2012
DOI: 10.1061/(asce)wr.1943-5452.0000175
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Investigating the Sensitivity of U.S. Streamflow and Water Quality to Climate Change: U.S. EPA Global Change Research Program’s 20 Watersheds Project

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Cited by 52 publications
(32 citation statements)
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“…The A2 IPCC scenario was selected in order to highlight the most austere impacts of CO 2 emissions on climatic patterns by mid-century and because of computational limitations associated with running SWAT for additional scenarios. An approach similar to that used by Johnson et al (2012) to analyze the outputs from many GCM runs for a particular scenario rather than to use fewer GCMs from many scenarios. Finally, I acknowledge that the SCW does not overlap many 1/8 th degree grid cells, which can potentially limit the breadth of the GCM outputs utilized.…”
Section: 31: Data and Modelmentioning
confidence: 99%
“…The A2 IPCC scenario was selected in order to highlight the most austere impacts of CO 2 emissions on climatic patterns by mid-century and because of computational limitations associated with running SWAT for additional scenarios. An approach similar to that used by Johnson et al (2012) to analyze the outputs from many GCM runs for a particular scenario rather than to use fewer GCMs from many scenarios. Finally, I acknowledge that the SCW does not overlap many 1/8 th degree grid cells, which can potentially limit the breadth of the GCM outputs utilized.…”
Section: 31: Data and Modelmentioning
confidence: 99%
“…Meteorological time series used here are a subset of those we developed for a U.S. EPA study of potential climate impacts on hydrology and water quality in large U.S. watersheds (Johnson et al 2012; U.S. EPA 2013). To represent different baseline climate conditions we selected a set of nine first-order weather stations located in different hydroclimatic regions ranging from humid subtropical Tampa, FL (mean temperature 22.3°C) to cold, high-elevation Sugarloaf Reservoir, CO (mean temperature 4.6°C; see Fig.…”
Section: Climate Forcingmentioning
confidence: 99%
“…However, the mismatch of scale between AOGCMs and impacts models (e.g., watershed modeling for water quality and quantity (Johnson et al 2012)) is only one motivation for downscaling. The other major motivation for applying regionalization techniques is the need to resolve important processes at scales finer than those represented in AOGCMs that are important for simulating regional climate.…”
Section: Introductionmentioning
confidence: 99%