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CMA's Urban Meteorology Key Innovation Team Received Outstanding Rating in 2023 Review
Time:2023-12-13Keywords: Source of article:Pageviews:52

The China Meteorological Administration's (CMA) Urban Meteorology Key Innovation Team and its leader both received an outstanding rating in the 2023 review meeting championed by the Beijing Meteorological Service on the afternoon of December 13th. The review panel comprised experts from institutions such as the Institute of Atmospheric Physics of the Chinese Academy of Sciences, the National Meteorological Center, the Chinese Academy of Meteorological Sciences, and the Beijing Climate Center. Leaders from the CMA's Forecasting, Technology, and Personnel Departments also attended the meeting and provided guidance.      

The team was guided by the Institute of Urban Meteorology, CMA, Beijing (IUM), and was approved to be established in November 2022, with Director Miao Shiguang serving as the team's chief scientist. The team was jointly formed by the Shanghai Meteorological Service, Sun Yat-sen University, Nanjing University, and the National Climate Center, spanning multiple departments and units. With its focus on urban meteorology, the team concentrates on key scientific issues such as the urban boundary layer and high-impact weather mechanisms, precise urban meteorological forecasting, and urban climate.             

Following the guidelines of the CMA, the Beijing Meteorological Service conducted the 2023 annual review of the innovation team. The review revolved around the annual team-building tasks and evaluated the annual task progress, innovation achievements, and goal completion of the team and its chief scientist and leader. The review also took into account the effectiveness of the team's operational management mechanisms and the integration of technology resources in projects, teams, and platforms. The rating ranges from outstanding, good, and qualified to unqualified.    

During the review meeting, experts conducted inquiries and evaluations of the innovation team in multiple dimensions, 


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