WATER TEMPERATURE, SALINITY, and HYDROSTATIC PRESSURE collected from R/V Point Sur in Entrance to the Gulf of California from 2013-04-19 to 2013-05-02 (NCEI Accession 0131072)
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Hydrographic data were collected in Pescadero Basin (at the entrance to the Gulf of California) and subsequently along the West Coast of Baja California and Southern and Central California on R/V Point Sur from 19 April to 2 May 2013. Objectives of data collection were to measure both the exchange of waters between the Pacific Ocean and Gulf of California and the variation of water properties in the California Undercurrent as it transported water along the 1000 m isobaths to the north. The purpose of this report is to provide summary listings of cruise data, a description of data collection and processing procedures, and a brief report of oceanographic conditions. Data collection included profiles of conductivity, temperature, dissolved oxygen, nutrients and ocean currents at fixed stations as well as underway observations of sea surface and atmospheric properties and ocean currents. In contrast to previous observations of cyclonic flow, a well-defined pattern of anticyclonic flow of upper waters was observed in Pescadero Basin with flow into the Gulf along Baja California and flow into the Pacific along Sinaloa.
Salinas and Carmel Rivers Basin Study (SCRBS): Future Climate
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This digital dataset contains the baseline and future climate data used as the basis for analysis of current and future water supplies and demands in the Salinas and Carmel Rivers Basin Study (SCRBS). SCRBS uses a suite of integrated hydrologic models to explore impacts of future climate and socioeconomic scenarios on water supplies and demands in the basins. SCRBS considers one baseline climate scenario that represents recent historical climate conditions and five future climate scenarios that encompass the range of uncertainty in projections of future climate conditions through the end of the 21st century. The baseline scenario was developed by removing trends from an observed historical climate dataset such that the long-term monthly mean and variance over the full period of record (1931-2015) are consistent with observed historical averages over the baseline period (1980-2009). Future climate scenarios were developed by adjusting the baseline scenario to reflect projected changes in the distributions of monthly precipitation and temperature. The five future climate scenarios reflect the range of projected changes across an ensemble of statistically downscaled climate projections: Hot-Wet (HW), Warm-Wet (WW), Hot-Dry (HD), Warm-Dry (WD), and Central Tendency (CT). Analysis of future climate conditions was based on the Localized Constructed Analogues (LOCA) dataset, which includes statistically downscaled climate projections from global climate models (Pierce and others, 2014). Baseline and future climate scenarios were spatially downscaled from a native 1/16° grid to a 270-meter grid. The data set includes daily 270-meter gridded spatially distributed daily precipitation (PPT), maximum and minimum air temperature (TMX and TMN, respectively), and potential evapotranspiration (PET) from 1/1/2016 to 12/31/2100. Pierce, D. W., Cayan, D. R., and Thrasher, B. L., 2014, Statistical downscaling using Localized Constructed Analogs (LOCA): Journal of Hydrometeorology, v. 15, no. 6, p. 2558-2585, https://doi.org/10.1175/JHM-D-14-0082.1.
Salinas and Carmel Rivers Basin Study (SCRBS): Future Climate
공공데이터포털
This digital dataset contains the baseline and future climate data used as the basis for analysis of current and future water supplies and demands in the Salinas and Carmel Rivers Basin Study (SCRBS). SCRBS uses a suite of integrated hydrologic models to explore impacts of future climate and socioeconomic scenarios on water supplies and demands in the basins. SCRBS considers one baseline climate scenario that represents recent historical climate conditions and five future climate scenarios that encompass the range of uncertainty in projections of future climate conditions through the end of the 21st century. The baseline scenario was developed by removing trends from an observed historical climate dataset such that the long-term monthly mean and variance over the full period of record (1931-2015) are consistent with observed historical averages over the baseline period (1980-2009). Future climate scenarios were developed by adjusting the baseline scenario to reflect projected changes in the distributions of monthly precipitation and temperature. The five future climate scenarios reflect the range of projected changes across an ensemble of statistically downscaled climate projections: Hot-Wet (HW), Warm-Wet (WW), Hot-Dry (HD), Warm-Dry (WD), and Central Tendency (CT). Analysis of future climate conditions was based on the Localized Constructed Analogues (LOCA) dataset, which includes statistically downscaled climate projections from global climate models (Pierce and others, 2014). Baseline and future climate scenarios were spatially downscaled from a native 1/16° grid to a 270-meter grid. The data set includes daily 270-meter gridded spatially distributed daily precipitation (PPT), maximum and minimum air temperature (TMX and TMN, respectively), and potential evapotranspiration (PET) from 1/1/2016 to 12/31/2100. Pierce, D. W., Cayan, D. R., and Thrasher, B. L., 2014, Statistical downscaling using Localized Constructed Analogs (LOCA): Journal of Hydrometeorology, v. 15, no. 6, p. 2558-2585, https://doi.org/10.1175/JHM-D-14-0082.1.
