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Title Sum-
Institution Dataset ID
 data       graph  M    public OSU SST Climatology V2, MODIS Aqua, West US, 2002-2003    ?   F   I   M   background (external link) RSS Subscribe
Oregon State Univ...  ?

The Dataset's Variables and Attributes

Row Type Variable Name Attribute Name Data Type Value
attribute NC_GLOBAL cdm_data_type String Grid
attribute NC_GLOBAL contact String Craig Risien (
attribute NC_GLOBAL Conventions String CF-1.6, COARDS, Unidata Dataset Discovery v1.0
attribute NC_GLOBAL creator_email String crisien at
attribute NC_GLOBAL creator_name String Craig Risien
attribute NC_GLOBAL creator_type String person
attribute NC_GLOBAL Easternmost_Easting double -105.0
attribute NC_GLOBAL geospatial_lat_max double 51.0
attribute NC_GLOBAL geospatial_lat_min double 22.0
attribute NC_GLOBAL geospatial_lat_resolution double 0.025
attribute NC_GLOBAL geospatial_lat_units String degrees_north
attribute NC_GLOBAL geospatial_lon_max double -105.0
attribute NC_GLOBAL geospatial_lon_min double -135.0
attribute NC_GLOBAL geospatial_lon_resolution double 0.025
attribute NC_GLOBAL geospatial_lon_units String degrees_east
attribute NC_GLOBAL geospatial_vertical_max double 0.0
attribute NC_GLOBAL geospatial_vertical_min double 0.0
attribute NC_GLOBAL geospatial_vertical_positive String up
attribute NC_GLOBAL geospatial_vertical_units String m
attribute NC_GLOBAL infoUrl String (external link)
attribute NC_GLOBAL institution String Oregon State University - College of Earth, Ocean, and Atmospheric Sciences
attribute NC_GLOBAL keywords String aqua, atmospheric, climatology, coast, college, earth, Earth Science > Oceans > Ocean Temperature > Sea Surface Temperature, fields, high, modis, ocean, oceans, oregon, resolution, sciences, sea, sea_surface_temperature, sst, state, surface, temperature, u.s., university, west, west coast
attribute NC_GLOBAL keywords_vocabulary String GCMD Science Keywords
attribute NC_GLOBAL license String The data may be used and redistributed for free but is not intended
for legal use, since it may contain inaccuracies. Neither the data
Contributor, ERD, NOAA, nor the United States Government, nor any
of their employees or contractors, makes any warranty, express or
implied, including warranties of merchantability and fitness for a
particular purpose, or assumes any legal liability for the accuracy,
completeness, or usefulness, of this information.
attribute NC_GLOBAL Northernmost_Northing double 51.0
attribute NC_GLOBAL product_version String 1.0
attribute NC_GLOBAL references String Risien, C.M., and P.T. Strub. Satellite-Derived Climatologies: The California Current Large Marine Ecosystem. Cooperative Institute for Oceanographic Satellite Studies. Available online at
attribute NC_GLOBAL sourceUrl String (external link)
attribute NC_GLOBAL Southernmost_Northing double 22.0
attribute NC_GLOBAL spatial_resolution String 0.025 degree
attribute NC_GLOBAL standard_name_vocabulary String CF Standard Name Table v70
attribute NC_GLOBAL summary String This suite of CHLA and SST climatology and anomaly data products are derived from daily, 0.0125 degree x 0.0125 degree, MODIS Aqua CHLA and SST fields that cover the California Current System (22N - 51N, 155W - 105W) for the 11-year period July 2002 through June 2013. These daily fields, obtained from the NOAA CoastWatch West Coast Regional Node website, were processed using a successive 3x3, 5x5 and 7x7 grid cell hybrid median filtering technique. This technique was found to effectively reduce noise in the daily fields while maintaining features and detail in important regions such as capes and headlands. The resulting median filtered daily fields were then linearly interpolated to a 0.025 degree x 0.025 degree grid and averaged to create 132 monthly mean fields. The seasonal cycles at each 0.025 degree x 0.025 degree grid cell were obtained by fitting each multiyear time series of monthly means to a nine-parameter regression model consisting of a constant