Data underlying the publication: Forecasting estuarine salt intrusion in the Rhine-Meuse delta using an LSTM model
doi: 10.4121/21944249
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.
- 2023-09-08 first online
- 2023-12-05 published, posted
- NWO perspectief P18-32
Deltares, Department of Operational Water Management & Early Warning, Unit of Inland Water Systems
DATA
- 14,864 bytesMD5:
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README.txt - 889,127,449 bytesMD5:
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CONCTTE_KRIMPADIJSLK2011_2020_8.csv - 1,291,247,104 bytesMD5:
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CONCTTE_LEKHVRTOVR2011_2020_9.csv - 6,026,522 bytesMD5:
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etmgeg_344.txt - 1,219,205 bytesMD5:
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Features.csv - 302,576,681 bytesMD5:
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Q_HAGSBVN2011_2020_18.csv - 322,294,318 bytesMD5:
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Q_LOBH2011_2020_14.csv - 335,040,371 bytesMD5:
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Q_TIELWL2011_2020_16.csv - 418,485,879 bytesMD5:
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WATHTE_DORDT2011_2020_43.csv - 425,841,358 bytesMD5:
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WATHTE_HOEKVHLD2011_2020_34.csv - 426,846,481 bytesMD5:
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WATHTE_KRIMPADIJSL2011_2020_42.csv - 420,383,343 bytesMD5:
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WATHTE_VLAARDGN2011_2020_38.csv -
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