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20192025
most citedMachine Learning for Stochastic Parameterization: Generative Adversarial Networks in the Lorenz '96 Model

210 citations · 211 across the 3 of their papers we have counts for

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Showing 2022 · stat.APShow all

1 paper · 2 filters

stat.AP2022★ 1 cited

How is model-related uncertainty quantified and reported in different disciplines?

Emily G. Simmonds, Kwaku Peprah Adjei, Christoffer Wold Andersen +40

How do we know how much we know? Quantifying uncertainty associated with our modelling work is the only way we can answer how much we know about any phenomenon. With quantitative s…