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20192022
most citedMachine Learning for Stochastic Parameterization: Generative Adversarial Networks in the Lorenz '96 Model

210 citations · 274 across the 4 of their papers we have counts for

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cs.LG2022

Using Probabilistic Machine Learning to Better Model Temporal Patterns in Parameterizations: a case study with the Lorenz 96 model

Raghul Parthipan, Hannah M. Christensen, J. Scott Hosking +1

The modelling of small-scale processes is a major source of error in climate models, hindering the accuracy of low-cost models which must approximate such processes through paramet…