| Benchmarking of machine learning ocean subgrid parameterizations in an idealized model A Ross, Z Li, P Perezhogin, C Fernandez‐Granda, L Zanna Journal of Advances in Modeling Earth Systems 15 (1), 2023 | 64 | 2023 |
| Response of vertical velocities in extratropical precipitation extremes to climate change Z Li, PA O’Gorman Journal of Climate 33 (16), 7125-7139, 2020 | 51 | 2020 |
| Lightning enhancement in moist convection with smoke‐laden air advected from Australian wildfires Y Liu, E Williams, Z Li, A Guha, J LaPierre, M Stock, S Heckman, Y Zhang, ... Geophysical Research Letters 48 (11), e2020GL092355, 2021 | 26 | 2021 |
| Quantitative attribution of vertical motion responsible for summer heavy rainfall over North China Y Zhao, L Deng, Z Li, Y Wang Journal of Geophysical Research: Atmospheres 127 (2), e2021JD035765, 2022 | 23 | 2022 |
| 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 | 17 | 2021 |
| Neural Networks as Geometric Chaotic Maps Z Li, S Ravela IEEE Transactions on Neural Networks and Learning Systems, 2021 | 9 | 2021 |
| pyqg/pyqg: v0. 7.2. Zenodo R Abernathey, CB Rocha, A Ross, M Jansen, Z Li, FJ Poulin | 5 | 2022 |
| Learn like the pro: Norms from theory to size neural computation M Trautner, Z Li, S Ravela arXiv preprint arXiv:2106.11409, 2021 | 4 | 2021 |
| On Neural Learnability of Chaotic Dynamics Z Li, S Ravela arXiv preprint arXiv:1912.05081, 2019 | 4 | 2019 |
| Tropical precipitation clusters as islands on a rough water‐vapor topography Z Li, PA O'Gorman, DH Rothman Quarterly Journal of the Royal Meteorological Society 148 (742), 403-417, 2022 | 2 | 2022 |
| The Learnability of Feedforward Neural Networks in Dissipative Chaotic Dynamical Systems Z Li, S Ravela AGU Fall Meeting Abstracts 2019, NG21B-0952, 2019 | 2 | 2019 |
| Informative Learning: A Nonlinear Dynamical Systems Approach to Deep Learning S Ravela, S Reilly, Z Li, AK Dwivedi AGU Fall Meeting Abstracts 2019, NG14A-01, 2019 | 1 | 2019 |
| Learning Machine Learning with Lorenz-96 D Balwada, R Abernathey, S Acharya, A Adcroft, J Brener, V Balaji, ... Journal of Open Source Education 7 (82), 241, 2024 | | 2024 |
| Learning Machine Learning with Lorenz-96 D Balwada, R Abernathey, S Acharya, A Adcroft, J Brener, V Balaji, ... Authorea Preprints, 2023 | | 2023 |
| Leveraging Interpretable Machine Learning for Climate Physics L Zanna, A Ross, P Perezhogin, C Fernandez-Granda, Z Li APS March Meeting Abstracts 2023, W53. 001, 2023 | | 2023 |
| A Conceptual Model for Tropical Convective Organization Z Li, P O'Gorman Authorea Preprints, 2022 | | 2022 |
| Dynamic and thermodynamic contributions to changes in precipitation extremes in quasi-global simulations at high resolution P O'Gorman, Z Li, W Boos, J Yuval AGU Fall Meeting Abstracts 2021, A54G-06, 2021 | | 2021 |
| Scaling of Rainfall Clusters in the Tropics Z Li, PA O'Gorman, D Rothman AGU Fall Meeting Abstracts 2019, U14C-05, 2019 | | 2019 |
| Asymmetry of the Distribution of Vertical Velocities in Moist Macroturbulence M Kohl, PA O'Gorman, Z Li 22nd Conference on Atmospheric and Oceanic Fluid Dynamics, 2019 | | 2019 |
| Quasi-Geostrophic Analysis of Changes in Vertical Velocities in Extratropical Precipitation Extremes Z Li, PA O'Gorman AGU Fall Meeting Abstracts 2018, A33B-04, 2018 | | 2018 |
Paul O'GormanProfessor of Atmospheric Science, MITVerifisert e-postadresse på mit.edu