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  2. National and Regional Climate Adaptation Science Centers
  3. Southwest CASC
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  5. The Vulnerability of Forests to Climate Change and Wildfire in the Southwestern U.S.
  6. Approved DataSets
  7. Forest exposure (vulnerability) index, 2041-2060, based on MRI-CGCM3 RCP45

Forest exposure (vulnerability) index, 2041-2060, based on MRI-CGCM3 RCP45

Dates

Start Date
2041
End Date
2060
Publication Date

Summary

Exposure (vulnerability) index for the future time period (2041-2060) representing projected climate conditions from the Meterological Research Institute's Coupled Atmosphere-Ocean General Circulation Model (MRI-CGCM3) and the rcp45 emissions scenario. The exposure model uses LANDFIRE vegetation data and Worldclim climate data .The raster values represent exposure scores for the corresponding vegetation type. The modeled vegetation types can be spatially associated with the exposure values by overlaying them with the "landfire_veg_sw_300m.tif" raster.Exposure values represent where the location falls in climate space relative to its recent historical distribution:5 (core 5% of historical climate space); 10 (5 - 10%; still very good); [...]

Contacts

Point of Contact :
Mark Schwartz

Attached Files

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Extension: MG_rcp45_2041_2060.zip
MG_rcp45_2041_2060.tif 8.84 MB
MG_rcp45_2041_2060.tif-ColorRamp.SLD 2.07 KB
MG_rcp45_2041_2060.tif.clr 272 Bytes
MG_rcp45_2041_2060.tif.xml 7.37 KB
MG_rcp45_2041_2060_export.xml
Original FGDC Metadata
View 		3.62 KB

Purpose

The Forest Vulnerability Index measures the projected exposure to climate stress, and can be used as an estimate of the likelihood of forest cover change given a perturbation. Four projected climate scenarios were evaluated for this project: 1) GCM : MRI-CGCM3, RCP45; 2) GCM : MRI-CGCM3, RCP85; 3)GCM : MIROC-ESM-CHEM, RCP45; 4)GCM : MIROC-ESM-CHEM, RCP85. For each scenario, two future time periods were modeled (2041-2060 and 2061-2080). The primary output product is a set of vegetation exposure rasters (see "exposure" folder), which contain the exposure scores for every 300 x 300 meter cell on the landscape. These can be spatially associated with the modeled vegetation types using the vegetation raster ("landfire_veg_sw_300m.tif" in the "veg" folder). See the XML metadata files associated with each raster file for additional information specific to the dataset.

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Communities

  • National and Regional Climate Adaptation Science Centers
  • Southwest CASC

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Additional Information

Raster Extension

boundingBox
minY998745.0
minX-2356275.0
maxY2452845.0
maxX-811875.0
files
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dateUploadedFri Sep 25 11:10:29 MDT 2015
originalMetadatatrue
nameMG_rcp45_2041_2060.tif
contentTypeimage/geotiff
pathOnDisk__disk__f3/76/76/f37676be610d1331ce2c43e08d9da34e64ee1c1d
dateUploadedFri Sep 25 11:26:08 MDT 2015
nameMG_rcp45_2041_2060.tif.clr
contentTypetext/plain
pathOnDisk__disk__33/19/fe/3319fe8be43f0cc1466b2489e666f64508b8e38f
dateUploadedFri Sep 25 11:25:22 MDT 2015
nameMG_rcp45_2041_2060.tif.xml
contentTypeapplication/xml
pathOnDisk__disk__7e/d7/29/7ed7295f6cd59e960d55b50a3b27648ef8edc600
dateUploadedFri Sep 25 11:25:23 MDT 2015
nameMG_rcp45_2041_2060.tif-ColorRamp.SLD
contentTypeapplication/sld+xml
pathOnDisk__disk__5e/93/5b/5e935bf66b53fef84e3b57c8a7ebb37877066e13
dateUploadedFri Sep 25 11:27:06 MDT 2015
nameMG_rcp45_2041_2060
rasterTypeGeoTIFF

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