Estimation and correction of model bias in the NASA/GMAO GEOS5 data assimilation system: Sequential implementation |
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| Authors: | Banglin Zhang Vijay Tallapragada Fuzhong Weng Jason Sippel Zaizhong Ma |
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| Institution: | 1.I.M. System Group, Inc.,College Park,USA;2.NOAA NCEP Environmental Modeling Center,College Park,USA;3.NOAA Center for Satellite Applications and Research,College Park,USA;4.NOAA Joint Center for Satellite Data Assimilation,College Park,USA |
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| Abstract: | 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. |
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