M
Michel Rixen
Researcher at World Climate Research Programme
Publications - 112
Citations - 4780
Michel Rixen is an academic researcher from World Climate Research Programme. The author has contributed to research in topics: Mediterranean sea & Data assimilation. The author has an hindex of 31, co-authored 110 publications receiving 3867 citations. Previous affiliations of Michel Rixen include Centre for Maritime Research and Experimentation & University of Liège.
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Journal ArticleDOI
The Subseasonal to Seasonal (S2S) Prediction Project Database
Frederic Vitart,Constantin Ardilouze,A. Bonet,Anca Brookshaw,M. Chen,C. Codorean,Michel Déqué,Laura Ferranti,E. Fucile,Manuel Fuentes,Harry H. Hendon,J. Hodgson,H.-S. Kang,Arun Kumar,Hai Lin,Guoqiang Liu,Xiangwen Liu,Piero Malguzzi,I. Mallas,M. Manoussakis,D. Mastrangelo,Craig MacLachlan,Peter McLean,A. Minami,R. Mladek,Tetsuo Nakazawa,S. Najm,Y. Nie,Michel Rixen,Andrew W. Robertson,Paolo Ruti,C. Sun,Yuhei Takaya,Mikhail A. Tolstykh,F. Venuti,Duane E. Waliser,Steven J. Woolnough,Tongwen Wu,D.-J. Won,H. Xiao,R. B. Zaripov,L. Zhang +41 more
TL;DR: The Subseasonal to Seasonal (S2S) Prediction research project has been established by the World Weather Research Programme/World Climate Research Programme as discussed by the authors, which is the main deliverable of this project is the establishment of an extensive database containing sub-seasonal (up to 60 days) forecasts, 3 weeks behind real time, and reforecasts from 11 operational centers, modeled in part on the The Observing System Research and Predictability Experiment (THORPEX) Interactive Grand Global Ensemble (TIGGE) database for medium-range forecasts.
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EOF Calculations and Data Filling from Incomplete Oceanographic Datasets
Jean-Marie Beckers,Michel Rixen +1 more
TL;DR: In this article, a self-consistent method is proposed to infer missing data from oceanographic data series and to extract the relevant empirical orthogonal functions, which allows for the detection of statistically significant EOFs by a cross-validation procedure for a complete or incomplete dataset, as well as the noise level and interpolation error.
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Reconstruction of incomplete oceanographic data sets using empirical orthogonal functions: application to the Adriatic Sea surface temperature
TL;DR: A method for the reconstruction of missing data based on an EOF decomposition has been applied to a large data set, a test case of Sea Surface Temperature satellite images of the Adriatic Sea as mentioned in this paper.
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The Western Mediterranean Deep Water: A proxy for climate change
Michel Rixen,Jean-Marie Beckers,S. Levitus,John I. Antonov,Timothy P. Boyer,C. Maillard,Michele Fichaut,E. Balopoulos,Sissy Iona,H Dooley,María García,Beniamino B. Manca,Alessandra Giorgetti,G. M. R. Manzella,N. Mikhailov,Nadia Pinardi,Marco Zavatarelli +16 more
TL;DR: This paper showed a proxy relationship between heat content changes in the North Atlantic and the Western Mediterranean Deep Water (WMDW) formed in the Gulf of Lions in winter, because of consistent air-sea heat fluxes over these areas.
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WCRP COordinated Regional Downscaling EXperiment (CORDEX): A diagnostic MIP for CMIP6
William J. Gutowski,Filippo Giorgi,Bertrand Timbal,Anne Frigon,Daniela Jacob,Hyun-Suk Kang,Krishnan Raghavan,Boram Lee,Christopher Lennard,Grigory Nikulin,Eleanor O’Rourke,Eleanor O’Rourke,Michel Rixen,Silvina Alicia Solman,Tannecia S. Stephenson,Fredolin Tangang +15 more
TL;DR: The Coordinated Regional Downscaling Experiment (CORDEXPERiment) as mentioned in this paper is a diagnostic model intercomparison project (MIP) in CMIP6 that provides a common framework for downscaling activities around the world.