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Stochastic parameterization identification using ensemble Kalman filtering combined with maximum likelihood methods Cover

Stochastic parameterization identification using ensemble Kalman filtering combined with maximum likelihood methods

Open Access
|Jan 2018

Authors

Manuel Pulido

pulido@unne.edu.ar

Department of Physics, FaCENA, Universidad Nacional del Nordeste, Corrientes; IMIT, IFAECI, CNRS-CONICET, Buenos Aires

Pierre Tandeo

info@ubiquitypress.com

IMT Atlantique, Lab-STICC, UBL, Brest

Marc Bocquet

info@ubiquitypress.com

CEREA, Joint Laboratory Ecole des Ponts ParisTech and EDF R&D, Universite Paris-Est, Champs-sur-Marne

Alberto Carrassi

info@ubiquitypress.com

Nansen Environmental and Remote Sensing Center, Bergen

Magdalena Lucini

info@ubiquitypress.com

Department of Mathematics, FaCENA, Universidad Nacional del Nordeste and CONICET, Corrientes
Language: English
Page range: 1442099 - 1442099
Submitted on: Sep 21, 2017
Accepted on: Feb 9, 2018
Published on: Jan 1, 2018
Published by: Stockholm University Press
In partnership with: Paradigm Publishing Services

© 2018 Manuel Pulido, Pierre Tandeo, Marc Bocquet, Alberto Carrassi, Magdalena Lucini, published by Stockholm University Press
This work is licensed under the Creative Commons Attribution 4.0 License.