Abstract
Despite the fact that Global Climate Model (GCM) outputs have been used to project hydrologic impacts of climate change using off-line hydrologic models for two decades, many of these efforts have been disjointed - applications or at least calibrations have been focused on individual river basins and using a few of the available GCMs. This study improves upon earlier attempts by systematically projecting hydrologic impacts for the entire conterminous United States (US), using outputs from ten GCMs from the latest Coupled Model Intercomparison Project phase 5 (CMIP5) archive, with seamless hydrologic model calibration and validation techniques to produce a spatially and temporally consistent set of current hydrologic projections. The Variable Infiltration Capacity (VIC) model was forced with ten-member ensemble projections of precipitation and air temperature that were dynamically downscaled using a regional climate model (RegCM4) and bias-corrected to 1/24° (~. 4 km) grid resolution for the baseline (1966-2005) and future (2011-2050) periods under the Representative Concentration Pathway 8.5. Based on regional analysis, the VIC model projections indicate an increase in winter and spring total runoff due to increases in winter precipitation of up to 20% in most regions of the US. However, decreases in snow water equivalent (SWE) and snow-covered days will lead to significant decreases in summer runoff with more pronounced shifts in the time of occurrence of annual peak runoff projected over the eastern and western US. In contrast, the central US will experience year-round increases in total runoff, mostly associated with increases in both extreme high and low runoff. The projected hydrological changes described in this study have implications for various aspects of future water resource management, including water supply, flood and drought preparation, and reservoir operation.
Original language | English |
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Pages (from-to) | 100-117 |
Number of pages | 18 |
Journal | Global and Planetary Change |
Volume | 143 |
DOIs | |
State | Published - Aug 1 2016 |
Funding
This manuscript has been authored by UT-Battelle, LLC, under Contract No. DE-AC05-00OR22725 with the US Department of Energy. The United States Government retains and the publisher, by accepting the article for publication, acknowledges that the United States Government retains a non-exclusive, paid-up, irrevocable, world-wide license to publish or reproduce the published form of this manuscript, or allow others to do so, for United States Government purposes. The Department of Energy will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan ( http://energy.gov/downloads/doe-public-access-plan ). We thank the editor and anonymous reviewers for their insightful and constructive comments. This study was funded by the Regional and Global Modeling Program, Office of Science , and the Wind and Water Power Technologies Office, Office of Energy Efficiency and Renewable Energy of the US Department of Energy (DOE) , and supported a DOE Report to Congress under Section 9505 of the SECURE Water Act of 2009 (Public Law 111-11). This research used resources of the Oak Ridge Leadership Computing Facility at the Oak Ridge National Laboratory (ORNL). The ORNL authors are employees of UT-Battelle, LLC, under contract DE-AC05-00OR22725 with DOE. Accordingly, the US Government retains and the publisher, by accepting the article for publication, acknowledges that the US Government retains a non-exclusive, paid-up, irrevocable, world-wide license to publish or reproduce the published form of this manuscript, or allow others to do so, for US Government purposes. The US DOE will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan ( http://energy.gov/downloads/doe-public-access-plan ).
Funders | Funder number |
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Wind and Water Power Technologies Office | |
U.S. Department of Energy | DE-AC05-00OR22725, 111-11 |
Office of Energy Efficiency and Renewable Energy |
Keywords
- CMIP5
- Extreme events
- Hydroclimate change
- RegCM4
- VIC
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Dayflow: CONUS Daily Streamflow Reanalysis, Version 1 (V1)
Kao, S.-C. (Creator), Ghimire, G. (Creator), Hansen, C. (Creator), Gangrade, S. (Creator), Thornton, P. (Creator) & Singh, D. (Creator), HydroSource, Mar 1 2022
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