Title :
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
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;
Conference_Titel :
High-Performance Computing in Asia-Pacific Region, 2005. Proceedings. Eighth International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7695-2486-9
DOI :
10.1109/HPCASIA.2005.12