the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
A multitemporal remote sensing approach to parsimonious streamflow modeling in a southcentral Texas watershed, 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.
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Interactive discussion
- RC S1: 'Review of "A multitemporal...."', Anonymous Referee #2, 22 Jan 2007
- RC S4: 'Referee's comment on hessd-2006-0153', Anonymous Referee #4, 25 Jan 2007
- RC S7: 'Review of hessd-2006-0153', Anonymous Referee #1, 25 Jan 2007
- AC S26: 'Co-author's response to referee comments', Blake Weissling, 21 Feb 2007
- EC S114: 'AE comment', Jan Seibert, 26 Mar 2007
Interactive discussion
- RC S1: 'Review of "A multitemporal...."', Anonymous Referee #2, 22 Jan 2007
- RC S4: 'Referee's comment on hessd-2006-0153', Anonymous Referee #4, 25 Jan 2007
- RC S7: 'Review of hessd-2006-0153', Anonymous Referee #1, 25 Jan 2007
- AC S26: 'Co-author's response to referee comments', Blake Weissling, 21 Feb 2007
- EC S114: 'AE comment', Jan Seibert, 26 Mar 2007
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Cited
8 citations as recorded by crossref.
- Implementation of surface soil moisture data assimilation with watershed scale distributed hydrological model E. Han et al. 10.1016/j.jhydrol.2011.11.039
- Assimilation of soil moisture and streamflow observations to improve flood forecasting with considering runoff routing lags S. Meng et al. 10.1016/j.jhydrol.2017.05.024
- Regional flood frequency and spatial patterns analysis in the Pearl River Delta region using L-moments approach T. Yang et al. 10.1007/s00477-009-0308-0
- A new data assimilation approach for improving runoff prediction using remotely-sensed soil moisture retrievals W. Crow & D. Ryu 10.5194/hess-13-1-2009
- Performance of a Monthly Streamflow Prediction Model for Ungauged Watersheds in Spain J. Vicente-Guillén et al. 10.1007/s11269-012-0102-5
- Potentials and constraints of different types of soil moisture observations for flood simulations in headwater catchments A. Bronstert et al. 10.1007/s11069-011-9874-9
- MODIS vegetation metrics as indicators of hydrological response in watersheds of California Mediterranean-type climate zones D. Fitch et al. 10.1016/j.rse.2010.05.026
- Improving Streamflow Prediction Using Remotely-Sensed Soil Moisture and Snow Depth H. Lü et al. 10.3390/rs8060503