Simulated average historical streamflow (1971-2000) for AZ and NM, USA

Sep 13, 2012 (Last modified Sep 24, 2012)
Uploaded by Rebecca Degagne
Dataset was scientifically peer reviewed
Description:
This dataset represents the average annual amount of water contributed to the stream network for each watershed, simulated by the model MC1 for the 30-year period 1971-2000. 

Simulated mean streamflow (stormflow + baseflow + runoff) was determined for each HUC5 watershed. Watersheds represent 5th level (HUC5, 10-digit) hydrologic unit boundaries and were acquired from the Natural Resources Conservation Service. Streamflow units are comparable to rainfall - millimeters of water per year.

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 (PNW09-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:
M.A. Hemstrom, J.E. Halofsky, 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 
press. Ecological Applications.
Spatial Resolution:
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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About the Uploader

Rebecca Degagne
Geospatial Scientist with The Conservation Biology Institute

I employ spatial analysis, modeling, and remote sensing to further conservation efforts and support sustainable decision-making, esp. in relation to species management and renewable energy planning. Prior to joining CBI in 2012, I taught courses in the geospatial sciences at College of the Redwoods...