Data represents maximum up-estuary intrusion of the 1 ppt salinity contour. The lines represent 1000 ppt chloride per million, measured 1½ hours after high tide. This data contains contours for 1921-1990.

Annual report submitted by the DWR's Delta Modeling Section

,

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.

,This point dataset represents the location of gaging stations in the Sacramento-San Joaquin Delta and Suisun Marsh that have historic and statistical hydrologic data, specifically various river stage data. Stages are given in NAVD88, units feet. Specific stages are given for peak stages, 100-year stages produced under 2 separate US Army Corps of Engineers hydrology reports from 1976 and 1992, the year of previous peak stages cited by the 1976 and 1992 reports, and approximate typical tidal values as approximately estimated based on long term data records. This 2023 version of this datset replaces the prior 2020 version, and should be used as a complete replacement. The underlying analyses did not change, but the USACE peak observed stage field names from the prior version were corrected and supplemental USACE 50- and 100-year stages were added accordingly. In addition, the vertical datum conversion used at specific gages was added. The vertical datum conversion is based on DWR survey and North Central Regional Office information that is maintained for each gage station. The stage data was compiled by Karen Tolentino, engineer with Delta Levees, and by Joel Dudas, Senior Engineer in DWR's Division of Engineering, based on a wide variety of sources, including the HYDSTRA database, various historic bulletins, raw data, station histories, and other information provided by DWR's North Central Region Office, USGS, and other misc sources. They also adjusted all data to approximate NAVD88-related stages. Observed data periods of record varied widely by station, but go back as far as 1905. All peak values were derived from start of records until up to May, 2017.,The associated data are considered DWR enterprise GIS data, which meet all appropriate requirements of the DWR Spatial Data Standards, specifically the DWR Spatial Data Standard version 3.5, dated April 12, 2023. DWR makes no warranties or guarantees —either expressed or implied — as to the completeness, accuracy, or correctness of the data. DWR neither accepts nor assumes liability arising from or for any incorrect, incomplete, or misleading subject data. Comments, problems, improvements, updates, or suggestions should be forwarded to GIS@water.ca.gov.,

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.

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.

In the Delta Anatomy Mapping Project all levee anatomies were delineated using slope grids built from available LIDAR data points. LIDAR data points were converted to digital elevation models and subsequently into slope grids. Thresholds were identified that capture the levee crown, levee landside, levee waterside, ramps and toe ditches. Visual interpretations of slope thresholds were used in conjunction with heads-up digitizing to maintain smooth boundaries at a scale of 1:550. The delineation thresholds were derived from a combination of mapping scale, slope grid resolution and slope thresholds used for each anatomy classification. All anatomy has gone through an internal quality control process to ensure a minimum locational quality of +/- 3 feet. Anatomy was further reviewed and tested by DWR for compliance with an interpretive mapping standard of 80% accuracy. This data depicts the levee anatomy at the time of the LiDAR survey (2007) and are only accurate for that time. Users should be aware that temporal changes may have occurred since this data set was created and some parts of this data may no longer represent actual surface conditions.

Groundwater salinity presents a challenge to the management of water quality in the Indio subbasin of the Coachella Valley where a growing population is dependent primarily on groundwater for drinking water. The U.S. Geological survey, along with the Colorado River Basin regional water quality control board, are working to provide an assessment of salinity trends and sources in the Indio subbasin (California (CA) basin designation 7-21.01; California Department of Water Resources (2020)). As part of this work, salinity data and other selected inorganic water quality data, along with well construction information, for wells with available total dissolved solids (TDS) or conductance data were compiled from published reports, public databases, and unpublished archives into a tabulated spreadsheet. This spreadsheet represents a synthesis of available data on groundwater salinity in the Coachella Valley, however it does not include all data ever published in the region.

Dataset contains a comma delimited (csv) file reservoir stage-area and stage-volume tables. Stage is provided in elevation (in ft NAVD88) in the first column in 0.1 ft increments. Reservoir surface area is in acres and volume in acre-feet at each of those 0.1 foot increments.