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Dataset Title:  Sea-Surface Temperature, NOAA Geo-polar Blended Analysis, GHRSST, Near Real-
Time, Global 5km, 2002-Present, Daily
  RSS
Institution:  NOAA NESDIS STAR   (Dataset ID: noaacwBLENDEDsstDaily)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Make a graph
 
Dimensions ? Start ? Stride ? Stop ?  Size ?    Spacing ?
 time (UTC) ?      6216    1 day 0h 1m 23s (uneven)
  < slider >
 latitude (degrees_north) ?      3600    0.05 (even)
  < slider >
 longitude (degrees_east) ?      7200    0.05 (even)
  < slider >
 
Grid Variables (which always also download all of the dimension variables)
 analysed_sst (analysed sea surface temperature, kelvin) ?
 analysis_error (estimated error standard deviation of analysed_sst, degree_C) ?
 mask (sea/land/ice bit mask) ?
 sea_ice_fraction (1) ?

File type: (more info)

(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 1.0308816e+9, 1.568376e+9;
    String axis "T";
    String calendar "Gregorian";
    String comment "Nominal time of Level 4 analysis";
    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 -89.975, 89.975;
    String axis "Y";
    String comment "equirectangular projection";
    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 -179.975, 179.975;
    String axis "X";
    String comment "equirectangular projection";
    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 {
    Float32 _FillValue -54.53;
    Float64 colorBarMaximum 305.0;
    Float64 colorBarMinimum 273.0;
    String comment "nighttime analysed SST for each ocean grid point";
    String ioos_category "Temperature";
    String long_name "analysed sea surface temperature";
    String references "Fieguth,P.W. et al. \"Mapping Mediterranean altimeter data with a multiresolution optimal interpolation algorithm\", J. Atmos. Ocean Tech, 15 (2): 535-546, 1998.     Fieguth, P. Multiply-Rooted Multiscale Models for Large-Scale Estimation, IEEE Image Processing, 10(11), 1676-1686, 2001.     Khellah, F., P.W. Fieguth, M.J. Murray and M.R. Allen, \"Statistical Processing of Large Image Sequences\", IEEE Transactions on Geoscience and Remote Sensing, 12 (1), 80-93, 2005.";
    String source "OSPO-ACSPO_VIIRS, OSPO-ACSPO_METOPB_FRAC, OSPO-GOES16_SST_L3,OSPO-GOES15_SST_L3, OSPO-METEOSAT11_SST_L3, OSPO-HIMA8_SST_L3";
    String standard_name "sea_surface_foundation_temperature";
    String units "kelvin";
    Float32 valid_max 308.15;
    Float32 valid_min 271.15;
  }
  analysis_error {
    Float32 _FillValue -327.68;
    Float64 colorBarMaximum 5.0;
    Float64 colorBarMinimum 0.0;
    String comment "Estimate of internal analysis accuracy";
    String ioos_category "Statistics";
    String long_name "estimated error standard deviation of analysed_sst";
    String units "degree_C";
    Float32 valid_max 5.0;
    Float32 valid_min 0.0;
  }
  mask {
    Byte _FillValue 0;
    String _Unsigned "false";
    Float64 colorBarMaximum 5.0;
    Float64 colorBarMinimum 0.0;
    String comment "b0: 1=grid cell is water, b1: 1=grid cell is land, b2: 1=grid cell is ice";
    String flag_meanings "water land ice";
    Byte flag_values 1, 2, 4;
    String ioos_category "Ice Distribution";
    String long_name "sea/land/ice bit mask";
    String source "NCEP 1/12th degree ice mask, OSTIA land mask";
    String standard_name "sea_land_ice_bit_mask";
    Byte valid_max 4;
    Byte valid_min 1;
  }
  sea_ice_fraction {
    Float32 _FillValue -1.28;
    Float64 colorBarMaximum 1.0;
    Float64 colorBarMinimum 0.0;
    String comment "Percentage of ice";
    String ioos_category "Ice Distribution";
    String long_name "sea ice fraction";
    String source "NCEP 1/12th degree ice mask";
    String standard_name "sea_ice_area_fraction";
    String units "1";
    Float32 valid_max 1.0;
    Float32 valid_min 0.0;
  }
  NC_GLOBAL {
    String acknowledgement "NOAA/NESDIS";
    String cdm_data_type "Grid";
    String comment "The Geo-Polar Blended Sea Surface Temperature (SST) Analysis combines multi-satellite retrievals of sea surface temperature into a single analysis of SST. This analysis includes only nighttime data.";
    String Conventions "CF-1.6, Unidata Observation Dataset v1.0, COARDS, ACDD-1.3";
    String creator_email "john.sapper@noaa.gov";
    String creator_name "Office of Satellite Products and Operations";
    String creator_type "group";
    String creator_url "www.osdpd.nesdis.noaa.gov";
