43 citations · 119 across the 7 of their papers we have counts for
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physics.ao-ph2023★ 43 cited
Causally-informed deep learning to improve climate models and projections
Fernando Iglesias-Suarez, Pierre Gentine, Breixo Solino-Fernandez +4
Climate models are essential to understand and project climate change, yet long-standing biases and uncertainties in their projections remain. This is largely associated with the r…
physics.ao-ph2021★ 9 cited
Causal inference for process understanding in Earth sciences
Adam Massmann, Pierre Gentine, Jakob Runge
There is growing interest in the study of causal methods in the Earth sciences. However, most applications have focused on causal discovery, i.e. inferring the causal relationships…