TY - DATA T1 - Code underlying the publication: Forecasting estuarine salt intrusion in the Rhine-Meuse delta using an LSTM model PY - 2023/09/25 AU - Bas Wullems AU - Claudia Brauer AU - Albrecht Weerts AU - Fedor Baart UR - DO - 10.4121/21946724.v2 KW - Salt intrusion KW - LSTM KW - Machine learning KW - Hydrology KW - Water management KW - Estuary KW - Delta KW - Forecasting KW - chloride KW - river N2 -

 

Machine learning model for predicting salt concentrations in the Rhine-Meuse delta.

The folder 'Data' contains processed data, identical to 'Features.csv' in the raw dataset.

The folder 'Models' contains an ensemble of LSTM models created with the script 'LSTMv1.py'.

The script 'preprocessing.py' was used to convert the raw data to the daily data in 'Features.csv'.

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