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Software . 2022
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mgomezo12/GW_forecasting_ML: Groundwater level forecasting with deep learning to evaluate climate change impacts

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 23 Aug 2022Publisher:Zenodo
Authors: Gómez, Mariana;

doi: 10.5281/zenodo.7017152 , 10.5281/zenodo.7017151

mgomezo12/GW_forecasting_ML: Groundwater level forecasting with deep learning to evaluate climate change impacts

Abstract

The current study applies a convolutional neural network (CNN) to estimate future trends in groundwater levels (GWL) caused by climate change in 505 wells in Lower Saxony, northern Germany. The groundwater level observations are provided by the local authority of the federal state of Lower Saxony. The meteorological information is available free of charge by DWD ( Deutsche Wetterdienst )

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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