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1,881 to 1,890 of 1,898 Results

LSTM_TL_RD6_monthly_groundwater_table_depth_anomaly_FZJ-IBG3_LSTM_TL_0.1_degree_v1.1981_2020.nc Dec 14, 2021 - Advancing AI-based pan-European groundwater monitoring Network Common Data Form - 639.7 MB - SHA-256: c582ead1d144681750a6b0435c338cd8eb99f473440f30d8704c41a9f08cfb2c Reconstructed European monthly water table depth anomaly (wtd_a) data RD6, obtained by LSTM-TL with ERA5 Land precipitation anomalies (pr_a) and GLEAM soil moisture anomalies (θ_a) as input
obs_averaged_monthly_precipitation_anomaly_FZJ-IBG3_0.1_degree_v1.1996_2016.nc Dec 14, 2021 - Advancing AI-based pan-European groundwater monitoring Network Common Data Form - 167.9 MB - SHA-256: d79a0dbb404e140e6777f2c0404d05ac3d1c91d263813741a1af0d1f57bd829a Input averaged monthly precipitation anomalies (pr_a) from observational datasets for the period 1996-2016
obs_averaged_monthly_soil_moisture_anomaly_FZJ-IBG3_0.1_degree_v1.1996_2016.nc Dec 14, 2021 - Advancing AI-based pan-European groundwater monitoring Network Common Data Form - 167.9 MB - SHA-256: 3473241cdc8d38c631f496de78817381eafe258d35f2c73aa8b1570fdce97765 Input averaged monthly soil moisture anomalies (θ_a) from observational datasets for the period 1996-2016
LSTM_E1_2_monthly_groundwater_table_depth_anomaly_FZJ-IBG3_LSTM_0.1_degree_v1.1996_2016.nc Dec 13, 2021 - An Indirect Approach Based on Long Short-Term Memory Networks to Estimate Groundwater Table Depth Anomalies Across Europe With an Application for Drought Analysis Network Common Data Form - 167.9 MB - SHA-256: 9ff63866d5dd8fda2554928f14414f952e705a4febed42a6b24f8c263f37e20d Monthly water table depth anomalies generated from the proposed LSTM networks of E1.2 (evapotranspiration anomaly)
LSTM_E1_3_monthly_groundwater_table_depth_anomaly_FZJ-IBG3_LSTM_0.1_degree_v1.1996_2016.nc Dec 13, 2021 - An Indirect Approach Based on Long Short-Term Memory Networks to Estimate Groundwater Table Depth Anomalies Across Europe With an Application for Drought Analysis Network Common Data Form - 167.9 MB - SHA-256: b555722ae86359273a47c0859629ae89915fd4c1b19e4cb5c082d1fcfe63535c Monthly water table depth anomalies generated from the proposed LSTM networks of E1.3 (soil moisture anomaly)
LSTM_E1_4_monthly_groundwater_table_depth_anomaly_FZJ-IBG3_LSTM_0.1_degree_v1.1996_2016.nc Dec 13, 2021 - An Indirect Approach Based on Long Short-Term Memory Networks to Estimate Groundwater Table Depth Anomalies Across Europe With an Application for Drought Analysis Network Common Data Form - 167.9 MB - SHA-256: 1ced5300bd9667c97f4df42dd4e90a9cb3d169c0d5e250f62b060e6b64652506 Monthly water table depth anomalies generated from the proposed LSTM networks of E1.4 (precipitation anomaly and evapotranspiration anomaly)
LSTM_E1_5_monthly_groundwater_table_depth_anomaly_FZJ-IBG3_LSTM_0.1_degree_v1.1996_2016.nc Dec 13, 2021 - An Indirect Approach Based on Long Short-Term Memory Networks to Estimate Groundwater Table Depth Anomalies Across Europe With an Application for Drought Analysis Network Common Data Form - 167.9 MB - SHA-256: a79d79d6bef3880a62d80027442b6633943627c73f67b47149778081bde4b442 Monthly water table depth anomalies generated from the proposed LSTM networks of E1.5 (precipitation anomaly and soil moisture anomaly)
LSTM_E1_6_monthly_groundwater_table_depth_anomaly_FZJ-IBG3_LSTM_0.1_degree_v1.1996_2016.nc Dec 13, 2021 - An Indirect Approach Based on Long Short-Term Memory Networks to Estimate Groundwater Table Depth Anomalies Across Europe With an Application for Drought Analysis Network Common Data Form - 167.9 MB - SHA-256: c467a57278ff013e20c4f22fa7163d9f3bec5c372177cd94170dd480a4e3958e Monthly water table depth anomalies generated from the proposed LSTM networks of E1.6 (evapotranspiration anomaly and soil moisture anomaly)
LSTM_E1_7_monthly_groundwater_table_depth_anomaly_FZJ-IBG3_LSTM_0.1_degree_v1.1996_2016.nc Dec 13, 2021 - An Indirect Approach Based on Long Short-Term Memory Networks to Estimate Groundwater Table Depth Anomalies Across Europe With an Application for Drought Analysis Network Common Data Form - 167.9 MB - SHA-256: 16ee2fe91b1129b2a79cc76f21d53d62bb566fd33b7d6d8ef8559748e8aadf04 Monthly water table depth anomalies generated from the proposed LSTM networks of E1.7 (precipitation anomaly, evapotranspiration anomaly and soil moisture anomaly)
LSTM_E2_1_monthly_groundwater_table_depth_anomaly_FZJ-IBG3_LSTM_0.1_degree_v1.1996_2016.nc Dec 13, 2021 - An Indirect Approach Based on Long Short-Term Memory Networks to Estimate Groundwater Table Depth Anomalies Across Europe With an Application for Drought Analysis Network Common Data Form - 167.9 MB - SHA-256: b7ec5b5accae616765f768c0becd8e2ad6fab4eb1daaaaee9d0af7ee64cdc357 Monthly water table depth anomalies generated from the proposed LSTM networks of E2.1 (precipitation anomaly, soil moisture anomaly and scaled yearly averaged snow water equivalent)

