A local ensemble kalman filter for the NCEP GFS model

Istvan Szunyogh; Eric Kostelich; Gyorgyi Gyarmati; Brian R. Hunt; Edward Ott; Aleksey V. Zimin; Eugenia Kalnay; Dhanurjay Patil; James A. Yorke

A local ensemble kalman filter for the NCEP GFS model

Istvan Szunyogh, Eric Kostelich, Gyorgyi Gyarmati, Brian R. Hunt, Edward Ott, Aleksey V. Zimin, Eugenia Kalnay, Dhanurjay Patil, James A. Yorke

Mathematical and Statistical Sciences, School of (SoMSS)

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

1 Scopus citations

Abstract

This paper outlines the basic concept and mathematical formulation of the Local Ensemble Kalman Filter (LEKF, Ott et al. 2002 and 2003) data assimilation scheme. Some important properties of the scheme are illustrated by numerical experiments with the Lorenz-96 model. Initial implementations of the LEKF on the National Centers for Environmental Prediction Global Forecast System (NCEP GFS) are discussed. Tests of these implementations under the perfect model hypothesis are conducted.

Original language	English (US)
Pages (from-to)	67-77
Number of pages	11
Journal	Bulletin of the American Meteorological Society
State	Published - Jun 1 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

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title = "A local ensemble kalman filter for the NCEP GFS model",

abstract = "This paper outlines the basic concept and mathematical formulation of the Local Ensemble Kalman Filter (LEKF, Ott et al. 2002 and 2003) data assimilation scheme. Some important properties of the scheme are illustrated by numerical experiments with the Lorenz-96 model. Initial implementations of the LEKF on the National Centers for Environmental Prediction Global Forecast System (NCEP GFS) are discussed. Tests of these implementations under the perfect model hypothesis are conducted.",

author = "Istvan Szunyogh and Eric Kostelich and Gyorgyi Gyarmati and Hunt, {Brian R.} and Edward Ott and Zimin, {Aleksey V.} and Eugenia Kalnay and Dhanurjay Patil and Yorke, {James A.}",

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AU - Szunyogh, Istvan

AU - Kostelich, Eric

AU - Gyarmati, Gyorgyi

AU - Hunt, Brian R.

AU - Ott, Edward

AU - Zimin, Aleksey V.

AU - Kalnay, Eugenia

AU - Patil, Dhanurjay

AU - Yorke, James A.

PY - 2004/6/1

Y1 - 2004/6/1

N2 - This paper outlines the basic concept and mathematical formulation of the Local Ensemble Kalman Filter (LEKF, Ott et al. 2002 and 2003) data assimilation scheme. Some important properties of the scheme are illustrated by numerical experiments with the Lorenz-96 model. Initial implementations of the LEKF on the National Centers for Environmental Prediction Global Forecast System (NCEP GFS) are discussed. Tests of these implementations under the perfect model hypothesis are conducted.

AB - This paper outlines the basic concept and mathematical formulation of the Local Ensemble Kalman Filter (LEKF, Ott et al. 2002 and 2003) data assimilation scheme. Some important properties of the scheme are illustrated by numerical experiments with the Lorenz-96 model. Initial implementations of the LEKF on the National Centers for Environmental Prediction Global Forecast System (NCEP GFS) are discussed. Tests of these implementations under the perfect model hypothesis are conducted.

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M3 - Conference article

AN - SCOPUS:2442607396

SN - 0003-0007

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EP - 77

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 -

A local ensemble kalman filter for the NCEP GFS model

Abstract

ASJC Scopus subject areas

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