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

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

The lack of high-quality continental-scale groundwater table depth observations necessitates developing an indirect method to produce reliable estimation for water table depth anomalies (wtda) over Europe to facilitate European groundwater management under drought conditions. Long Short-Term Memory...

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Bibliographic Details
Main Authors: Yueling Ma, Carsten Montzka, Bagher Bayat, Stefan Kollet
Format: article
Language:EN
Published: Frontiers Media S.A. 2021
Subjects:
deep learning
Long Short-Term Memory (LSTM) networks
wavelet coherence analysis
groundwater
drought monitoring
Europe
Environmental technology. Sanitary engineering
TD1-1066
Online Access:https://doaj.org/article/3d8f4f9e8f674184a787eabaefb4974c
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