LSTM_TL_RD6_monthly_groundwater_table_depth_anomaly_FZJ-IBG3_LSTM_TL_0.1_degree_v1.1981_2020.nc

Dec 14, 2021 - Advancing AI-based pan-European groundwater monitoring

Network Common Data Form - 639.7 MB - SHA-256: c582ead1d144681750a6b0435c338cd8eb99f473440f30d8704c41a9f08cfb2c

Reconstructed European monthly water table depth anomaly (wtd_a) data RD6, obtained by LSTM-TL with ERA5 Land precipitation anomalies (pr_a) and GLEAM soil moisture anomalies (θ_a) as input

obs_averaged_monthly_precipitation_anomaly_FZJ-IBG3_0.1_degree_v1.1996_2016.nc

Dec 14, 2021 - Advancing AI-based pan-European groundwater monitoring

Network Common Data Form - 167.9 MB - SHA-256: d79a0dbb404e140e6777f2c0404d05ac3d1c91d263813741a1af0d1f57bd829a

Input averaged monthly precipitation anomalies (pr_a) from observational datasets for the period 1996-2016

obs_averaged_monthly_soil_moisture_anomaly_FZJ-IBG3_0.1_degree_v1.1996_2016.nc

Dec 14, 2021 - Advancing AI-based pan-European groundwater monitoring

Network Common Data Form - 167.9 MB - SHA-256: 3473241cdc8d38c631f496de78817381eafe258d35f2c73aa8b1570fdce97765

Input averaged monthly soil moisture anomalies (θ_a) from observational datasets for the period 1996-2016

LSTM_E1_2_monthly_groundwater_table_depth_anomaly_FZJ-IBG3_LSTM_0.1_degree_v1.1996_2016.nc

Dec 13, 2021 - An Indirect Approach Based on Long Short-Term Memory Networks to Estimate Groundwater Table Depth Anomalies Across Europe With an Application for Drought Analysis

Network Common Data Form - 167.9 MB - SHA-256: 9ff63866d5dd8fda2554928f14414f952e705a4febed42a6b24f8c263f37e20d

