Errors of the day, bred vectors and singular vectors: Implications for ensemble forecasting and data assimilation

Shu Chih Yang; Matteo Corazza; Eugenia Kalnay

Errors of the day, bred vectors and singular vectors: Implications for ensemble forecasting and data assimilation

Shu Chih Yang, Matteo Corazza, Eugenia Kalnay

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

Abstract

The quasi-geostrophic 3D-Var data assimilation simulation system is developed to compare several methods for data assimilation and ensemble forecasting. The analysis and the forecast errors of the day obtained from 3D-Var are compared with bred vectors (BV) and singular vectors (SV). The final SVs have a similar structure as the BVs and both of them have the ability to depict the shape of the background error. The initial SVs are dominated by the zonal patterns with a strong meridional gradient.

Original language	English
Pages (from-to)	3161-3170
Number of pages	10
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: 11 Jan 2004 → 15 Jan 2004

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abstract = "The quasi-geostrophic 3D-Var data assimilation simulation system is developed to compare several methods for data assimilation and ensemble forecasting. The analysis and the forecast errors of the day obtained from 3D-Var are compared with bred vectors (BV) and singular vectors (SV). The final SVs have a similar structure as the BVs and both of them have the ability to depict the shape of the background error. The initial SVs are dominated by the zonal patterns with a strong meridional gradient.",

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T1 - Errors of the day, bred vectors and singular vectors

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

AU - Yang, Shu Chih

AU - Corazza, Matteo

AU - Kalnay, Eugenia

PY - 2004

Y1 - 2004

N2 - The quasi-geostrophic 3D-Var data assimilation simulation system is developed to compare several methods for data assimilation and ensemble forecasting. The analysis and the forecast errors of the day obtained from 3D-Var are compared with bred vectors (BV) and singular vectors (SV). The final SVs have a similar structure as the BVs and both of them have the ability to depict the shape of the background error. The initial SVs are dominated by the zonal patterns with a strong meridional gradient.

AB - The quasi-geostrophic 3D-Var data assimilation simulation system is developed to compare several methods for data assimilation and ensemble forecasting. The analysis and the forecast errors of the day obtained from 3D-Var are compared with bred vectors (BV) and singular vectors (SV). The final SVs have a similar structure as the BVs and both of them have the ability to depict the shape of the background error. The initial SVs are dominated by the zonal patterns with a strong meridional gradient.

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M3 - 會議論文

AN - SCOPUS:2442499254

SN - 0003-0007

SP - 3161

EP - 3170

JO - Bulletin of the American Meteorological Society

JF - Bulletin of the American Meteorological Society

Y2 - 11 January 2004 through 15 January 2004

ER -

Errors of the day, bred vectors and singular vectors: Implications for ensemble forecasting and data assimilation

Abstract

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