Cloud Macro- and Microphysical Properties in Extreme Rainfall Induced by Landfalling Typhoons over China
被引:2
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作者:
Zhao, Dajun
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机构:
Chinese Acad Meteorol Sci, State Key Lab Severe Weather, Beijing 100081, Peoples R ChinaChinese Acad Meteorol Sci, State Key Lab Severe Weather, Beijing 100081, Peoples R China
Zhao, Dajun
[1
]
Yu, Yubin
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机构:
China Meteorol Adm, China Meteorol Adm Training Ctr, Beijing 100081, Peoples R ChinaChinese Acad Meteorol Sci, State Key Lab Severe Weather, Beijing 100081, Peoples R China
Yu, Yubin
[2
]
Li, Ying
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机构:
Chinese Acad Meteorol Sci, State Key Lab Severe Weather, Beijing 100081, Peoples R ChinaChinese Acad Meteorol Sci, State Key Lab Severe Weather, Beijing 100081, Peoples R China
Li, Ying
[1
]
Xu, Hongxiong
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机构:
Chinese Acad Meteorol Sci, State Key Lab Severe Weather, Beijing 100081, Peoples R ChinaChinese Acad Meteorol Sci, State Key Lab Severe Weather, Beijing 100081, Peoples R China
Xu, Hongxiong
[1
]
Chen, Lianshou
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Chinese Acad Meteorol Sci, State Key Lab Severe Weather, Beijing 100081, Peoples R ChinaChinese Acad Meteorol Sci, State Key Lab Severe Weather, Beijing 100081, Peoples R China
Chen, Lianshou
[1
]
机构:
[1] Chinese Acad Meteorol Sci, State Key Lab Severe Weather, Beijing 100081, Peoples R China
[2] China Meteorol Adm, China Meteorol Adm Training Ctr, Beijing 100081, Peoples R China
Extreme rainfall induced by landfalling typhoon (ERLTC) can cause destructive natural disasters throughout China. Cloud properties in ERLTC are not yet well understood and parameterized, which limits the forecast accuracy of ERLTC to some extent. The 99th percentile intensity of daily rainfall associated with LTC is objectively defined as ERLTC and using the CloudSat tropical cyclone (CSTC) dataset from 2006 to 2018, cloud macro- and microphysical characteristics are statistically investigated. Results show that the proportion of single-layer (double-layered) clouds increases (decreases) significantly on the occurrence day of ERLTC. In the TC inner core region, the proportion of deep convective cloud at 2-10 km is the highest, reaching 50%. In the TC envelop region, deep convective cloud at the height of 3-8 km and cirrus at the height of 12-14 km account for the highest proportions. For the TC outer region, cirrus around 13 km has the highest proportion. During the ERLTC period, the ice-water content is mainly distributed in 5-18 km, and is mostly distributed in the TC inner core, followed by the envelop region. A large number of smaller ice particles are gathering in the upper troposphere at 13-18 km, while a small number of larger ones is gathering in the middle levels around 8-10 km. These results are useful for evaluating the ERLTC simulations and are expected to provide new forecasting factors for ERLTC in cloud macro- and microphysical perspectives.
机构:
Nanjing Univ Informat Sci & Technol, Minist Educ, Key Lab Meteorol Disaster, Nanjing, Peoples R China
Chinese Acad Meteorol Sci, State Key Lab Severe Weather, Beijing, Peoples R ChinaNanjing Univ Informat Sci & Technol, Minist Educ, Key Lab Meteorol Disaster, Nanjing, Peoples R China
Qiu, Wenyu
Wu, Liguang
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机构:
Fudan Univ, Dept Atmospher & Ocean Sci, Shanghai, Peoples R China
Fudan Univ, Inst Atmospher Sci, Shanghai, Peoples R ChinaNanjing Univ Informat Sci & Technol, Minist Educ, Key Lab Meteorol Disaster, Nanjing, Peoples R China
Wu, Liguang
Ren, Fumin
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机构:
Chinese Acad Meteorol Sci, State Key Lab Severe Weather, Beijing, Peoples R ChinaNanjing Univ Informat Sci & Technol, Minist Educ, Key Lab Meteorol Disaster, Nanjing, Peoples R China
机构:
Key Laboratory of Cloud-Precipitation Physics and Severe Storms,Institute of Atmospheric Physics,Chinese Academy of Sciences
College of Earth Science,University of Chinese Academy of SciencesKey Laboratory of Cloud-Precipitation Physics and Severe Storms,Institute of Atmospheric Physics,Chinese Academy of Sciences
HUANG Yong-Jie
CUI Xiao-Peng
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机构:
Key Laboratory of Cloud-Precipitation Physics and Severe Storms,Institute of Atmospheric Physics,Chinese Academy of Sciences
Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science & TechnologyKey Laboratory of Cloud-Precipitation Physics and Severe Storms,Institute of Atmospheric Physics,Chinese Academy of Sciences
CUI Xiao-Peng
WANG Ya-Ping
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机构:
Key Laboratory of Cloud-Precipitation Physics and Severe Storms,Institute of Atmospheric Physics,Chinese Academy of Sciences
College of Earth Science,University of Chinese Academy of SciencesKey Laboratory of Cloud-Precipitation Physics and Severe Storms,Institute of Atmospheric Physics,Chinese Academy of Sciences
机构:Guangzhou Institute of Tropical and Marine Meteorology/Guangdong Provincial Key Laboratory of Regional Numerical Weather Prediction,State Key Laboratory of Severe Weather (LaSW)
Hong Wang
Jinfang Yin
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机构:Guangzhou Institute of Tropical and Marine Meteorology/Guangdong Provincial Key Laboratory of Regional Numerical Weather Prediction,State Key Laboratory of Severe Weather (LaSW)
Jinfang Yin
Naigeng Wu
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机构:Guangzhou Institute of Tropical and Marine Meteorology/Guangdong Provincial Key Laboratory of Regional Numerical Weather Prediction,State Key Laboratory of Severe Weather (LaSW)
Naigeng Wu
Weiyu Ding
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机构:Guangzhou Institute of Tropical and Marine Meteorology/Guangdong Provincial Key Laboratory of Regional Numerical Weather Prediction,State Key Laboratory of Severe Weather (LaSW)
机构:
CMA, Guangzhou Inst Trop & Marine Meteorol, Guangdong Prov Key Lab Reg Numer Weather Predict, Guangzhou 510641, Peoples R China
Chinese Acad Meteorol Sci, State Key Lab Severe Weather LaSW, Beijing 100081, Peoples R ChinaCMA, Guangzhou Inst Trop & Marine Meteorol, Guangdong Prov Key Lab Reg Numer Weather Predict, Guangzhou 510641, Peoples R China
Wang, Hong
Yin, Jinfang
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机构:
Chinese Acad Meteorol Sci, State Key Lab Severe Weather LaSW, Beijing 100081, Peoples R ChinaCMA, Guangzhou Inst Trop & Marine Meteorol, Guangdong Prov Key Lab Reg Numer Weather Predict, Guangzhou 510641, Peoples R China
Yin, Jinfang
Wu, Naigeng
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机构:
CMA, Guangzhou Inst Trop & Marine Meteorol, Guangdong Prov Key Lab Reg Numer Weather Predict, Guangzhou 510641, Peoples R China
Guangdong Ecol Meteorol Ctr, Guangzhou 510641, Peoples R ChinaCMA, Guangzhou Inst Trop & Marine Meteorol, Guangdong Prov Key Lab Reg Numer Weather Predict, Guangzhou 510641, Peoples R China
Wu, Naigeng
Ding, Weiyu
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机构:
CMA, Guangzhou Inst Trop & Marine Meteorol, Guangdong Prov Key Lab Reg Numer Weather Predict, Guangzhou 510641, Peoples R ChinaCMA, Guangzhou Inst Trop & Marine Meteorol, Guangdong Prov Key Lab Reg Numer Weather Predict, Guangzhou 510641, Peoples R China
机构:
Chengdu Univ Informat Technol, Sch Atmospher Sci, Chengdu 610225, Peoples R China
Chinese Acad Meteorol Sci, State Key Lab Severe Weather, Beijing 100081, Peoples R ChinaChengdu Univ Informat Technol, Sch Atmospher Sci, Chengdu 610225, Peoples R China
Wang, Mingyang
Ren, Fumin
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机构:
Chinese Acad Meteorol Sci, State Key Lab Severe Weather, Beijing 100081, Peoples R ChinaChengdu Univ Informat Technol, Sch Atmospher Sci, Chengdu 610225, Peoples R China
Ren, Fumin
Xie, Yanjun
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机构:
Zhuzhou Meteorol Off, Zhuzhou 412000, Hunan, Peoples R ChinaChengdu Univ Informat Technol, Sch Atmospher Sci, Chengdu 610225, Peoples R China
Xie, Yanjun
Li, Guoping
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机构:
Chengdu Univ Informat Technol, Sch Atmospher Sci, Chengdu 610225, Peoples R ChinaChengdu Univ Informat Technol, Sch Atmospher Sci, Chengdu 610225, Peoples R China
Li, Guoping
Yang, Ming-Jen
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机构:
Natl Taiwan Univ, Dept Atmospher Sci, Taipei, TaiwanChengdu Univ Informat Technol, Sch Atmospher Sci, Chengdu 610225, Peoples R China
Yang, Ming-Jen
Feng, Tian
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机构:
Chengdu Univ Informat Technol, Sch Atmospher Sci, Chengdu 610225, Peoples R China
Chinese Acad Meteorol Sci, State Key Lab Severe Weather, Beijing 100081, Peoples R ChinaChengdu Univ Informat Technol, Sch Atmospher Sci, Chengdu 610225, Peoples R China