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气象:2020,46(12):1585-1595
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应用卫星资料改进云计算过程的初步试验研究
赵晨阳,徐国强,黄守友
(民航气象中心,北京 100021;国家气象中心/数值预报中心,北京 100081;中国科学院软件研究所,北京 100190)
Preliminary Experimental Study on Improving Cloud Computing Process with Satellite Data
ZHAO Chenyang,XU Guoqiang,HUANG Shouyou
(Aviation Meteorological Center, Beijing 100021;CMA Numerical Weather Prediction Centre/National Meteorological Centre, Beijing 100081;Institute of Software, Chinese Academy of Sciences, Beijing 100190)
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投稿时间:2019-04-03    修订日期:2020-06-19
中文摘要: 利用GRAPES_Meso模式对2018年两次降雨天气过程进行了数值模拟,对比分析了模式计算和卫星观测的相关云变量。结果指出,在目前GRAPES_Meso模式云量计算方案中存在模拟高云云量偏多、中低云密闭云区云量偏少、模式模拟的云顶温度明显偏低、云顶高度明显偏高的问题。针对模式云计算存在的问题,对云计算的原理和公式进行了解读,对计算公式进行了优化改进。改进云计算方案后,高云云量偏多问题得到了明显改进;模式模拟的云顶温度明显偏低和云顶高度明显偏高问题也得到了极大缓解或优化改进。以卫星观测资料为基础对云量计算方案的优化进行的初步探索和试验,为研究和优化云计算方案提供了一种新的手段和方法。
Abstract:The GRAPES_Meso model was used to simulate two rainfall processes in 2018. The relevant cloud variables of model calculation and satellite observation were compared and analyzed. The results show that in the existing cloud computing scheme of GRAPES_Meso model, there is excessive high cloud cover in some places and deficit cloud cover in the mid- and low-level dense-closed cloud region. The cloud top temperature simulated by GRAPES_Meso model is obviously lower and the cloud top height is obviously higher. To address these issues, the principles and formulas of the cloud computing scheme are interpreted, and the calculation for-mula is optimized. After adopting the improved cloud computing scheme, the excessive high cloud cover is greatly alleviated, and the low cloud top temperature and high cloud top height are greatly optimized. Based on satellite observation data, the preliminary exploration and test on the optimization of cloud computing scheme provides a new means for researching and optimizing cloud computing scheme.
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基金项目:国家重点研发计划(2018YFC1506902、2018YFC1506603)和国家自然科学基金项目(41590874)共同资助
引用文本:
赵晨阳,徐国强,黄守友,2020.应用卫星资料改进云计算过程的初步试验研究[J].气象,46(12):1585-1595.
ZHAO Chenyang,XU Guoqiang,HUANG Shouyou,2020.Preliminary Experimental Study on Improving Cloud Computing Process with Satellite Data[J].Meteor Mon,46(12):1585-1595.