Simulated percent change in potential evaporation between historical and future time periods under three climate change projections for OR and WA, USA

Oct 8, 2012 (Last modified Jan 17, 2013)
Description:
Percent change in the average potential evaporation for each HUC5 watershed between historical (1971-2000) and future (2071-2100) time periods. The MC1 dynamic vegetation model was run under the CSIRO, MIROC, and Hadley climate change projections and the A2 anthropogenic emissions scenario.

Simulated mean potential evaporation (in mm H2O yr-1), was determined for each HUC5 watershed by averaging values of original ~ 4 km raster data. Watersheds represent 5th level (HUC5, 10-digit) hydrologic unit boundaries and were acquired from the Natural Resources Conservation Service. 

Background: The dynamic global vegetation model MC1 (see Bachelet et al. 2001) was used to simulate vegetation dynamics, associated carbon and nitrogen cycle, water budget, and wild fire impacts for OR, WA, AZ and NM, for a project funded by the USDA Forest Service (PNW 09-JV-11261900-003). 

The MC1 model was run using historical data and future climate change projections from three general circulation models: CSIRO Mk3, MIROC 3.2 medres, and Hadley CM3. Future scenario datasets were generated through statistical downscaling using a simple anomaly method. Historical climate input data were provided by the PRISM group (Chris Daly, Oregon State University) at a 30 arc-second (~800 m) spatial grain.

This project was funded through the U.S. Forest Service by the American Recovery and Reinvestment Act and also in part by the Western Wildland Environmental Threat Center.
Data Provided By:
 Conservation Biology Institute
Content date:
not specified
Citation:
J.E. Halofsky, M.A. Hemstrom, D.R. Conklin, J.M. Halofsky, B.K. Kerns, and D. Bachelet. Assessing potential climate change effects on vegetation using a coupled model approach. In prep.
Spatial Resolution:
~ 4 km, HUC5 watershed
Contact Organization:
 Conservation Biology Institute
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Creative Commons LicenseThis work is licensed under a Creative Commons Attribution 3.0 License.
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