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Pierre Gentine
Pierre Gentine
Professor @ Columbia University - Director NSF LEAP STC
Verified email at columbia.edu - Homepage
Title
Cited by
Year
1.12 ANALYSIS OF DIURNAL EVAPORATIVE FRACTION BEHAVIOR
P Gentine, D Entekhabi, A Chehbouni, G Boulet, B Duchemin
A closer look at boundary layer inversion in large-eddy simulations and bulk models
P Gentine, G Bellon, C Van Heerwaarden
AGU Fall Meeting Abstracts 2014, A41M-04, 2014
2014
A closer look at boundary layer inversion in large-eddy simulations and bulk models: Buoyancy-driven case
P Gentine, G Bellon, CC van Heerwaarden
Journal of the atmospheric Sciences 72 (2), 728-749, 2015
262015
A comprehensive framework for seasonal controls of leaf abscission and productivity in evergreen broadleaved tropical and subtropical forests
X Yang, J Wu, X Chen, P Ciais, F Maignan, W Yuan, S Piao, S Yang, ...
The Innovation 2 (4), 2021
432021
A global spatially contiguous solar-induced fluorescence (CSIF) dataset using neural networks
Y Zhang, J Joiner, SH Alemohammad, S Zhou, P Gentine
Biogeosciences 15 (19), 5779-5800, 2018
3162018
A global synthesis of biomass loss due to wind disturbances during 2016-2018
RY Gu, J Devadoss, P Ciais, JP Wigneron, M Piles, P Gentine
AGU Fall Meeting Abstracts 2022, B32D-1393, 2022
2022
A long-term consistent artificial intelligence and remote sensing-based soil moisture dataset
O Skulovich, P Gentine
Scientific data 10 (1), 154, 2023
162023
A long-term consistent soil moisture dataset based on machine learning and remote sensing
O Skulovich, P Gentine
AGU Fall Meeting Abstracts 2020, H002-04, 2020
2020
A Machine Learning Method for Carbon Flux Partitioning Using Solar-induced Fluorescence Measurements
W Zhan, X Yang, Y Goulas, Y Ryu, P Gentine
AGU Fall Meeting Abstracts 2020, B007-10, 2020
2020
A machine learning-based method to partition CO2 fluxes and understand the relationship between gross primary productivity and solar-induced chlorophyll fluorescence
W Zhan, X Yang, Y Ryu, B Dechant, Y Huang, Y Goulas, M Kang, ...
AGU Fall Meeting Abstracts 2022, B42A-06, 2022
2022
A Machine-Learning Model of Terrestrial Water Storage Changes at the Global Scale
I Palazzoli, W Zhao, S Ceola, P Gentine
AGU Fall Meeting Abstracts 2022, H26A-06, 2022
2022
A model for Turbulence Spectra in the Equilibrium
Y Cheng, Q Li, S Argentini, C Sayde, P Gentine
2020
A model for turbulence spectra in the equilibrium range of the stable atmospheric boundary layer
Y Cheng, Q Li, S Argentini, C Sayde, P Gentine
Journal of Geophysical Research: Atmospheres 125 (5), e2019JD032191, 2020
142020
A Model for Turbulence Spectra in the Equilibrium Range of the Stable Atmospheric Boundary Layer: Data
Y Cheng, Q Li, S Argentini, C Sayde, P Gentine
2020
A model study of soil moisture feedbacks on hydroclimatic variability
A Berg, B Lintner, P Gentine, K Findell, S Malyshev
EGU General Assembly Conference Abstracts, EGU2013-6434, 2013
32013
A more direct estimation on relative humidity inside the leaf airspaces across angiosperm species
J Han, T Singer, S Schymanski, D Or, P Gentine
AGU Fall Meeting Abstracts 2021, B12B-01, 2021
2021
A multi-satellite framework to rapidly evaluate extreme biosphere cascades: the Western US 2021 drought and heatwave Running Title: Rapid framework for biosphere cascades …
D Entekhabi, J Joiner, B Poulter, AF Feldman, Z Zhang, Y Yoshida, ...
A multi‐satellite framework to rapidly evaluate extreme biosphere cascades: The Western US 2021 drought and heatwave
AF Feldman, Z Zhang, Y Yoshida, P Gentine, A Chatterjee, D Entekhabi, ...
Global Change Biology 29 (13), 3634-3651, 2023
32023
A new assessment of land-atmosphere feedback strength
K Findell, P Gentine, B Lintner, C Kerr
EGU General Assembly Conference Abstracts, 7420, 2010
2010
A new machine learning-based fire hazard index for forecasting wildfire risk in a warming climate
J Buch, K Lamb, P Gentine
AGU Fall Meeting Abstracts 2023, NH41A-05, 2023
2023
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Articles 1–20