206 citations
- Centre d'Enseignement et de Recherche en Environnement AtmosphériqueFR7 papers
- Bjerknes Centre for Climate ResearchNO5 papers
- Centre National de la Recherche ScientifiqueFR5 papers
- Paris-Est SupFR5 papers
- École nationale des ponts et chausséesFR4 papers
- Laboratoire d'Océanographie et du Climat : Expérimentations et Approches NumériquesFR4 papers
- Ben-Gurion University of the NegevIL3 papers
- Finnish Meteorological InstituteFI3 papers
- National Centre for Earth ObservationGB3 papers
- Pôle de recherche et d'enseignement supérieur Université Paris-EstFR3 papers
- Sorbonne UniversitéFR3 papers
- University of HelsinkiFI3 papers
4 papers · 1 filter
Revising the stochastic iterative ensemble smoother
Patrick N. Raanes, Geir Evensen, Andreas S. Stordal
Ensemble randomized maximum likelihood (EnRML) is an iterative (stochastic) ensemble smoother, used for large and nonlinear inverse problems, such as history matching and data assi…
Adaptive covariance inflation in the ensemble Kalman filter by Gaussian scale mixtures
Patrick N. Raanes, Marc Bocquet, Alberto Carrassi
This paper studies multiplicative inflation: the complementary scaling of the state covariance in the ensemble Kalman filter (EnKF). Firstly, error sources in the EnKF are catalogu…
Extending the square root method to account for additive forecast noise in ensemble methods
Patrick N. Raanes, Alberto Carrassi, Laurent Bertino
A square root approach is considered for the problem of accounting for model noise in the forecast step of the ensemble Kalman filter (EnKF) and related algorithms. The primary aim…
Accounting for model error due to unresolved scales within ensemble Kalman filtering
Lewis Mitchell, Alberto Carrassi
We propose a method to account for model error due to unresolved scales in the context of the ensemble transform Kalman filter (ETKF). The approach extends to this class of algorit…