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

Research output: Contribution to journalArticle

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 languageEnglish (US)
Pages (from-to)3001-3011
Number of pages11
JournalBulletin of the American Meteorological Society
StatePublished - 2004

Fingerprint

Kalman filter
prediction
data assimilation
experiment
forecast
test

ASJC Scopus subject areas

  • Atmospheric Science

Cite this

Szunyogh, I., Kostelich, E., Gyarmati, G., Hunt, B. R., Ott, E., Zimin, A. V., ... Yorke, J. A. (2004). A local ensemble Kalman filter for the NCEP GFS model. Bulletin of the American Meteorological Society, 3001-3011.

A local ensemble Kalman filter for the NCEP GFS model. / Szunyogh, Istvan; Kostelich, Eric; Gyarmati, Gyorgyi; Hunt, Brian R.; Ott, Edward; Zimin, Aleksey V.; Kalnay, Eugenia; Patil, Dhanurjay; Yorke, James A.

In: Bulletin of the American Meteorological Society, 2004, p. 3001-3011.

Research output: Contribution to journalArticle

Szunyogh, I, Kostelich, E, Gyarmati, G, Hunt, BR, Ott, E, Zimin, AV, Kalnay, E, Patil, D & Yorke, JA 2004, 'A local ensemble Kalman filter for the NCEP GFS model', Bulletin of the American Meteorological Society, pp. 3001-3011.
Szunyogh, Istvan ; Kostelich, Eric ; Gyarmati, Gyorgyi ; Hunt, Brian R. ; Ott, Edward ; Zimin, Aleksey V. ; Kalnay, Eugenia ; Patil, Dhanurjay ; Yorke, James A. / A local ensemble Kalman filter for the NCEP GFS model. In: Bulletin of the American Meteorological Society. 2004 ; pp. 3001-3011.
@article{48aa3f538e9740efa930a2938c21a34e,
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.}",
year = "2004",
language = "English (US)",
pages = "3001--3011",
journal = "Bulletin of the American Meteorological Society",
issn = "1087-3562",
publisher = "American Meteorological Society",

}

TY - JOUR

T1 - A local ensemble Kalman filter for the NCEP GFS model

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

Y1 - 2004

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.

UR - http://www.scopus.com/inward/record.url?scp=2442623226&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=2442623226&partnerID=8YFLogxK

M3 - Article

AN - SCOPUS:2442623226

SP - 3001

EP - 3011

JO - Bulletin of the American Meteorological Society

JF - Bulletin of the American Meteorological Society

SN - 1087-3562

ER -