✦ LIBER ✦

Uncertainty Quantification in the Ensemble Kalman Filter

✍ Scribed by Saetrom, Jon; Omre, Henning

Book ID: 121672047
Publisher: John Wiley and Sons
Year: 2013
Tongue: English
Weight: 480 KB
Volume: 40
Category: Article
ISSN: 0303-6898
DOI: 10.1111/sjos.12039

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Resampling the ensemble Kalman filter

✍ Myrseth, Inge; Sætrom, Jon; Omre, Henning 📂 Article 📅 2013 🏛 Elsevier Science 🌐 English ⚖ 452 KB

Analysis Scheme in the Ensemble Kalman F

Analysis Scheme in the Ensemble Kalman Filter

✍ Burgers, Gerrit; Jan van Leeuwen, Peter; Evensen, Geir 📂 Article 📅 1998 🏛 American Meteorological Society 🌐 English ⚖ 100 KB

Nonlinear measurement function in the en

Nonlinear measurement function in the ensemble Kalman filter

✍ Youmin Tang,Jaison Ambandan,Dake Chen 📂 Article 📅 2014 🏛 Springer-Verlag 🌐 English ⚖ 209 KB

On the convergence of the ensemble Kalma

On the convergence of the ensemble Kalman filter

✍ Jan Mandel; Loren Cobb; Jonathan D. Beezley 📂 Article 📅 2011 🏛 Springer-Verlag 🌐 English ⚖ 115 KB

Analysis sensitivity calculation in an e

Analysis sensitivity calculation in an ensemble Kalman filter

✍ Junjie Liu; Eugenia Kalnay; Takemasa Miyoshi; Carla Cardinali 📂 Article 📅 2009 🏛 John Wiley and Sons 🌐 English ⚖ 522 KB

## Abstract Analysis sensitivity indicates the sensitivity of an analysis to the observations, which is complementary to the sensitivity of the analysis to the background. In this paper, we discuss a method to calculate this quantity in an Ensemble Kalman Filter (EnKF). The calculation procedure an

A robust formulation of the ensemble Kal

A robust formulation of the ensemble Kalman filter

✍ S. J. Thomas; J. P. Hacker; J. L. Anderson 📂 Article 📅 2009 🏛 John Wiley and Sons 🌐 English ⚖ 338 KB

## Abstract The ensemble Kalman filter (EnKF) can be interpreted in the more general context of linear regression theory. The recursive filter equations are equivalent to the normal equations for a weighted least‐squares estimate that minimizes a quadratic functional. Solving the normal equations i