Monthly water table depth anomalies generated from the proposed LSTM networks of E1.2 (evapotranspiration anomaly)

LSTM_E1_3_monthly_groundwater_table_depth_anomaly_FZJ-IBG3_LSTM_0.1_degree_v1.1996_2016.nc

Dec 13, 2021 - An Indirect Approach Based on Long Short-Term Memory Networks to Estimate Groundwater Table Depth Anomalies Across Europe With an Application for Drought Analysis

Network Common Data Form - 167.9 MB - SHA-256: b555722ae86359273a47c0859629ae89915fd4c1b19e4cb5c082d1fcfe63535c

Monthly water table depth anomalies generated from the proposed LSTM networks of E1.3 (soil moisture anomaly)

LSTM_E1_4_monthly_groundwater_table_depth_anomaly_FZJ-IBG3_LSTM_0.1_degree_v1.1996_2016.nc

Dec 13, 2021 - An Indirect Approach Based on Long Short-Term Memory Networks to Estimate Groundwater Table Depth Anomalies Across Europe With an Application for Drought Analysis

Network Common Data Form - 167.9 MB - SHA-256: 1ced5300bd9667c97f4df42dd4e90a9cb3d169c0d5e250f62b060e6b64652506

Monthly water table depth anomalies generated from the proposed LSTM networks of E1.4 (precipitation anomaly and evapotranspiration anomaly)

LSTM_E1_5_monthly_groundwater_table_depth_anomaly_FZJ-IBG3_LSTM_0.1_degree_v1.1996_2016.nc

Dec 13, 2021 - An Indirect Approach Based on Long Short-Term Memory Networks to Estimate Groundwater Table Depth Anomalies Across Europe With an Application for Drought Analysis

Network Common Data Form - 167.9 MB - SHA-256: a79d79d6bef3880a62d80027442b6633943627c73f67b47149778081bde4b442

Monthly water table depth anomalies generated from the proposed LSTM networks of E1.5 (precipitation anomaly and soil moisture anomaly)

LSTM_E1_6_monthly_groundwater_table_depth_anomaly_FZJ-IBG3_LSTM_0.1_degree_v1.1996_2016.nc

Dec 13, 2021 - An Indirect Approach Based on Long Short-Term Memory Networks to Estimate Groundwater Table Depth Anomalies Across Europe With an Application for Drought Analysis

Network Common Data Form - 167.9 MB - SHA-256: c467a57278ff013e20c4f22fa7163d9f3bec5c372177cd94170dd480a4e3958e

Monthly water table depth anomalies generated from the proposed LSTM networks of E1.6 (evapotranspiration anomaly and soil moisture anomaly)

LSTM_E1_7_monthly_groundwater_table_depth_anomaly_FZJ-IBG3_LSTM_0.1_degree_v1.1996_2016.nc

Dec 13, 2021 - An Indirect Approach Based on Long Short-Term Memory Networks to Estimate Groundwater Table Depth Anomalies Across Europe With an Application for Drought Analysis

Network Common Data Form - 167.9 MB - SHA-256: 16ee2fe91b1129b2a79cc76f21d53d62bb566fd33b7d6d8ef8559748e8aadf04

Monthly water table depth anomalies generated from the proposed LSTM networks of E1.7 (precipitation anomaly, evapotranspiration anomaly and soil moisture anomaly)

LSTM_E2_1_monthly_groundwater_table_depth_anomaly_FZJ-IBG3_LSTM_0.1_degree_v1.1996_2016.nc

Dec 13, 2021 - An Indirect Approach Based on Long Short-Term Memory Networks to Estimate Groundwater Table Depth Anomalies Across Europe With an Application for Drought Analysis

Network Common Data Form - 167.9 MB - SHA-256: b7ec5b5accae616765f768c0becd8e2ad6fab4eb1daaaaee9d0af7ee64cdc357

Monthly water table depth anomalies generated from the proposed LSTM networks of E2.1 (precipitation anomaly, soil moisture anomaly and scaled yearly averaged snow water equivalent)

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