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Tom Beucler
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Enforcing analytic constraints in neural networks emulating physical systems
T Beucler, M Pritchard, S Rasp, J Ott, P Baldi, P Gentine
Physical Review Letters 126 (9), 098302, 2021
3092021
Interpreting and Stabilizing Machine-learning Parametrizations of Convection
N Brenowitz, T Beucler, M Pritchard, C Bretherton
Journal of the Atmospheric Sciences, 2020
1222020
Achieving conservation of energy in neural network emulators for climate modeling
T Beucler, S Rasp, M Pritchard, P Gentine
2019 International Conference on Machine Learning (Workshop)., 2019
862019
Climate-invariant machine learning
T Beucler, P Gentine, J Yuval, A Gupta, L Peng, J Lin, S Yu, S Rasp, ...
Science Advances 10 (6), eadj7250, 2024
582024
Assessing the potential of deep learning for emulating cloud superparameterization in climate models with real‐geography boundary conditions
G Mooers, M Pritchard, T Beucler, J Ott, G Yacalis, P Baldi, P Gentine
Journal of Advances in Modeling Earth Systems 13 (5), e2020MS002385, 2021
512021
Towards physically-consistent, data-driven models of convection
T Beucler, M Pritchard, P Gentine, S Rasp
Igarss 2020-2020 ieee international geoscience and remote sensing symposium …, 2020
432020
Machine learning for clouds and climate
T Beucler, I Ebert‐Uphoff, S Rasp, M Pritchard, P Gentine
Clouds and their Climatic Impacts: Radiation, Circulation, and Precipitation …, 2023
422023
Moisture‐radiative cooling instability
T Beucler, TW Cronin
Journal of Advances in Modeling Earth Systems 8 (4), 1620-1640, 2016
372016
ClimSim: A large multi-scale dataset for hybrid physics-ML climate emulation
S Yu, W Hannah, L Peng, J Lin, MA Bhouri, R Gupta, B Lütjens, JC Will, ...
Advances in Neural Information Processing Systems 36, 2024
31*2024
Convective dynamics and the response of precipitation extremes to warming in radiative-convective equilibrium
T Abbott, T Cronin, T Beucler
Journal of the Atmospheric Sciences, 2019
302019
Deep learning based cloud cover parameterization for ICON
A Grundner, T Beucler, P Gentine, F Iglesias‐Suarez, MA Giorgetta, ...
Journal of Advances in Modeling Earth Systems 14 (12), e2021MS002959, 2022
272022
Causally‐informed deep learning to improve climate models and projections
F Iglesias‐Suarez, P Gentine, B Solino‐Fernandez, T Beucler, M Pritchard, ...
Journal of Geophysical Research: Atmospheres 129 (4), e2023JD039202, 2024
252024
Non‐Linear Dimensionality Reduction With a Variational Encoder Decoder to Understand Convective Processes in Climate Models
G Behrens, T Beucler, P Gentine, F Iglesias‐Suarez, M Pritchard, V Eyring
Journal of Advances in Modeling Earth Systems 14 (8), e2022MS003130, 2022
252022
A budget for the size of convective self‐aggregation
T Beucler, TW Cronin
Quarterly Journal of the Royal Meteorological Society, 2018
242018
Data-Driven Equation Discovery of a Cloud Cover Parameterization
A Grundner, T Beucler, P Gentine, V Eyring
Journal of Advances in Modeling Earth Systems 16 (e2023MS003763), 2024
212024
A Linear Response Framework for Radiative‐Convective Instability
T Beucler, T Cronin, K Emanuel
Journal of Advances in Modeling Earth Systems 10, 1924-1951, 2018
212018
Deep learning for the parametrization of subgrid processes in climate models
P Gentine, V Eyring, T Beucler
Deep learning for the Earth sciences: A comprehensive approach to remote …, 2021
202021
Comparing storm resolving models and climates via unsupervised machine learning
G Mooers, M Pritchard, T Beucler, P Srivastava, H Mangipudi, L Peng, ...
Scientific Reports 13 (1), 22365, 2023
152023
Enhancing Regional Climate Downscaling through Advances in Machine Learning
N Rampal, S Hobeichi, PB Gibson, J Baño-Medina, G Abramowitz, ...
Artificial Intelligence for the Earth Systems 3 (2), 230066, 2024
142024
Pushing the frontiers in climate modelling and analysis with machine learning
V Eyring, WD Collins, P Gentine, EA Barnes, M Barreiro, T Beucler, ...
Nature Climate Change 14 (9), 916-928, 2024
122024
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Articles 1–20