01 Aug 2022
Research article | 01 Aug 2022
Integrated hydrodynamic and machine learning models for compound flooding prediction in a data-scarce estuarine delta
Joko Sampurno et al.
Related subject area
Subject: Time series, machine learning, networks, stochastic processes, extreme events | Topic: Climate, atmosphere, ocean, hydrology, cryosphere, biosphere | Techniques: Big data and artificial intelligencePredicting sea surface temperatures with coupled reservoir computersUsing neural networks to improve simulations in the gray zoneThe blessing of dimensionality for the analysis of climate dataProducing realistic climate data with generative adversarial networksIdentification of droughts and heatwaves in Germany with regional climate networks
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