| Stable machine-learning parameterization of subgrid processes for climate modeling at a range of resolutions J Yuval, PA O’Gorman Nature communications 11 (1), 3295, 2020 | 203 | 2020 |
| Use of neural networks for stable, accurate and physically consistent parameterization of subgrid atmospheric processes with good performance at reduced precision J Yuval, PA O'Gorman, CN Hill Geophysical Research Letters 48 (6), e2020GL091363, 2021 | 99 | 2021 |
| Eddy activity sensitivity to changes in the vertical structure of baroclinicity J Yuval, Y Kaspi Journal of the Atmospheric Sciences 73 (4), 1709-1726, 2016 | 38 | 2016 |
| The intensification of winter mid-latitude storm tracks in the Southern Hemisphere R Chemke, Y Ming, J Yuval Nature climate change 12 (6), 553-557, 2022 | 31 | 2022 |
| The relation between the seasonal changes in jet characteristics and the Pacific midwinter minimum in eddy activity J Yuval, H Afargan, Y Kaspi Geophysical Research Letters 45 (18), 9995-10002, 2018 | 29 | 2018 |
| Dynamics of elastic interactions in soft and biological matter J Yuval, SA Safran Physical Review E 87 (4), 042703, 2013 | 28 | 2013 |
| 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 | 25 | 2024 |
| Non‐local parameterization of atmospheric subgrid processes with neural networks P Wang, J Yuval, PA O’Gorman Journal of Advances in Modeling Earth Systems 14 (10), e2022MS002984, 2022 | 24 | 2022 |
| Eddy activity response to global warming–like temperature changes J Yuval, Y Kaspi Journal of Climate 33 (4), 1381-1404, 2020 | 24 | 2020 |
| Response of extreme precipitation to uniform surface warming in quasi-global aquaplanet simulations at high resolution PA O’Gorman, Z Li, WR Boos, J Yuval Philosophical Transactions of the Royal Society A 379 (2195), 20190543, 2021 | 16 | 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 | 15 | 2023 |
| Stable machine-learning parameterization of subgrid processes for climate modeling at a range of resolutions, Nat. Commun., 11, 3295 J Yuval, PA O’Gorman | 15 | 2020 |
| The effect of vertical baroclinicity concentration on atmospheric macroturbulence scaling relations J Yuval, Y Kaspi Journal of the Atmospheric Sciences 74 (5), 1651-1667, 2017 | 15 | 2017 |
| Neural‐network parameterization of subgrid momentum transport in the atmosphere J Yuval, PA O’Gorman Journal of Advances in Modeling Earth Systems 15 (4), e2023MS003606, 2023 | 12 | 2023 |
| Human-induced weakening of the Northern Hemisphere tropical circulation R Chemke, J Yuval Nature 617 (7961), 529-532, 2023 | 10 | 2023 |
| Eddy sensitivity to jet characteristics J Yuval, Y Kaspi Journal of the Atmospheric Sciences 75 (5), 1371-1383, 2018 | 10 | 2018 |
| 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 | 5 | 2023 |
| Improving cardiovascular disease prediction using automated coronary artery calcium scoring from existing chest CTs N Barda, N Dagan, A Stemmer, J Yuval, E Bachmat, E Elnekave, ... Journal of Digital Imaging 35 (4), 962-969, 2022 | 5 | 2022 |
| The intensification of winter mid-latitude storm tracks in the Southern Hemisphere. Nat. Climate Change, 12, 553–557 R Chemke, Y Ming, J Yuval | 5 | 2022 |
| Optimizing testing policies for detecting COVID-19 outbreaks J Yuval, M Nitzan, NR Tannenbaum, B Barak arXiv preprint arXiv:2007.04827, 2020 | 4 | 2020 |
