Estimation and correction of model bias in the NASA/GMAO GEOS5 data assimilation system: Sequential implementation

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• 作者：Banglin Zhang ; Vijay Tallapragada ; Fuzhong Weng…
• 关键词：data assimilation ; model bias ; estimation and correction
• 刊名：Advances in Atmospheric Sciences
• 出版年：2016
• 出版时间：June 2016
• 年：2016
• 卷：33
• 期：6
• 页码：659-672
• 全文大小：3,217 KB
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• 作者单位：Banglin Zhang (1) (2)
  Vijay Tallapragada (2)
  Fuzhong Weng (3)
  Jason Sippel (1) (2)
  Zaizhong Ma (4)
  
  1. I.M. System Group, Inc., College Park, MD, 20740, USA
  2. NOAA NCEP Environmental Modeling Center, College Park, MD, 20740, USA
  3. NOAA Center for Satellite Applications and Research, College Park, MD, 20740, USA
  4. NOAA Joint Center for Satellite Data Assimilation, College Park, MD, 20740, USA
  
• 刊物主题：Atmospheric Sciences; Meteorology; Geophysics/Geodesy;
• 出版者：Springer Berlin Heidelberg
• ISSN：1861-9533

文摘

This study presents a simplified multivariate bias correction scheme that is sequentially implemented in the GEOS5 data assimilation system and compared against a control experiment without model bias correction. The results show considerable improvement in terms of the mean biases of rawinsonde observation-minus-background (OmB) residuals for observed water vapor, wind and temperature variables. The time series spectral analysis shows whitening of bias-corrected OmB residuals, and mean biases for rawinsonde observation-minus-analysis (OmA) are also improved. Some wind and temperature biases in the control experiment near the equatorial tropopause nearly vanish from the bias-corrected experiment. Despite the analysis improvement, the bias correction scheme has only a moderate impact on forecast skill. Significant interaction is also found among quality-control, satellite observation bias correction, and background bias correction, and the latter positively impacts satellite bias correction.