Adaptive tuning of background error and satellite radiances observation error for operational variational assimilation

Wei Han; Jishan Xue

doi:10.1117/12.774771

14 November 2007 Adaptive tuning of background error and satellite radiances observation error for operational variational assimilation

Wei Han, Jishan Xue

Author Affiliations +

Proceedings Volume 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications; 679044 (2007) https://doi.org/10.1117/12.774771
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

Abstract

This paper proposed a new implementation of error tuning algorithm based on the posterior diagnosis of variational assimilation system by applying a iterative fixed-point procedure. The method is shown to be feasible in a practical tuning of background and observation error for operational variational assimilation. The iteration process converges very rapidly and the results are reasonable .The results are illustrated by utilizing the Chinese Meteorological Administration (CMA) new generation of NWP system GRAPES (Global/Regional Assimilation PrEdiction System) regional-meso version over the East Asia domain. The impacts of the tuning of background and satellite radiances observation error on analyses and forecasts are shown and discussed. The results are very promising.

Citation Download Citation

Wei Han and Jishan Xue "Adaptive tuning of background error and satellite radiances observation error for operational variational assimilation", Proc. SPIE 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications, 679044 (14 November 2007); https://doi.org/10.1117/12.774771

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