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- W1005434706 abstract "As researchers explore the impacts of climate change on water resources, they often will use downscaled data from General Circulation Models (GCMs). While such output provides our best estimates of climate response to anthropogenic change, it lacks the spatial and temporal resolution that may affect stream flow. For example, most hydrologic models require hourly inputs, but many statistical downscaling methods provide only daily data. In this study, we evaluate three different disaggregation methods to construct hourly precipitation time series from daily precipitation. These disaggregated data are used as input to the Hydrologic Simulation Program-Fortran (HSPF) watershed model distributed by the US Environmental Protection Agency (EPA) to compare model performance against observed stream flow in two watersheds representing two physiographic settings- South Yadkin (Piedmont), North Carolina and Black (Coastal Plain), South Carolina. The first method disaggregates daily precipitation using a triangular distribution centered around the middle of the day. The second method estimates the number and volume of rain events each day and selects measured intensity patterns from a nearby station to simulate hourly rainfall. The third method is the same as the second, but it conserves daily rainfall volume. Model performance was assessed by comparing observed to simulated stream flow from 2001 to 2003. Six commonly used performance statistics were derived for each simulation: index of agreement, mean absolute error, Nash-Sutcliff efficiency, percent bias, root mean squared error, and coefficient of determination. Though the performance of the three methods was similar, the second and the third methods were more robust than the first one." @default.
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- W1005434706 date "2012-01-01" @default.
- W1005434706 modified "2023-09-24" @default.
- W1005434706 title "Assessing methods to disaggregate daily precipitation for hydrological simulation" @default.
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