float64 colorBarMaximum 4.0;
    Float64 colorBarMinimum -4.0;
    String ioos_category "Temperature";
    String long_name "sea surface temperature anomaly monthly mean";
    String standard_name "sea_surface_foundation_temperature_anomaly";
    String units "degree_C";
  }
  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 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 creation_date "2024-04-04";
    String creator_email "erd.data@noaa.gov";
    String creator_institution "Jet Propulsion Laboratory";
    String creator_name "NOAA NMFS SWFSC ERD and NOAA NESDIS CoastWatch WCRN";
    String creator_type "institution";
    String creator_url "https://www.pfeg.noaa.gov";
    String date_created "2019-08-09";
    Float64 Easternmost_Easting 359.875;
    String easternmost_longitude "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 359.875;
    Float64 geospatial_lon_min 0.125;
    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.
2024-05-01T02:17:51Z (local files)
2024-05-01T02:17:51Z http://coastwatch.pfeg.noaa.gov/erddap/griddap/jplMURSST42mday_Lon0360.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, AMSR-E, AVHRR, in-situ";
    String keywords "0.25-degree, anomaly, binary, composite, daily, data, day, degree, earth, Earth Science > Oceans > Ocean Temperature > Sea Surface Temperature, field, final, foundation, high, identifier, jet, jpl, laboratory, land, land_binary_mask, mask, mean, month, monthly, multi, multi-scale, mur, nobs, number, observations, ocean, oceans, product, propulsion, resolution, scale, science, sea, sea/land, sea_surface_foundation_temperature, sea_surface_foundation_temperature_anomaly, sst, sst_anomaly, statistics, 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=MUR25-JPL-L4-GLOB-v04.2";
    String naming_authority "org.ghrsst";
    String northernmost_latitude "89.875";
    Float64 Northernmost_Northing 89.875;
    String platform "Terra, Aqua, NOAA-17, 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, AMSR-E, AVHRR, in-situ";
    String source "MODIS_T-JPL, MODIS_A-JPL, AMSRE-REMSS, AVHRR17_G-ACSPO, iQUAM-NOAA/NESDIS, Ice_Conc-OSISAF";
    String sourceUrl "(local files)";
    String southernmost_latitude "-89.875";
    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-58days";
    String time_coverage_end "2024-03-16T00:00:00Z";
    String time_coverage_resolution "P1D";
    String time_coverage_start "2002-09-16T00:00:00Z";
    String title 
"Multi-scale Ultra-high Resolution (MUR) SST Analysis fv04.2, Global, 0.25°,
2002-present, Monthly, Lon0360";
    Float64 Westernmost_Easting 0.125;
    String westernmost_longitude "-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.