会议专题

STUDY ON SAND-DUST MODEL COUPLED WITH PSU/NCAR MESOSCALE MODEL AND ITS APPLICATION IN NORTHEAST ASIA

A sand-dust numerical model coupled with MM5(PSU/NCAR mesoscale model) –CUCSDust (CMA Unified Chemistry System-Dust) is introduced. CUCSDust includes such detail physical processes as dust production, transport, growth, coagulation, dry and wet deposition, which can simulate and forecast the initial and sand-dust concentration of sand and dust storm. A parallel scheme is also designed to reduce the run-time which is most important for real-time forecasting. Based on CUCSDust, a numerical model forecasting system is established in northeast Asia, and is applied to China Meteorological Administration (CMA) for operational prediction of sand and dust storm from March, 2006. There were 31 storms occurred in northeast Asian in 2006 and the system nicely predicted 29 storms. A prediction result of severe sand and dust storm occurred in 26-28, March, 2006 is chosen, which shows no difference for sand-dust spatial distribution between model outputs and remote sensing monitoring imagers and indicates that the model system has the capability of real-time forecasting sand and dust storm in northeast Asia.

CUCSDust sand-dust storm real-time forecasting parallel MM5

J.R. Jiang X.Y. Zhang C.H.Zhou H.L.Liu X.B. Chi

Chinese Academy of Meteorological Sciences,CMA Supercomputing Center of Computer Network information Chinese Academy of Meteorological Sciences, CMA Beijing, China Supercomputing Center of Computer Network information Center, CAS Beijing, China

国际会议

第九届分布式计算及其应用国际学术研讨会

香港

英文

129-134

2010-08-12(万方平台首次上网日期,不代表论文的发表时间)