{"id":3322,"identifier":"JUELICH-DATA/WPRA1F","persistentUrl":"https://doi.org/10.26165/JUELICH-DATA/WPRA1F","protocol":"doi","authority":"10.26165","publisher":"Jülich DATA","publicationDate":"2021-05-31","storageIdentifier":"s3://10.26165/JUELICH-DATA/WPRA1F","datasetVersion":{"id":285,"datasetId":3322,"datasetPersistentId":"doi:10.26165/JUELICH-DATA/WPRA1F","storageIdentifier":"s3://10.26165/JUELICH-DATA/WPRA1F","versionNumber":1,"versionMinorNumber":2,"versionState":"RELEASED","lastUpdateTime":"2022-03-17T06:55:14Z","releaseTime":"2022-03-17T06:55:14Z","createTime":"2022-03-17T06:43:38Z","license":"CC0","termsOfUse":"CC0 Waiver","fileAccessRequest":false,"metadataBlocks":{"citation":{"displayName":"Citation Metadata","fields":[{"typeName":"title","multiple":false,"typeClass":"primitive","value":"Using Long Short-Term Memory networks to connect water table depth anomalies to precipitation anomalies over Europe"},{"typeName":"author","multiple":true,"typeClass":"compound","value":[{"authorName":{"typeName":"authorName","multiple":false,"typeClass":"primitive","value":"Ma, Yueling"},"authorAffiliation":{"typeName":"authorAffiliation","multiple":false,"typeClass":"primitive","value":"Forschungszentrum Jülich"},"authorIdentifierScheme":{"typeName":"authorIdentifierScheme","multiple":false,"typeClass":"controlledVocabulary","value":"ORCID"},"authorIdentifier":{"typeName":"authorIdentifier","multiple":false,"typeClass":"primitive","value":"https://orcid.org/0000-0002-1869-7702"}},{"authorName":{"typeName":"authorName","multiple":false,"typeClass":"primitive","value":"Montzka, Carsten"},"authorAffiliation":{"typeName":"authorAffiliation","multiple":false,"typeClass":"primitive","value":"Forschungszentrum Jülich"}},{"authorName":{"typeName":"authorName","multiple":false,"typeClass":"primitive","value":"Bayat, Bagher"},"authorAffiliation":{"typeName":"authorAffiliation","multiple":false,"typeClass":"primitive","value":"Forschungszentrum Jülich"}},{"authorName":{"typeName":"authorName","multiple":false,"typeClass":"primitive","value":"Kollet, Stefan"},"authorAffiliation":{"typeName":"authorAffiliation","multiple":false,"typeClass":"primitive","value":"Forschungszentrum Jülich"}}]},{"typeName":"datasetContact","multiple":true,"typeClass":"compound","value":[{"datasetContactName":{"typeName":"datasetContactName","multiple":false,"typeClass":"primitive","value":"Ma, Yueling"},"datasetContactAffiliation":{"typeName":"datasetContactAffiliation","multiple":false,"typeClass":"primitive","value":"Forschungszentrum Jülich"},"datasetContactEmail":{"typeName":"datasetContactEmail","multiple":false,"typeClass":"primitive","value":"y.ma@fz-juelich.de"}}]},{"typeName":"dsDescription","multiple":true,"typeClass":"compound","value":[{"dsDescriptionValue":{"typeName":"dsDescriptionValue","multiple":false,"typeClass":"primitive","value":"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."}}]},{"typeName":"subject","multiple":true,"typeClass":"controlledVocabulary","value":["Earth and Environmental Sciences"]},{"typeName":"keyword","multiple":true,"typeClass":"compound","value":[{"keywordValue":{"typeName":"keywordValue","multiple":false,"typeClass":"primitive","value":"Groundwater"}},{"keywordValue":{"typeName":"keywordValue","multiple":false,"typeClass":"primitive","value":"Long Short-Term Memory (LSTM) networks"}},{"keywordValue":{"typeName":"keywordValue","multiple":false,"typeClass":"primitive","value":"Anomalies"}},{"keywordValue":{"typeName":"keywordValue","multiple":false,"typeClass":"primitive","value":"Europe"}}]},{"typeName":"publication","multiple":true,"typeClass":"compound","value":[{"publicationCitation":{"typeName":"publicationCitation","multiple":false,"typeClass":"primitive","value":"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."