摘要
To better assimilate Advanced TIROS Operational Vertical Sounder(ATOVS) radiance data and provide more accurate initial fields for a numerical model,two bias correction schemes are employed to correct the ATOVS radiance data.The difference in the two schemes lies in the predictors use in air-mass bias correction.The predictors used in SCHEME 1 are all obtained from model first-guess,while those in SCHEME 2 are from model first-guess and radiance observations.The results from the two schemes show that after bias correction,the observation residual became smaller and closer to a Gaussian distribution.For both land and ocean data sets,the results obtained from SCHEME 1 are similar to those from SCHEME 2,which indicates that the predictors could be used in bias correction of ATOVS data.
To better assimilate Advanced TIROS Operational Vertical Sounder （ATOVS） radiance data and provide more accurate initial fields for a numerical model, two bias correction schemes are employed to correct the ATOVS radiance data. The difference in the two schemes lies in the predictors use in air-mass bias correction. The predictors used in SCHEME 1 are all obtained from model first-guess, while those in SCHEME 2 are from model first-guess and radiance observations. The results from the two schemes show that after bias correction, the observation residual became smaller and closer to a Gaussian distribution. For both land and ocean data sets, the results obtained from SCHEME 1 are similar to those from SCHEME 2, which indicates that the predictors could be used in bias correction of ATOVS data.
基金
National Natural Science Foundation of China (40875021, 40930951)
Knowledge Innovation Program of Chinese Academy of Sciences ( KZCX2-YW-Q03-3)
