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Groundwater Forecasting Under Missing Data Uncertainty: A Multi-Horizon Assessment Using Hyperbolic Deep Learning

2026-07-04

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<title>Abstract</title> <p>Groundwater resources are increasingly exposed to climatic variability, anthropogenic pressure, and unsustainable abstraction, creating an urgent need for reliable groundwater level (GWL) forecasting frameworks that can support adaptive aquifer management. Despite recent advances in deep learning, accurate multi-horizon groundwater forecasting remains hindered by two persistent limitati...

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Literature Corpus work: c6442b7b-940d-5f88-8a3c-ead58b5a0c7b
DOI: 10.21203/rs.3.rs-10077915/v1

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