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- W4297294172 abstract "We adapted the WRF-Hydro modeling system to Hurricane Florence (2018) and performed a series of diagnostic experiments to assess the influence of initial soil moisture and precipitation magnitude on flood simulation over the Cape Fear River basin in the United States. Model results suggest that: 1) The modulation effect of initial soil moisture on the flood peak is non-linear and weakens as precipitation magnitude increases. There is a threshold value of the soil saturation, below and above which the sensitivity of flood peak to the soil moisture differentiates substantially; 2) For model spin-up, streamflow needs longer time to reach the “practical” equilibrium (10%) than the soil moisture and latent heat flux. The model uncertainty from spin-up can propagate through the hydrometeorological modeling chain and get amplified into the flood peak; 3) For ensemble flood modeling with a hydrometeorological system, modeling uncertainty is dominated by the precipitation forecast. Spin-up induced uncertainty can be minimized once the model reaches the “practical” equilibrium. This article is protected by copyright. All rights reserved." @default.
- W4297294172 created "2022-09-28" @default.
- W4297294172 creator A5020162104 @default.
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- W4297294172 creator A5088679271 @default.
- W4297294172 date "2022-10-01" @default.
- W4297294172 modified "2023-09-30" @default.
- W4297294172 title "Understanding the role of initial soil moisture and precipitation magnitude in flood forecast using a hydrometeorological modelling system" @default.
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