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

Tong Zhu; Fuzhong Weng; Haixia Liu; John Derber

doi:10.1117/12.860090

12 August 2010 Improvement of the use of MSG and GOES data in the NCEP GDAS

Tong Zhu, Fuzhong Weng, Haixia Liu, John Derber

Proceedings Volume 7811, Atmospheric and Environmental Remote Sensing Data Processing and Utilization VI: Readiness for GEOSS IV; 781103 (2010) https://doi.org/10.1117/12.860090
Event: SPIE Optical Engineering + Applications, 2010, San Diego, California, United States

Abstract

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.

Citation Download Citation

Tong Zhu, Fuzhong Weng, Haixia Liu, and John Derber "Improvement of the use of MSG and GOES data in the NCEP GDAS", Proc. SPIE 7811, Atmospheric and Environmental Remote Sensing Data Processing and Utilization VI: Readiness for GEOSS IV, 781103 (12 August 2010); https://doi.org/10.1117/12.860090

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available