Gentine, Pierre

Land–atmospheric feedbacks during droughts and heatwaves: state of the science and current challenges

Miralles, D. G., Gentine, P., Seneviratne, S. I., & Teuling, A. J. (2019) · Annals of the New York Academy of Sciences

Hydrology and Drought AnalysisClimate variability and models

Cited by 1,080

Deep learning to represent subgrid processes in climate models

Rasp, S., Pritchard, M. S., & Gentine, P. (2018) · Proceedings of the National Academy of Sciences

Meteorological Phenomena and SimulationsClimate variability and models

Cited by 1,044

Could Machine Learning Break the Convection Parameterization Deadlock?

Gentine, P., Pritchard, M., Rasp, S., Reinaudi, G., & Yacalis, G. (2018) · Geophysical Research Letters

Meteorological Phenomena and SimulationsClimate variability and models

Cited by 497

Enforcing Analytic Constraints in Neural Networks Emulating Physical Systems

Beucler, T., Pritchard, M., Rasp, S., Ott, J., Baldi, P., & Gentine, P. (2021) · Physical Review Letters

Model Reduction and Neural NetworksNeural Networks and Applications

Cited by 451

Physics‐Constrained Machine Learning of Evapotranspiration

Zhao, W. L., Gentine, P., Reichstein, M., Zhang, Y., Zhou, S., Wen, Y., Lin, C., Li, X., & Qiu, G. Y. (2019) · Geophysical Research Letters

Plant Water Relations and Carbon DynamicsHydrological Forecasting Using AI

Cited by 315

Emergent constraints on equilibrium climate sensitivity in CMIP5: do they hold for CMIP6?

Schlund, M., Lauer, A., Gentine, P., Sherwood, S. C., & Eyring, V. (2020) · Earth System Dynamics

Climate variability and modelsMeteorological Phenomena and Simulations

Cited by 178