A simple, fast parallel implementation of GRAPES 3DVAR

Author

Kong, Lingmei ; Yang, Yongtao ; Zhu, Xiaoqian ; Song, Junqiang

Author_Institution

Coll. of Comput. Sci., Nat. Univ. of Defense Technol., Hunan

fYear

2005

fDate

1-1 July 2005

Lastpage

421

Abstract

The three-dimensional variational (3DVAR) is an objective analysis approach developed in the late 1980s. Currently, it is one of the most common data assimilation methods used in numerical weather prediction (NWP). The global and regional assimilation prediction system (GRAPES) is the Chinese new generation NWP system, in which 3DVAR is one of the main components and plays an important role in direct assimilation for non-conventional observations. After giving a brief description of the GRAPES 3DVAR, this paper puts forward a simply, fast parallel scheme of the GRAPES 3DVAR. The testing results on an 8-node cluster show that the parallel implementation achieves considerable load balancing and parallel efficiency

Keywords

data assimilation; geophysics computing; parallel processing; variational techniques; weather forecasting; Chinese numerical weather prediction system; data assimilation; fast parallel scheme; global and regional assimilation prediction system; three-dimensional variational analysis; Atmospheric modeling; Data assimilation; Interpolation; Meteorology; Numerical models; Pipelines; Predictive models; Research and development; Satellites; Weather forecasting; 3DVAR; GRAPES; parallel implementation;

fLanguage

English

Publisher

ieee

Conference_Titel

High-Performance Computing in Asia-Pacific Region, 2005. Proceedings. Eighth International Conference on

Conference_Location

Beijing

Print_ISBN

0-7695-2486-9

Type

conf

DOI

10.1109/HPCASIA.2005.12

Filename

1592298