Gaussian anamorphosis in the analysis step of the EnKF: a joint state-variable/observation approach
The analysis step of the (ensemble) Kalman filter is optimal when (1) the distribution of the background is Gaussian, (2) state variables and observations are related via a linear operator, and (3) the observational error is of additive nature and has Gaussian distribution. When these conditions are...
Salvato in:
| Autori principali: | , |
|---|---|
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Stockholm University Press
2014-09-01
|
| Serie: | Tellus: Series A, Dynamic Meteorology and Oceanography |
| Soggetti: | |
| Accesso online: | http://www.tellusa.net/index.php/tellusa/article/download/23493/pdf_1 |
| Tags: |
Nessun Tag, puoi essere il primo ad aggiungerne!!
|