| 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 | 50 | 2021 |
| Neural general circulation models D Kochkov, J Yuval, I Langmore, P Norgaard, J Smith, G Mooers, J Lottes, ... arXiv preprint arXiv:2311.07222, 2023 | 41 | 2023 |
| Neural general circulation models for weather and climate D Kochkov, J Yuval, I Langmore, P Norgaard, J Smith, G Mooers, ... Nature, 1-7, 2024 | 22 | 2024 |
| 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 | 14 | 2024 |
| 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 | 12 | 2023 |
| ClimSim: An open large-scale dataset for training high-resolution physics emulators in hybrid multi-scale climate simulators S Yu, WM Hannah, L Peng, MA Bhouri, R Gupta, J Lin, B Lütjens, JC Will, ... arXiv preprint arXiv:2306.08754, 2023 | 12 | 2023 |
| Generative modeling of atmospheric convection G Mooers, J Tuyls, S Mandt, M Pritchard, TG Beucler Proceedings of the 10th international conference on climate informatics, 98-105, 2020 | 11 | 2020 |
| Temporal changes in the areal coverage of daily extreme precipitation in the Northeastern United States using high-resolution gridded data AT DeGaetano, G Mooers, T Favata Journal of Applied Meteorology and Climatology 59 (3), 551-565, 2020 | 6 | 2020 |
| Neural general circulation models for weather and climate S Hoyer, J Yuval, D Kochkov, I Langmore, P Norgaard, G Mooers, ... AGU Fall Meeting Abstracts 2023, NG31A-06, 2023 | 2 | 2023 |
| Understanding precipitation changes through unsupervised machine learning G Mooers, T Beucler, M Pritchard, S Mandt Environmental Data Science 3, e3, 2024 | 1 | 2024 |
| Understanding Extreme Precipitation Changes through Unsupervised Machine Learning G Mooers, T Beucler, M Pritchard, S Mandt arXiv preprint arXiv:2211.01613, 2022 | 1 | 2022 |
| Analyzing High-Resolution Clouds and Convection using Multi-Channel VAEs H Mangipudi, G Mooers, M Pritchard, T Beucler, S Mandt arXiv preprint arXiv:2112.01221, 2021 | 1 | 2021 |
| Generative large eddy simulations with conditional variational autoencoders SK Mukkavilli, MS Pritchard, KG Pressel, G Mooers, PL Ma, S Mandt AGU Fall Meeting Abstracts 2020, A043-0009, 2020 | 1 | 2020 |
| Comparing storm resolving models and climates via unsupervised machine learning (vol 13, 22365, 2023) G Mooers, M Pritchard, T Beucler, P Srivastava, H Mangipudi, L Peng, ... SCIENTIFIC REPORTS 14 (1), 2024 | | 2024 |
| Author Correction: Comparing storm resolving models and climates via unsupervised machine learning G Mooers, M Pritchard, T Beucler, P Srivastava, H Mangipudi, L Peng, ... Scientific Reports 14, 2024 | | 2024 |
| Improving the Modeling and Analysis of Tropical Convection and Precipitation Through Machine Learning Methods G Mooers University of California, Irvine, 2023 | | 2023 |
| The Water Cycle in a Warmer World through Process Understanding and Climate and Hydrological Modeling. Part III A Cherchi, PA Arias, A Jenney, EM Dougherty 102nd American Meteorological Society Annual Meeting, 2022 | | 2022 |
| Unsupervised Organization of Convective Updrafts in a Latent Space GS Mooers, M Pritchard, TG Beucler, H Mangipudi, P Gentine, S Mandt 102nd American Meteorological Society Annual Meeting, 2022 | | 2022 |
| Withdrawn: Using Secondary Neural Networks to Bias Correct Coupled Neural Network Convective Parameterizations J Lin, N Crawford, PL Ma, G Mooers, D Walling, M Pritchard 102nd American Meteorological Society Annual Meeting, 2022 | | 2022 |
| Unsupervised Organization of Turbulent Updraft Regimes and their Global Response to Warming G Mooers, M Pritchard, P Gentine, S Mandt, T Beucler AGU Fall Meeting Abstracts 2021, NG51A-08, 2021 | | 2021 |
