HelioWebPierre Gentine
flowchart
A[Pierre Gentine]
AC["Associated Concepts (25)"]
AW["Authored Works (49)"]
CA["Linked Co-Authors (60)"]
CI["Linked Collaborating Institutions (52)"]
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click CA "#co-authors"
click CI "#collaborating-institutions"
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- ORCiD
- https://orcid.org/0000-0002-0845-8345
- OpenAlex ID
- https://openalex.org/A5061588829 (API record)
Associated Concepts [?]
- Physics
- Geology
- Geography
- Environmental science
- Biology
- Ecology
- Meteorology
- Atmospheric sciences
- Engineering
- Thermodynamics
- Computer science
- Chemistry
- Climatology
- Oceanography
- Quantum mechanics
- Mathematics
- Climate change
- Organic chemistry
- Materials science
- Medicine
- Ecosystem
- Aerospace engineering
- Botany
- Geotechnical engineering
- Artificial intelligence
Authored Works
sorted by decreasing year, and then by display-name
- Reconstruction of a Long-term global spatially Contiguous Solar-Induced Fluorescence (LCSIF) data over 1982-2021
- Reconstruction of 3D turbulent flow fields from 2D images using deep learning
- Plant access to belowground moisture allows sustained evapotranspiration during drought
- Physics to machine learning, and machine learning back to physics
- Our changing environment: from individual efforts to a community-driven effort
- Optimality based Physics Informed Neural Network for stomatal conductance modeling under heat and soil water stress
- Non-Linear Dimensionality Reduction with a Variational Encoder Decoder to Understand Convective Processes in Climate Models
- Machine Learning-Based Causally Informed Atmospheric Parametrizations for Climate Models
- Low-dimensional representation of turbulence across planetary boundary layer regimes
- Let me autodiff this thing: similarities and synergies between physical models and neural networks
- Learning to Learn Ecological Processes in Tropical Forests
- Improving Predictions of Surface Water and Carbon Fluxes by Combining Flux Towers and Cosmic-Ray Neutron Sensors Globally
- Implicit Learning of Convective Organization Explains Precipitation Stochasticity
- Identifying the Relative Importance of Soil Moisture, Relative Humidity, and Temperature for Solar-Induced Chlorophyll Fluorescence of Crops Using Machine Learning Models
- Hyperspectral Soil Albedo in Earth System Models Significantly Impacts Climate Simulations
- Generating Accurate Climate Model Realizations
- Extreme events increase carbon emissions and reliance on fossil fuel
- Estimating the land-atmosphere coupling strength at daily scale in the radiation and moisture pathways using PCMCI and XGBoosting
- Ecosystem-scale downregulation on biochemical process outweighs biophysical process in response to soil water stress
- EMC2: A Hybrid-Machine Learning Carbon Model for the Discovery of Unknown Functional Relationships in Terrestrial Carbon Cycles
- Disentangling the Effects of Meteorological Variability and Wildfires on PM2.5 Concentrations in California using Machine Learning
- Deep Learning for Subgrid-Scale Turbulence Modeling in Large-Eddy Simulations of the Convective Atmospheric Boundary Layer
- Constraining Respiration Flux and Carbon Pools in a Simple Ecosystem Carbon Model
- CASM: A Long-term Consistent Artificial Intelligence-based Soil Moisture Dataset
- Bidirectional Long Short-Term Memory Network to Attribute Greenland Ice Albedo Variability to Specific Drivers
- Bayesian Machine Learning Method for Simultaneous Parameter Inference and Model Closure of Dynamical Systems: Application to Two-Scale Lorenz '96 System
- Asynchronous carbon assimilation and tree growth explains ring-width climate sensitivity of Eastern US temperature oaks
- An objective estimate of water stress - going beyond PDSI
- An improved plant hydraulics model for the land component of the CliMA Earth System Model
- A stochastic machine learning model of wildfire activity in the Western United States
- A machine learning-based method to partition CO2 fluxes and understand the relationship between gross primary productivity and solar-induced chlorophyll fluorescence
- A global synthesis of biomass loss due to wind disturbances during 2016-2018
- A Machine-Learning Model of Terrestrial Water Storage Changes at the Global Scale
- Zero Shot Learning of Black Carbon Optical Properties with Graph Neural Networks
- Widespread thermal acclimation of canopy photosynthesis
- Vegetation responses to elevated CO2 are responsible for the large divergence in tropical hydrological projections
