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Watershed-Scale Response to Climate Change through the Twenty-First Century for Selected Basins across the United States
Author(s) -
Lauren Hay,
Steven L. Markstrom,
Christian D. Ward-Garrison
Publication year - 2011
Publication title -
earth interactions
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.309
H-Index - 38
ISSN - 1087-3562
DOI - 10.1175/2010ei370.1
Subject(s) - downscaling , coupled model intercomparison project , climate change , watershed , environmental science , climate model , precipitation , hydrological modelling , structural basin , climatology , drainage basin , scale (ratio) , surface runoff , meteorology , representative concentration pathways , computer science , geology , geography , cartography , paleontology , ecology , oceanography , machine learning , biology
The hydrologic response of different climate-change emission scenarios for the twenty-first century were evaluated in 14 basins from different hydroclimatic regions across the United States using the Precipitation-Runoff Modeling System (PRMS), a process-based, distributed-parameter watershed model. This study involves four major steps: 1) setup and calibration of the PRMS model in 14 basins across the United States by local U.S. Geological Survey personnel; 2) statistical downscaling of the World Climate Research Programme’s Coupled Model Intercomparison Project phase 3 climate-change emission scenarios to create PRMS input files that reflect these emission scenarios; 3) run PRMS for the climate-change emission scenarios for the 14 basins; and 4) evaluation of the PRMS output. This paper presents an overview of this project, details of the methodology, results from the 14 basin simulations, and interpretation of these results. A key finding is that the hydrological response of the different geographical regions of the United States to potential climate change may be very different, depending on the dominant physical processes of that particular region. Also considered is the tremendous amount of uncertainty present in the climate emission scenarios and how this uncertainty propagates through the hydrologic simulations. This paper concludes with a discussion of the lessons learned and potential for future work.

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