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Dataset Title:  GHRSST Global 1-km Sea Surface Temperature (G1SST), Global, 0.01 Degree, 2010-
2017, Daily, Lon0360
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Institution:  NASA JPL   (Dataset ID: jplG1SST_Lon0360)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Make a graph
Dimensions ? Start ? Stride ? Stop ?  Size ?    Spacing ?
 time (Start Time, UTC) ?      2632    1 day 0h 11m 46s (uneven)
  < slider >
 latitude (degrees_north) ?      16000    0.01 (even)
  < slider >
 longitude (degrees_east) ?      36000    0.01 (even)
  < slider >
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)

(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 1.2760848e+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 0.005, 359.995;
    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";
    String cdm_data_type "Grid";
    String contact "";
    String Conventions "CF-1.6, COARDS, ACDD-1.3";
    String creator_email "";
    String creator_name "The JPL G1SST Team";
    String creator_type "group";
    String creator_url "";
    String DSD_entry_id "JPL_OUROCEAN-L4UHfnd-GLOB-G1SST";
    Float64 Easternmost_Easting 359.995;
    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 359.995;
    Float64 geospatial_lon_min 0.005;
    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 to NOAA NMFS SWFSC ERD.
    String infoUrl "";
    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 sourceUrl "";
    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 .
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,
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, Lon0360";
    Float64 Westernmost_Easting 0.005;


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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