Super-parameterization in GRAPES: The construction of SP-GRAPES and associated preliminary results

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• 作者：Feng Zhu ; Guoqiang Xu ; Xiaohui Zheng …
• 关键词：super ; parameterization ; GRAPES ; Beijing -.21-heavy rainfall event ; cloud fraction ; precipitation forecast verification
• 刊名：Journal of Meteorological Research
• 出版年：2015
• 出版时间：April 2015
• 年：2015
• 卷：29
• 期：2
• 页码：272-292
• 全文大小：2,853 KB
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• 作者单位：Feng Zhu (1) (2)
  Guoqiang Xu (2)
  Xiaohui Zheng (3)
  Yuhong Wang (1) (2)
  
  1. Chinese Academy of Meteorological Sciences, Beijing, 100081, China
  2. National Meteorological Center/Numerical Weather Prediction Center, China Meteorological Administration, Beijing, 100081, China
  3. College of Global Change and Earth System Science, Beijing Normal University, Beijing, 100081, China
  
• 刊物类别：Atmospheric Sciences; Meteorology; Geophysics and Environmental Physics; Atmospheric Protection/Air
• 刊物主题：Atmospheric Sciences; Meteorology; Geophysics and Environmental Physics; Atmospheric Protection/Air Quality Control/Air Pollution;
• 出版者：The Chinese Meteorological Society
• ISSN：2198-0934

文摘

Super-parameterization (SP) aims to explicitly represent deep convection within a coarse resolution global model by embedding a cloud resolving model (CRM) in each column of the mother model. For the first time, we implemented the SP in a mesoscale regional weather model, the Global/Regional Assimilation and PrEdiction System (GRAPES). The constructed SP-GRAPES uses a two-dimensional (2D) CRM in each grid column. A control and two SP simulations are conducted for the Beijing -.21-heavy rainfall event to evaluate improvements in GRAPES using SP. The SP-run-I is a basic SP run delivering microphysics feedback only, whereas the SP-run-II delivers both microphysical and cloud fraction feedbacks. A comparison of the runs indicates that the SP-run-I has a slightly positive impact on the precipitation forecast than the control run. However, the inclusion of cloud fraction feedback leads to an evident overall improvement, particularly in terms of cloud fraction and 24-h cumulative precipitation. Although this is only a preliminary study using SP-GRAPES, we believe that it will provide considerable guidance for follow-up studies using SP in China. Keywords super-parameterization GRAPES Beijing -.21-heavy rainfall event cloud fraction precipitation forecast verification