Precursor Circulation Features for Persistent Extreme Precipitation in Central-Eastern China
被引:54
作者:
Chen, Yang
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Nanjing Univ Informat Sci & Technol, Dept Atmospher Sci, Nanjing, Jiangsu, Peoples R China
Chinese Acad Meteorol Sci, State Key Lab Severe Weather, China Meteorol Adm, Beijing 100081, Peoples R ChinaNanjing Univ Informat Sci & Technol, Dept Atmospher Sci, Nanjing, Jiangsu, Peoples R China
Chen, Yang
[1
,2
]
Zhai, Panmao
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Chinese Acad Meteorol Sci, State Key Lab Severe Weather, China Meteorol Adm, Beijing 100081, Peoples R ChinaNanjing Univ Informat Sci & Technol, Dept Atmospher Sci, Nanjing, Jiangsu, Peoples R China
Zhai, Panmao
[2
]
机构:
[1] Nanjing Univ Informat Sci & Technol, Dept Atmospher Sci, Nanjing, Jiangsu, Peoples R China
[2] Chinese Acad Meteorol Sci, State Key Lab Severe Weather, China Meteorol Adm, Beijing 100081, Peoples R China
Using a composite analysis, the typical precursor circulation configuration from the lower to the upper troposphere responsible for persistent extreme precipitation events (PEPEs) of double-blocking-high type in central-eastern China is identified. The potential of these precursors is further assessed based on the composites of normalized anomalies. The composite results reveal that at 500 hPa, about 2 weeks prior to the onset of PEPEs, a positive height anomaly progresses toward the Ural Mountains region from 30 degrees E and another positive anomaly extends southwest from high latitudes toward the Sea of Okhotsk. Afterward, these two positive anomalies grow in magnitude in situ. The double blocking highs are finally well established with height anomalies of 2.4 and 1.8 standard deviations above normal, respectively. At 850 hPa, an anomalous anticyclone originating from the equatorial western Pacific migrates northwestward 1 week prior to the event occurrence, resulting in a greatly intensified moisture transport toward central-eastern China with a magnitude anomaly over four standard deviations above normal. In the upper troposphere, the eastward-extended South Asia high and the southward-displaced westerlies combine to provide favorable upper-level divergence for PEPEs. These composites of the anomalies and normalized anomalies may offer forecasters some useful clues in recognizing significant weather events about 1-2 weeks in advance of an event.
机构:
Chinese Acad Meteorol Sci, CMA, State Key Lab Severe Weather, Beijing, Peoples R ChinaChinese Acad Meteorol Sci, CMA, State Key Lab Severe Weather, Beijing, Peoples R China
Chen, Yang
Zhai, Panmao
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Chinese Acad Meteorol Sci, CMA, State Key Lab Severe Weather, Beijing, Peoples R ChinaChinese Acad Meteorol Sci, CMA, State Key Lab Severe Weather, Beijing, Peoples R China
机构:
Chinese Acad Meteorol Sci, State Key Lab Severe Weather, CMA, Beijing, Peoples R ChinaChinese Acad Meteorol Sci, State Key Lab Severe Weather, CMA, Beijing, Peoples R China
Chen, Yang
Zhai, Panmao
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Chinese Acad Meteorol Sci, State Key Lab Severe Weather, CMA, Beijing, Peoples R ChinaChinese Acad Meteorol Sci, State Key Lab Severe Weather, CMA, Beijing, Peoples R China
机构:
City Univ Hong Kong, Shenzhen Res Inst, Shenzhen, Peoples R China
City Univ Hong Kong, Guy Carpenter Asia Pacific Climate Impact Ctr, Sch Energy & Environm, Kowloon, Hong Kong, Peoples R ChinaCity Univ Hong Kong, Shenzhen Res Inst, Shenzhen, Peoples R China
