Evaluation of Statistically Downscaled GCM Output as Input for Hydrological and Stream Temperature Simulation in the Apalachicola–Chattahoochee–Flint River Basin (1961–99)

Earth Interactions

Lauren E.Hay¹ 

关键词: Precipitation-Runoff Modeling System;    Stream Network Temperature model;    Asynchronous regional regression model;    Statistical downscaling;    General circulation model;    Apalachicola–Chattahoochee–Flint River basin;   

DOI  :  10.1175/2013EI000554.1

学科分类：地球科学(综合)

来源: American Geophysical Union

【 摘 要 】

AbstractThe accuracy of statistically downscaled general circulation model (GCM) simulations of daily surface climate for historical conditions (1961–99) and the implications when they are used to drive hydrologic and stream temperature models were assessed for the Apalachicola–Chattahoochee–Flint River basin (ACFB). The ACFB is a 50 000 km2 basin located in the southeastern United States. Three GCMs were statistically downscaled, using an asynchronous regional regression model (ARRM), to ⅛° grids of daily precipitation and minimum and maximum air temperature. These ARRM-based climate datasets were used as input to the Precipitation-Runoff Modeling System (PRMS), a deterministic, distributed-parameter, physical-process watershed model used to simulate and evaluate the effects of various combinations of climate and land use on watershed response. The ACFB was divided into 258 hydrologic response units (HRUs) in which the components of flow (groundwater, subsurface, and surface) are computed in response to ...

【 授权许可】

Unknown