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PRISM climate data for Wyoming. Data can be accessed through the Geospatial Data Gateway http://datagateway.nrcs.usda.gov/.
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Global Drought Hazard Frequency and Distribution is a 2.5 by 2.5 minute grid based upon the International Research Institute for Climate Predition's (IRI) Weighted Anomaly of Standardized Precipitation (WASP). Utilizing average monthly precipitation data from 1980 through 2000 at a resolution of 2.5 degrees, WASP assesses the precipitation deficit or surplus over a three month temporal window that is weighted by the magnitude of the seasonal cyclic variation in precipitation. The three months' averages are derived from the precipitation data and the median rainfall for the 21 year period is calculated for each grid cell. Grid cells where the three month running average of precipitation is less than 1 mm per day...
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Climate Distance Mapper is an interactive web mapping application designed to facilitate informed seed sourcing decisions and to aid in directing regional seed collections. Implemented as a shiny web application (Chang et al. 2017), Climate Distance Mapper is hosted on the web at: https://usgs-werc-shinytools.shinyapps.io/Climate_Distance_Mapper/. The application is designed to guide restoration seed sourcing in the desert southwest by allowing users to interactively match seed sources with restoration sites climatic differences – in the form of multivariate climate distance values – between restoration sites and the surrounding landscape. Climatic distances are based on a combination of variables likely to influence...
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The national dataset was clipped to the WLCI envelope by USGS staff. No other processing was performed on the dataset. This map layer is commonly called Bailey's ecoregions and shows ecosystems of regional extent in the United States, Puerto Rico, and the U.S. Virgin Islands. Four levels of detail are included to show a hierarchy of ecosystems. The largest ecosystems are domains, which are groups of related climates and which are differentiated based on precipitation and temperature. Divisions represent the climates within domains and are differentiated based on precipitation levels and patterns as well as temperature. Divisions are subdivided into provinces, which are differentiated based on vegetation or other...
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This data series contains 2868 temporal datasets.These data are climate model outputs that have been downscaled to 4-km spatial resolution using the Bias Corrected Statistical Downscaling (BCSD) method. Moore and Walden have modified the BCSD method described by Wood et al (2002), Long-range experimental hydrologic forecasting for the eastern United States. Journal of Geophysical Research-Atmospheres 107: 4429-4443 and Salathe (2005), Downscaling simulations of future global climate with application to hydrologic modeling. International Journal of Climatology 25: 419-436. The modifications include a different interpolation scheme between GCM grid cells and a different approach to dealing with extreme values (Z-scores...
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This dataset is a Basin Characterization Model (BCM) output using the GFDL A2 Scenario for average Spring (March, April, May) snowpack change, 2010-2039, 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 GFDL A2 scenario 2010-2039 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...
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This dataset is a Basin Characterization Model (BCM) output using the GFDL A2 Scenario calculated to represent percentage of annual precipitation received during summer months (June, July, August and September), 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: 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...
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This dataset is a Basin Characterization Model (BCM) output using the GFDL A2 Scenario for annual Minimum Temperature, 2070-2099, clipped to the DRECP 12 km buffered boundary.Minimum Temperature:Â The modeled daily maximum and minimum are averaged to give daily average; the minimum daily average in a calendar month becomes the monthly minimum; this is averaged over a 30 year period to determine TMin 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 PRISM data, and the projected climate surfaces are based on the...
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This dataset represents Recharge change, from Basin Characterization Model (BCM) output using the PCM A2 Scenario in southern California, for 2070-2099. The data was processed using historic Recharge (1979-2000) and PCM A2 Scenario Recharge (2070-2099) 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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This dataset is a Basin Characterization Model (BCM) output using the PCM A2 Scenario for annual runoff, 2040-2069, clipped to the DRECP 12 km buffered boundary. 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 GCMs. The BCM approach uses a regional water balance model based on high resolution downscaled precipitation...
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This dataset is historic annual runoff, for 1971-2000, clipped to the DRECP 12 km buffered boundary from the California Basin Characterization Model (BCM) 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 GCMs. The BCM approach uses a regional water balance model based on high resolution downscaled precipitation...
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Using the simple anomaly method (modifying a historical baseline with differences or ratios projected by General Circulation Models), scientists from the California Academy of Sciences downscaled monthly average temperature and monthly total precipitation from 16 different global circulation models (GCMs). The GCMs were described in the latest Intergovernmental Panel for Climate Change (IPCC 2007) and archived at the WCRP PCMDI (http://www-pcmdi.llnl.gov/ipcc/about_ipcc.php). Monthly maximum temperature and monthly minimum temperatures were downscaled from the only 6 GCMs that archived these particular variables. Scientists used Worldclim v.1.4 (Hijmans et al 2005) at 5 arc-minute (~10km) spatial grain as the current...
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Using the simple anomaly method (modifying a historical baseline with differences or ratios projected by General Circulation Models), scientists from the California Academy of Sciences downscaled monthly average temperature and monthly total precipitation from 16 different global circulation models (GCMs). The GCMs were described in the latest Intergovernmental Panel for Climate Change (IPCC 2007) and archived at the WCRP PCMDI (http://www-pcmdi.llnl.gov/ipcc/about_ipcc.php). Monthly maximum temperature and monthly minimum temperatures were downscaled from the only 6 GCMs that archived these particular variables. Scientists used Worldclim v.1.4 (Hijmans et al 2005) at 5 arc-minute (~10km) spatial grain as the current...
