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Dataset Title:  Multi-scale Ultra-high Resolution (MUR) SST Analysis fv04.2, Global, 0.25°,
2002-present, Monthly, Lon0360
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Institution:  Jet Propulsion Laboratory   (Dataset ID: jplMURSST42mday_Lon0360)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Files | Make a graph
Dimensions ? Start ? Stride ? Stop ?  Size ?    Spacing ?
 time (Centered Time, UTC) ?      261    30 days 13h 17m 32s (uneven)
  < slider >
 latitude (degrees_north) ?      720    0.25 (even)
  < slider >
 longitude (degrees_east) ?      1440    0.25 (even)
  < slider >
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, 1.718496e+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";
    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 "2024-07-02";
    String creator_email "";
    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 "";
    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.
2024-07-15T02:58:30Z (local files)
    String id "MUR25-JPL-L4-GLOB-v04.2";
    String infoUrl "";
    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 "";
    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 "";
    String publisher_name "GHRSST Project Office";
    String publisher_type "group";
    String publisher_url "";
    String references "Chin et al. (2017) \"Remote Sensing of Environment\", volulme 200, pages 154-169.";
    String sensor "MODIS, AMSR-E, AVHRR, in-situ";
    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 "2024-06-16T00:00:00Z";
    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.

griddap request URLs must be in the form{?query}
For example,[(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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