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Some of the YKL rasters intentionally do not align or have the same extent. These rasters were not snapped to a common raster per the authors' discretion. Please review selected rasters prior to use. These varying alignments are a result of the use of differing source data sets and all products derived from them. We recommend that users snap or align rasters as best suits their own projects. - This file includes a downscaled projection of decadal average of February Snow Day Fraction (in percent) for the decade 2050-2059 at 771x771 meter spatial resolution. The file represents a decadal mean calculated from monthly (February) averages, using the A2 emissions scenario. Snow Day Fraction is the percentage of days...
Some of the CYR rasters intentionally do not align or have the same extent. These rasters were not snapped to a common raster per the authors' discretion. Please review selected rasters prior to use. These varying alignments are a result of the use of differing source data sets and all products derived from them. We recommend that users snap or align rasters as best suits their own projects. - This file includes a downscaled projection of decadal average of winter (December, January, February) total precipitation (in millimeters) for the decades 2010-2019, 2020-2029, and 2060-2069 at 771x771 meter spatial resolution. The file represents a decadal mean of seasonal totals calculated from monthly totals, using the...
This dataset is a raster of predicted suitable bioclimate using statistical correlations between known habitat and current climate (1950-1999 average) , and then projecting that niche into the future. The future timeslices used are 2020's, which is an average of 2020-2029, and 2050's which is 2050-2059. The Values 1-6 show the degree of model agreement (For example: areas with a value of 1 is where only 1 GCM predicted suitability; pixels with a value of 6 are where 6 GCMs predicted suitability, ect). *see Maxent output pdfs for more details about model inputs and settings.
Some of the YKL rasters intentionally do not align or have the same extent. These rasters were not snapped to a common raster per the authors' discretion. Please review selected rasters prior to use. These varying alignments are a result of the use of differing source data sets and all products derived from them. We recommend that users snap or align rasters as best suits their own projects. - This file includes a downscaled projection of decadal mean Day of Freeze (in ordinal dates) for the decade 2060-2069 at 771x771 meter spatial resolution. Day of Freeze approximates when the running mean dips below 0°C. Although raster values represent ordinal dates, the values 0 and 365 are special classes. A value of 0 indicates...
Difference of Potential Evapotranspiration simulated by the biogeography model MAPSS using RegCM3 climate with GFDL projections as boundary conditions. Units are millimeters of water. MAPSS (Mapped Atmosphere-Plant-Soil System) is a static biogeography model that projects potential vegetation distribution and hydrological flows on a grid (http://www.databasin.org/climate-center/features/mapss-model). MAPSS has been used widely for various climate change assessments including the 2000 National Assessment Synthesis Team's report. MAPSS uses long term, average monthly climate data (mean monthly temperature, vapor pressure, wind speed, and precipitation) as well as soils information (texture, depth). Based on a set...
For each variable the per pixel change between the recent time slice (1981-2012) or future timslice (2050s) and the baseline (1900-1980) was calculated, identifying climate “deltas” for each pixel. Recent deltas are 800m resolution and use PRISM as the source dataset. Future deltas are 4km resolution and use ClimateWNA as the source dataset. Delta = later timeslice (recent or future) - baseline. Raster values are expressed in climate units either mm for precipitation or degrees c for temperature. delta ratio values are included for precipitation and CMD, which are ratios of change (1 = no change, < 1 = decreasing, > 1 = increasing).
Difference of Runoff (2045-2060 vs 1968-1999) simulated by the biogeography model MAPSS using RegCM3 climate with ECHAM5 projections as boundary conditions. Units are millimeters of water. MAPSS (Mapped Atmosphere-Plant-Soil System) is a static biogeography model that projects potential vegetation distribution and hydrological flows on a grid (http://www.databasin.org/climate-center/features/mapss-model). MAPSS has been used widely for various climate change assessments including the 2000 National Assessment Synthesis Team's report. MAPSS uses long term, average monthly climate data (mean monthly temperature, vapor pressure, wind speed, and precipitation) as well as soils information (texture, depth). Based on a...