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Using the simple anomaly method (modifying a historical baseline with differences or ratios projected by General Circulation Models), scientists from the California Academy of Sciences downscaled monthly average temperature and monthly total precipitation from 16 different global circulation models (GCMs). The GCMs were described in the latest Intergovernmental Panel for Climate Change (IPCC 2007) and archived at the WCRP PCMDI (http://www-pcmdi.llnl.gov/ipcc/about_ipcc.php). Monthly maximum temperature and monthly minimum temperatures were downscaled from the only 6 GCMs that archived these particular variables. Scientists used Worldclim v.1.4 (Hijmans et al 2005) at 5 arc-minute (~10km) spatial grain as the current...
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Using the simple anomaly method (modifying a historical baseline with differences or ratios projected by General Circulation Models), scientists from the California Academy of Sciences downscaled monthly average temperature and monthly total precipitation from 16 different global circulation models (GCMs). The GCMs were described in the latest Intergovernmental Panel for Climate Change (IPCC 2007) and archived at the WCRP PCMDI (http://www-pcmdi.llnl.gov/ipcc/about_ipcc.php). Monthly maximum temperature and monthly minimum temperatures were downscaled from the only 6 GCMs that archived these particular variables. Scientists used Worldclim v.1.4 (Hijmans et al 2005) at 5 arc-minute (~10km) spatial grain as the current...
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This dataset depicts the Difference for Summer Precipitation for 2015-2030 and 2045-2060 compared to 1968-1999 for GENMOM. These data have been generated using a regional climate model called RegCM3 using boundary conditions from observations or general circulation models for historical conditions, and from GCM projections for future conditions. Regional climate model description: RegCM3 is the third generation of the Regional Climate Model originally developed at the National Center for Atmospheric Research during the late 1980s and early 1990s. Details on current model components and applications of the model can be found in numerous publications (e.g., Giorgi et al, 2004a,b, Pal et al, 2007), the ICTP RegCNET...
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Using the simple anomaly method (modifying a historical baseline with differences or ratios projected by General Circulation Models), scientists from the California Academy of Sciences downscaled monthly average temperature and monthly total precipitation from 16 different global circulation models (GCMs). The GCMs were described in the latest Intergovernmental Panel for Climate Change (IPCC 2007) and archived at the WCRP PCMDI (http://www-pcmdi.llnl.gov/ipcc/about_ipcc.php). Monthly maximum temperature and monthly minimum temperatures were downscaled from the only 6 GCMs that archived these particular variables. Scientists used Worldclim v.1.4 (Hijmans et al 2005) at 5 arc-minute (~10km) spatial grain as the current...


map background search result map search result map Precipitation Monthly for February 1971 - 2000 for Wyoming at 1:250,000 Baileys Ecoregions, restricted to original WLCI boundary (effective 2007-May 2009) Downscaled Climate Model Output for the Contiguous United States from IPCC AR4 Scenarios [Bias Corrected Statistical Downscaling (BCSD) Method] GFDL A2 Scenario Average Spring Snowpack Change, Sierra Nevada, 2010-2039 GFDL A2 Scenario Percentage of Annual Precipitation Received During the Summer Months- DRECP, 2040-2069 GFDL A2 Scenario Annual Minimum Temperature - DRECP, 2070-2099 PCM A2 Recharge Change, Southern California, 2070-2099 PCM A2 Scenario Annual Runoff, DRECP, 2040-2069 Historic Annual Runoff, DRECP, 1971-2000 Calculated change (Celsius) in seasonal temperature maximum (Spring: 2020-2039), under A2 emission scenario Calculated change (Celsius) in seasonal temperature maximum (Winter: 2080-2099), under B1 emission scenario Calculated change (mm) in seasonal precipitation average (Spring: 2020-2039), under B1 emission scenario Calculated change (Celsius) in seasonal temperature average (Spring: 2060-2079), under A2 emission scenario 4KM Difference: Summer Precipitation (2015-2060) from GENMOM-driven RegCM3 climate model (Western US) Average vapor pressure deficit 2071 to 2000 under the CSIRO A2 climate scenario for the eastern Oregon study area USA Global Drought Hazard Frequency and Distribution Standard deviation for winter minimum temperature (Celsius), 2020-2039, 6 GCMs, A2 emission scenario Climate Distance Mapper R Script Average vapor pressure deficit 2071 to 2000 under the CSIRO A2 climate scenario for the eastern Oregon study area USA Baileys Ecoregions, restricted to original WLCI boundary (effective 2007-May 2009) Precipitation Monthly for February 1971 - 2000 for Wyoming at 1:250,000 PCM A2 Scenario Annual Runoff, DRECP, 2040-2069 Historic Annual Runoff, DRECP, 1971-2000 GFDL A2 Scenario Percentage of Annual Precipitation Received During the Summer Months- DRECP, 2040-2069 GFDL A2 Scenario Annual Minimum Temperature - DRECP, 2070-2099 GFDL A2 Scenario Average Spring Snowpack Change, Sierra Nevada, 2010-2039 PCM A2 Recharge Change, Southern California, 2070-2099 Climate Distance Mapper R Script 4KM Difference: Summer Precipitation (2015-2060) from GENMOM-driven RegCM3 climate model (Western US) Downscaled Climate Model Output for the Contiguous United States from IPCC AR4 Scenarios [Bias Corrected Statistical Downscaling (BCSD) Method] Global Drought Hazard Frequency and Distribution Standard deviation for winter minimum temperature (Celsius), 2020-2039, 6 GCMs, A2 emission scenario Calculated change (mm) in seasonal precipitation average (Spring: 2020-2039), under B1 emission scenario Calculated change (Celsius) in seasonal temperature average (Spring: 2060-2079), under A2 emission scenario Calculated change (Celsius) in seasonal temperature maximum (Spring: 2020-2039), under A2 emission scenario Calculated change (Celsius) in seasonal temperature maximum (Winter: 2080-2099), under B1 emission scenario