The deadline to submit a session, town hall, or pre-conference workshop proposal for AGU25 has passed. Please search for and review proposed sessions below. Please note this site is frozen as of 4/29/25 and will not reflect any changes to proposals made after this date.


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Abstract: Exploring the Potential and Limitations of Machine Learning for Forecasting Groundwater Recharge from Meteorological Time Series (AGU25)

Exploring the Potential and Limitations of Machine Learning for Forecasting Groundwater Recharge from Meteorological Time Series

Florian Lam1, Simon Damm2, Asja Fischer2 and Thomas Heinze1, (1)Ruhr-University Bochum, Hydrogeology and Environmental Geology, Bochum, Germany, (2)Ruhr-University Bochum, Machine Learning, Bochum, Germany