plus four harmonics (frequencies of N/(1-year), N-1,4; Risien and Chelton 2008, JPO). Even with the median filtering and the temporal averaging of the daily fields, the highly inhomogeneous nature of the MODIS fields still resulted in regression coefficients that were excessively noisy. We therefore applied the same successive 3x3, 5x5 and 7x7 hybrid median filtering technique, described above, to the regression coefficients before finally spatially smoothing the coefficients using a loess smoother (Schlax et al. 2001, JTECH) with filter cutoff wavelengths of 0.25 degree latitude by 0.25 degree longitude. The seasonal cycles were then calculated from the filtered regression coefficients for each 0.025 degree x 0.025 degree grid cell using the mean and all four harmonics. It is important to note that THIS SUITE OF DATA PRODUCTS IS HIGHLY EXPERIMENTAL and is strictly intended for scientific evaluation by experienced marine scientists.
attribute NC_GLOBAL time_coverage_end String 2003-06-01T00:00:00Z
attribute NC_GLOBAL time_coverage_start String 2002-07-01T00:00:00Z
attribute NC_GLOBAL title String OSU SST Climatology V2, MODIS Aqua, West US, 2002-2003
attribute NC_GLOBAL Westernmost_Easting double -135.0
dimension time   double nValues=12, evenlySpaced=false, averageSpacing=30 days 10h 54m 33s
attribute time _CoordinateAxisType String Time
attribute time actual_range double 1.0254816E9, 1.0544256E9
attribute time axis String T
attribute time climatology String climatology_bounds
attribute time ioos_category String Time
attribute time long_name String Time
attribute time standard_name String time
attribute time time_origin String 01-JAN-1970 00:00:00
attribute time units String seconds since 1970-01-01T00:00:00Z
dimension altitude   double nValues=1, onlyValue=0.0
attribute altitude _CoordinateAxisType String Height
attribute altitude _CoordinateZisPositive String up
attribute altitude actual_range double 0.0, 0.0
attribute altitude axis String Z
attribute altitude fraction_digits int 0
attribute altitude ioos_category String Location
attribute altitude long_name String Altitude
attribute altitude positive String up
attribute altitude standard_name String altitude
attribute altitude units String m
dimension latitude   double nValues=1161, evenlySpaced=true, averageSpacing=0.025
attribute latitude _CoordinateAxisType String Lat
attribute latitude actual_range double 22.0, 51.0
attribute latitude axis String Y
attribute latitude coordsys String geographic
attribute latitude fraction_digits int 4
attribute latitude ioos_category String Location
attribute latitude long_name String Latitude
attribute latitude point_spacing String even
attribute latitude standard_name String latitude
attribute latitude units String degrees_north
dimension longitude   double nValues=1201, evenlySpaced=true, averageSpacing=0.025
attribute longitude _CoordinateAxisType String Lon
attribute longitude actual_range double -135.0, -105.0
attribute longitude axis String X
attribute longitude coordsys String geographic
attribute longitude fraction_digits int 4
attribute longitude ioos_category String Location
attribute longitude long_name String Longitude
attribute longitude point_spacing String even
attribute longitude standard_name String longitude
attribute longitude units String degrees_east
variable sst   float time, altitude, latitude, longitude
attribute sst _FillValue float 1.0E30
attribute sst cell_methods String time: minimum within years time: mean over years
attribute sst colorBarMaximum double 32.0
attribute sst colorBarMinimum double 0.0
attribute sst ioos_category String Temperature
attribute sst long_name String Sea Surface Temperature
attribute sst standard_name String sea_surface_temperature
attribute sst units String degree_C

The information in the table above is also available in other file formats (.csv, .htmlTable, .itx, .json, .jsonlCSV1, .jsonlCSV, .jsonlKVP, .mat, .nc, .nccsv, .tsv, .xhtml) via a RESTful web service.

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