scispace - formally typeset
S

Serge Planton

Researcher at Centre national de la recherche scientifique

Publications -  57
Citations -  6052

Serge Planton is an academic researcher from Centre national de la recherche scientifique. The author has contributed to research in topics: Climate change & Mesoscale meteorology. The author has an hindex of 30, co-authored 54 publications receiving 5492 citations.

Papers
More filters
Journal ArticleDOI

A Simple Parameterization of Land Surface Processes for Meteorological Models

TL;DR: In this article, a parameterization of land surface processes to be included in mesoscale and large-scale meteorological models is presented, where the number of parameters has been reduced as much as possible, while attempting to preserve the representation of the physics which controls the energy and water budgets.
Journal ArticleDOI

The CNRM-CM5.1 global climate model: description and basic evaluation

TL;DR: A new version of the general circulation model CNRM-CM has been developed jointly by CNRMs-GAME (Centre National de Recherches Meteorologiques-Groupe d'etudes de l’Atmosphere Meteorologique) and Cerfacs as discussed by the authors in order to contribute to phase 5 of the Coupled Model Intercomparison Project (CMIP5).
Journal ArticleDOI

THE PIRATA PROGRAM History, Accomplishments, and Future Directions *

TL;DR: The Pilot Research Moored Array in the tropical Atlantic (PIRATA) was developed as a multinational observation network to improve our knowledge and understanding of ocean-atmosphere variability in tropical Atlantic as mentioned in this paper.
Journal ArticleDOI

Sensitivity of the hydrological cycle to increasing amounts of greenhouse gases and aerosols

TL;DR: The coupled atmosphere-ocean Climate Model of the Centre National de Recherches Meteorologiques (CNRM) has been used to run a time-dependent climate change experiment to study the impact of increasing amounts of greenhouse gases and aerosols on the simulated water cycle.
Journal ArticleDOI

Application of regularised optimal fingerprinting to attribution. Part I: method, properties and idealised analysis

TL;DR: ROF provides a much more objective and somewhat more accurate implementation of optimal fingerprinting in detection and attribution studies, and is more accurate than the standard method, in a mean squared error sense.