Salinas Monthly BCMv8
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This data release contains monthly 270-meter gridded Basin Characterization Model (BCMv8) climate inputs and hydrologic outputs for Salinas (SAL). Gridded climate inputs include: precipitation (ppt), minimum temperature (tmn), maximum temperature (tmx), and potential evapotranspiration (pet). Gridded hydrologic variables include: actual evapotranspiration (aet), climatic water deficit (cwd), snowpack (pck), recharge (rch), runoff (run), and soil storage (str). The units for temperature variables are degrees Celsius, and all other variables are in millimeters. Monthly historical variables from water years 1896 to 2019 are summarized into water year files and long-term average summaries for water years 1981-2010. Four future climate scenarios were spatially downscaled from 6 kilometers to 270 meters, and run through the BCMv8 using the same model parameters. The future climate scenarios are all Representative Concentration Pathway (RCP) 8.5 and include: CanESM2, CNRM-CM5, HadGEM2-ES, and MIROC5 from California's Forth Climate Change Assessment. Future climate scenarios span from water year 2007 to 2099, and monthly variables were summarized by water year and the average 2070 to 2099 period. Streamflow for each calibration basin was calculated using a post processing Excel spreadsheet and BCMv8 recharge and runoff, and are provided in tabular comma separated *.csv files. Raster grids are in the NAD83 California Teale Albers, (meters) projection in an open format ascii text file (*.asc).
Salinas Monthly BCMv8
공공데이터포털
This data release contains monthly 270-meter gridded Basin Characterization Model (BCMv8) climate inputs and hydrologic outputs for Salinas (SAL). Gridded climate inputs include: precipitation (ppt), minimum temperature (tmn), maximum temperature (tmx), and potential evapotranspiration (pet). Gridded hydrologic variables include: actual evapotranspiration (aet), climatic water deficit (cwd), snowpack (pck), recharge (rch), runoff (run), and soil storage (str). The units for temperature variables are degrees Celsius, and all other variables are in millimeters. Monthly historical variables from water years 1896 to 2019 are summarized into water year files and long-term average summaries for water years 1981-2010. Four future climate scenarios were spatially downscaled from 6 kilometers to 270 meters, and run through the BCMv8 using the same model parameters. The future climate scenarios are all Representative Concentration Pathway (RCP) 8.5 and include: CanESM2, CNRM-CM5, HadGEM2-ES, and MIROC5 from California's Forth Climate Change Assessment. Future climate scenarios span from water year 2007 to 2099, and monthly variables were summarized by water year and the average 2070 to 2099 period. Streamflow for each calibration basin was calculated using a post processing Excel spreadsheet and BCMv8 recharge and runoff, and are provided in tabular comma separated *.csv files. Raster grids are in the NAD83 California Teale Albers, (meters) projection in an open format ascii text file (*.asc).
IPRC, Aquarius, Optimally Interpolated Salinity, 0.5°, Global, 7-Day, 2011-2015, v4.0, Lon0360
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Level 4 optimally interpolated, 0.5 degree, near-global, 7 day sea surface salinity (OISSS) product for version 4.0 of the Aquarius/SAC-D dataset. OISSS is a principal investigator produced dataset developed at the International Pacific Research Center (IPRC) of the University of Hawaii at Manoa, School of Ocean and Earth Science and Technology (SOEST). The optimal interpolation (OI) mapping procedure used to create this product corrects for systematic spatial biases in Aquarius SSS data with respect to Argo near-surface salinity observations and takes into account available statistical information about the signal and noise, specific to the Aquarius instrument. The product covers the entire duration of the Aquarius/SAC-D mission: 8/26/2011 - 6/7/2015. Further details on the data processing can be found in: Melnichenko, O., P. Hacker., N. Maximenko, G. Lagerloef, and J. Potemra (2016), Optimal interpolation of Aquarius sea surface salinity, J. Geophys. Res. Oceans, 121, 602-616, doi:10.1002/2015JC011343.
Seawater pressure, temperature, salinity, and other data from NEW HORIZON in coastal California waters from 1987-10-16 to 1987-10-23 (NCEI Accession 9900231)
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This dataset includes CTD data collected using vertical casts at fixed locations on the R/V New Horizon cruise CaBS7 in the northeast Pacific Ocean off of the California coast from Oct. 16, 1987 to Oct. 23, 1987. The data were collected as part of the Southern California Bight Basin Study by Dr. Barbara Hickey, University of Washington, School of Oceanography.