%0 Generic %A Wullems, Bas %A Brauer, Claudia %A Baart, Fedor %A Weerts, Albrecht %D 2023 %T Data underlying the publication: Forecasting estuarine salt intrusion in the Rhine-Meuse delta using an LSTM model %U %R 10.4121/21944249.v2 %K Hydrology %K Salt Intrusion %K LSTM %K Machine learning %K estuary %K Delta %K water management %K forecasting %K Water level %K Discharge %X

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.



%I 4TU.ResearchData