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1,921 to 1,924 of 1,924 Results

Using Long Short-Term Memory networks to connect water table depth anomalies to precipitation anomalies over Europe May 31, 2021 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 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 tim...
LSTM_monthly_groundwater_table_depth_anomaly_FZJ-IBG3_LSTM_0.1_degree_v1.1996_2016.nc May 31, 2021 - Using Long Short-Term Memory networks to connect water table depth anomalies to precipitation anomalies over Europe Network Common Data Form - 335.9 MB - SHA-256: a0ac27eb52a9fbffc8620acdb5ba8eebe44ad11daa0001aeaf59a78b4aa8744f Monthly groundwater table depth anomalies generated from the proposed LSTM networks
TSMP_G2A_monthly_groundwater_table_depth_anomaly_FZJ-IBG3_TSMP_0.1_degree_v1.1996_2016.nc May 31, 2021 - Using Long Short-Term Memory networks to connect water table depth anomalies to precipitation anomalies over Europe Network Common Data Form - 167.9 MB - SHA-256: cb307f74a193b7dc06443d50c61357fd50625c8bd8610094ba485309e4c4445f Monthly groundwater table depth anomalies calculated from the TSMP-G2A data set
TSMP_G2A_monthly_precipitation_anomaly_FZJ-IBG3_TSMP_0.1_degree_v1.1996_2016.nc May 31, 2021 - Using Long Short-Term Memory networks to connect water table depth anomalies to precipitation anomalies over Europe Network Common Data Form - 167.9 MB - SHA-256: 25188351e4f16eac5a147ff03c402b4699183a02ff2cd28940fb2b0effd4da4f Monthly precipitation anomalies calculated from the TSMP-G2A data set

Using Long Short-Term Memory networks to connect water table depth anomalies to precipitation anomalies over Europe

May 31, 2021

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

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 tim...

LSTM_monthly_groundwater_table_depth_anomaly_FZJ-IBG3_LSTM_0.1_degree_v1.1996_2016.nc

May 31, 2021 - Using Long Short-Term Memory networks to connect water table depth anomalies to precipitation anomalies over Europe

Network Common Data Form - 335.9 MB - SHA-256: a0ac27eb52a9fbffc8620acdb5ba8eebe44ad11daa0001aeaf59a78b4aa8744f

Monthly groundwater table depth anomalies generated from the proposed LSTM networks

TSMP_G2A_monthly_groundwater_table_depth_anomaly_FZJ-IBG3_TSMP_0.1_degree_v1.1996_2016.nc

May 31, 2021 - Using Long Short-Term Memory networks to connect water table depth anomalies to precipitation anomalies over Europe

Network Common Data Form - 167.9 MB - SHA-256: cb307f74a193b7dc06443d50c61357fd50625c8bd8610094ba485309e4c4445f

Monthly groundwater table depth anomalies calculated from the TSMP-G2A data set

TSMP_G2A_monthly_precipitation_anomaly_FZJ-IBG3_TSMP_0.1_degree_v1.1996_2016.nc

May 31, 2021 - Using Long Short-Term Memory networks to connect water table depth anomalies to precipitation anomalies over Europe

Network Common Data Form - 167.9 MB - SHA-256: 25188351e4f16eac5a147ff03c402b4699183a02ff2cd28940fb2b0effd4da4f

Monthly precipitation anomalies calculated from the TSMP-G2A data set

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