SWAT Literature Database for Peer-Reviewed Journal Articles

Title:
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Data assimilation for distributed bydrological catchment modeling via ensenble Kalman filter 
Authors:
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Xie, X. and D. Zhang 
Year:2010 
Journal:Advances in Water Resources 
Volume:33(6) 
Pages:678-690 
Article ID: 
DOI:10.1016/j.advwatres.2010.03.012 
URL (non-DOI journals): 
Model:SWAT 
Broad Application Category:hydrologic only 
Primary Application Category:calibration, sensitivity, and/or uncertainty analysis 
Secondary Application Category:hydrologic assessment 
Watershed Description:
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489.85 km^2 Lake Fork Reservoir in northeastern Texas, USA 
Calibration Summary:
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Validation Summary: 
General Comments: 
Language:English 
Keywords:Data assimilation, Ensemble Kalman filter, Distributed hydrological modeling, Catchment scale, Uncertainty