Articles | Volume 26, issue 9
Research article
09 May 2022
Research article |  | 09 May 2022

Impact of spatial distribution information of rainfall in runoff simulation using deep learning method

Yang Wang and Hassan A. Karimi

Related subject area

Subject: Catchment hydrology | Techniques and Approaches: Modelling approaches
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Cited articles

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Short summary
We found that rainfall data with spatial information can improve the model's performance, especially when simulating the future multi-day discharges. We did not observe that regional LSTM as a regional model achieved better results than LSTM as individual model. This conclusion applies to both one-day and multi-day simulations. However, we found that using spatially distributed rainfall data can reduce the difference between individual LSTM and regional LSTM.