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Service Description: The snow raster contains modeled absolute changes in snow residence time (SRT) calculated using a spatial analog model. The model ingests mean winter average temperature and precipitation. For more information about the model, please see Luce et al., [2014] and Lute and Luce [2017]. Absolute changes in snow residence time are in units of days.The temperature and precipitation data are ensemble mean values across 20 global climate models from the CMIP5 experiment [Taylor et al., 2012], downscaled to a 4km grid. For more information on the downscaling method and to access the raw data, please see Abatzoglou and Brown, [2012] and http://maca.northwestknowledge.net. We used the MACAv2-metdata monthly precipitation and minimum and maximum temperature datasets for the period 1975-2005 (historical) and 2071-2090 (RCP8.5, future). Average temperature was calculated as the arithmetic mean of minimum and maximum temperature datasets. Average temperature was averaged over the winter months (November through March) and precipitation was summed over the winter months. More information on the project associated with this dataset can be found at https://www.fs.fed.us/rm/boise/AWAE/projects/national-forest-climate-change-maps.html. The absolute change in annual SRT was then averaged for each road segment in the authoritative USFS road layer [Date: December, 2019], using the Add Surface Information tool (bilinear method).

Map Name: WO_OSC_RoadsSRT_01

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• Reduction in Snow Residence Time on Forest Service Roads by 2080 (0)

Description: The snow raster contains modeled absolute changes in snow residence time (SRT) calculated using a spatial analog model. The model ingests mean winter average temperature and precipitation. For more information about the model, please see Luce et al., [2014] and Lute and Luce [2017]. Absolute changes in snow residence time are in units of days.The temperature and precipitation data are ensemble mean values across 20 global climate models from the CMIP5 experiment [Taylor et al., 2012], downscaled to a 4km grid. For more information on the downscaling method and to access the raw data, please see Abatzoglou and Brown, [2012] and http://maca.northwestknowledge.net. We used the MACAv2-metdata monthly precipitation and minimum and maximum temperature datasets for the period 1975-2005 (historical) and 2071-2090 (RCP8.5, future). Average temperature was calculated as the arithmetic mean of minimum and maximum temperature datasets. Average temperature was averaged over the winter months (November through March) and precipitation was summed over the winter months. More information on the project associated with this dataset can be found at https://www.fs.fed.us/rm/boise/AWAE/projects/national-forest-climate-change-maps.html. The absolute change in annual SRT was then averaged for each road segment in the authoritative USFS road layer [Date: December, 2019], using the Add Surface Information tool (bilinear method).

Copyright Text: The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.

Spatial Reference: 102100  (3857)


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Spatial Reference: 102100  (3857)

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Spatial Reference: 102100  (3857)

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Comments: The snow raster contains modeled absolute changes in snow residence time (SRT) calculated using a spatial analog model. The model ingests mean winter average temperature and precipitation. For more information about the model, please see Luce et al., [2014] and Lute and Luce [2017]. Absolute changes in snow residence time are in units of days.The temperature and precipitation data are ensemble mean values across 20 global climate models from the CMIP5 experiment [Taylor et al., 2012], downscaled to a 4km grid. For more information on the downscaling method and to access the raw data, please see Abatzoglou and Brown, [2012] and http://maca.northwestknowledge.net. We used the MACAv2-metdata monthly precipitation and minimum and maximum temperature datasets for the period 1975-2005 (historical) and 2071-2090 (RCP8.5, future). Average temperature was calculated as the arithmetic mean of minimum and maximum temperature datasets. Average temperature was averaged over the winter months (November through March) and precipitation was summed over the winter months. More information on the project associated with this dataset can be found at https://www.fs.fed.us/rm/boise/AWAE/projects/national-forest-climate-change-maps.html. The absolute change in annual SRT was then averaged for each road segment in the authoritative USFS road layer.
Subject: Projected Change in Snow Residence Time (Days), 1975-2005 to 2080s, on USFS Roads (Conterminous U.S.)
Category:
Keywords: USDA Forest Service,USFS,OSC,Office of Sustainability and Climate,climate,snow,snow residence time,SRT,roads,transportation,infrastructure
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