Ensemble-based data assimilation at a coastline

Altug Aksoy; Fuqing Zhang; John W. Nielsen-Gammon; Craig Epifanio; Chris Snyder

Ensemble-based data assimilation at a coastline

Altug Aksoy, Fuqing Zhang, John W. Nielsen-Gammon, Craig Epifanio, Chris Snyder

Meteorology and Atmospheric Science

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

Abstract

The potential of the Ensemble Kalman filter in the area of model error estimation and reduction in a sea-breeze environment was analyzed. The test was performed after a 12-hour model run using 20 ensemble members and simulated buoyancy observations placed at 20km spacing in the horizontal and 250m in the vertical. The results show that some noise is introduced at the surface, especially around the sea-breeze front where phase difference between the mean forecast field and the truth field is most pronounced. It was suggested that, although this noise does not influence the domain-wide performance of the filter, it does introduce some unbalanced structure.

Original language	English (US)
Pages (from-to)	3031-3038
Number of pages	8
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

All Science Journal Classification (ASJC) codes

Atmospheric Science

Cite this

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title = "Ensemble-based data assimilation at a coastline",

abstract = "The potential of the Ensemble Kalman filter in the area of model error estimation and reduction in a sea-breeze environment was analyzed. The test was performed after a 12-hour model run using 20 ensemble members and simulated buoyancy observations placed at 20km spacing in the horizontal and 250m in the vertical. The results show that some noise is introduced at the surface, especially around the sea-breeze front where phase difference between the mean forecast field and the truth field is most pronounced. It was suggested that, although this noise does not influence the domain-wide performance of the filter, it does introduce some unbalanced structure.",

author = "Altug Aksoy and Fuqing Zhang and Nielsen-Gammon, {John W.} and Craig Epifanio and Chris Snyder",

year = "2004",

language = "English (US)",

pages = "3031--3038",

journal = "Bulletin of the American Meteorological Society",

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

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TY - JOUR

T1 - Ensemble-based data assimilation at a coastline

AU - Aksoy, Altug

AU - Zhang, Fuqing

AU - Nielsen-Gammon, John W.

AU - Epifanio, Craig

AU - Snyder, Chris

PY - 2004

Y1 - 2004

N2 - The potential of the Ensemble Kalman filter in the area of model error estimation and reduction in a sea-breeze environment was analyzed. The test was performed after a 12-hour model run using 20 ensemble members and simulated buoyancy observations placed at 20km spacing in the horizontal and 250m in the vertical. The results show that some noise is introduced at the surface, especially around the sea-breeze front where phase difference between the mean forecast field and the truth field is most pronounced. It was suggested that, although this noise does not influence the domain-wide performance of the filter, it does introduce some unbalanced structure.

AB - The potential of the Ensemble Kalman filter in the area of model error estimation and reduction in a sea-breeze environment was analyzed. The test was performed after a 12-hour model run using 20 ensemble members and simulated buoyancy observations placed at 20km spacing in the horizontal and 250m in the vertical. The results show that some noise is introduced at the surface, especially around the sea-breeze front where phase difference between the mean forecast field and the truth field is most pronounced. It was suggested that, although this noise does not influence the domain-wide performance of the filter, it does introduce some unbalanced structure.

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M3 - Conference article

AN - SCOPUS:2442436561

SN - 0003-0007

SP - 3031

EP - 3038

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 -

Ensemble-based data assimilation at a coastline

Abstract

All Science Journal Classification (ASJC) codes

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