Article

DROP: A scalable deep learning approach for runoff simulation and river routing

2025-11-25

Abstract excerpt

In this study, we propose a deep runoff prediction and propagation model (DROP), a framework designed for spatially explicit discharge prediction along the river network with computational efficiency and physical interpretability. DROP consists of three modules: a long short-term memory (LSTM) network that predicts local runoff at the hydrological drainage unit (DU) scale, a conceptual water surface evaporation mo...

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Literature Corpus work: c73055c4-8cd4-5177-a1ae-0a09aeb5c0a6
DOI: 10.22541/au.176410929.91946608/v1

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