World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
85
Citations
28272
World Ranking
742
National Ranking
320

Overview

Pierre Gentine is affiliated with Columbia University in the United States. Their research expertise primarily spans the fields of Environmental Science and Earth and Planetary Sciences, with a focus on several subfields including Global and Planetary Change, Atmospheric Science, Environmental Engineering, Ecology, and Artificial Intelligence.

The scientist's main topics of work involve Climate variability and models, Plant Water Relations and Carbon Dynamics, Meteorological Phenomena and Simulations, Atmospheric and Environmental Gas Dynamics, Remote Sensing in Agriculture, Hydrology and Watershed Management Studies, and Soil Moisture and Remote Sensing.

Gentine has contributed to multiple scientific venues throughout their career. Frequent publication platforms include arXiv (Cornell University), Zenodo (CERN European Organization for Nuclear Research), Nature Communications, Journal of Advances in Modeling Earth Systems, and Scientific Data.

Some of their recent significant papers are:

  • "Soil moisture-atmosphere feedback dominates land carbon uptake variability" (2021), published in Nature
  • "Enforcing Analytic Constraints in Neural Networks Emulating Physical Systems" (2021), published in Physical Review Letters
  • "Heat stored in the Earth system: where does the energy go?" (2020), published in Earth system science data
  • "Atmospheric dryness reduces photosynthesis along a large range of soil water deficits" (2022), published in Nature Communications
  • "Future socio-ecosystem productivity threatened by compound drought-heatwave events" (2023), published in Nature Sustainability

Gentine often collaborates with other researchers. Frequent co-authors include Philippe Ciais, Veronika Eyring, Tom Beucler, Zhu Liu, and Biqing Zhu.

Best Publications

  • The Community Land Model version 5 : description of new features, benchmarking, and impact of forcing uncertainty

    David M. Lawrence;Rosie A. Fisher;Charles D. Koven;Keith W. Oleson

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

    Diego G. Miralles;Pierre Gentine;Sonia I. Seneviratne;Adriaan J. Teuling

  • Deep learning to represent subgrid processes in climate models.

    Stephan Rasp;Michael S. Pritchard;Pierre Gentine

  • Large influence of soil moisture on long-term terrestrial carbon uptake

    Julia K. Green;Sonia I. Seneviratne;Alexis M. Berg;Kirsten L. Findell

  • Land-atmosphere feedbacks exacerbate concurrent soil drought and atmospheric aridity.

    Sha Zhou;Sha Zhou;A. Park Williams;Alexis M. Berg;Benjamin I. Cook;Benjamin I. Cook

  • Could Machine Learning Break the Convection Parameterization Deadlock

    Pierre Gentine;Mike Pritchard;Stephan Rasp;Gael Reinaudi

  • Soil moisture–atmosphere feedback dominates land carbon uptake variability

    Vincent W. Humphrey;Alexis M. Berg;Philippe Ciais;Pierre Gentine

  • Land–Atmosphere Interactions: The LoCo Perspective

    Joseph A. Santanello;Paul A. Dirmeyer;Craig R. Ferguson;Kirsten L. Findell

  • A global spatially contiguous solar-induced fluorescence (CSIF) dataset using neural networks

    Yao Zhang;Joanna Joiner;Seyed Hamed Alemohammad;Sha Zhou

  • Large increase in global storm runoff extremes driven by climate and anthropogenic changes.

    Jiabo Yin;Jiabo Yin;Pierre Gentine;Sha Zhou;Sylvia C. Sullivan

  • Atmospheric dryness reduces photosynthesis along a large range of soil water deficits

    Unknown

  • Projected increases in intensity, frequency, and terrestrial carbon costs of compound drought and aridity events.

    Sha Zhou;Yao Zhang;A. Park Williams;Pierre Gentine

  • Future socio-ecosystem productivity threatened by compound drought–heatwave events

    Unknown

  • Implementing plant hydraulics in the Community Land Model, Version 5

    Daniel Kennedy;Sean Swenson;Keith W. Oleson;David M. Lawrence

  • Global variations in ecosystem-scale isohydricity.

    Alexandra G. Konings;Alexandra G. Konings;Pierre Gentine

  • Enforcing Analytic Constraints in Neural Networks Emulating Physical Systems.

    Tom Beucler;Tom Beucler;Michael Pritchard;Stephan Rasp;Jordan Ott

  • Analysis of evaporative fraction diurnal behaviour

    Pierre Gentine;Dara Entekhabi;Abdelghani Chehbouni;Gilles Boulet

  • The Impact of Anthropogenic Land Use and Land Cover Change on Regional Climate Extremes

    Kirsten L. Findell;Alexis Berg;Pierre Gentine;John P. Krasting

  • Differentiable modelling to unify machine learning and physical models for geosciences

    Unknown

  • Heat stored in the Earth system: where does the energy go?

    Karina von Schuckmann;Lijing Cheng;Matthew D. Palmer;James Hansen

  • Interdependence of climate, soil, and vegetation as constrained by the Budyko curve

    Pierre Gentine;Paolo D'Odorico;Benjamin R. Lintner;Gajan Sivandran

  • Probability of afternoon precipitation in eastern United States and Mexico enhanced by high evaporation

    Kirsten L. Findell;Pierre Gentine;Benjamin R. Lintner;Christopher Kerr

  • Sensitivity of grassland productivity to aridity controlled by stomatal and xylem regulation

    A. G. Konings;A. G. Konings;A. P. Williams;P. Gentine

  • Deep Learning to Represent Sub-grid Processes in Climate Models

    Stephan Rasp;Michael S. Pritchard;Pierre Gentine

Frequent Co-Authors

Benjamin R. Lintner
Benjamin R. Lintner Rutgers, The State University of New Jersey
Kirsten L. Findell
Kirsten L. Findell Geophysical Fluid Dynamics Laboratory
Yao Zhang
Yao Zhang Peking University
Sha Zhou
Sha Zhou Columbia University
Diego G. Miralles
Diego G. Miralles Ghent University
Filipe Aires
Filipe Aires Centre national de la recherche scientifique, CNRS
Benjamin I. Cook
Benjamin I. Cook Goddard Institute for Space Studies
Markus Reichstein
Markus Reichstein Max Planck Institute for Biogeochemistry

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