hybrid · semantic + lexical · 2535 datasets ranked · 1.83s
1 files · 13 KB · netcdf
Sea surface temperature retrievals produced by NOAA/NESDIS/Office of Satellite and Product Operations (OSPO) office from Visible and Infrared Imager/Radiometer Suite (VIIRS) sensor cdm_data_type = Grid VARIABLES (all of which use the dimensions [time][altitude][rows][cols]): l2p_flags swath_latitude (Latitude, degrees_north) swath_longitude (Longitude, degrees_east) sea_surface_temperature (sea surface subskin temperature, degree_C) sses_bias (SSES bias estimate, degree_C) sses_standard_deviation (degree_C) graphics (graphics overlay planes)
1 files · 17 KB · netcdf
Sea surface temperature retrievals produced by NOAA/NESDIS/STAR office cdm_data_type = Grid VARIABLES (all of which use the dimensions [time][latitude][longitude]): sea_surface_temperature (sea surface sub-skin temperature, degree_C) sses_bias (SSES bias estimate, kelvin) sses_standard_deviation (kelvin) l2p_flags l3s_flags sst_count (Count of input L3U SST pixels) quality_level (quality level of SST pixel) sst_source (Source of major (highest weight) contribution to sst) satellite_zenith_angle (degrees) dt_analysis (deviation from SST reference, kelvin) sea_ice_fraction (1) wind_speed (m s-1) sst_dtime (time difference from reference time, seconds) measurement_dtime (time difference of highest weighted input SST from reference time. Is equal to sst_dtime for pixels where L3S-LEO-PM_N is available, seconds) sst_gradient_magnitude (SST gradient magnitude value, kelvin/km) sst_front_position (Binary SST front position indicator)
1 files · 17 KB · netcdf
Sea surface temperature retrievals produced by NOAA/NESDIS/STAR office cdm_data_type = Grid VARIABLES (all of which use the dimensions [time][latitude][longitude]): sea_surface_temperature (sea surface sub-skin temperature, kelvin) sses_bias (SSES bias estimate, kelvin) sses_standard_deviation (kelvin) l2p_flags l3s_flags sst_count (Count of input L3U SST pixels) quality_level (quality level of SST pixel) sst_source (Source of major (highest weight) contribution to sst) satellite_zenith_angle (degrees) dt_analysis (deviation from SST reference, kelvin) sea_ice_fraction (1) wind_speed (m s-1) sst_dtime (time difference from reference time, seconds) measurement_dtime (time difference of highest weighted input SST from reference time. Is equal to sst_dtime for pixels where L3S-LEO-PM_N is available, seconds) sst_gradient_magnitude (SST gradient magnitude value, kelvin/km) sst_front_position (Binary SST front position indicator)
1 files · 17 KB · netcdf
Sea surface temperature retrievals produced by NOAA/NESDIS/STAR office cdm_data_type = Grid VARIABLES (all of which use the dimensions [time][latitude][longitude]): sea_surface_temperature (sea surface sub-skin temperature, kelvin) sses_bias (SSES bias estimate, kelvin) sses_standard_deviation (kelvin) l2p_flags l3s_flags sst_count (Count of input L3U SST pixels) quality_level (quality level of SST pixel) sst_source (Source of major (highest weight) contribution to sst) satellite_zenith_angle (degrees) dt_analysis (deviation from SST reference, kelvin) sea_ice_fraction (1) wind_speed (m s-1) sst_dtime (time difference from reference time, seconds) measurement_dtime (time difference of highest weighted input SST from reference time. Is equal to sst_dtime for pixels where L3S-LEO-PM_N is available, seconds) sst_gradient_magnitude (SST gradient magnitude value, kelvin/km) sst_front_position (Binary SST front position indicator)
1 files · 40 KB · netcdf
Sea surface temperature retrievals produced by NOAA/NESDIS/OSPO office cdm_data_type = Grid VARIABLES (all of which use the dimensions [time][latitude][longitude]): sea_surface_temperature (sea surface sub-skin temperature, degree_C) sses_bias (SSES bias estimate, degree_C) sses_standard_deviation (degree_C) l2p_flags l3s_flags sst_count (Count of input L3U SST pixels) quality_level (quality level of SST pixel) sst_source (Source of major (highest weight) contribution to sst) satellite_zenith_angle (degrees) dt_analysis (deviation from SST reference, kelvin) sea_ice_fraction wind_speed (m s-1) sst_dtime (time difference from reference time, seconds) measurement_dtime sst_gradient_magnitude (SST gradient magnitude value, kelvin/km) sst_front_position (Binary SST front position indicator)
1 files · 40 KB · netcdf
