| Spontaneous aggregation of convective storms C Muller, D Yang, G Craig, T Cronin, B Fildier, JO Haerter, C Hohenegger, ... Annual Review of Fluid Mechanics 54, 133-157, 2022 | 43 | 2022 |
| Implicit learning of convective organization explains precipitation stochasticity S Shamekh, KD Lamb, Y Huang, P Gentine PNAS, 2022 | 24 | 2022 |
| How do ocean warm anomalies favor the aggregation of deep convective clouds? S Shamekh, C Muller, JP Duvel, F d’Andrea Journal of the Atmospheric Sciences 77 (11), 3733-3745, 2020 | 23 | 2020 |
| Self‐aggregation of convective clouds with interactive sea surface temperature S Shamekh, C Muller, JP Duvel, F d'Andrea Journal of Advances in Modeling Earth Systems 12 (11), e2020MS002164, 2020 | 21 | 2020 |
| Significant amplification of instantaneous extreme precipitation with convective self‐aggregation NA Da Silva, C Muller, S Shamekh, B Fildier Journal of Advances in Modeling Earth Systems 13 (11), e2021MS002607, 2021 | 6 | 2021 |
| 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 |
| 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 | 3 | 2024 |
| Learning atmospheric boundary layer turbulence S Shamekh, P Gentine Authorea Preprints, 2023 | 1 | 2023 |
| Systematically generating hierarchies of machine-learning models, from equation discovery to deep neural networks (core science keynote) TG Beucler, A Grundner, R Lagerquist, S Shamekh 103rd AMS Annual Meeting, 2023 | 1 | 2023 |
| Learning Machine Learning with Lorenz-96 D Balwada, R Abernathey, S Acharya, A Adcroft, J Brener, V Balaji, ... Authorea Preprints, 2023 | | 2023 |
| Large and Increasing Soil Moisture Impact on West European Heatwaves Y Huang, X Lian, J Liu, O Skulovich, S Shamekh, P Gentine AGU23, 2023 | | 2023 |
| Improvement of the radiation parameterization of ICON by including subgrid-scale cloud properties using machine learning K Hafner, F Iglesias-Suarez, S Shamekh, P Gentine, R Pincus, GA Marco, ... AGU23, 2023 | | 2023 |
| Physics to machine learning, and machine learning back to physics P Gentine, S Shamekh, A Anderson-Connolly, T Beucler, V Eyring, ... AGU Fall Meeting Abstracts 2022, NG15A-05, 2022 | | 2022 |
| Low-dimensional representation of turbulence across planetary boundary layer regimes P Gentine, S Shamekh AGU Fall Meeting Abstracts 2022, A43C-03, 2022 | | 2022 |
| Spontaneous aggregation of convective storms D Yang, G Craig, T Cronin, B Fildier, J Haerter, C Hohenegger, B Mapes, ... EGU22, 2022 | | 2022 |
| How does convective self-aggregation affect precipitation extremes? N Da Silva, S Shamekh, C Muller, B Fildier EGU General Assembly Conference Abstracts, EGU21-5216, 2021 | | 2021 |
| How does the diurnal cycle of incoming solar radiation affect self-aggregation of convective clouds? S Shamekh, C Muller, JP Duvel, C Hohenegger, F D'Andrea EGU General Assembly Conference Abstracts, EGU21-8205, 2021 | | 2021 |
| The impact of sea surface temperature on the aggregation of deep convective clouds S Shamekh Université Paris sciences et lettres, 2020 | | 2020 |
| Impact of an Interactive SST on the Convective Aggregation Process S Shamekh, C Muller, JP Duvel, F D'Andrea EGU General Assembly Conference Abstracts, 14941, 2020 | | 2020 |
| The impact of SST anomalies on the aggregation of convective clouds. S Shamekh, C Muller, JP Duvel, F D'Andrea Geophysical Research Abstracts 21, 2019 | | 2019 |