- Unsupervised Organization of Turbulent Updraft Regimes and their Global Response to Warming
- Understanding cloud impacts on Amazonia carbon cycle via radiation and precipitation using convection-parameterized and resolved GCMs
- Toward mapping flood impacts in urban areas using multi-sensor satellite data fusion
- The phenology and environmental drivers of oak tree-growth and photosynthesis at the Lamont Sanctuary Forest in the northeastern US
- Soil moisture-vapor pressure deficit and the key role of land-atmosphere feedback and causality
- Plant hydraulics-modulated forest physiological and compositional responses to climate changes: an evolutionally optimal modeling analysis
- Monitoring Vegetation Status in Tropical Forests and Biomes using Land Surface Temperature
- Machine learning-based parametrizations for the ICON model
- Investigation on the biophysical and biogeochemical responses of ecosystem conductance to water stress using eddy-covariance data
- Hybrid physics-machine learning of atmospheric processes
- Dryland evapotranspiration from remote sensing solar-induced chlorophyll fluorescence: constraining an optimal stomatal model within a two-source energy balance model
- Advances in Land Surface Models and Indicators for Drought Monitoring and Prediction
- A more direct estimation on relative humidity inside the leaf airspaces across angiosperm species
Linked Co-Authors
- A. Anthony Bloom
- A. Park Williams
- Alexander Norton
- Alexandra G. Konings
- Ashley P. Ballantyne
- Bar Oryan
- Benjamin Dechant
- Benjamin I. Cook
- Benjamin R. Lintner
- Beth Tellman
- Biqing Zhu
- Caroline Leland
- Christa D. Peters‐Lidard
- Corinna Rebmann
- D. M. Peteet
- Dani Or
- Dennis P. Lettenmaier
- Ensheng Weng
- Fernando Iglesias‐Suarez
- Gabriele Accarino
- Hannah K. Friedrich
- Irene Palazzoli
- Jiangong Liu
- Jingyi Bu
- Julia K. Green
- Kara D. Lamb
- Kevin L. Griffin
- Kimberly A. Novick
- M. G. Giometto
- Marcos Longo
- Markus Reichstein
- Martin Schrön
- María Piles
- Michael S. Pritchard
- Miguel A. Rico‐Ramirez
- Mukund Palat Rao
- Olya Skulovich
- Patrick Alexander
- Paul A. Levine
- Rafael Rosolem
- Renato K. Braghiere
- René Orth
- Rose Abramoff
- Sara Shamekh
- Serena Ceola
- Sha Zhou
- Shuang Ma
- Sonali McDermid
- Stanislaus J. Schymanski
- Steven J. Davis
- Tom Beucler
- Troy S. Magney
- Upmanu Lall
- Valeria Barra
- Veronika Eyring
- Wenli Zhao
- Xi Yang
- Xu Lian
- Yizong Cheng
- Youngryel Ryu
Linked Collaborating Institutions
- Argentine Institute of Snow Research, Glaciology and Environmental Studies
- Brown University, Rhode Island
- CAS, Institute of Geographic Sciences and Natural Resources Research
- California Institute of Technology
- Cary Institute of Ecosystem Studies, New York
- Chinese Academy of Sciences, Nanjing
- Columbia University, New York
- Commonwealth Scientific and Industrial Research Organization, Australia
- Cornell University, New York
- Eidgenossische Technische Hochschule, Zurich, Switzerland
- German Aerospace Center, Wessling
- Harvard University, Massachusetts
- Helmholtz Research Center, Leipzig
- Imperial College, London
- Indiana University, Bloomington
- Institut National de la Recherche pour l'Agriculture, l'Alimentation et l'Environnement, France
- Jet Propulsion Laboratory
- Johns Hopkins University, Maryland
- Laboratoire des Sciences du Climat et de l'Environnement
- Lamont-Doherty Earth Observatory
- Laval University, Canada
- Lawrence Berkeley National Laboratory, California
- Martin Luther University of Halle, Germany
- Massachusetts Institute of Technology
- Max-Planck-Institute for Biogeochemistry, Jena
- Max-Planck-Institute for Meteorology, Hamburg
- NASA Goddard Space Flight Center, Maryland
- National Center for Atmospheric Research, Colorado
- Northern Arizona University
- Paul Scherrer Institute, Switzerland
- Peking University, China
- Seoul National University, Korea
- Stanford University, California
- State University of New York System
- Swiss Federal Institute for Forest Snow and Landscape Research
- Technical University of Denmark, Lyngby
- Tsinghua University, China
- University Corporation for Atmospheric Research, Colorado
- University of Arizona
- University of Bologna, Italy
- University of Bristol, UK
- University of California, Berkeley
- University of California, Davis
- University of California, Irvine
- University of California, Los Angeles
- University of Colorado, Boulder
- University of Lausanne, Switzerland
- University of Montana
- University of Reading, UK
- University of Salento, Lecce, Italy
- University of Sao Paulo, Brazil
- University of Valencia, Spain
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