Sea surface temperature retrievals produced by NOAA/NESDIS/OSPO office cdm_data_type = Grid VARIABLES (all of which use the dimensions [time][latitude][longitude]): sea_surface_temperature (sea surface sub-skin temperature, degree_C) sses_bias (SSES bias estimate, degree_C) sses_standard_deviation (degree_C) l2p_flags l3s_flags sst_count (Count of input L3U SST pixels) quality_level (quality level of SST pixel) sst_source (Source of major (highest weight) contribution to sst) satellite_zenith_angle (degrees) dt_analysis (deviation from SST reference, kelvin) sea_ice_fraction wind_speed (m s-1) sst_dtime (time difference from reference time, seconds) measurement_dtime sst_gradient_magnitude (SST gradient magnitude value, kelvin/km) sst_front_position (Binary SST front position indicator)
1 files · 17 KB · netcdf
Sea surface temperature retrievals produced by NOAA/NESDIS/STAR office cdm_data_type = Grid VARIABLES (all of which use the dimensions [time][latitude][longitude]): sea_surface_temperature (sea surface sub-skin temperature, degree_C) sses_bias (SSES bias estimate, degree_C) sses_standard_deviation (degree_C) l2p_flags l3s_flags sst_count (Count of input L3U SST pixels) quality_level (quality level of SST pixel) sst_source (Source of major (highest weight) contribution to sst) satellite_zenith_angle (degrees) dt_analysis (deviation from SST reference, kelvin) sea_ice_fraction (1) wind_speed (m s-1) sst_dtime (time difference from reference time, seconds) measurement_dtime (time difference of highest weighted input SST from reference time. Is equal to sst_dtime for pixels where L3S-LEO-PM_N is available, seconds) sst_gradient_magnitude (SST gradient magnitude value, kelvin/km) sst_front_position (Binary SST front position indicator)
1 files · 19 KB · netcdf
This is a product of NOAA Coral Reef Watch Global 5km Satellite Coral Bleaching Heat Stress Monitoring Product Suite, derived from CoralTemp v1.0. cdm_data_type = Grid VARIABLES (all of which use the dimensions [time][latitude][longitude]): sea_surface_temperature (analysed sea surface temperature, degree_C) mask (Pixel characteristics flag array, pixel_classification) sea_surface_temperature_anomaly (degree_C)
1 files · 19 KB · netcdf
This is a product of NOAA Coral Reef Watch Global 5km Satellite Coral Bleaching Heat Stress Monitoring Product Suite, derived from CoralTemp v1.0. cdm_data_type = Grid VARIABLES (all of which use the dimensions [time][latitude][longitude]): sea_surface_temperature (analysed sea surface temperature, degree_C) mask (Pixel characteristics flag array, pixel_classification) sea_surface_temperature_anomaly (degree_C)
1 files · 16 KB · netcdf
A daily Sea Surface Temperature (SST) Anomaly product created by ERD based on JPL MUR's climatology (2003-2014) of the Jet Propulsion Laboratory's (JPL) Multi-scale Ultra-high Resolution (MUR), merged, multi-sensor L4 v4.1 Foundation SST analysis product (part of the Group for High-Resolution Sea Surface Temperature (GHRSST) project). The data for the most recent 4 days is usually revised everyday. The data for other days is sometimes revised. cdm_data_type = Grid VARIABLES (all of which use the dimensions [time][latitude][longitude]): sstAnom (sea surface temperature anomaly, degree_C) mask (sea/land field composite mask)
1 files · 16 KB · netcdf
This monthly Sea Surface Temperature (SST) Anomaly product is a simple mean of the daily anomaly product created by ERD for a given month. The daily anomalies were created by ERD based on JPL MUR's climatology (2003-2014) of the Jet Propulsion Laboratory's (JPL) Multi-scale Ultra-high Resolution (MUR), merged, multi-sensor L4 v4.1 Foundation SST analysis product (part of the Group for High-Resolution Sea Surface Temperature (GHRSST) project). cdm_data_type = Grid VARIABLES (all of which use the dimensions [time][latitude][longitude]): sstAnom (Sea Surface Temperature Anomaly Monthly Mean, degree_C) mask (sea/land field composite mask)
1 files · 26 KB · netcdf
A low-resolution version of the Multi-scale Ultra-high Resolution (MUR) Sea Surface Temperature (SST) analysis, a merged, multi-sensor L4 Foundation SST analysis product from Jet Propulsion Laboratory (JPL). cdm_data_type = Grid VARIABLES (all of which use the dimensions [time][latitude][longitude]): analysed_sst (analysed sea surface temperature, degree_C) analysis_error (estimated error standard deviation of analysed_sst, degree_C) mask (sea/land field composite mask) sea_ice_fraction (sea ice area fraction) sst_anomaly (SST anomaly from a seasonal SST climatology based on the MUR data over 2003-2014 period, kelvin)
1 files · 16 KB · netcdf
A daily Sea Surface Temperature (SST) Anomaly product created by ERD based on JPL MUR's climatology (2003-2014) of the Jet Propulsion Laboratory's (JPL) Multi-scale Ultra-high Resolution (MUR), merged, multi-sensor L4 v4.1 Foundation SST analysis product (part of the Group for High-Resolution Sea Surface Temperature (GHRSST) project). The data for the most recent 4 days is usually revised everyday. The data for other days is sometimes revised. cdm_data_type = Grid VARIABLES (all of which use the dimensions [time][latitude][longitude]): sstAnom (sea surface temperature anomaly, degree_C) mask (sea/land field composite mask)
