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20242026
most citedRegularization of ML models for Earth systems by using longer model timesteps

1 citations · 2 across the 4 of their papers we have counts for

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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…