GRAPES 3DVAR and its preliminary application on remote sensing data assimilation

Author

Zhuang, Shiyu ; Wan, Qilin ; Guofu, Zhu ; Jishan, Xue

Author_Institution

Center for Numerical Prediction Res., Chinese Acad. of Meteorol. Sci., Beijing, China

Volume

1

fYear

2005

fDate

25-29 July 2005

Abstract

Global/Regional Assimilation and Prediction System (GRAPES) is a newly developed numerical weather prediction (NWP) system in Chinese Meteorological Administration (CMA), within it three dimensional variational (3DVAR) data assimilation is a important component. 3DVAR is a good way on using remote sensing data directly or indirectly to adjust atmospheric parameters for creating model initial values. The implementation of GRAPES 3DVAR is described and some preliminary applications on remote sensing data assimilation applications are presented.

Keywords

atmospheric techniques; data assimilation; remote sensing; weather forecasting; 3D variational data assimilation; Chinese Meteorological Administration; GRAPES 3DVAR; Global/Regional Assimilation and Prediction System; numerical weather prediction; remote sensing data; Algorithm design and analysis; Atmospheric modeling; Covariance matrix; Data assimilation; Filters; Interpolation; Meteorology; Pipelines; Radio frequency; Remote sensing;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 2005. IGARSS '05. Proceedings. 2005 IEEE International

Print_ISBN

0-7803-9050-4

Type

conf

DOI

10.1109/IGARSS.2005.1526264

Filename

1526264