State-of-the-art stochastic data assimilation methods for high-dimensional non-Gaussian problems
Authors
Sanita Vetra-Carvalho
s.vetra-carvalho@reading.ac.uk
Department of Meteorology, University of Reading, Reading
Peter Jan Van Leeuwen
Department of Meteorology, University of Reading, Reading; National Centre for Earth Observation, Reading
Lars Nerger
Alfred Wegener Institute, Helmholtz Center for Polar and Marine Research, Bremerhaven
Alexander Barth
GeoHydrodynamic and Environmental Research (GHER), University of Liege, Liege
Pierre Brasseur
CNRS, IRD, Grenoble INP, IGE, University of Grenoble Alpes, Grenoble
Paul Kirchgessner
Alfred Wegener Institute, Helmholtz Center for Polar and Marine Research, Bremerhaven
Jean-Marie Beckers
GeoHydrodynamic and Environmental Research (GHER), University of Liege, Liege
DOI: https://doi.org/10.1080/16000870.2018.1445364 | Journal eISSN: 3035-9554
Language: English
Page range: 1445364 - 1445364
Submitted on: Jul 5, 2017
Accepted on: Feb 19, 2018
Published on: Jan 1, 2018
Published by: Stockholm University Press
In partnership with: Paradigm Publishing Services
© 2018 Sanita Vetra-Carvalho, Peter Jan Van Leeuwen, Lars Nerger, Alexander Barth, M. Umer Altaf, Pierre Brasseur, Paul Kirchgessner, Jean-Marie Beckers, published by Stockholm University Press
This work is licensed under the Creative Commons Attribution 4.0 License.