activity
20122023
most citedCombining data assimilation and machine learning to emulate a dynamical model from sparse and noisy observations: a case study with the Lorenz 96 model

206 citations · 429 across the 12 of their papers we have counts for

collaborators
Showing 2023 · physics.comp-phShow all

1 paper · 2 filters

physics.comp-ph2023★ 3 cited

Parameter sensitivity analysis of a sea ice melt pond parametrisation and its emulation using neural networks

Simon Driscoll, Alberto Carrassi, Julien Brajard +3

Accurate simulation of sea ice is critical for predictions of future Arctic sea ice loss, looming climate change impacts, and more. A key feature in Arctic sea ice is the formation…