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ERDDAP
Easier access to scientific data |
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Dataset Title: | Sea Surface Temperature, NOAA geopolar blended - Monthly, 2002-Present (2017 Reanalysis) ![]() ![]() |
Institution: | Office of Satellite Products and Operations (Dataset ID: goes-poes-monthly-ghrsst-RAN) |
Information: | Summary ![]() ![]() ![]() |
Attributes { time { String _CoordinateAxisType "Time"; Float64 actual_range 1.0312272e+9, 1.69884e+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 standard_name "sea_surface_foundation_temperature"; String units "degree_K"; Float32 valid_max 4000.0; Float32 valid_min -200.0; } sea_ice_fraction { Float32 _FillValue NaN; 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 100.0; 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 "2018-12-26T10:43:22Z"; 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 Dec 5 05:51:20 2023: ncea -v analysed_sst,sea_ice_fraction /mnt/r01/data/goes-poes_ghrsst/daily/20231101000000-OSPO-L4_GHRSST-SSTfnd-Geo_Polar_Blended_Night-GLOB-v02.0-fv01.0-0-360.nc /mnt/r01/data/goes-poes_ghrsst/daily/20231102000000-OSPO-L4_GHRSST-SSTfnd-Geo_Polar_Blended_Night-GLOB-v02.0-fv01.0-0-360.nc /mnt/r01/data/goes-poes_ghrsst/daily/20231103000000-OSPO-L4_GHRSST-SSTfnd-Geo_Polar_Blended_Night-GLOB-v02.0-fv01.0-0-360.nc /mnt/r01/data/goes-poes_ghrsst/daily/20231104000000-OSPO-L4_GHRSST-SSTfnd-Geo_Polar_Blended_Night-GLOB-v02.0-fv01.0-0-360.nc /mnt/r01/data/goes-poes_ghrsst/daily/20231105000000-OSPO-L4_GHRSST-SSTfnd-Geo_Polar_Blended_Night-GLOB-v02.0-fv01.0-0-360.nc /mnt/r01/data/goes-poes_ghrsst/daily/20231106000000-OSPO-L4_GHRSST-SSTfnd-Geo_Polar_Blended_Night-GLOB-v02.0-fv01.0-0-360.nc /mnt/r01/data/goes-poes_ghrsst/daily/20231107000000-OSPO-L4_GHRSST-SSTfnd-Geo_Polar_Blended_Night-GLOB-v02.0-fv01.0-0-360.nc /mnt/r01/data/goes-poes_ghrsst/daily/20231108000000-OSPO-L4_GHRSST-SSTfnd-Geo_Polar_Blended_Night-GLOB-v02.0-fv01.0-0-360.nc /mnt/r01/data/goes-poes_ghrsst/daily/20231109000000-OSPO-L4_GHRSST-SSTfnd-Geo_Polar_Blended_Night-GLOB-v02.0-fv01.0-0-360.nc /mnt/r01/data/goes-poes_ghrsst/daily/20231110000000-OSPO-L4_GHRSST-SSTfnd-Geo_Polar_Blended_Night-GLOB-v02.0-fv01.0-0-360.nc /mnt/r01/data/goes-poes_ghrsst/daily/20231111000000-OSPO-L4_GHRSST-SSTfnd-Geo_Polar_Blended_Night-GLOB-v02.0-fv01.0-0-360.nc /mnt/r01/data/goes-poes_ghrsst/daily/20231112000000-OSPO-L4_GHRSST-SSTfnd-Geo_Polar_Blended_Night-GLOB-v02.0-fv01.0-0-360.nc /mnt/r01/data/goes-poes_ghrsst/daily/20231113000000-OSPO-L4_GHRSST-SSTfnd-Geo_Polar_Blended_Night-GLOB-v02.0-fv01.0-0-360.nc /mnt/r01/data/goes-poes_ghrsst/daily/20231114000000-OSPO-L4_GHRSST-SSTfnd-Geo_Polar_Blended_Night-GLOB-v02.0-fv01.0-0-360.nc /mnt/r01/data/goes-poes_ghrsst/daily/20231115000000-OSPO-L4_GHRSST-SSTfnd-Geo_Polar_Blended_Night-GLOB-v02.0-fv01.0-0-360.nc /mnt/r01/data/goes-poes_ghrsst/daily/20231116000000-OSPO-L4_GHRSST-SSTfnd-Geo_Polar_Blended_Night-GLOB-v02.0-fv01.0-0-360.nc /mnt/r01/data/goes-poes_ghrsst/daily/20231117000000-OSPO-L4_GHRSST-SSTfnd-Geo_Polar_Blended_Night-GLOB-v02.0-fv01.0-0-360.nc /mnt/r01/data/goes-poes_ghrsst/daily/20231118000000-OSPO-L4_GHRSST-SSTfnd-Geo_Polar_Blended_Night-GLOB-v02.0-fv01.0-0-360.nc /mnt/r01/data/goes-poes_ghrsst/daily/20231119000000-OSPO-L4_GHRSST-SSTfnd-Geo_Polar_Blended_Night-GLOB-v02.0-fv01.0-0-360.nc /mnt/r01/data/goes-poes_ghrsst/daily/20231120000000-OSPO-L4_GHRSST-SSTfnd-Geo_Polar_Blended_Night-GLOB-v02.0-fv01.0-0-360.nc /mnt/r01/data/goes-poes_ghrsst/daily/20231121000000-OSPO-L4_GHRSST-SSTfnd-Geo_Polar_Blended_Night-GLOB-v02.0-fv01.0-0-360.nc /mnt/r01/data/goes-poes_ghrsst/daily/20231122000000-OSPO-L4_GHRSST-SSTfnd-Geo_Polar_Blended_Night-GLOB-v02.0-fv01.0-0-360.nc /mnt/r01/data/goes-poes_ghrsst/daily/20231123000000-OSPO-L4_GHRSST-SSTfnd-Geo_Polar_Blended_Night-GLOB-v02.0-fv01.0-0-360.nc /mnt/r01/data/goes-poes_ghrsst/daily/20231124000000-OSPO-L4_GHRSST-SSTfnd-Geo_Polar_Blended_Night-GLOB-v02.0-fv01.0-0-360.nc /mnt/r01/data/goes-poes_ghrsst/daily/20231125000000-OSPO-L4_GHRSST-SSTfnd-Geo_Polar_Blended_Night-GLOB-v02.0-fv01.0-0-360.nc /mnt/r01/data/goes-poes_ghrsst/daily/20231126000000-OSPO-L4_GHRSST-SSTfnd-Geo_Polar_Blended_Night-GLOB-v02.0-fv01.0-0-360.nc /mnt/r01/data/goes-poes_ghrsst/daily/20231127000000-OSPO-L4_GHRSST-SSTfnd-Geo_Polar_Blended_Night-GLOB-v02.0-fv01.0-0-360.nc /mnt/r01/data/goes-poes_ghrsst/daily/20231128000000-OSPO-L4_GHRSST-SSTfnd-Geo_Polar_Blended_Night-GLOB-v02.0-fv01.0-0-360.nc /mnt/r01/data/goes-poes_ghrsst/daily/20231129000000-OSPO-L4_GHRSST-SSTfnd-Geo_Polar_Blended_Night-GLOB-v02.0-fv01.0-0-360.nc /mnt/r01/data/goes-poes_ghrsst/daily/20231130000000-OSPO-L4_GHRSST-SSTfnd-Geo_Polar_Blended_Night-GLOB-v02.0-fv01.0-0-360.nc 202311-gp-monthly.nc Thu Nov 2 02:05:24 2023: ncatted -O -a easternmost_longitude,global,o,f,360.0 20231101000000-OSPO-L4_GHRSST-SSTfnd-Geo_Polar_Blended_Night-GLOB-v02.0-fv01.0-0-360.nc Thu Nov 2 02:05:24 2023: ncatted -O -a westernmost_longitude,global,o,f,0.0 20231101000000-OSPO-L4_GHRSST-SSTfnd-Geo_Polar_Blended_Night-GLOB-v02.0-fv01.0-0-360.nc Thu Nov 2 02:05:24 2023: ncatted -O -a valid_max,lon,o,f,360.0 20231101000000-OSPO-L4_GHRSST-SSTfnd-Geo_Polar_Blended_Night-GLOB-v02.0-fv01.0-0-360.nc Thu Nov 2 02:05:24 2023: ncatted -O -a valid_min,lon,o,f,0.0 20231101000000-OSPO-L4_GHRSST-SSTfnd-Geo_Polar_Blended_Night-GLOB-v02.0-fv01.0-0-360.nc Thu Nov 2 02:05:16 2023: ncap2 -O -s where(lon<0) lon=lon+360 20231101000000-OSPO-L4_GHRSST-SSTfnd-Geo_Polar_Blended_Night-GLOB-v02.0-fv01.0-0-360.nc 20231101000000-OSPO-L4_GHRSST-SSTfnd-Geo_Polar_Blended_Night-GLOB-v02.0-fv01.0-0-360.nc Thu Nov 2 02:05:07 2023: ncks -O --msa_usr_rdr -d lon,0.0,180.0 -d lon,-180.0,0.0 20231101000000-OSPO-L4_GHRSST-SSTfnd-Geo_Polar_Blended_Night-GLOB-v02.0-fv01.0.nc 20231101000000-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 2023-12-06T04:45:44Z (local files) 2023-12-06T04:45:44Z https://oceanwatch.pifsc.noaa.gov/erddap/griddap/goes-poes-monthly-ghrsst-RAN.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, area, blended, cryosphere, data, distribution, earth, Earth Science > Cryosphere > Sea Ice > Ice Extent, Earth Science > Oceans > Ocean Temperature > Sea Surface Temperature, Earth Science > Oceans > Sea Ice > Ice Extent, extent, foundation, fraction, global, ice, ice distribution, infrared, input, night, ocean, oceans, office, only, operations, over, products, satellite, science, sea, sea_ice_area_fraction, sea_ice_fraction, 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 "netCDF Operators version 4.7.5 (Homepage = http://nco.sf.net, Code = https://github.com/nco/nco)"; Int32 nco_openmp_thread_number 1; Float64 Northernmost_Northing 89.975; String platform "goes-16, goes-18, himawari-9, metop-b, metop-c, meteosat-9, meteosat-10, NOAA-20, S-NPP,"; 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 "abi, abi, ahi, avhrr, avhrr, severi, severi, viirs, viirs,"; String source "OSPO_acspoSST_GOES16_ABI, OSPO_acspoSST_GOES18_ABI, STAR_acspoSST_HIMAWARI-9_AHI, OSPO_acspoSST_METOPB_AVHRR, OSPO_acspoSST_METOPC_AVHRR, OSPO_geoSST_METEOSAT9_severi, OSPO_geoSST_METEOSAT10_severi, OSPO_acspoSST_NOAA20_VIIRS, OSPO_acspoSST_S-NPP_VIIRS,"; 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 "Monthly composite of 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 analysis provides a daily gap free map of the foundation sea surface temperature at 0.05º spatial resolution. The monthly composites were generated from daily files by OceanWatch Central Pacific"; String time_coverage_end "2023-11-01T12:00:00Z"; String time_coverage_start "2002-09-05T12:00:00Z"; String title "Sea Surface Temperature, NOAA geopolar blended - Monthly, 2002-Present (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.