Rainfall-runoff modeling using the LSTM network

Version 1.0.3 (305 KB) by Peng Bai
Using the LSTM network to simulate daily runoff at a US. MOPEX basin
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Updated 28 Feb 2021

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The code of the LSTM network for rainfall-runoff modeling. The model is run at a daily step, and the forcing data are the basin-averaged precipitation, potential evaporation, maximum and minimum temperature. The used data comes from the U.S. MOPEX data set (https://www.nws.noaa.gov/ohd/mopex/mo_datasets.htm).

Cite As

Peng Bai, Xiaomang Liu and Jiaxin Xie. Simulating runoff under changing climatic condition: a comparison of the long-short memory network with two conceptual hydrological models. Journal of Hydrology, 2021, 592: 125779. https://doi.org/10.1016/j.jhydrol.2020.125779

MATLAB Release Compatibility
Created with R2019a
Compatible with any release
Platform Compatibility
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Version Published Release Notes
1.0.3

A custom function (Normalization.m) was added to modify the run error of the file.
1.0.2

Updated the information of articles that need to be cited
1.0.1

adding a example
1.0.0