## Abstract Ensemble Kalman filter techniques are widely used to assimilate observations into dynamical models. The phase‐space dimension is typically much larger than the number of ensemble members, which leads to inaccurate results in the computed covariance matrices. These inaccuracies can lead,
✦ LIBER ✦
A regulated localization scheme for ensemble-based Kalman filters
✍ Scribed by Lars Nerger; Tijana Janjić; Jens Schröter; Wolfgang Hiller
- Book ID
- 112183993
- Publisher
- John Wiley and Sons
- Year
- 2011
- Tongue
- English
- Weight
- 268 KB
- Volume
- 138
- Category
- Article
- ISSN
- 0035-9009
- DOI
- 10.1002/qj.945
No coin nor oath required. For personal study only.
📜 SIMILAR VOLUMES
A localization technique for ensemble Ka
✍
Kay Bergemann; Sebastian Reich
📂
Article
📅
2010
🏛
John Wiley and Sons
🌐
English
⚖ 134 KB
A local ensemble Kalman filter for atmos
✍
EDWARD OTT; BRIAN R. HUNT; ISTVAN SZUNYOGH; ALEKSEY V. ZIMIN; ERIC J. KOSTELICH;
📂
Article
📅
2004
🏛
John Wiley and Sons
🌐
English
⚖ 190 KB
Assimilating non-local observations with
✍
ELANA J. FERTIG; BRIAN R. HUNT; EDWARD OTT; ISTVAN SZUNYOGH
📂
Article
📅
2007
🏛
John Wiley and Sons
🌐
English
⚖ 632 KB
Efficient data assimilation for spatiote
✍
Brian R. Hunt; Eric J. Kostelich; Istvan Szunyogh
📂
Article
📅
2007
🏛
Elsevier Science
🌐
English
⚖ 419 KB
Ensemble Kalman filter versus particle f
✍
Damiano Pasetto; Matteo Camporese; Mario Putti
📂
Article
📅
2012
🏛
Elsevier Science
🌐
English
⚖ 1001 KB
Ensemble transform Kalman filter perturb
✍
Neill E. Bowler; Kenneth R. Mylne
📂
Article
📅
2009
🏛
John Wiley and Sons
🌐
English
⚖ 190 KB
## Abstract The Met Office has been routinely running a short‐range ensemble prediction system since the summer of 2005. This system consists of two component ensembles, a global ensemble that provides lateral boundary conditions to a regional ensemble. The global ensemble calculates the initial co