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《Chinese Journal of Geophysics》 2009-12
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Bias correction study on the satellite humidity retrievals through a one-dimensional variational method

PAN Ning~1,YU Fan~(2*)1 Fujian Meteorological Observatory,Fuzhou 350001,China2 Department of Atmospheric Sciences,Nanjing University,Nanjing 210093,China  
By using a one-dimensional variational (1D-Var) method,relative humidity (RH) derived from GMS-5 multi-channel satellite images and from NOAA-14's TIROS Operational Vertical Sounder (TOVS) radiances were corrected by 6-h RH forecasts of the MM5 meso-scale NWP model.Errors with respect to the collocated NCEP/DOE reanalysis (R-2) were assessed. It shows that the root mean square differences (RMSD) of the GMS RH retrievals are 11%~ 14% in 925~400 hPa and 20%~24% in 300~200 hPa,while the TOVS RH retrievals have RMSD of 21%~24% in 1000~500 hPa and 25%~29% in 400~300 hPa,respectively.After 1D-Var correction,the absolute mean biases of the resulting GMS RH retrievals in 850~300 hPa are reduced by 0.59%~2.87%,and that of the resulting TOVS RH retrievals in 500~300 hPa are reduced from 7%~13% to 1%~5%.The reduction in RMSD of the corrected RH retrieved from GMS and from TOVS is 3.26%~7.49% and 12.61%~15.1% respectively.The RMSD of the corrected RH retrieved from GMS in 925~400 hPa and from TOVS in 1000~500 hPa are dropped to below 10%,the accuracy requirement for satellite RH retrievals determined by the World Meteorological Organization (WMO).
【Fund】: 国家自然科学基金项目(40175007 40875012)资助.
【CateGory Index】: P426.1
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