Filters: Tags: Climatic Water Deficit (X)
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This dataset is a Basin Characterization Model (BCM) output using the PCM A2 Scenario for annual recharge, 2070-2099, clipped to the Sierra Nevada Zones for the CA LCC. Recharge: Amount of water exceeding field capacity that enters bedrock, occurs at a rate determined by the hydraulic conductivity of the underlying materials, excess water (rejected recharge) is added to runoff. The California Basin Characterization Model (BCM) climate dataset provides historical and projected climate surfaces for the state at a 270 meter resolution. The historical data is based on 4 kilometer PRISM data, and the projected climate surfaces are based on the A2 and B1 scenarios of the PCM and GFDL GCMs. The BCM approach uses a regional...
This dataset is a Basin Characterization Model (BCM) output using the PCM A2 Scenario for Climatic Water Deficit (CWD) in northern Sierra Nevada California, for 2040-2069. The term climatic water deficit defined by Stephenson (1998) is quantified as the amount of water by which potential evapotranspiration (PET) exceeds actual evapotranspiration (AET). This term effectively integrates the combined effects of solar radiation, evapotranspiration, and air temperature on watershed conditions given available soil moisture derived from precipitation. Climatic water deficit can be thought of as the amount of additional water that would have evaporated or transpired had it been present in the soils given the temperature...
This dataset is a Basin Characterization Model (BCM) output using the PCM A2 Scenario for average Winter (December, January, February) snowpack, in southern Sierra Nevada California, for 2040-2069. Snowpack: Amount of snow accumulated per month summed annually, or if divided by 12 average monthly snowpack. This is calculated as prior month's snowpack plus snowfall minus sublimation and snow melt. The California Basin Characterization Model (BCM) climate dataset provides historical and projected climate surfaces for the state at a 270 meter resolution. The historical data is based on 4 kilometer PRISM data, and the projected climate surfaces are based on the A2 and B1 scenarios of the PCM and GFDL GCMs. The BCM...
This dataset is a historic average Spring (March, April, May) snowpack, in southern Sierra Nevada California, for 1971-2000, from the California Basin Characterization Model (BCM) Snowpack: Amount of snow accumulated per month summed annually, or if divided by 12 average monthly snowpack. This is calculated as prior month's snowpack plus snowfall minus sublimation and snow melt. The California Basin Characterization Model (BCM) climate dataset provides historical and projected climate surfaces for the state at a 270 meter resolution. The historical data is based on 4 kilometer PRISM data, and the projected climate surfaces are based on the A2 and B1 scenarios of the PCM and GFDL GCMs. The BCM approach uses a...
This dataset is a historic average Spring (March, April, May) snowpack, in northern Sierra Nevada California, for 1971-2000, from the California Basin Characterization Model (BCM) Snowpack: Amount of snow accumulated per month summed annually, or if divided by 12 average monthly snowpack. This is calculated as prior month's snowpack plus snowfall minus sublimation and snow melt. The California Basin Characterization Model (BCM) climate dataset provides historical and projected climate surfaces for the state at a 270 meter resolution. The historical data is based on 4 kilometer PRISM data, and the projected climate surfaces are based on the A2 and B1 scenarios of the PCM and GFDL GCMs. The BCM approach uses a...
This dataset is a Basin Characterization Model (BCM) output using the GFDL A2 Scenario for average Spring (March, April, May) snowpack, in northern Sierra Nevada California, for 2010-2039. Snowpack: Amount of snow accumulated per month summed annually, or if divided by 12 average monthly snowpack. This is calculated as prior month's snowpack plus snowfall minus sublimation and snow melt. The California Basin Characterization Model (BCM) climate dataset provides historical and projected climate surfaces for the state at a 270 meter resolution. The historical data is based on 4 kilometer PRISM data, and the projected climate surfaces are based on the A2 and B1 scenarios of the PCM and GFDL GCMs. The BCM approach...
This dataset represents Runoff change, from Basin Characterization Model (BCM) output using the PCM A2 Scenario in central Sierra Nevada California, for 2070-2099. The data was processed using historic Runoff (1979-2000) and Runoff (2070-2099) to calculate change. Runoff: Amount of water that becomes stream flow, summed annually. Modeled as amount of water that exceeds total soil storage and rejected recharge. The California Basin Characterization Model (BCM) climate dataset provides historical and projected climate surfaces for the state at a 270 meter resolution. The historical data is based on 4 kilometer PRISM data, and the projected climate surfaces are based on the A2 and B1 scenarios of the PCM and GFDL...
