Developing a distributed modeling framework considering the spatiotemporally varying hydrological processes for sub-daily flood forecasting in semi-humid and semi-arid watersheds
Xiaoyang Li,
Lei Ye,
Xuezhi Gu
et al.
Abstract:The complex and varied climate, short duration and high intensity of rainfall, and complicated subsurface properties of semi-humid and semi-arid watersheds pose challenges for sub-daily flood forecasting. Previous studies revealed that lumped models are insufficient because they do not effectively account for the spatial variability of hydrological processes. Extending the lumped model to a distributed modeling framework is a reliable approach for runoff simulation. However, existing distributed models do not … Show more
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