},"publicationIDType":{"typeName":"publicationIDType","multiple":false,"typeClass":"controlledVocabulary","value":"doi"},"publicationIDNumber":{"typeName":"publicationIDNumber","multiple":false,"typeClass":"primitive","value":"10.5194/hess-25-3555-2021"},"publicationURL":{"typeName":"publicationURL","multiple":false,"typeClass":"primitive","value":"https://doi.org/10.5194/hess-25-3555-2021"}}]},{"typeName":"depositor","multiple":false,"typeClass":"primitive","value":"Ma, Yueling"},{"typeName":"dateOfDeposit","multiple":false,"typeClass":"primitive","value":"2021-05-27"}]},"fzj":{"displayName":"FZJ Metadata","fields":[{"typeName":"institute","multiple":true,"typeClass":"controlledVocabulary","value":["IBG-3"]},{"typeName":"pof4","multiple":true,"typeClass":"controlledVocabulary","value":["Agro-biogeosystems: controls, feedbacks and impact (POF4-2173)"]}]}},"files":[{"description":"Monthly groundwater table depth anomalies generated from the proposed LSTM networks","label":"LSTM_monthly_groundwater_table_depth_anomaly_FZJ-IBG3_LSTM_0.1_degree_v1.1996_2016.nc","restricted":false,"version":1,"datasetVersionId":285,"dataFile":{"id":3323,"persistentId":"","pidURL":"","filename":"LSTM_monthly_groundwater_table_depth_anomaly_FZJ-IBG3_LSTM_0.1_degree_v1.1996_2016.nc","contentType":"application/x-netcdf","filesize":352187741,"description":"Monthly groundwater table depth anomalies generated from the proposed LSTM networks","storageIdentifier":"s3://dataverse:179aecf5617-df3c3cb51f36","rootDataFileId":-1,"checksum":{"type":"SHA-256","value":"a0ac27eb52a9fbffc8620acdb5ba8eebe44ad11daa0001aeaf59a78b4aa8744f"},"creationDate":"2021-05-27"}},{"description":"Monthly groundwater table depth anomalies calculated from the TSMP-G2A data set","label":"TSMP_G2A_monthly_groundwater_table_depth_anomaly_FZJ-IBG3_TSMP_0.1_degree_v1.1996_2016.nc","restricted":false,"version":1,"datasetVersionId":285,"dataFile":{"id":3324,"persistentId":"","pidURL":"","filename":"TSMP_G2A_monthly_groundwater_table_depth_anomaly_FZJ-IBG3_TSMP_0.1_degree_v1.1996_2016.nc","contentType":"application/x-netcdf","filesize":176102237,"description":"Monthly groundwater table depth anomalies calculated from the TSMP-G2A data set","storageIdentifier":"s3://dataverse:179aed0821d-6fdb9c023305","rootDataFileId":-1,"checksum":{"type":"SHA-256","value":"cb307f74a193b7dc06443d50c61357fd50625c8bd8610094ba485309e4c4445f"},"creationDate":"2021-05-27"}},{"description":"Monthly precipitation anomalies calculated from the TSMP-G2A data set","label":"TSMP_G2A_monthly_precipitation_anomaly_FZJ-IBG3_TSMP_0.1_degree_v1.1996_2016.nc","restricted":false,"version":1,"datasetVersionId":285,"dataFile":{"id":3325,"persistentId":"","pidURL":"","filename":"TSMP_G2A_monthly_precipitation_anomaly_FZJ-IBG3_TSMP_0.1_degree_v1.1996_2016.nc","contentType":"application/x-netcdf","filesize":176102237,"description":"Monthly precipitation anomalies calculated from the TSMP-G2A data set","storageIdentifier":"s3://dataverse:179aed1cd19-d3b532480cee","rootDataFileId":-1,"checksum":{"type":"SHA-256","value":"25188351e4f16eac5a147ff03c402b4699183a02ff2cd28940fb2b0effd4da4f"},"creationDate":"2021-05-27"}}],"citation":"Ma, Yueling; Montzka, Carsten; Bayat, Bagher; Kollet, Stefan, 2021, \"Using Long Short-Term Memory networks to connect water table depth anomalies to precipitation anomalies over Europe\", https://doi.org/10.26165/JUELICH-DATA/WPRA1F, Jülich DATA, V1"}}