{"@context":"http://schema.org","@type":"Dataset","@id":"https://doi.org/10.26165/JUELICH-DATA/WPRA1F","identifier":"https://doi.org/10.26165/JUELICH-DATA/WPRA1F","name":"Using Long Short-Term Memory networks to connect water table depth anomalies to precipitation anomalies over Europe","creator":[{"name":"Ma, Yueling","affiliation":"Forschungszentrum Jülich"},{"name":"Montzka, Carsten","affiliation":"Forschungszentrum Jülich"},{"name":"Bayat, Bagher","affiliation":"Forschungszentrum Jülich"},{"name":"Kollet, Stefan","affiliation":"Forschungszentrum Jülich"}],"author":[{"name":"Ma, Yueling","affiliation":"Forschungszentrum Jülich"},{"name":"Montzka, Carsten","affiliation":"Forschungszentrum Jülich"},{"name":"Bayat, Bagher","affiliation":"Forschungszentrum Jülich"},{"name":"Kollet, Stefan","affiliation":"Forschungszentrum Jülich"}],"datePublished":"2021-05-31","dateModified":"2022-03-17","version":"1","description":["This study utilized spatiotemporally continuous precipitation anomaly (pr_a) and water table depth anomaly (wtd_a) from integrated hydrologic simulation results (i.e., the TSMP-G2A data set) over Europe in combination with Long Short-Term Memory (LSTM) networks to capture the time-varying and time-lagged relationship between pr_a and wtd_a in order to obtain reliable models to estimate wtd_a at the individual pixel level. The data files provide the TSMP-G2A pr_a, the TSMP-G2A wtd_a, and the LSTM wtd_a data from 1996 to 2016, with a spatial resolution of 0.11 degree."],"keywords":["Earth and Environmental Sciences","Groundwater","Long Short-Term Memory (LSTM) networks","Anomalies","Europe"],"citation":[{"@type":"CreativeWork","text":"Ma, Y., Montzka, C., Bayat, B. and Kollet, S.: Using Long Short-Term Memory networks to connect water table depth anomalies to precipitation anomalies over Europe, Hydrol. Earth Syst. Sci., 25(6), 3555–3575, 2021.","@id":"https://doi.org/10.5194/hess-25-3555-2021","identifier":"https://doi.org/10.5194/hess-25-3555-2021"}],"license":{"@type":"Dataset","text":"CC0","url":"https://creativecommons.org/publicdomain/zero/1.0/"},"includedInDataCatalog":{"@type":"DataCatalog","name":"Jülich DATA","url":"https://data.fz-juelich.de"},"publisher":{"@type":"Organization","name":"Jülich DATA"},"provider":{"@type":"Organization","name":"Jülich DATA"},"distribution":[{"@type":"DataDownload","name":"LSTM_monthly_groundwater_table_depth_anomaly_FZJ-IBG3_LSTM_0.1_degree_v1.1996_2016.nc","fileFormat":"application/x-netcdf","contentSize":352187741,"description":"Monthly groundwater table depth anomalies generated from the proposed LSTM networks","contentUrl":"https://data.fz-juelich.de/api/access/datafile/3323"},{"@type":"DataDownload","name":"TSMP_G2A_monthly_groundwater_table_depth_anomaly_FZJ-IBG3_TSMP_0.1_degree_v1.1996_2016.nc","fileFormat":"application/x-netcdf","contentSize":176102237,"description":"Monthly groundwater table depth anomalies calculated from the TSMP-G2A data set","contentUrl":"https://data.fz-juelich.de/api/access/datafile/3324"},{"@type":"DataDownload","name":"TSMP_G2A_monthly_precipitation_anomaly_FZJ-IBG3_TSMP_0.1_degree_v1.1996_2016.nc","fileFormat":"application/x-netcdf","contentSize":176102237,"description":"Monthly precipitation anomalies calculated from the TSMP-G2A data set","contentUrl":"https://data.fz-juelich.de/api/access/datafile/3325"}]}