Integrated hydrodynamic and machine learning models for compound flooding prediction in a data-scarce estuarine delta
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Subject: Time series, machine learning, networks, stochastic processes, extreme events | Topic: Climate, atmosphere, ocean, hydrology, cryosphere, biosphere | Techniques: Big data and artificial intelligenceData-driven methods to estimate the committor function in conceptual ocean modelsDownscaling of surface wind forecasts using convolutional neural networksExploring meteorological droughts' spatial patterns across Europe through complex network theoryPredicting sea surface temperatures with coupled reservoir computersUsing neural networks to improve simulations in the gray zone
Nonlin. Processes Geophys., 30, 195–216,2023
Nonlin. Processes Geophys. Discuss.,2023
Revised manuscript accepted for NPG
Nonlin. Processes Geophys., 30, 167–181,2023
Nonlin. Processes Geophys., 29, 255–264,2022
Nonlin. Processes Geophys., 29, 171–181,2022
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