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Dataset Title:  SST, NOAA Geo-Polar Blended Global Level 4, STAR (Science Quality, 2002-2016),
0.05°, Nighttime
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Institution:  Office of Satellite Products and Operations   (Dataset ID: nesdisGeoPolarSSTN5SQ)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Make a graph
 
Dimensions ? Start ? Stride ? Stop ?  Size ?    Spacing ?
 time (UTC) ?      5236    1 day (even)
  < 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, degree_C) ?
 analysis_error (estimated error standard deviation of analysed_sst, degree_C) ?
 sea_ice_fraction (1) ?
 mask (sea/land/ice bit mask) ?

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, 1.4831856e+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 -327.68;
    Float64 colorBarMaximum 32.0;
    Float64 colorBarMinimum 0.0;
    String comment "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.     Maturi, E., A. Harris, J. Mittaz, J. Sapper, G. Wick, X. Zhu, P. Dash, P. Koner, \"A New High-Resolution Sea Surface Temperature Blended Analysis\", Bulleting of the American Meteorological Society, 98 (5), 1015-1026, 2017.";
    String source "STAR-ACSPO_GAC, STAR-ACSPO_H-8, STAR-Geo_SST, UKMO-OSTIA";
    String standard_name "sea_surface_foundation_temperature";
    String units "degree_C";
    Float32 valid_max 39.999992;
    Float32 valid_min -2.0000062;
  }
  analysis_error {
    Float32 _FillValue -327.68;
    Float64 colorBarMaximum 1.0;
    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;
  }
  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 "OSTIA reanalysis ice mask";
    String standard_name "sea_ice_area_fraction";
    String units "1";
    Float32 valid_max 1.0;
    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 "OSTIA reanalysis land mask";
    String standard_name "sea_land_ice_bit_mask";
    Byte valid_max 4;
    Byte valid_min 1;
  }
  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";
    String Conventions "CF-1.6, Unidata Observation Dataset v1.0, COARDS, ACDD-1.3";
    String creator_email "andy.harris@noaa.gov";
    String creator_name "Satellite Applications and Research";
    String creator_url "www.star.nesdis.noaa.gov";
    String date_created "2017-06-22T16:02:40Z";
    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 
"Fri Oct 19 13:41:12 2018: ncatted -a add_offset,analysed_sst,o,f,273.15 ./2016.obsolete/20161230000000-STAR-L4_GHRSST-SSTfnd-Geo_Polar_Blended_Night-GLOB-v02.0-fv01.0.nc
Fri Oct 19 13:28:39 2018: ncatted -a add_offset,analysis_error,o,f,0. ./2016.obsolete/20161230000000-STAR-L4_GHRSST-SSTfnd-Geo_Polar_Blended_Night-GLOB-v02.0-fv01.0.nc
NESDIS geo-SST L1 to L2 processor, NESDIS Advanced Clear-Sky Processor for Oceans (ACSPO), NESDIS Geo-Polar 1/20th degree Blended SST Analysis
2019-04-22T08:32:44Z https://www.star.nesdis.noaa.gov/thredds/dodsC/BlendedSST5kmNightAggGHRSSTSTARLoM
2019-04-22T08:32:44Z http://coastwatch.pfeg.noaa.gov/erddap/griddap/nesdisGeoPolarSSTN5SQ.das";
    String id "Geo_Polar_Blended_Night-STAR-L4-GLOB-v1.0";
    String infoUrl "https://podaac.jpl.nasa.gov/dataset/Geo_Polar_Blended_Night-STAR-L4-GLOB-v1.0";
    String institution "Office of Satellite Products and Operations";
    String keywords "analysed, analysed_sst, analysis_error, area, bit, blended, blendedsst5kmnightaggghrsststarlom, 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, land, latitude, longitude, mask, ocean, oceans, office, 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-STAR-L4-GLOB-v1.0";
    String naming_authority "org.ghrsst";
    Float64 Northernmost_Northing 89.975;
    String platform "NOAA-16, NOAA-17, NOAA-18, NOAA-19, MetOpA, Himawari-8, GOES10, GOES11, GOES12, GOES13, GOES15, MTSAT1R, MTSAT2";
    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.     Maturi, E., A. Harris, J. Mittaz, J. Sapper, G. Wick, X. Zhu, P. Dash, P. Koner, \"A New High-Resolution Sea Surface Temperature Blended Analysis\", Bulleting of the American Meteorological Society, 98 (5), 1015-1026, 2017.";
    String sensor "AVHRR_GAC, AHI, GOES_Imager, JAMI";
    String source "STAR-ACSPO_GAC, STAR-ACSPO_H-8, STAR-Geo_SST, UKMO-OSTIA";
    String sourceUrl "https://www.star.nesdis.noaa.gov/thredds/dodsC/BlendedSST5kmNightAggGHRSSTSTARLoM";
    Float64 Southernmost_Northing -89.975;
    String spatial_resolution "0.05 degree";
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary "Analysed blended sea surface temperature over the global ocean. 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 ananlysis provide a daily gap free map of the foundation sea surface temperature at 0.05° spatial resolution.";
    String time_coverage_end "2016-12-31T12:00:00Z";
    String time_coverage_start "2002-09-01T12:00:00Z";
    String title "SST, NOAA Geo-Polar Blended Global Level 4, STAR (Science Quality, 2002-2016), 0.05°, Nighttime";
    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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