This dataset is a Basin Characterization Model (BCM) output using the GFDL A2 Scenario calculated to represent percentage of annual precipitation received during winter months (December, January and February), 2040-2069, clipped to the DRECP 12 km buffered boundary.Total Precipitation:Â Total monthly precipitation (rain or snow), also summed by water year. Averaged over 30 year ranges.Calculation of Percentage: Winter Months Precipitation (December, January, February)/Annual Precipitation. The California Basin Characterization Model (BCM) climate dataset provides historical and projected climate surfaces for the state at a 270 meter resolution. The historical data is based on 4 kilometer PRISM data, and the projected...
This dataset is a Basin Characterization Model (BCM) output using the GFDL A2 Scenario for Climatic Water Deficit (CWD) in central Sierra Nevada California, for 2040-2069. The term climatic water deficit defined by Stephenson (1998) is quantified as the amount of water by which potential evapotranspiration (PET) exceeds actual evapotranspiration (AET). This term effectively integrates the combined effects of solar radiation, evapotranspiration, and air temperature on watershed conditions given available soil moisture derived from precipitation. Climatic water deficit can be thought of as the amount of additional water that would have evaporated or transpired had it been present in the soils given the temperature...
This dataset is a Basin Characterization Model (BCM) output using the GFDL A2 Scenario for Climatic Water Deficit (CWD) in central Sierra Nevada California, for 2010-2039. The term climatic water deficit defined by Stephenson (1998) is quantified as the amount of water by which potential evapotranspiration (PET) exceeds actual evapotranspiration (AET). This term effectively integrates the combined effects of solar radiation, evapotranspiration, and air temperature on watershed conditions given available soil moisture derived from precipitation. Climatic water deficit can be thought of as the amount of additional water that would have evaporated or transpired had it been present in the soils given the temperature...
This dataset is a Basin Characterization Model (BCM) output using the GFDL A2 Scenario for annual soil water storage, 2010-2039, clipped to the DRECP 12 km buffered boundary.Soil Water Storage:Â Average amount of water stored in the soil annually, calculated as precipitation plus snowmelt minus actual evapotranspiration, recharge, and runoff. The California Basin Characterization Model (BCM) climate dataset provides historical and projected climate surfaces for the state at a 270 meter resolution. The historical data is based on 4 kilometer PRISM data, and the projected climate surfaces are based on the A2 and B1 scenarios of the PCM and GFDL GCMs. The BCM approach uses a regional water balance model based on high...
This dataset is historic annual recharge, for 1971-2000, clipped to the Sierra Nevada boundary for the CA LCC from the California Basin Characterization Model (BCM) Recharge: Amount of water exceeding field capacity that enters bedrock, occurs at a rate determined by the hydraulic conductivity of the underlying materials, excess water (rejected recharge) is added to runoff. The California Basin Characterization Model (BCM) climate dataset provides historical and projected climate surfaces for the state at a 270 meter resolution. The historical data is based on 4 kilometer PRISM data, and the projected climate surfaces are based on the A2 and B1 scenarios of the PCM and GFDL GCMs. The BCM approach uses a regional...
This dataset is a Basin Characterization Model (BCM) output using the PCM A2 Scenario calculated to represent percentage of annual precipitation received during winter months (December, January and February), 2040-2069, clipped to the DRECP 12 km buffered boundary.Total Precipitation:Â Total monthly precipitation (rain or snow), also summed by water year. Averaged over 30 year ranges.Calculation of Percentage: Winter Months Precipitation (December, January, February)/Annual Precipitation. The California Basin Characterization Model (BCM) climate dataset provides historical and projected climate surfaces for the state at a 270 meter resolution. The historical data is based on 4 kilometer PRISM data, and the projected...
