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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 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 total precipitation was downscaled using the ratio between each 20 year-period in the future (e.g. 2040-2059) and the simulated historical average (1950-2000) from each GCM. Each layer was then interpolated to a spatial grain of 10x10 km2 using the regularized spline...
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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 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 total precipitation was downscaled using the ratio between each 20 year-period in the future (e.g. 2040-2059) and the simulated historical average (1950-2000) from each GCM. Each layer was then interpolated to a spatial grain of 10x10 km2 using the regularized spline...
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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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Ken Ferschweiler (CBI) used climate data from the PRISM group (Chris Daly, Oregon State University) at 4kmx4km spatial grain across the conterminous USA to generate a climatology or baseline. He then created future climate change scenarios using statistical downscaling and created anomalies from the Hadley CM3 General Circulation Model (GCM) run through the A2 emission scenario (SRES - special report on emission scenarios published in 2000). To run the MAPSS model (Neilson 1995), average monthly temperatures were calculated for the period 2045-2060. This dataset shows the standard deviation of the annual mean temperature for that period.
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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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These data were used to examine how post-fire sedimentation might change in western USA watersheds with future fire from the decade of 2001-10 through 2041-50. The data include previously published projections (Hawbaker and Zhu, 2012a, b) of areas burned by future wildfires for several climate change scenarios and general circulation models (GCMs) that we summarized for 471 watersheds of the western USA. The data also include previously published predictions (Miller et al., 2011) of first year post-fire hillslope soil erosion from GeoWEPP that we summarized for 471 watersheds of the western USA. We synthesized these summarized data in order to project sediment yield from future fires for 471 watersheds through the...
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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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The Nature Conservancy (TNC) has derived climate suitability forecasts for most species of trees and shrubs considered to be ecological dominants of terrestrial Californian habitat types. Our plant projections are compiled as decision support tools to help Conservancy project staff, as well as our external partners, develop the necessary plans, priorities and strategies to successfully adapt to uncertain changes in future climate. In the recently completed Southern Sierra Partnership's 2010 Climate-Adapted Conservation Plan for the Southern Sierra Nevada and Tehachapi Mountains, species and habitat forecasts shown here informed the development of a regional conservation design that explicitly incorporates long-term...
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The Nature Conservancy (TNC) has derived climate suitability forecasts for most species of trees and shrubs considered to be ecological dominants of terrestrial Californian habitat types. Our plant projections are compiled as decision support tools to help Conservancy project staff, as well as our external partners, develop the necessary plans, priorities and strategies to successfully adapt to uncertain changes in future climate. In the recently completed Southern Sierra Partnership's 2010 Climate-Adapted Conservation Plan for the Southern Sierra Nevada and Tehachapi Mountains, species and habitat forecasts shown here informed the development of a regional conservation design that explicitly incorporates long-term...
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The Nature Conservancy (TNC) has derived climate suitability forecasts for most species of trees and shrubs considered to be ecological dominants of terrestrial Californian habitat types. Our plant projections are compiled as decision support tools to help Conservancy project staff, as well as our external partners, develop the necessary plans, priorities and strategies to successfully adapt to uncertain changes in future climate. In the recently completed Southern Sierra Partnership's 2010 Climate-Adapted Conservation Plan for the Southern Sierra Nevada and Tehachapi Mountains, species and habitat forecasts shown here informed the development of a regional conservation design that explicitly incorporates long-term...
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The Nature Conservancy (TNC) has derived climate suitability forecasts for most species of trees and shrubs considered to be ecological dominants of terrestrial Californian habitat types. Our plant projections are compiled as decision support tools to help Conservancy project staff, as well as our external partners, develop the necessary plans, priorities and strategies to successfully adapt to uncertain changes in future climate. In the recently completed Southern Sierra Partnership's 2010 Climate-Adapted Conservation Plan for the Southern Sierra Nevada and Tehachapi Mountains, species and habitat forecasts shown here informed the development of a regional conservation design that explicitly incorporates long-term...
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The Nature Conservancy (TNC) has derived climate suitability forecasts for most species of trees and shrubs considered to be ecological dominants of terrestrial Californian habitat types. Our plant projections are compiled as decision support tools to help Conservancy project staff, as well as our external partners, develop the necessary plans, priorities and strategies to successfully adapt to uncertain changes in future climate. In the recently completed Southern Sierra Partnership's 2010 Climate-Adapted Conservation Plan for the Southern Sierra Nevada and Tehachapi Mountains, species and habitat forecasts shown here informed the development of a regional conservation design that explicitly incorporates long-term...
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The Nature Conservancy (TNC) has derived climate suitability forecasts for most species of trees and shrubs considered to be ecological dominants of terrestrial Californian habitat types. Our plant projections are compiled as decision support tools to help Conservancy project staff, as well as our external partners, develop the necessary plans, priorities and strategies to successfully adapt to uncertain changes in future climate. In the recently completed Southern Sierra Partnership's 2010 Climate-Adapted Conservation Plan for the Southern Sierra Nevada and Tehachapi Mountains, species and habitat forecasts shown here informed the development of a regional conservation design that explicitly incorporates long-term...
