Improving curve number based storm runoff estimates using soil moisture proxies
Advances in data dissemination and the availability of new remote sensing datasets present both opportunities and challenges for hydrologists in improving flood forecasting systems. The current study investigates the improvement in SCS curve number (CN)-based storm runoff estimates obtained after inclusion of various soil moisture proxies based on additional data on precipitation, baseflow, and soil moisture. A dataset (1980-2007) comprising 186 Australian catchments (ranging from 51 to 1979...[Show more]
|Collections||ANU Research Publications|
|Source:||IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing|
|01_Beck_Improving_curve_number_based_2009.pdf||1.01 MB||Adobe PDF||Request a copy|
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