This dataset is a Basin Characterization Model (BCM) output using the PCM A2 Scenario for average Spring (March, April, May) snowpack change, 2040-2069, clipped to the Sierra Nevada Zone for CA LCC. Snowpack: Amount of snow accumulated per month summed annually, or if divided by 12 average monthly snowpack. This is calculated as prior month's snowpack plus snowfall minus sublimation and snow melt.Snowpack change was calculated using PCM A2 scenario 2040-2069 minus Historic Snowpack 1971-2000. The California Basin Characterization Model (BCM) climate dataset provides historical and projected climate surfaces for the state at a 270 meter resolution. The historical data is based on 4 kilometer PRISM data, and the...
This dataset is a Basin Characterization Model (BCM) output using the PCM A2 Scenario for average Winter (December, January, February) snowpack change, 2070-2099, clipped to the Sierra Nevada Zone for CA LCC. Snowpack: Amount of snow accumulated per month summed annually, or if divided by 12 average monthly snowpack. This is calculated as prior month's snowpack plus snowfall minus sublimation and snow melt.Snowpack change was calculated using PCM A2 scenario 2070-2099 minus Historic Snowpack 1971-2000. The California Basin Characterization Model (BCM) climate dataset provides historical and projected climate surfaces for the state at a 270 meter resolution. The historical data is based on 4 kilometer PRISM data,...
This dataset is a Basin Characterization Model (BCM) output using the PCM A2 Scenario for average Winter (December, January, February) snowpack change, 2040-2069, clipped to the Sierra Nevada Zone for CA LCC. Snowpack: Amount of snow accumulated per month summed annually, or if divided by 12 average monthly snowpack. This is calculated as prior month's snowpack plus snowfall minus sublimation and snow melt.Snowpack change was calculated using PCM A2 scenario 2040-2069 minus Historic Snowpack 1971-2000. The California Basin Characterization Model (BCM) climate dataset provides historical and projected climate surfaces for the state at a 270 meter resolution. The historical data is based on 4 kilometer PRISM data,...
This dataset is a Basin Characterization Model (BCM) output using the PCM A2 Scenario calculated to represent percentage of annual precipitation received during summer months (June, July, August and September), 2010-2039, clipped to the DRECP 12 km buffered boundary.Total Precipitation:Â Total monthly precipitation (rain or snow), also summed by water year. Averaged over 30 year ranges.Calculation of Percentage: Summer Months Precipitation (June, July, August, September)/Annual Precipitation. The California Basin Characterization Model (BCM) climate dataset provides historical and projected climate surfaces for the state at a 270 meter resolution. The historical data is based on 4 kilometer PRISM data, and the projected...
This dataset is a Basin Characterization Model (BCM) output using the GFDL A2 Scenario for mean maximum August temperature, 2010-2039, clipped to the DRECP 12 km buffered boundary.Maximum monthly temperature:Â The maximum monthly temperature, from downscaled GCMThe modeled daily maximum and minimum are averaged to give daily average;Â the maximum daily average in a calendar month becomes the monthly maximum;Â this is averaged over a 30 year period to determine TMax for each month of the year, and for the water year. The California Basin Characterization Model (BCM) climate dataset provides historical and projected climate surfaces for the state at a 270 meter resolution. The historical data is based on 4 kilometer...
This dataset is a Basin Characterization Model (BCM) output using the PCM A2 Scenario for annual Precipitation, 2040-2069, clipped to the DRECP 12 km buffered boundary.Total Precipitation:Â Total monthly precipitation (rain or snow), also summed by water year. Averaged over 30 year ranges. The California Basin Characterization Model (BCM) climate dataset provides historical and projected climate surfaces for the state at a 270 meter resolution. The historical data is based on 4 kilometer PRISM data, and the projected climate surfaces are based on the A2 and B1 scenarios of the PCM and GFDL GCMs. The BCM approach uses a regional water balance model based on high resolution downscaled precipitation and temperature...
This dataset represents Recharge change, from Basin Characterization Model (BCM) output using the PCM A2 Scenario in southern California, for 2010-2039. The data was processed using historic Recharge (1979-2000) and PCM A2 Scenario Recharge (2010-2039) to calculate change. Recharge: Amount of water exceeding field capacity that enters bedrock, occurs at a rate determined by the hydraulic conductivity of the underlying materials, excess water (rejected recharge) is added to runoff. The California Basin Characterization Model (BCM) climate dataset provides historical and projected climate surfaces for the state at a 270 meter resolution. The historical data is based on 4 kilometer PRISM data, and the projected...
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