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The Nature Conservancy (TNC) has derived climate suitability forecasts for most species of trees and shrubs considered to be ecological dominants of terrestrial Californian habitat types. Our plant projections are compiled as decision support tools to help Conservancy project staff, as well as our external partners, develop the necessary plans, priorities and strategies to successfully adapt to uncertain changes in future climate. In the recently completed Southern Sierra Partnership's 2010 Climate-Adapted Conservation Plan for the Southern Sierra Nevada and Tehachapi Mountains, species and habitat forecasts shown here informed the development of a regional conservation design that explicitly incorporates long-term...
thumbnail
The Nature Conservancy (TNC) has derived climate suitability forecasts for most species of trees and shrubs considered to be ecological dominants of terrestrial Californian habitat types. Our plant projections are compiled as decision support tools to help Conservancy project staff, as well as our external partners, develop the necessary plans, priorities and strategies to successfully adapt to uncertain changes in future climate. In the recently completed Southern Sierra Partnership's 2010 Climate-Adapted Conservation Plan for the Southern Sierra Nevada and Tehachapi Mountains, species and habitat forecasts shown here informed the development of a regional conservation design that explicitly incorporates long-term...
thumbnail
Ken Ferschweiler (CBI) used climate data from the PRISM group (Chris Daly, Oregon State University) at 4kmx4km spatial grain across the conterminous USA to generate a climatology or baseline. He then created future climate change scenarios using statistical downscaling and created anomalies from the Hadley CM3 General Circulation Model (GCM) run through the A2 emission scenario (SRES - special report on emission scenarios published in 2000). To run the MAPSS model (Neilson 1995), average monthly precipitation values were calculated for the period 2045-2060. This dataset shows the mean anomaly (difference) in the annual precipitation for that period with respect to the 1971-2000 baseline period.
thumbnail
The Nature Conservancy (TNC) has derived climate suitability forecasts for most species of trees and shrubs considered to be ecological dominants of terrestrial Californian habitat types. Our plant projections are compiled as decision support tools to help Conservancy project staff, as well as our external partners, develop the necessary plans, priorities and strategies to successfully adapt to uncertain changes in future climate. In the recently completed Southern Sierra Partnership's 2010 Climate-Adapted Conservation Plan for the Southern Sierra Nevada and Tehachapi Mountains, species and habitat forecasts shown here informed the development of a regional conservation design that explicitly incorporates long-term...
thumbnail
The Nature Conservancy (TNC) has derived climate suitability forecasts for most species of trees and shrubs considered to be ecological dominants of terrestrial Californian habitat types. Our plant projections are compiled as decision support tools to help Conservancy project staff, as well as our external partners, develop the necessary plans, priorities and strategies to successfully adapt to uncertain changes in future climate. In the recently completed Southern Sierra Partnership's 2010 Climate-Adapted Conservation Plan for the Southern Sierra Nevada and Tehachapi Mountains, species and habitat forecasts shown here informed the development of a regional conservation design that explicitly incorporates long-term...


map background search result map search result map Standard Deviation of Annual Temperature (2045-2060) from HadCM3 GCM under A2 scenario (Western USA) Average Annual Precipitation Anomaly (2045-2060) from HadCM3 GCM under A2 scenario (Western USA) Calculated change (Celsius) in seasonal temperature average (Summer: 2080-2099), under A2 emission scenario Calculated change (Celsius) in seasonal temperature average (Summer: 2040-2059), under A2 emission scenario Calculated change (Celsius) in seasonal temperature average (Spring: 2040-2059), under A2 emission scenario Standard deviation for average summer temperature (Celsius), 2060-2079, 16 GCMs, A2 emission scenario Seasonal summer precipitation (mm), 2080-2099, average of 16 GCMs, B1 emission scenario Seasonal summer precipitation (mm), 2060-2079, average of 16 GCMs, A2 emission scenario Seasonal spring maximum temperature (Celsius), 2040-2059, average of 6 GCMs, B1 emission scenario Hot, Wet scenario forecast of climate suitability for single-leaf pinyon pine (Pinus monophylla) in the southern Sierra Nevada and Tehachapi Mountains (California, USA) based upon downscaled 2045-2065 IPSL-CM4 A2 projections Hot, dry scenario forecast of climate suitability for California white oak (Quercus lobata) in the southern Sierra Nevada and Tehachapi Mountains (California, USA) based upon