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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 cliomes for the decade 2060-2069 at 2km spatial resolution. "Cliomes" can be considered to be assemblages of species and aggregated communities that might be expected to occur based on linkages with prevailing climate conditions. They are not the same as actual biomes,...
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...
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 October Snow Day Fraction (in percent) for the decade 2010-2019 at 771x771 meter spatial resolution. The file represents a decadal mean calculated from monthly (October) averages, using the A2 emissions scenario. Snow Day Fraction is the percentage of days in...
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 summer (June, July, August) total precipitation (in millimeters) for the decade 2010-2019 at 771x771 meter spatial resolution. The file represents a decadal mean of seasonal totals calculated from monthly totals, using the A1B emissions scenario. The spatial...
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 winter (December, January, February) total precipitation (in millimeters) for the decade 2010-2019 at 771x771 meter spatial resolution. The file represents a decadal mean of seasonal totals calculated from monthly totals, using the A1B emissions scenario. The...
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 annual total precipitation (in millimeters) for the decade 2010-2019 at 771x771 meter spatial resolution. The file represents a decadal mean of annual totals calculated from monthly totals, using the A1B emissions scenario. It is clipped to the YKL REA study...
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 Thaw (in ordinal dates) for the decade 2060-2069 at 771x771 meter spatial resolution. Day of Thaw approximates when the running mean rises above 0°C. Although raster values represent ordinal dates, the values 0 and 365 are special classes. A value of 0 indicates...
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 set of files includes downscaled projections of decadal means of annual length of growing season (number of days, 0-365) for the decades 2010-2019, 2020-2029, 2050-2059, and 2060-2069 at 771x771 meter spatial resolution. Each file represents a decadal mean of an annual mean calculated from mean monthly data. The spatial...
This is a StoryMap used to organize a series of web applications related to Alaska wildland fires. Alaska Wildland Fire Information uses a tabbed layout. Each tab as a specific fire-related theme. The five (5) tabs are: Wildland Fires: This tab provides access to a broad suite of information related to wildland fires in Alaska. Lightning: This tab is tailored to show current and recent lightning activity in Alaska and neighboring territories. Fire Spotter: This tab is designed to provided information used on wildland fire detection missions. Reporting and Admin: This tab is designed to provide information commonly incorporated into wildland fire reports. Fire History and Fuels: This tab is tailored to provide information...
This data set contains elevation data and shows potential suitable precipitation ranges for Russian Knapweed in the Middle Rockies Ecoregion.
This dataset contains RegCM3 Climate Change modeled November - February precipitation (mm) data for the Middle Rockies Ecoregion (1980-1999).
This dataset contains RegCM3 Climate Change modeled annual temperature (degrees C) data for the Middle Rockies Ecoregion. This dataset represents the change in July/August temperature between the current and future climate scenarios (1980-1999 and 2050-2069).
This data set contains precipitation data and shows potential suitable precipitation ranges for Spotted Knapweed in the Middle Rockies Ecoregion.
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...
Leaf Area Index simulated by the biogeography model MAPSS using RegCM3 climate with GFDL projections as boundary conditions. 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 defines the following plant...
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).
This dataset contains per-pixel anomailes (z-scores) for each variable, which is the distance between two climate means in units of standard deviation. This includes change for the recent time slice (1981-2012) and future timslice (2040-2069). Recent anomalies are 800m resoultion and use PRISM as the source dataset. Future anomalies are 4km resolution and use ClimateWNA as the source dataset. Anomaly = delta (recent or future)/ standard deviation of 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).
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).
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).
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