The dataset represents the work of multiple states and Federal agencies as part of the US Gap Analysis and LandFire programs. Multi-season satellite imagery (Landsat ETM+) from 1999-2001 were used in conjunction with digital elevation model (DEM) derived datasets (e.g. elevation, landform) to model natural and semi-natural vegetation. The minimum mapping unit for this dataset is approximately 1 acre. Landcover classes are drawn from NatureServe's Ecological System concept. Five-hundred and fourty-four land cover classes composed of 12 cultural and 532 Natural/Semi-natural types are described. Land cover classes were mapped with a variety of techniques including decision tree classifiers, terrian modeling, inductive...
Climate data (Average Annual Temperature for 1968-1999) were created by PRISM (Parameter-elevation Regressions on Indepenent Slopes Model - prism.oregonstate.edu) on a 2.5 arc-minute lat-lon grid. They are based on historical observations from 1968-1999. We created mean monthly climatologies for that period from the PRISM data, and reprojected the results to the BLM Albers 4km grid. We used these results as a historical baseline climate to de-bias RegCM3 projections. We also compiled annual and seasonal summaries of precipitation and temperature from the PRISM data to allow for simple comparisons with other climatologies. Units are degrees celsius.
Average Winter (Jan-Mar) Temperature (2045-2060) simulated by RegCM3 with ECHAM5 projections as boundary conditions. Units are degrees Celsius. These data were generated by the regional climate model RegCM3 with boundary conditions from a GCM future climate projections. The data were downscaled statistically by calculating differences (anomalies) between the RegCM3 results with GCM-driven boundary conditions for 1968-99 and those for a future period, in this case 2015-2030. The anomalies were added (temperatures) or multiplied (precipitation) to a climate baseline from PRISM (Parameter-elevation Regressions on Indepenent Slopes Model - prism.oregonstate.edu) data based on historical observations. The PRISM baseline...
For each variable the per pixel change between the recent time slice (1981-2012) or future timslice (2050s) and the baseline (1900-1980) was calculated, identifying climate “deltas” for each pixel. Recent deltas are 800m resolution and use PRISM as the source dataset. Future deltas are 4km resolution and use ClimateWNA as the source dataset. Delta = later timeslice (recent or future) - baseline. Raster values are expressed in climate units either mm for precipitation or degrees c for temperature. delta ratio values are included for precipitation and CMD, which are ratios of change (1 = no change, < 1 = decreasing, > 1 = increasing).
The dataset represents the work of multiple states and Federal agencies as part of the US Gap Analysis and LandFire programs. Multi-season satellite imagery (Landsat ETM+) from 1999-2001 were used in conjunction with digital elevation model (DEM) derived datasets (e.g. elevation, landform) to model natural and semi-natural vegetation. The minimum mapping unit for this dataset is approximately 1 acre. Landcover classes are drawn from NatureServe's Ecological System concept. Five-hundred and fourty-four land cover classes composed of 12 cultural and 532 Natural/Semi-natural types are described. Land cover classes were mapped with a variety of techniques including decision tree classifiers, terrian modeling, inductive...
Average Annual Temperature (2015-2030) simulated by RegCM3 with GENMOM projections as boundary conditions. Units are degrees Celsius. These data were generated by the regional climate model RegCM3 with boundary conditions from a GCM future climate projections. The data were downscaled statistically by calculating differences (anomalies) between the RegCM3 results with GCM-driven boundary conditions for 1968-99 and those for a future period, in this case 2015-2030. The anomalies were added (temperatures) or multiplied (precipitation) to a climate baseline from PRISM (Parameter-elevation Regressions on Indepenent Slopes Model - prism.oregonstate.edu) data based on historical observations. The PRISM baseline was calculated...
Runoff simulated by the biogeography model MAPSS using RegCM3 climate with GENMOM projections as boundary conditions. Units are millimeters of water. MAPSS (Mapped Atmosphere-Plant-Soil System) is a static biogeography model that projects potential vegetation distribution and hydrological flows on a grid (http://www.databasin.org/climate-center/features/mapss-model). MAPSS has been used widely for various climate change assessments including the 2000 National Assessment Synthesis Team's report. MAPSS uses long term, average monthly climate data (mean monthly temperature, vapor pressure, wind speed, and precipitation) as well as soils information (texture, depth). Based on a set of climatic thresholds, the model...
Average Annual Temperature (2015-2030) simulated by RegCM3 with ECHAM5 projections as boundary conditions. Units are degrees Celsius. These data were generated by the regional climate model RegCM3 with boundary conditions from a GCM future climate projections. The data were downscaled statistically by calculating differences (anomalies) between the RegCM3 results with GCM-driven boundary conditions for 1968-99 and those for a future period, in this case 2015-2030. The anomalies were added (temperatures) or multiplied (precipitation) to a climate baseline from PRISM (Parameter-elevation Regressions on Indepenent Slopes Model - prism.oregonstate.edu) data based on historical observations. The PRISM baseline was calculated...
Potential Evapotranspiration simulated by the biogeography model MAPSS using RegCM3 climate with GFDL projections as boundary conditions. Units are millimeters of water. MAPSS (Mapped Atmosphere-Plant-Soil System) is a static biogeography model that projects potential vegetation distribution and hydrological flows on a grid (http://www.databasin.org/climate-center/features/mapss-model). MAPSS has been used widely for various climate change assessments including the 2000 National Assessment Synthesis Team's report. MAPSS uses long term, average monthly climate data (mean monthly temperature, vapor pressure, wind speed, and precipitation) as well as soils information (texture, depth). Based on a set of climatic thresholds,...
Difference of Spring (Apr-Jun) Precipitation (2045-2060 vs 1968-1999) simulated by RegCM3 with ECHAM5 projections as boundary conditions. Units are millimeters. These data were generated by the regional climate model RegCM3 with boundary conditions from a GCM future climate projections. The data were downscaled statistically by calculating differences (anomalies) between the RegCM3 results with GCM-driven boundary conditions for 1968-99 and those for a future period, in this case 2015-2030. The anomalies were added (temperatures) or multiplied (precipitation) to a climate baseline from PRISM (Parameter-elevation Regressions on Indepenent Slopes Model - prism.oregonstate.edu) data based on historical observations....
Average Summer (Jul-Sep) Temperature (2015-2030) simulated by RegCM3 with ECHAM5 projections as boundary conditions. Units are degrees Celsius. These data were generated by the regional climate model RegCM3 with boundary conditions from a GCM future climate projections. The data were downscaled statistically by calculating differences (anomalies) between the RegCM3 results with GCM-driven boundary conditions for 1968-99 and those for a future period, in this case 2015-2030. The anomalies were added (temperatures) or multiplied (precipitation) to a climate baseline from PRISM (Parameter-elevation Regressions on Indepenent Slopes Model - prism.oregonstate.edu) data based on historical observations. The PRISM baseline...
Average Winter (Jan-Mar) Temperature (2045-2060) simulated by RegCM3 with GENMOM projections as boundary conditions. Units are degrees Celsius. These data were generated by the regional climate model RegCM3 with boundary conditions from a GCM future climate projections. The data were downscaled statistically by calculating differences (anomalies) between the RegCM3 results with GCM-driven boundary conditions for 1968-99 and those for a future period, in this case 2015-2030. The anomalies were added (temperatures) or multiplied (precipitation) to a climate baseline from PRISM (Parameter-elevation Regressions on Indepenent Slopes Model - prism.oregonstate.edu) data based on historical observations. The PRISM baseline...
Runoff simulated by the biogeography model MAPSS using RegCM3 climate with ECHAM5 projections as boundary conditions. Units are millimeters of water. MAPSS (Mapped Atmosphere-Plant-Soil System) is a static biogeography model that projects potential vegetation distribution and hydrological flows on a grid (http://www.databasin.org/climate-center/features/mapss-model). MAPSS has been used widely for various climate change assessments including the 2000 National Assessment Synthesis Team's report. MAPSS uses long term, average monthly climate data (mean monthly temperature, vapor pressure, wind speed, and precipitation) as well as soils information (texture, depth). Based on a set of climatic thresholds, the model...
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