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cs.LG2024★ 1 cited
Defining error accumulation in ML atmospheric simulators
Raghul Parthipan, Mohit Anand, Hannah M. Christensen +2
Machine learning (ML) has recently shown significant promise in modelling atmospheric systems, such as the weather. Many of these ML models are autoregressive, and error accumulati…
cs.LG2024
Machine Learning for Stochastic Parametrisation
Hannah M. Christensen, Salah Kouhen, Greta Miller +1
Atmospheric models used for weather and climate prediction are traditionally formulated in a deterministic manner. In other words, given a particular state of the resolved scale va…