Warming over the North Pacific can intensify snow events in Northeast China
被引:20
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作者:
Feng Ye
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机构:
Chinese Acad Sci, Inst Atmospher Phys, Nansen Zhu Int Res Ctr, Beijing, Peoples R China
Chinese Acad Sci, Coll Earth Sci, Grad Univ, Beijing, Peoples R ChinaChinese Acad Sci, Inst Atmospher Phys, Nansen Zhu Int Res Ctr, Beijing, Peoples R China
Feng Ye
[1
,3
]
Chen Huo-Po
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机构:
Chinese Acad Sci, Inst Atmospher Phys, Nansen Zhu Int Res Ctr, Beijing, Peoples R China
Nanjing Univ Informat Sci & Technol, Collaborat Innovat Ctr Forecast & Evaluat Meteoro, Nanjing, Jiangsu, Peoples R ChinaChinese Acad Sci, Inst Atmospher Phys, Nansen Zhu Int Res Ctr, Beijing, Peoples R China
Chen Huo-Po
[1
,2
]
机构:
[1] Chinese Acad Sci, Inst Atmospher Phys, Nansen Zhu Int Res Ctr, Beijing, Peoples R China
[2] Nanjing Univ Informat Sci & Technol, Collaborat Innovat Ctr Forecast & Evaluat Meteoro, Nanjing, Jiangsu, Peoples R China
[3] Chinese Acad Sci, Coll Earth Sci, Grad Univ, Beijing, Peoples R China
The variation of winter snowfall intensity over Northeast China and its relationship with the autumn North Pacific SST are investigated for the period 1960-2012. An upward trend is apparent for the winter snowfall intensity over Northeast China during the last half-century, coinciding with an increasing autumn SST over the North Pacific. Their interannual correlation coefficient reaches up to 0.58 for the past five decades, and 0.42 after their trends are removed. Further analyses indicate that the warming SST during autumn may persist into winter. Correspondingly, large parts of East Asia and the North Pacific are dominated by an anticyclonic anomaly, which can induce an anomalous southeasterly over Northeast China, weaken the northerly wind, then warm the surface, increase the water vapor content and intensify snowfall events. Thus, the autumn North Pacific SST can be considered as a key predictor for winter snowfall events over Northeast China. Results from leave-one-out cross-validation and independent validation both show a significant correlation and a small RMSE between prediction and observation. Therefore, the autumn SST over the North Pacific is suggested as a potential predictor for winter snowfall intensity in Northeast China.
机构:
Nansen-Zhu International Research Center,Institute of Atmospheric Physics,Chinese Academy of Sciences
College of Earth Science,Graduate University of Chinese Academy of SciencesNansen-Zhu International Research Center,Institute of Atmospheric Physics,Chinese Academy of Sciences
FENG Ye
CHEN Huo-Po
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机构:
Nansen-Zhu International Research Center,Institute of Atmospheric Physics,Chinese Academy of Sciences
Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters,Nanjing University of Information Science & TechnologyNansen-Zhu International Research Center,Institute of Atmospheric Physics,Chinese Academy of Sciences
机构:
Nansen-Zhu International Research Center,Institute of Atmospheric Physics,Chinese Academy of Sciences
College of Earth Science,Graduate University of Chinese Academy of SciencesNansen-Zhu International Research Center,Institute of Atmospheric Physics,Chinese Academy of Sciences
LI Hui-Xin
CHEN Huo-Po
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机构:
Nansen-Zhu International Research Center,Institute of Atmospheric Physics,Chinese Academy of Sciences
Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters,Nanjing University of Information Science & TechnologyNansen-Zhu International Research Center,Institute of Atmospheric Physics,Chinese Academy of Sciences
CHEN Huo-Po
WANG Hui-Jun
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机构:
lntemational Joint Laboratory on Climate and Environment Change
Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters,Nanjing University of Information Science & Technology
Nansen-Zhu International Research Center,Institute of Atmospheric Physics,Chinese Academy of Sciences
Climate Change Research Center,Chinese Academy of SciencesNansen-Zhu International Research Center,Institute of Atmospheric Physics,Chinese Academy of Sciences
机构:Pohang Univ Sci & Technol, Div Environm Sci & Engn, Pohang, South Korea
Park, Doo-Sun R.
Cha, Dong-Hyun
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机构:
Ulsan Natl Inst Sci & Technol, Dept Civil Urban Earth & Environm Engn, Ulsan, South KoreaPohang Univ Sci & Technol, Div Environm Sci & Engn, Pohang, South Korea
Cha, Dong-Hyun
Byun, Young-Hwa
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机构:
Korea Meteorol Adm, Natl Inst Meteorol Sci, Climate Change Res Team, Seogwipo, South KoreaPohang Univ Sci & Technol, Div Environm Sci & Engn, Pohang, South Korea
Byun, Young-Hwa
Heo, Junghwa
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机构:
Kyungpook Natl Univ, Dept Earth Sci Educ, Daegu, South KoreaPohang Univ Sci & Technol, Div Environm Sci & Engn, Pohang, South Korea
机构:
Univ Hawaii Manoa, Int Pacific Res Ctr, Honolulu, HI 96822 USAUniv Hawaii Manoa, Int Pacific Res Ctr, Honolulu, HI 96822 USA
Xiang, Baoqiang
Wang, Bin
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机构:
Univ Hawaii Manoa, Int Pacific Res Ctr, Honolulu, HI 96822 USA
Univ Hawaii Manoa, Dept Meteorol, Honolulu, HI 96822 USAUniv Hawaii Manoa, Int Pacific Res Ctr, Honolulu, HI 96822 USA
Wang, Bin
Yu, Weidong
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机构:
State Ocean Adm, Inst Oceanog 1, Ctr Ocean & Climate Res, Qingdao, Peoples R ChinaUniv Hawaii Manoa, Int Pacific Res Ctr, Honolulu, HI 96822 USA
Yu, Weidong
Xu, