In the atmospheric sciences, the scales of atmospheric data are massive and growing rapidly. For complex weather forecast, such as the typhoon track prediction requires the computing of very large of computers. In order to reduce the computing cost and protect meteorological resources, we use cloud computing technologies to design an elastic meteorological cloud platform (EMCP). It can share and manage meteorological resources flexibly and efficiently. The experimental results show the EMCP has better performance and efficiency.
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