1 files · 16 KB · netcdf

[There is a newer version of this dataset: ncdcOisst21Agg .] Reynolds, et al.(2007) Daily High-resolution Blended Analyses. This version of the dataset contains the final version of the data. Background information is available at https://www.ncdc.noaa.gov/oisst. Climatology is based on 1971-2000 OI.v2 SST, Satellite data: Navy NOAA17 NOAA18 AVHRR, Ice data: GSFC ice. cdm_data_type = Grid VARIABLES (all of which use the dimensions [time][zlev][latitude][longitude]): sst (Daily sea surface temperature, degree_C) anom (Daily sea surface temperature anomalies, degree_C) err (Estimated error standard deviation of analysed_sst, degree_C) ice (Sea ice concentration, 1)

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U.S. West Coast Moderate Resolution Imaging Spectroradiometer (MODIS) Aqua High Resolution Chlorophyll-a (CHLA) Anomaly Fields (July 2002 - March 2014). This suite of CHLA and Sea Surface Temperature (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]): chla_anomaly (mg m-3)

1 files · 18 KB · netcdf

U.S. West Coast Moderate Resolution Imaging Spectroradiometer (MODIS) Aqua High Resolution Sea Surface Temperature (SST) Climatology 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 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, 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 (Sea Surface Temperature, degree_C)

1 files · 18 KB · netcdf

U.S. West Coast Moderate Resolution Imaging Spectroradiometer (MODIS) Aqua High Resolution Sea Surface Temperature (SST) Climatology 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 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, 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 (Sea Surface Temperature, degree_C)

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Contains a suite of NOAA Coral Reef Watch (CRW) version 3.1 operational global satellite coral bleaching heat stress monitoring products at 5-km resolution produced daily in near real-time, including sea surface temperature (SST), SST anomaly, HotSpot, Degree Heating Week (DHW), and Bleaching Alert Area (BAA). These data are based on CoralTemp Version 1.0, a daily global 5-km sea surface temperature dataset combined from: (1.) NOAA/NESDIS operational near-real-time daily global 5-km geostationary-polar-orbiting (geo-polar) blended night-only SST analysis, (2.) NOAA/NESDIS 2002-2016 reprocessed daily global 5-km geo-polar blended night-only SST analysis, and (3.) United Kingdom Met Office 1985-2002 daily global 5-km night-only SST reanalysis of Operational SST and Sea Ice Analysis (OSTIA). The SST anomaly is the difference of SST compared to daily SST climatology. The coral bleaching HotSpot is a special type of sea surface temperature (SST) anomaly and shows the difference of SST compared to a coral bleaching SST threshold climatology. DHW is the accumulation of Coral Bleaching HotSpots over a period of 12 consecutive weeks. The DHW value at any particular location at any particular time is the summation of the product of HotSpot values which are at least 1 deg C above the bleaching threshold SST and their durations in weeks over the most recent 12-week period. One DHW is equivalent to 1 week of SST at 1 deg C above the threshold or 0.5 week of SST at 2 deg C above the threshold, etc. The units for DHW are deg C-weeks, combining the intensity and duration of heat stress into one single number. Based on research at Coral Reef Watch, when the heat stress reaches 4 deg C-weeks, you can expect to see significant coral bleaching, especially in more sensitive species. When heat stress is 8 deg C-weeks or higher, you would likely see widespread bleaching and mortality from the heat stress. cdm_data_type = Grid VARIABLES (all of which use the dimensions [time][latitude][longitude]): CRW_BAA (bleaching alert area, 1) CRW_BAA_mask (CRW_BAA pixel characteristics flag array, 1) CRW_BAA_7D_MAX (bleaching alert area 7-day maximum composite, 1) CRW_BAA_7D_MAX_mask (CRW_BAA_7D_MAX pixel characteristics flag array, 1) CRW_DHW (degree heating week, Celsius weeks) CRW_DHW_mask (CRW_DHW pixel characteristics flag array, 1) CRW_HOTSPOT (coral bleaching hotspot, Celsius) CRW_HOTSPOT_mask (CRW_HOTSPOT pixel characteristics flag array, 1) ... (4 more variables)

1 files · 18 KB · netcdf

U.S. West Coast Moderate Resolution Imaging Spectroradiometer (MODIS) Aqua High Resolution Chlorophyll-a (CHLA) Climatology Fields (July 2002 - March 2014). This suite of CHLA and Sea Surface Temperature (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, 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]): chla (Concentration Of Chlorophyll In Sea Water, mg m-3)

1 files · 18 KB · netcdf

U.S. West Coast Moderate Resolution Imaging Spectroradiometer (MODIS) Aqua High Resolution Chlorophyll-a (CHLA) Climatology Fields (July 2002 - March 2014). This suite of CHLA and Sea Surface Temperature (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, 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]): chla (Concentration Of Chlorophyll In Sea Water, mg m-3)