4D ensemble Kalman filtering for assimilation of asynchronous observations

T. Sauer; B. R. Hunt; J. A. Yorke; A. V. Zimin; E. Ott; Eric Kostelich; I. Szunyogh; G. Gyarmati; E. Kalnay; D. J. Patil

4D ensemble Kalman filtering for assimilation of asynchronous observations

T. Sauer, B. R. Hunt, J. A. Yorke, A. V. Zimin, E. Ott, Eric Kostelich, I. Szunyogh, G. Gyarmati, E. Kalnay, D. J. Patil

Mathematical and Statistical Sciences, School of (SoMSS)

Research output: Contribution to journal › Conference article › peer-review

Abstract

A 4-dimensional ensemble Kalman filter method (4DEnKF), which adapts ensemble Kalman filtering to the assimilation of observations that are asynchronous with the analysis cycle, is discussed. In the ideal case of linear dynamics between consecutive analyses, the algorithm is equivalent to Kalman filtering assimilation at each observation time. Tests of 4DEnKF on the Lorenz 40 variable model are conducted.

Original language	English (US)
Pages (from-to)	3075-3079
Number of pages	5
Journal	Bulletin of the American Meteorological Society
State	Published - 2004
Event	Combined Preprints: 84th American Meteorological Society (AMS) Annual Meeting - Seattle, WA., United States Duration: Jan 11 2004 → Jan 15 2004

ASJC Scopus subject areas

Atmospheric Science

Cite this

@article{82d41bd7dbd94bf3a338245a6969f958,

title = "4D ensemble Kalman filtering for assimilation of asynchronous observations",

abstract = "A 4-dimensional ensemble Kalman filter method (4DEnKF), which adapts ensemble Kalman filtering to the assimilation of observations that are asynchronous with the analysis cycle, is discussed. In the ideal case of linear dynamics between consecutive analyses, the algorithm is equivalent to Kalman filtering assimilation at each observation time. Tests of 4DEnKF on the Lorenz 40 variable model are conducted.",

author = "T. Sauer and Hunt, {B. R.} and Yorke, {J. A.} and Zimin, {A. V.} and E. Ott and Eric Kostelich and I. Szunyogh and G. Gyarmati and E. Kalnay and Patil, {D. J.}",

year = "2004",

language = "English (US)",

pages = "3075--3079",

journal = "Bulletin of the American Meteorological Society",

issn = "0003-0007",

publisher = "American Meteorological Society",

note = "Combined Preprints: 84th American Meteorological Society (AMS) Annual Meeting ; Conference date: 11-01-2004 Through 15-01-2004",

}

TY - JOUR

T1 - 4D ensemble Kalman filtering for assimilation of asynchronous observations

AU - Sauer, T.

AU - Hunt, B. R.

AU - Yorke, J. A.

AU - Zimin, A. V.

AU - Ott, E.

AU - Kostelich, Eric

AU - Szunyogh, I.

AU - Gyarmati, G.

AU - Kalnay, E.

AU - Patil, D. J.

PY - 2004

Y1 - 2004

N2 - A 4-dimensional ensemble Kalman filter method (4DEnKF), which adapts ensemble Kalman filtering to the assimilation of observations that are asynchronous with the analysis cycle, is discussed. In the ideal case of linear dynamics between consecutive analyses, the algorithm is equivalent to Kalman filtering assimilation at each observation time. Tests of 4DEnKF on the Lorenz 40 variable model are conducted.

AB - A 4-dimensional ensemble Kalman filter method (4DEnKF), which adapts ensemble Kalman filtering to the assimilation of observations that are asynchronous with the analysis cycle, is discussed. In the ideal case of linear dynamics between consecutive analyses, the algorithm is equivalent to Kalman filtering assimilation at each observation time. Tests of 4DEnKF on the Lorenz 40 variable model are conducted.

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UR - http://www.scopus.com/inward/citedby.url?scp=2442509753&partnerID=8YFLogxK

M3 - Conference article

AN - SCOPUS:2442509753

SN - 0003-0007

SP - 3075

EP - 3079

JO - Bulletin of the American Meteorological Society

JF - Bulletin of the American Meteorological Society

T2 - Combined Preprints: 84th American Meteorological Society (AMS) Annual Meeting

Y2 - 11 January 2004 through 15 January 2004

ER -

4D ensemble Kalman filtering for assimilation of asynchronous observations

Abstract

ASJC Scopus subject areas

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