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【数学之美-杰出学者讲坛】2024年第3期 ||Optimal transport and Monge-Ampere equ...
好莱坞数据专家和制作逻辑的数据重塑
长视频平台趋势与洞察
清华大学材料科学与工程研究院《材料科学论坛》:机器学习辅助合金理性设计
报告题目:
全球变化科学紫荆论坛第324期:A Gray Zone GCM
 报告人:
Prof. In-Sik Kang
国家海洋局第二海洋研究所研究员
印度洋中心主任
报告时间:
2019-10-15 10:00
报告地点:
清华大学蒙民伟科技大楼南楼S818
主办单位:
地球系统科学系
  简介:

The present seminar presents a development strategy of a relatively high-resolution general circulation model (GCM) of an order of 10 km with explicit moisture physics. It is demonstrated that the GCM requires a full representation of cloud microphysics to simulate the precipitation statistics reasonably well, particularly extreme precipitation frequency, and moisture related phenomena such as the Madden and Julian Oscillation (MJO), close to those of observation. In the present study, the cloud microphysics is modified to allow its implementation in a GCM with a horizontal resolution of 50 km. The GCM with cloud microphysics requires additional vertical mixing processes in the lower and upper troposphere. The newly developed GCM with a horizontal resolution of 50 km, which includes explicit cloud microphysics and a scale-adaptive convective parameterization, simulates precipitation statistics and the MJO more realistically than those produced by the conventional GCMs with convective parameterization.


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