Sequential Data Assimilation Techniques in Oceanography-Reference-Cited by-同舟云学术

Sequential Data Assimilation Techniques in Oceanography

Published:2003-01-15 Issue:2 Volume:71 Page:223-241
ISSN:0306-7734
Container-title:International Statistical Review
language:en
Short-container-title:International Statistical Review

Author:

Bertino Laurent¹,Evensen Geir¹,Wackernagel Hans²

Affiliation:

1. Nansen Environmental and Remote Sensing Center, Norway. E‐mail:

2. Centre de Géostatistique, Ecole des Mines de Paris, France

Publisher

Wiley

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/j.1751-5823.2003.tb00194.x

Reference53 articles.

1. An ensemble Kalman filter with a complex marine ecosystem model: hindcasting phytoplankton in the Cretan sea.;Allen J.;Ann. Geophys.,2002

2. A Monte Carlo Implementation of the Nonlinear Filtering Problem to Produce Ensemble Assimilations and Forecasts

3. Generalized inversion of a global numerical weather prediction model

4. Bertino L.(2001).Assimilation de donnees pour la prédiction de paramètres hydrodynamiques et écologiques: le cas de la lagune de l'Oder.Ph.D. thesis Ecole des Mines de Paris Fontainebleau.ftp://cg.ensmp.fr/pub/theses/bertino.pdf..

5. Combining geostatistics and Kalman filtering for data assimilation in an estuarine system

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