Prof. Dr. Pierre Gentine
Professor of Earth and Environmental Engineering at the University of Coumbia
Director, Learning the Earth with AI and Physics (LEAP) NSF Science and Technology Center

Pierre is Professor of Earth and Environmental Engineering at the University of Coumbia. Pierre is an expert on land-atmosphere interactions and Earth system modeling and analysis. His work focuses on better predicting and understanding changes in the water and carbon cycles using a combination of multiscale modeling (from millimetre scale to the Earth scale) and observations (from in situ to global remote sensing data).
He uses machine learning techniques to improve the retrieval of surface variables (fluxes, soil moisture) as well as to represent physical components of Earth system models (e.g. deep convection, turbulence).
Pierre has been elected as co-leader of the National Oceanic and Atmospheric Administration (NOAA) drought task force, aimed at improving drought forecasts and defining the new metrics used for drought predictions and he is also part of the World Climate Research Program (WCRP)’s Working Group on Seasonal to Interannual Prediction – member, and focusing on the predictability associated with land surfaces.
He is also an elected member of the Global Land/Atmosphere System Study (GLASS) Global Energy and Water Cycle Experiment (GEWEX) aimed at improving land-atmosphere interactions, as well as the representative at Columbia University of the Consortium of Universities for the Advancement of Hydrologic Science, Inc. (CUAHSI).
Pierre is also co-lead of the new US CLIVAR (Climate and Ocean: Variability, Predictability and Change) on the use of data science to improve Earth system modeling.

Phone: +1 212 854-7287
Mail: pg2328@columbia.edu
Google Scholar: https://scholar.google.com/citations?user=1KXRphAAAAAJ&hl=de