Source:
https://oceanwatch.pifsc.noaa.gov/erddap/griddap/goes-poes-monthly-ghrsst-RAN
Format:
classic
Global Attributes:
acknowledgement = 'NOAA/NESDIS'
cdm_data_type = 'Grid'
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.'
Conventions = 'CF-1.6, Unidata Observation Dataset v1.0, COARDS, ACDD-1.3'
creator_email = 'john.sapper@noaa.gov'
creator_name = 'Office of Satellite Products and Operations'
creator_type = 'group'
creator_url = 'www.osdpd.nesdis.noaa.gov'
date_created = '2018-12-26T10:43:22Z'
Easternmost_Easting = 359.975
gds_version_id = '2.0'
geospatial_lat_max = 89.975
geospatial_lat_min = -89.975
geospatial_lat_resolution = 0.05
geospatial_lat_units = 'degrees_north'
geospatial_lon_max = 359.975
geospatial_lon_min = 0.025
geospatial_lon_resolution = 0.05
geospatial_lon_units = 'degrees_east'
history = 'Fri Apr 15 05:39:25 2022: ncea -v analysed_sst,sea_ice_fraction /mnt/r01/data/goes-poes_ghrsst/daily/20220301000000-OSPO-L4_GHRSST-SSTfnd-Geo_Polar_Blended_Night-GLOB-v02.0-fv01.0-0-360.nc /mnt/r01/data/goes-poes_ghrsst/daily/20220302000000-OSPO-L4_GHRSST-SSTfnd-Geo_Polar_Blended_Night-GLOB-v02.0-fv01.0-0-360.nc /mnt/r01/data/goes-poes_ghrsst/daily/20220303000000-OSPO-L4_GHRSST-SSTfnd-Geo_Polar_Blended_Night-GLOB-v02.0-fv01.0-0-360.nc /mnt/r01/data/goes-poes_ghrsst/daily/20220304000000-OSPO-L4_GHRSST-SSTfnd-Geo_Polar_Blended_Night-GLOB-v02.0-fv01.0-0-360.nc /mnt/r01/data/goes-poes_ghrsst/daily/20220305000000-OSPO-L4_GHRSST-SSTfnd-Geo_Polar_Blended_Night-GLOB-v02.0-fv01.0-0-360.nc /mnt/r01/data/goes-poes_ghrsst/daily/20220306000000-OSPO-L4_GHRSST-SSTfnd-Geo_Polar_Blended_Night-GLOB-v02.0-fv01.0-0-360.nc /mnt/r01/data/goes-poes_ghrsst/daily/20220307000000-OSPO-L4_GHRSST-SSTfnd-Geo_Polar_Blended_Night-GLOB-v02.0-fv01.0-0-360.nc /mnt/r01/data/goes-poes_ghrsst/daily/20220308000000-OSPO-L4_GHRSST-SSTfnd-Geo_Polar_Blended_Night-GLOB-v02.0-fv01.0-0-360.nc /mnt/r01/data/goes-poes_ghrsst/daily/20220309000000-OSPO-L4_GHRSST-SSTfnd-Geo_Polar_Blended_Night-GLOB-v02.0-fv01.0-0-360.nc /mnt/r01/data/goes-poes_ghrsst/daily/20220310000000-OSPO-L4_GHRSST-SSTfnd-Geo_Polar_Blended_Night-GLOB-v02.0-fv01.0-0-360.nc /mnt/r01/data/goes-poes_ghrsst/daily/20220311000000-OSPO-L4_GHRSST-SSTfnd-Geo_Polar_Blended_Night-GLOB-v02.0-fv01.0-0-360.nc /mnt/r01/data/goes-poes_ghrsst/daily/20220312000000-OSPO-L4_GHRSST-SSTfnd-Geo_Polar_Blended_Night-GLOB-v02.0-fv01.0-0-360.nc /mnt/r01/data/goes-poes_ghrsst/daily/20220313000000-OSPO-L4_GHRSST-SSTfnd-Geo_Polar_Blended_Night-GLOB-v02.0-fv01.0-0-360.nc /mnt/r01/data/goes-poes_ghrsst/daily/20220314000000-OSPO-L4_GHRSST-SSTfnd-Geo_Polar_Blended_Night-GLOB-v02.0-fv01.0-0-360.nc /mnt/r01/data/goes-poes_ghrsst/daily/20220315000000-OSPO-L4_GHRSST-SSTfnd-Geo_Polar_Blended_Night-GLOB-v02.0-fv01.0-0-360.nc /mnt/r01/data/goes-poes_ghrsst/daily/20220316000000-OSPO-L4_GHRSST-SSTfnd-Geo_Polar_Blended_Night-GLOB-v02.0-fv01.0-0-360.nc /mnt/r01/data/goes-poes_ghrsst/daily/20220317000000-OSPO-L4_GHRSST-SSTfnd-Geo_Polar_Blended_Night-GLOB-v02.0-fv01.0-0-360.nc /mnt/r01/data/goes-poes_ghrsst/daily/20220318000000-OSPO-L4_GHRSST-SSTfnd-Geo_Polar_Blended_Night-GLOB-v02.0-fv01.0-0-360.nc /mnt/r01/data/goes-poes_ghrsst/daily/20220319000000-OSPO-L4_GHRSST-SSTfnd-Geo_Polar_Blended_Night-GLOB-v02.0-fv01.0-0-360.nc /mnt/r01/data/goes-poes_ghrsst/daily/20220320000000-OSPO-L4_GHRSST-SSTfnd-Geo_Polar_Blended_Night-GLOB-v02.0-fv01.0-0-360.nc /mnt/r01/data/goes-poes_ghrsst/daily/20220321000000-OSPO-L4_GHRSST-SSTfnd-Geo_Polar_Blended_Night-GLOB-v02.0-fv01.0-0-360.nc /mnt/r01/data/goes-poes_ghrsst/daily/20220322000000-OSPO-L4_GHRSST-SSTfnd-Geo_Polar_Blended_Night-GLOB-v02.0-fv01.0-0-360.nc /mnt/r01/data/goes-poes_ghrsst/daily/20220323000000-OSPO-L4_GHRSST-SSTfnd-Geo_Polar_Blended_Night-GLOB-v02.0-fv01.0-0-360.nc /mnt/r01/data/goes-poes_ghrsst/daily/20220324000000-OSPO-L4_GHRSST-SSTfnd-Geo_Polar_Blended_Night-GLOB-v02.0-fv01.0-0-360.nc /mnt/r01/data/goes-poes_ghrsst/daily/20220325000000-OSPO-L4_GHRSST-SSTfnd-Geo_Polar_Blended_Night-GLOB-v02.0-fv01.0-0-360.nc /mnt/r01/data/goes-poes_ghrsst/daily/20220326000000-OSPO-L4_GHRSST-SSTfnd-Geo_Polar_Blended_Night-GLOB-v02.0-fv01.0-0-360.nc /mnt/r01/data/goes-poes_ghrsst/daily/20220327000000-OSPO-L4_GHRSST-SSTfnd-Geo_Polar_Blended_Night-GLOB-v02.0-fv01.0-0-360.nc /mnt/r01/data/goes-poes_ghrsst/daily/20220328000000-OSPO-L4_GHRSST-SSTfnd-Geo_Polar_Blended_Night-GLOB-v02.0-fv01.0-0-360.nc /mnt/r01/data/goes-poes_ghrsst/daily/20220329000000-OSPO-L4_GHRSST-SSTfnd-Geo_Polar_Blended_Night-GLOB-v02.0-fv01.0-0-360.nc /mnt/r01/data/goes-poes_ghrsst/daily/20220330000000-OSPO-L4_GHRSST-SSTfnd-Geo_Polar_Blended_Night-GLOB-v02.0-fv01.0-0-360.nc /mnt/r01/data/goes-poes_ghrsst/daily/20220331000000-OSPO-L4_GHRSST-SSTfnd-Geo_Polar_Blended_Night-GLOB-v02.0-fv01.0-0-360.nc 202203-gp-monthly.nc
Wed Mar 2 02:05:24 2022: ncatted -O -a easternmost_longitude,global,o,f,360.0 20220301000000-OSPO-L4_GHRSST-SSTfnd-Geo_Polar_Blended_Night-GLOB-v02.0-fv01.0-0-360.nc
Wed Mar 2 02:05:24 2022: ncatted -O -a westernmost_longitude,global,o,f,0.0 20220301000000-OSPO-L4_GHRSST-SSTfnd-Geo_Polar_Blended_Night-GLOB-v02.0-fv01.0-0-360.nc
Wed Mar 2 02:05:24 2022: ncatted -O -a valid_max,lon,o,f,360.0 20220301000000-OSPO-L4_GHRSST-SSTfnd-Geo_Polar_Blended_Night-GLOB-v02.0-fv01.0-0-360.nc
Wed Mar 2 02:05:24 2022: ncatted -O -a valid_min,lon,o,f,0.0 20220301000000-OSPO-L4_GHRSST-SSTfnd-Geo_Polar_Blended_Night-GLOB-v02.0-fv01.0-0-360.nc
Wed Mar 2 02:05:16 2022: ncap2 -O -s where(lon<0) lon=lon+360 20220301000000-OSPO-L4_GHRSST-SSTfnd-Geo_Polar_Blended_Night-GLOB-v02.0-fv01.0-0-360.nc 20220301000000-OSPO-L4_GHRSST-SSTfnd-Geo_Polar_Blended_Night-GLOB-v02.0-fv01.0-0-360.nc
Wed Mar 2 02:05:08 2022: ncks -O --msa_usr_rdr -d lon,0.0,180.0 -d lon,-180.0,0.0 20220301000000-OSPO-L4_GHRSST-SSTfnd-Geo_Polar_Blended_Night-GLOB-v02.0-fv01.0.nc 20220301000000-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
2022-04-15T23:55:19Z (local files)
2022-04-15T23:55:19Z https://oceanwatch.pifsc.noaa.gov/erddap/griddap/goes-poes-monthly-ghrsst-RAN.das'
id = 'Geo_Polar_Blended_Night-OSPO-L4-GLOB-v1.0'
infoUrl = 'https://podaac.jpl.nasa.gov/dataset/Geo_Polar_Blended_Night-OSPO-L4-GLOB-v1.0'
institution = 'Office of Satellite Products and Operations'
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'
keywords_vocabulary = 'GCMD Science Keywords'
license = 'GHRSST protocol describes data use as free and open'
metadata_link = 'https://podaac.jpl.nasa.gov/ws/metadata/dataset?format=iso&shortName=Geo_Polar_Blended_Night-OSPO-L4-GLOB-v1.0'
naming_authority = 'org.ghrsst'
NCO = 'netCDF Operators version 4.7.5 (Homepage = http://nco.sf.net, Code = https://github.com/nco/nco)'
nco_openmp_thread_number = 1
Northernmost_Northing = 89.975
platform = 'Suomi NPP, MetOp-B, GOESE (GOES-16), GOESW (GOES-15), Meteosat-11, Meteosat-08, Himawari-8'
processing_level = 'L4'
product_version = '1.0'
project = 'Group for High Resolution Sea Surface Temperature'
publisher_email = 'ghrsst-po@nceo.ac.uk'
publisher_name = 'The GHRSST Project Office'
publisher_type = 'group'
publisher_url = 'https://www.ghrsst.org'
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.'