    String date_created "2019-01-28T11:42:42Z";
    Float64 Easternmost_Easting 179.975;
    String gds_version_id "2.0";
    Float64 geospatial_lat_max 89.975;
    Float64 geospatial_lat_min -89.975;
    Float64 geospatial_lat_resolution 0.049999999999999996;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 179.975;
    Float64 geospatial_lon_min -179.975;
    Float64 geospatial_lon_resolution 0.049999999999999996;
    String geospatial_lon_units "degrees_east";
    String history 
"NESDIS geo-SST L1 to L2 processor, NESDIS Advanced Clear-Sky Processor for Oceans (ACSPO), NESDIS Geo-Polar 1/20th degree Blended SST Analysis
2019-09-15T07:58:00Z https://coastwatch.noaa.gov/thredds/dodsC/BlendedSST5kmNightAggGHRSSTLoM
2019-09-15T07:58:00Z https://coastwatch.noaa.gov/erddap/griddap/noaacwBLENDEDsstDaily.das";
    String id "Geo_Polar_Blended_Night-OSPO-L4-GLOB-v1.0";
    String infoUrl "https://podaac.jpl.nasa.gov/dataset/Geo_Polar_Blended_Night-OSPO-L4-GLOB-v1.0";
    String institution "NOAA NESDIS STAR";
    String keywords "analysed, analysed_sst, analysis_error, blended, cryosphere, data, deviation, distribution, earth, Earth Science > Cryosphere > Sea Ice > Ice Extent, Earth Science > Oceans > Ocean Temperature > Sea Surface Temperature, Earth Science > Oceans > Sea Ice > Ice Extent, error, estimated, extent, foundation, fraction, global, ice, ice distribution, infrared, input, land, mask, night, ocean, oceans, office, only, operations, over, products, satellite, science, sea, sea/land/ice, sea_ice_area_fraction, sea_ice_fraction, sea_land_ice_bit_mask, sea_surface_foundation_temperature, sst, standard, statistics, surface, temperature, time";
    String keywords_vocabulary "GCMD Science Keywords";
    String license "GHRSST protocol describes data use as free and open";
    String metadata_link "https://podaac.jpl.nasa.gov/ws/metadata/dataset?format=iso&shortName=Geo_Polar_Blended_Night-OSPO-L4-GLOB-v1.0";
    String naming_authority "org.ghrsst";
    Float64 Northernmost_Northing 89.975;
    String platform "Suomi NPP, MetOp-B, GOESE (GOES-16), GOESW (GOES-15), Meteosat-11, Meteosat-08, Himawari-8";
    String processing_level "L4";
    String product_version "1.0";
    String project "Group for High Resolution Sea Surface Temperature";
    String publisher_email "ghrsst-po@nceo.ac.uk";
    String publisher_name "The GHRSST Project Office";
    String publisher_type "group";
    String publisher_url "https://www.ghrsst.org";
    String references "Fieguth,P.W. et al. \"Mapping Mediterranean altimeter data with a multiresolution optimal interpolation algorithm\", J. Atmos. Ocean Tech, 15 (2): 535-546, 1998.     Fieguth, P. Multiply-Rooted Multiscale Models for Large-Scale Estimation, IEEE Image Processing, 10(11), 1676-1686, 2001.     Khellah, F., P.W. Fieguth, M.J. Murray and M.R. Allen, \"Statistical Processing of Large Image Sequences\", IEEE Transactions on Geoscience and Remote Sensing, 12 (1), 80-93, 2005.";
    String sensor "VIIRS, AVHRR, ABI, Imager, SEVIRI, SEVIRI, AHI";
    String source "OSPO-ACSPO_VIIRS, OSPO-ACSPO_METOPB_FRAC, OSPO-GOES16_SST_L3, OSPO-GOES15_SST_L3, OSPO-METEOSAT11_SST_L3, OSPO-HIMA8_SST_L3";
    String sourceUrl "https://coastwatch.noaa.gov/thredds/dodsC/BlendedSST5kmNightAggGHRSSTLoM";
    Float64 Southernmost_Northing -89.975;
    String spatial_resolution "0.05 degree";
    String standard_name_vocabulary "CF Standard Name Table v29";
    String summary "Analyzed blended sea surface temperature over the global ocean using night only input data. An SST estimation scheme which combines multi-satellite retrievals of sea surface temperature datasets available from polar orbiters, geostationary InfraRed (IR) and microwave sensors into a single global analysis. This global SST analysis provides a daily gap-free map of the foundation sea surface temperature at 0.05º spatial resolution. Note 2002-2016 is a reanalysis.  2017-present is near real-time processing.";
    String time_coverage_end "2019-09-13T12:00:00Z";
    String time_coverage_start "2002-09-01T12:00:00Z";
    String title "Sea-Surface Temperature, NOAA Geo-polar Blended Analysis, GHRSST, Near Real-Time, Global 5km, 2002-Present, Daily";
    Float64 Westernmost_Easting -179.975;
  }
}

 

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
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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