1 files · 16 KB · netcdf
This monthly Sea Surface Temperature (SST) Anomaly product is a simple mean of the daily anomaly product created by ERD for a given month. The daily anomalies were created by ERD based on JPL MUR's climatology (2003-2014) of the Jet Propulsion Laboratory's (JPL) Multi-scale Ultra-high Resolution (MUR), merged, multi-sensor L4 v4.1 Foundation SST analysis product (part of the Group for High-Resolution Sea Surface Temperature (GHRSST) project). cdm_data_type = Grid VARIABLES (all of which use the dimensions [time][latitude][longitude]): sstAnom (Sea Surface Temperature Anomaly Monthly Mean, degree_C) mask (sea/land field composite mask)
1 files · 17 KB · netcdf
The Extended Reconstructed Sea Surface Temperature (ERSST) dataset is a global monthly sea surface temperature dataset derived from the International Comprehensive Ocean-Atmosphere Dataset (ICOADS). It is produced on a 2°; × 2°; grid with spatial completeness enhanced using statistical methods. This monthly analysis begins in January 1854 continuing to the present and includes anomalies computed with respect to a 1971-2000 monthly climatology. This dataset is ERSST version 4. Please see the newer version 5. cdm_data_type = Grid VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]): sst (Extended reconstructed sea surface temperature, degree_C) ssta (Extended reconstructed SST anomalies, degree_C)
1 files · 17 KB · netcdf
The Extended Reconstructed Sea Surface Temperature (ERSST) dataset is a global monthly sea surface temperature dataset derived from the International Comprehensive Ocean-Atmosphere Dataset (ICOADS). It is produced on a 2°; × 2°; grid with spatial completeness enhanced using statistical methods. This monthly analysis begins in January 1854 continuing to the present and includes anomalies computed with respect to a 1971-2000 monthly climatology. This dataset is ERSST version 4. Please see the newer version 5. cdm_data_type = Grid VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]): sst (Extended reconstructed sea surface temperature, degree_C) ssta (Extended reconstructed SST anomalies, degree_C)
1 files · 19 KB · netcdf
The Extended Reconstructed Sea Surface Temperature (ERSST) dataset is a global monthly sea surface temperature dataset derived from the International Comprehensive Ocean-Atmosphere Dataset (ICOADS). It is produced on a 2°; × 2°; grid with spatial completeness enhanced using statistical methods. This monthly analysis begins in January 1854 continuing to the present and includes anomalies computed with respect to a 1971-2000 monthly climatology. This is the newest version of ERSST, version 5 cdm_data_type = Grid VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]): sst (Extended reconstructed sea surface temperature, degree_C) ssta (Extended reconstructed SST anomalies, degree_C)
1 files · 26 KB · netcdf
A low-resolution version of the Multi-scale Ultra-high Resolution (MUR) Sea Surface Temperature (SST) analysis, a merged, multi-sensor L4 Foundation SST analysis product from Jet Propulsion Laboratory (JPL). cdm_data_type = Grid VARIABLES (all of which use the dimensions [time][latitude][longitude]): sst (sea surface temperature monthly mean, degree_C) nobs (Number of Observations) mask (sea/land field composite mask) sst_anomaly (sea surface temperature anomaly monthly mean, degree_C)
1 files · 18 KB · netcdf
U.S. West Coast Moderate Resolution Imaging Spectroradiometer (MODIS) Aqua High Resolution Sea Surface Temperature (SST) Anomaly Fields (July 2002 - March 2014). This suite of Chlorophyll-a (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 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, Journal of Physical Oceanography (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. cdm_data_type = Grid VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]): sst_anomaly (Surface Temperature Anomaly, degree_C)
1 files · 15 KB · netcdf
Reynolds, et al.(2007) Daily High-resolution Blended Analyses. Background information available at https://www.ncdc.noaa.gov/oisst. Climatology is based on 1971-2000 OI.v2 SST, Satellite data: AMSR Navy NOAA17 NOAA18 AVHRR, Ice data: NCEP ice. cdm_data_type = Grid VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]): sst (Daily Sea Surface Temperature, degree_C) anom (Daily Sea Surface Temperature Anomalies, degree_C) err (Estimated Error Standard Deviation of Analyzed_SST, degree_C) ice (Sea Ice Concentration, 1)