sensor = 'VIIRS, AVHRR, ABI, Imager, SEVIRI, SEVIRI, AHI'
source = 'OSPO-ACSPO_VIIRS, OSPO-ACSPO_METOPB_FRAC, OSPO-GOES16_SST_L3, OSPO-GOES15_SST_L3, OSPO-METEOSAT11_SST_L3, OSPO-HIMA8_SST_L3'
sourceUrl = '(local files)'
Southernmost_Northing = -89.975
spatial_resolution = '0.05 degree'
standard_name_vocabulary = 'CF Standard Name Table v29'
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 0.05� spatial resolution. The monthly composites were generated from daily files by OceanWatch Central Pacific'
time_coverage_end = '2022-03-01T12:00:00Z'
time_coverage_start = '2002-09-05T12:00:00Z'
title = 'Sea Surface Temperature, NOAA geopolar blended - Monthly, 2002-Present (2017 Reanalysis)'
Westernmost_Easting = 0.025
Dimensions:
latitude = 3600
longitude = 7200
time = 227
Variables:
time
Size: 227x1
Dimensions: time
Datatype: double
Attributes:
_CoordinateAxisType = 'Time'
actual_range = [1031227200 1646136000]
axis = 'T'
calendar = 'Gregorian'
comment = 'Nominal time of Level 4 analysis'
ioos_category = 'Time'
long_name = 'reference time of sst field'
standard_name = 'time'
time_origin = '01-JAN-1970 00:00:00'
units = 'seconds since 1970-01-01T00:00:00Z'
latitude
Size: 3600x1
Dimensions: latitude
Datatype: single
Attributes:
_CoordinateAxisType = 'Lat'
actual_range = [-89.975 89.975]
axis = 'Y'
comment = 'equirectangular projection'
ioos_category = 'Location'
long_name = 'Latitude'
standard_name = 'latitude'
units = 'degrees_north'
valid_max = 90
valid_min = -90
longitude
Size: 7200x1
Dimensions: longitude
Datatype: single
Attributes:
_CoordinateAxisType = 'Lon'
actual_range = [0.025 359.975]
axis = 'X'
comment = 'equirectangular projection'
ioos_category = 'Location'
long_name = 'Longitude'
standard_name = 'longitude'
units = 'degrees_east'
valid_max = 360
valid_min = 0
analysed_sst
Size: 7200x3600x227
Dimensions: longitude,latitude,time
Datatype: single
Attributes:
_FillValue = NaN
colorBarMaximum = 305
colorBarMinimum = 273
comment = 'nighttime analysed SST for each ocean grid point'
ioos_category = 'Temperature'
long_name = 'analysed sea surface temperature'
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.'
source = 'OSPO-ACSPO_VIIRS, OSPO-ACSPO_METOPB_FRAC, OSPO-GOES16_SST_L3,OSPO-GOES15_SST_L3, OSPO-METEOSAT11_SST_L3, OSPO-HIMA8_SST_L3'
standard_name = 'sea_surface_foundation_temperature'
units = 'degree_K'
valid_max = 4000
valid_min = -200
sea_ice_fraction
Size: 7200x3600x227
Dimensions: longitude,latitude,time
Datatype: single
Attributes:
_FillValue = NaN
colorBarMaximum = 1
colorBarMinimum = 0
comment = ' Percentage of ice'
ioos_category = 'Ice Distribution'
long_name = 'sea ice fraction'
source = 'NCEP 1/12th degree ice mask'
standard_name = 'sea_ice_area_fraction'
units = '1'
valid_max = 100
valid_min = 0