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contributor authorLuo, Xiaodong
contributor authorHoteit, Ibrahim
date accessioned2017-06-09T17:31:06Z
date available2017-06-09T17:31:06Z
date copyright2013/10/01
date issued2013
identifier issn0027-0644
identifier otherams-86594.pdf
identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4230169
description abstracthis article examines the influence of covariance inflation on the distance between the measured observation and the simulated (or predicted) observation with respect to the state estimate. In order for the aforementioned distance to be bounded in a certain interval, some sufficient conditions are derived, indicating that the covariance inflation factor should be bounded in a certain interval, and that the inflation bounds are related to the maximum and minimum eigenvalues of certain matrices. Implications of these analytic results are discussed, and a numerical experiment is presented to verify the validity of the analysis conducted.
publisherAmerican Meteorological Society
titleCovariance Inflation in the Ensemble Kalman Filter: A Residual Nudging Perspective and Some Implications
typeJournal Paper
journal volume141
journal issue10
journal titleMonthly Weather Review
identifier doi10.1175/MWR-D-13-00067.1
journal fristpage3360
journal lastpage3368
treeMonthly Weather Review:;2013:;volume( 141 ):;issue: 010
contenttypeFulltext


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