Cheung, Ho Nam
Zhou, Wen
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City Univ Hong Kong, Shenzhen Res Inst, Shenzhen, Peoples R China
City Univ Hong Kong, Guy Carpenter Asia Pacific Climate Impact Ctr, Sch Energy & Environm, Kowloon, Hong Kong, Peoples R ChinaCity Univ Hong Kong, Shenzhen Res Inst, Shenzhen, Peoples R China
Zhou, Wen
Shao, Yaping
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机构:
Univ Cologne, Inst Geophys & Meteorol, Cologne, GermanyCity Univ Hong Kong, Shenzhen Res Inst, Shenzhen, Peoples R China
Shao, Yaping
Chen, Wen
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机构:
Chinese Acad Sci, Inst Atmospher Phys, Ctr Monsoon Syst Res, Beijing, Peoples R ChinaCity Univ Hong Kong, Shenzhen Res Inst, Shenzhen, Peoples R China
Chen, Wen
Mok, Hing Yim
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Hong Kong Observ, Hong Kong, Hong Kong, Peoples R ChinaCity Univ Hong Kong, Shenzhen Res Inst, Shenzhen, Peoples R China
Mok, Hing Yim
Wu, Man Chi
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Hong Kong Observ, Hong Kong, Hong Kong, Peoples R ChinaCity Univ Hong Kong, Shenzhen Res Inst, Shenzhen, Peoples R China
机构:
Chinese Acad Meteorol Sci, CMA, State Key Lab Severe Weather, Beijing, Peoples R ChinaChinese Acad Meteorol Sci, CMA, State Key Lab Severe Weather, Beijing, Peoples R China
Chen, Yang
Zhai, Panmao
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Chinese Acad Meteorol Sci, CMA, State Key Lab Severe Weather, Beijing, Peoples R ChinaChinese Acad Meteorol Sci, CMA, State Key Lab Severe Weather, Beijing, Peoples R China
机构:
Chinese Acad Meteorol Sci, State Key Lab Severe Weather, CMA, Beijing, Peoples R ChinaChinese Acad Meteorol Sci, State Key Lab Severe Weather, CMA, Beijing, Peoples R China
Chen, Yang
Zhai, Panmao
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h-index: 0
机构:
Chinese Acad Meteorol Sci, State Key Lab Severe Weather, CMA, Beijing, Peoples R ChinaChinese Acad Meteorol Sci, State Key Lab Severe Weather, CMA, Beijing, Peoples R China
机构:
City Univ Hong Kong, Shenzhen Res Inst, Shenzhen, Peoples R China
City Univ Hong Kong, Guy Carpenter Asia Pacific Climate Impact Ctr, Sch Energy & Environm, Kowloon, Hong Kong, Peoples R ChinaCity Univ Hong Kong, Shenzhen Res Inst, Shenzhen, Peoples R China
Cheung, Ho Nam
Zhou, Wen
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h-index: 0
机构:
City Univ Hong Kong, Shenzhen Res Inst, Shenzhen, Peoples R China
City Univ Hong Kong, Guy Carpenter Asia Pacific Climate Impact Ctr, Sch Energy & Environm, Kowloon, Hong Kong, Peoples R ChinaCity Univ Hong Kong, Shenzhen Res Inst, Shenzhen, Peoples R China
Zhou, Wen
Shao, Yaping
论文数: 0引用数: 0
h-index: 0
机构:
Univ Cologne, Inst Geophys & Meteorol, Cologne, GermanyCity Univ Hong Kong, Shenzhen Res Inst, Shenzhen, Peoples R China
Shao, Yaping
Chen, Wen
论文数: 0引用数: 0
h-index: 0
机构:
Chinese Acad Sci, Inst Atmospher Phys, Ctr Monsoon Syst Res, Beijing, Peoples R ChinaCity Univ Hong Kong, Shenzhen Res Inst, Shenzhen, Peoples R China
Chen, Wen
Mok, Hing Yim
论文数: 0引用数: 0
h-index: 0
机构:
Hong Kong Observ, Hong Kong, Hong Kong, Peoples R ChinaCity Univ Hong Kong, Shenzhen Res Inst, Shenzhen, Peoples R China
Mok, Hing Yim
Wu, Man Chi
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机构:
Hong Kong Observ, Hong Kong, Hong Kong, Peoples R ChinaCity Univ Hong Kong, Shenzhen Res Inst, Shenzhen, Peoples R China