Mr. Haixia Liu Profile

Haixia Liu

at NCEP/EMC

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Proceedings Article | 12 August 2010 Paper

Improvement of the use of MSG and GOES data in the NCEP GDAS

Tong Zhu, Fuzhong Weng, Haixia Liu, John Derber

Proceedings Volume 7811, 781103 (2010) https://doi.org/10.1117/12.860090

KEYWORDS: Imaging systems, Infrared imaging, Calibration, Carbon dioxide, Clouds, Infrared radiation, Satellite imaging, Satellites, Atmospheric modeling, Data conversion

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Infrared (IR) observations from Spinning Enhanced Visible and Infrared Imager (SEVIRI) on board Meteosat Second Generation (MSG)-2 satellite are assimilated into NCEP global data assimilation system (GDAS). The assimilation of current Geostationary Operational Environmental Satellite (GOES) Imager data was also reinvestigated. The Community Radiative Transfer Model (CRTM) was used as observation operator for the assimilation of SEVIRI radiance observations. The CRTM was enhanced with several critical components for IR radiance assimilation, such as a dynamically-updated land surface emissivity data, as well as fast and accurate gaseous absorption modules. The Global Space-Based Inter-Calibration System (GSICS) calibration corrections were applied to improve the simulation of SEVIRI and GOES Imager radiances. Preliminary results show that inclusions of the SEVIRI radiances at water vapor channels (6.25 and 7.35 micron) and CO2 channel (13.4 micron) in Global Forecast System (GFS) produced significant positive impacts on the six-day forecasts. Assimilation of other five SEVIRI IR window channels in GFS reduces the positive impact. By applying GSICS calibration algorithm to correct SEVIRI and GOES-12 Imager observations biases, the impacts on GFS forecast were improved. Further studies are being carried out to improve the effective assimilation of SEVIRI IR window channels radiances.

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