By Rucong Yu, Tianjun Zhou, Tongwen Wu, Wei Xue, Guangqing Zhou
This ebook relies at the venture “Development and Validation of excessive answer weather approach types” with the help of the nationwide Key easy examine venture less than furnish No. 2010CB951900. It demonstrates the foremost advances within the improvement of latest, dynamical Atmospheric basic flow version (AGCM) and Ocean common movement version (OGCM) cores which are compatible for top solution modeling, the advance of version physics, and the layout of a versatile, multi-model ensemble coupling framework. it's a important reference for graduate scholars, researchers and execs operating within the similar parts of weather modeling and weather change.
Prof. Rucong Yu works on the China Meteorological management; Prof. Tianjun Zhou works at LASG, the Institute of Atmospheric Physics, chinese language Academy of Sciences; Tongwen Wu works at Beijing weather heart, China Meteorological management; affiliate Prof. Wei Xue works on the division of laptop technology and expertise, Tsinghua collage; Prof. Guangqing Zhou works on the Institute of Atmospheric Physics (IAP), chinese language Academy of Sciences.
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In the IE model, there are seven AGCM realizations with different initial states, the ensemble mean of which is coupled with other model components. The IE platform is designed to reduce the atmospheric noise in the coupled climate system. Therefore, the IE model can be used to examine the variability with and without noise. Previous studies have used the IE strategy to investigate the SST variance in the North Paciﬁc and North Atlantic, and found that the SST variance reduces in the IE model proportionally to the number of ensemble members of the atmospheric model (Yeh and Kirtman 2004; Wu et al.
2008a, b, 2014), the distribution of the annual range of precipitation and the monsoon domain are obtained and shown in Fig. 5. In the observation, the monsoon regions are the Asian–Australian monsoon, the North and South African monsoon, and the North and South American monsoon. The CMIP5 MME reproduces well the main monsoon regions, but with unrealistic monsoon over the southern Paciﬁc Ocean along South America coast. Furthermore, the Northwestern Paciﬁc (NWP) monsoon region extends more east than in the observation.
The strategy combines the deep ﬁrst search (DFS) (Collin and Dolev 1994) and branch and bound ideology (Quesada and Grossmann 1992) to achieve maximum performance enhancement. Among the various elements that can impact the performance of the model, it is the process count, the number of coupled components, and the components’ layout that are the three main factors of performance improvement, while the count of resources on a speciﬁc platform can also affect the performance characteristics of the model.