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This data release contains monthly 270-meter gridded Basin Characterization Model (BCMv8) climate inputs and hydrologic outputs for San Francisco Coastal South (SFCS). 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...
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This data release contains monthly 270-meter gridded Basin Characterization Model (BCMv8) climate inputs and hydrologic outputs for Fort Bragg (FBG). 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....
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This data release contains monthly 270-meter gridded Basin Characterization Model (BCMv8) climate inputs and hydrologic outputs for Napa Sonoma (NSM). 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....
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This child item contains Uncrewed Aircraft System (UAS) imagery from three data collection campaigns (flights) over the Pepperwood Preserve in Sonoma County, California. Each child item contains: 1) Orthophoto, 2) Thermal, 3) Normalized Difference Vegetation Index (NDVI), 4) L-band microwave brightness temperature (Tb), 5) Estimated soil moisture, and 6) Digital elevation model from orthoimagery. The overall footprint varies depending on the type of sensor. This flight was performed using a fixed-wing electric UAS with a 3-meter wingspan called the S2. All files are zipped raster (*.tif) files that can be visualized and edited by geospatial software including ArcGIS, QGIS, Python, and R. The spatial resolution of...
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This data release contains monthly 270-meter gridded Basin Characterization Model (BCMv8) climate inputs and hydrologic outputs for Mattole (MAT). 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....
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This data release contains monthly 270-meter resolution Basin Characterization Model (BCMv8) climate and hydrologic variables for Localized Constructed Analog (LOCA; Pierce et al., 2014)-downscaled CanESM2 Global Climate Model (GCM) for Representative Concentration Pathway (RCP) 4.5 (medium-low emissions) and 8.5 (high emissions) for hydrologic California. The LOCA climate scenarios span water years 1950 to 2099 with greenhouse-gas forcings beginning in 2006. The LOCA downscaling method has been shown to produce better estimates of extreme events and reduces the common downscaling problem of too many low-precipitation days (Pierce et al., 2014). Ten GCMs were selected from the full ensemble of models from the fifth...
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This data release contains monthly 270-meter resolution Basin Characterization Model (BCMv8) climate and hydrologic variables for Localized Constructed Analog (LOCA; Pierce et al., 2014)-downscaled CMCC-CMS Global Climate Model (GCM) for Representative Concentration Pathway (RCP) 4.5 (medium-low emissions) and 8.5 (high emissions) for hydrologic California. The LOCA climate scenarios span water years 1950 to 2099 with greenhouse-gas forcings beginning in 2006. The LOCA downscaling method has been shown to produce better estimates of extreme events and reduces the common downscaling problem of too many low-precipitation days (Pierce et al., 2014). Ten GCMs were selected from the full ensemble of models from the fifth...


map background search result map search result map Mattole Monthly BCMv8 San Francisco Coastal South Monthly BCMv8 Fort Bragg Monthly BCMv8 Napa Sonoma Monthly BCMv8 Aerial imagery and other remotely-sensed data from a UAS survey of Pepperwood Preserve: Flight 2, August 2022 Future Climate and Hydrology from the Basin Characterization Model (BCMv8) using LOCA-downscaled Global Climate Model CanESM2 Future Climate and Hydrology from the Basin Characterization Model (BCMv8) using LOCA-downscaled Global Climate Model CMCC-CMS Aerial imagery and other remotely-sensed data from a UAS survey of Pepperwood Preserve: Flight 2, August 2022 San Francisco Coastal South Monthly BCMv8 Mattole Monthly BCMv8 Fort Bragg Monthly BCMv8 Napa Sonoma Monthly BCMv8 Future Climate and Hydrology from the Basin Characterization Model (BCMv8) using LOCA-downscaled Global Climate Model CanESM2 Future Climate and Hydrology from the Basin Characterization Model (BCMv8) using LOCA-downscaled Global Climate Model CMCC-CMS