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ERDDAP
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Dataset Title: | Sea Surface Temperature, NOAA geopolar blended - Cumulative mean 2018 (2017 Reanalysis) ![]() ![]() |
Institution: | Office of Satellite Products and Operations (Dataset ID: goes-poes-ghrsst-RAN-2018-clim) |
Information: | Summary ![]() ![]() ![]() |
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Attributes { time { String _CoordinateAxisType "Time"; Float64 actual_range 1.5198192e+9, 1.5198192e+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 0.025, 359.975; 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 360.0; Float32 valid_min 0.0; } analysed_sst { Float32 _FillValue NaN; 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-GOES13_SST_L3,OSPO-GOES15_SST_L3, OSPO-METEOSAT10_SST_L3, OSPO-MTSAT2_SST_L3"; String standard_name "sea_surface_foundation_temperature"; String units "degree_K"; Float32 valid_max 3500.0; Float32 valid_min -200.0; } 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 "2018-03-01T13:06:20Z"; Float64 Easternmost_Easting 359.975; 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 359.975; Float64 geospatial_lon_min 0.025; Float64 geospatial_lon_resolution 0.05000000000000001; String geospatial_lon_units "degrees_east"; String history "Tue Feb 5 12:16:18 2019: ncatted -O -a easternmost_longitude,global,o,f,360.0 /mnt/r01/data/goes-poes_ghrsst/daily/20180228000000-OSPO-L4_GHRSST-SSTfnd-Geo_Polar_Blended_Night-GLOB-v02.0-fv01.0-0-360.nc Tue Feb 5 12:16:18 2019: ncatted -O -a westernmost_longitude,global,o,f,0.0 /mnt/r01/data/goes-poes_ghrsst/daily/20180228000000-OSPO-L4_GHRSST-SSTfnd-Geo_Polar_Blended_Night-GLOB-v02.0-fv01.0-0-360.nc Tue Feb 5 12:16:18 2019: ncatted -O -a valid_max,lon,o,f,360.0 /mnt/r01/data/goes-poes_ghrsst/daily/20180228000000-OSPO-L4_GHRSST-SSTfnd-Geo_Polar_Blended_Night-GLOB-v02.0-fv01.0-0-360.nc Tue Feb 5 12:16:17 2019: ncatted -O -a valid_min,lon,o,f,0.0 /mnt/r01/data/goes-poes_ghrsst/daily/20180228000000-OSPO-L4_GHRSST-SSTfnd-Geo_Polar_Blended_Night-GLOB-v02.0-fv01.0-0-360.nc Mon Jan 28 10:52:10 2019: ncap2 -O -s where(lon<0) lon=lon+360 20180228000000-OSPO-L4_GHRSST-SSTfnd-Geo_Polar_Blended_Night-GLOB-v02.0-fv01.0-0-360.nc 20180228000000-OSPO-L4_GHRSST-SSTfnd-Geo_Polar_Blended_Night-GLOB-v02.0-fv01.0-0-360.nc Mon Jan 28 10:52:01 2019: ncks -O --msa_usr_rdr -d lon,0.0,180.0 -d lon,-180.0,0.0 20180228000000-OSPO-L4_GHRSST-SSTfnd-Geo_Polar_Blended_Night-GLOB-v02.0-fv01.0.nc 20180228000000-OSPO-L4_GHRSST-SSTfnd-Geo_Polar_Blended_Night-GLOB-v02.0-fv01.0-0-360.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 2023-10-02T21:52:09Z (local files) 2023-10-02T21:52:09Z https://oceanwatch.pifsc.noaa.gov/griddap/goes-poes-ghrsst-RAN-2018-clim.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 "Office of Satellite Products and Operations"; String keywords "analysed, analysed_sst, blended, data, earth, Earth Science > Oceans > Ocean Temperature > Sea Surface Temperature, foundation, global, infrared, input, night, ocean, oceans, office, only, operations, over, products, satellite, science, sea, sea_surface_foundation_temperature, sst, surface, temperature, time, using"; 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"; String NCO "4.3.7"; Int32 nco_openmp_thread_number 1; Float64 Northernmost_Northing 89.975; String platform "Suomi NPP, MetOpB, GOESE (GOES-13), GOESW (GOES-15), mtsat-2"; 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_FRAC, GOES_Imager, GOES_Imager, AHI"; String source "OSPO-ACSPO_VIIRS, OSPO-ACSPO_METOPB_FRAC, OSPO-GOES13_SST_L3, OSPO-GOES15_SST_L3, OSPO-METEOSAT10_SST_L3, OSPO-MTSAT2_SST_L3"; String sourceUrl "(local files)"; Float64 Southernmost_Northing -89.975; String spatial_resolution "0.05 degree"; String standard_name_vocabulary "CF Standard Name Table v29"; String summary "Analysed 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 ananlysis provide a daily gap free map of the foundation sea surface temperature at 0.05o spatial resolution."; String time_coverage_end "2018-02-28T12:00:00Z"; String time_coverage_start "2018-02-28T12:00:00Z"; String title "Sea Surface Temperature, NOAA geopolar blended - Cumulative mean 2018 (2017 Reanalysis)"; Float64 Westernmost_Easting 0.025; } }
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[(2015-06-09T09:00:00Z)][(-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.