TY - DATA T1 - Data 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 - Fedor Baart AU - Albrecht Weerts UR - DO - 10.4121/21944249.v2 KW - Hydrology KW - Salt Intrusion KW - LSTM KW - Machine learning KW - estuary KW - Delta KW - water management KW - forecasting KW - Water level KW - Discharge N2 -

Raw and processed data used to build an LSTM model for salt intrusion at Krimpen aan den IJssel in the Rhine-Meuse delta.


Raw water data names are in all capitals and are formatted as VARIABLE_LOCATION_FIRSTYEAR_LASTYEAR_IDENTIFIER.csv


Variables used are:

chloride concentration (CONCTTE)

discharge (Q)

water level (WATHTE)


Locations used are:

Krimpen aan den IJssel (KRIMPADIJSL)

Lekhaven(LEKHVRTOVER)

Hagestein(HAGSBVN)

Lobith(LOBH)

Tiel(TIELWL)

Dordrecht(DORDT)

Hoek van Holland (HOEKVHLD)

Vlaardingen(VLAARDGN)


All these data can also be downloaded from https://waterinfo.rws.nl/#!/nav/expert/. This can be done efficiently with the ddlpy software: https://github.com/openearth/ddlpy.


The file etmgeg_344.txt contains meteorological data mesured in Rotterdam by KNMI (https://www.knmi.nl/nederland-nu/klimatologie/daggegevens)


Features.csv contains daily minimum, mean and maximum values of the water data from Rijkswaterstaat and the wind data from KNMI.



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