www.hydrol-earth-syst-sci-discuss.net/4/1/2007/ © Author(s) 2007. This work is licensed under a Creative Commons License. A multitemporal remote sensing approach to parsimonious streamflow modeling in a southcentral Texas watershed, USA 1Department of Earth and Environmental Sciences, University of Texas San Antonio, 6900 N. Loop 1604 West, San Antonio, Texas, 78249, USA 2SWCA Environmental Consultants, 6200 UTSA Boulevard, Suite 102, San Antonio, Texas, 78249, USA Abstract. Soil moisture condition plays a vital role in a watershed's hydrologic response to a precipitation event and is thus parameterized in most, if not all, rainfall-runoff models. Yet the soil moisture condition antecedent to an event has proven difficult to quantify both spatially and temporally. This study assesses the potential to parameterize a parsimonious streamflow prediction model solely utilizing precipitation records and multi-temporal remotely sensed biophysical variables (i.e.~from Moderate Resolution Imaging Spectroradiometer (MODIS)/Terra satellite). This study is conducted on a 1420 km2 rural watershed in the Guadalupe River basin of southcentral Texas, a basin prone to catastrophic flooding from convective precipitation events. A multiple regression model, accounting for 78% of the variance of observed streamflow for calendar year 2004, was developed based on gauged precipitation, land surface temperature, and enhanced vegetation Index (EVI), on an 8-day interval. These results compared favorably with streamflow estimations utilizing the Natural Resources Conservation Service (NRCS) curve number method and the 5-day antecedent moisture model. This approach has great potential for developing near real-time predictive models for flood forecasting and can be used as a tool for flood management in any region for which similar remotely sensed data are available. Discussion Paper (PDF, 856 KB) Interactive Discussion (Final Response, 5 Comments) Citation: Weissling, B. P., Xie, H., and Murray, K. E.: A multitemporal remote sensing approach to parsimonious streamflow modeling in a southcentral Texas watershed, USA, Hydrol. Earth Syst. Sci. Discuss., 4, 1-33, 2007. Bibtex EndNote Reference Manager |
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