Yeakley, AlanSwank, W.T.Hornberger, G.M.Shugart, Herman H.2020-06-192020-06-19Yeakley, Alan & Swank, W.T. & Hornberger, G.M. & Shugart, Herman. (1992), A method of modeling source area response to climate variability, https://www.researchgate.net/publication/282972598_A_method_of_modeling_source_area_response_to_climate_variabilityhttp://hdl.handle.net/11603/18941Conference: Managing water resources during global change : AWRA 28th annual conference & symposium : an international conference At: Reno, NevadaA modeling framework for understanding spatially-explicit relationships between soil moisture dynamics and streamflow generation in upland humid forested watersheds is described. The framework consists of a dynamic canopy interception module and a 2D finite element hillslope hydrology model (IHDM4) having hillslope planes objectively delineated using contour-based terrain analysis (TAPES-C). This approach is fine-scaled both in space and time allowing for the inclusion of topographic and soil heterogeneities necessary for mapping oscillations in the variable source areas of streamflow generation. The modeling frameworl<: is implemented for a small control watershed (WS2) at the Coweeta Hydrologic Laboratory. Simulation results to be presented at the conference include the climate-scale response of variable source areas for hillslope cross-sections to hourly climate data spanning years in which total precipitation was: (a) >20% above average, (b) near average, (c) >20% below average.10 pagesen-USThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.Public Domain Mark 1.0This work was written as part of one of the author's official duties as an Employee of the United States Government and is therefore a work of the United States Government. In accordance with 17 U.S.C. 105, no copyright protection is available for such works under U.S. Law.A method of modeling source area response to climate variabilityText