downscaled 2045-2065 MIROC3.2 A2  projections Hot, dry scenario forecast of climate suitability for Douglas-fir (Pseudotsuga menziesii) in the southern Sierra Nevada and Tehachapi Mountains (California, USA) based upon downscaled 2045-2065 MIROC3.2 A2  projections Hot, wet scenario forecast of climate suitability for ponderosa pine (Pinus ponderosa) in the southern Sierra Nevada and Tehachapi Mountains (California, USA) based upon downscaled 2045-2065 IPSL-CM4 A2 projections Hot, dry scenario forecast of climate suitability for California juniper (Juniperus californica) in the southern Sierra Nevada and Tehachapi Mountains (California, USA) based upon downscaled 2045-2065 MIROC3.2 A2  projections Ensemble forecast of climate suitability for rubber rabbitbrush (Chrysothamnus nauseosus) in the southern Sierra Nevada and Tehachapi Mountains (California, USA) based upon multiple (n=11) downscaled 2045-2065 A2 GCM projections Hot, wet scenario forecast of climate suitability for mountain mahogany (Cercocarpus betuloides) in the southern Sierra Nevada and Tehachapi Mountains (California, USA) based upon downscaled 2045-2065 IPSL-CM4 A2 projections Hot, dry scenario forecast of climate suitability for big sagebrush (Artemisia tridentata) in the southern Sierra Nevada and Tehachapi Mountains (California, USA) based upon downscaled 2045-2065 MIROC3.2 A2  projections Warm, dry scenario forecast of climate suitability for California buckeye (Aesculus californica) in the southern Sierra Nevada and Tehachapi Mountains (California, USA) based upon downscaled 2045-2065 MRI-CGCM2.3.2 A2  projections Hot, wet scenario forecast of climate suitability for California buckeye (Aesculus californica) in the southern Sierra Nevada and Tehachapi Mountains (California, USA) based upon downscaled 2045-2065 IPSL-CM4 A2 projections Climate, Wildfire, and Erosion Data, Western US Hot, Wet scenario forecast of climate suitability for single-leaf pinyon pine (Pinus monophylla) in the southern Sierra Nevada and Tehachapi Mountains (California, USA) based upon downscaled 2045-2065 IPSL-CM4 A2 projections Hot, dry scenario forecast of climate suitability for California white oak (Quercus lobata) in the southern Sierra Nevada and Tehachapi Mountains (California, USA) based upon downscaled 2045-2065 MIROC3.2 A2  projections Hot, dry scenario forecast of climate suitability for Douglas-fir (Pseudotsuga menziesii) in the southern Sierra Nevada and Tehachapi Mountains (California, USA) based upon downscaled 2045-2065 MIROC3.2 A2  projections Hot, wet scenario forecast of climate suitability for ponderosa pine (Pinus ponderosa) in the southern Sierra Nevada and Tehachapi Mountains (California, USA) based upon downscaled 2045-2065 IPSL-CM4 A2 projections Hot, dry scenario forecast of climate suitability for California juniper (Juniperus californica) in the southern Sierra Nevada and Tehachapi Mountains (California, USA) based upon downscaled 2045-2065 MIROC3.2 A2  projections Ensemble forecast of climate suitability for rubber rabbitbrush (Chrysothamnus nauseosus) in the southern Sierra Nevada and Tehachapi Mountains (California, USA) based upon multiple (n=11) downscaled 2045-2065 A2 GCM projections Hot, wet scenario forecast of climate suitability for mountain mahogany (Cercocarpus betuloides) in the southern Sierra Nevada and Tehachapi Mountains (California, USA) based upon downscaled 2045-2065 IPSL-CM4 A2 projections Hot, dry scenario forecast of climate suitability for big sagebrush (Artemisia tridentata) in the southern Sierra Nevada and Tehachapi Mountains (California, USA) based upon downscaled 2045-2065 MIROC3.2 A2  projections Warm, dry scenario forecast of climate suitability for California buckeye (Aesculus californica) in the southern Sierra Nevada and Tehachapi Mountains (California, USA) based upon downscaled 2045-2065 MRI-CGCM2.3.2 A2  projections Hot, wet scenario forecast of climate suitability for California buckeye (Aesculus californica) in the southern Sierra Nevada and Tehachapi Mountains (California, USA) based upon downscaled 2045-2065 IPSL-CM4 A2 projections Climate, Wildfire, and Erosion Data, Western US Standard Deviation of Annual Temperature (2045-2060) from HadCM3 GCM under A2 scenario (Western USA) Average Annual Precipitation Anomaly (2045-2060) from HadCM3 GCM under A2 scenario (Western USA) Standard deviation for average summer temperature (Celsius), 2060-2079, 16 GCMs, A2 emission scenario Seasonal summer precipitation (mm), 2080-2099, average of 16 GCMs, B1 emission scenario Seasonal summer precipitation (mm), 2060-2079, average of 16 GCMs, A2 emission scenario Seasonal spring maximum temperature (Celsius), 2040-2059, average of 6 GCMs, B1 emission scenario Calculated change (Celsius) in seasonal temperature average (Summer: 2080-2099), under A2 emission scenario Calculated change (Celsius) in seasonal temperature average (Summer: 2040-2059), under A2 emission scenario Calculated change (Celsius) in seasonal temperature average (Spring: 2040-2059), under A2 emission scenario