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The role of model dynamics in ensemble Kalman filter performance for chaotic systems Cover

The role of model dynamics in ensemble Kalman filter performance for chaotic systems

Open Access
|Jan 2011

Authors

Gene-Hua Crystal Ng

gng@usgs.gov

Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA; U.S. Geological Survey, Menlo Park, CA

Dennis McLaughlin

info@ubiquitypress.com

Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA

Dara Entekhabi

info@ubiquitypress.com

Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA

Adel Ahanin

info@ubiquitypress.com

Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA
Language: English
Page range: 958 - 977
Submitted on: Jun 7, 2010
Accepted on: Jul 9, 2011
Published on: Jan 1, 2011
Published by: Stockholm University Press
In partnership with: Paradigm Publishing Services

© 2011 Gene-Hua Crystal Ng, Dennis McLaughlin, Dara Entekhabi, Adel Ahanin, published by Stockholm University Press
This work is licensed under the Creative Commons Attribution 4.0 License.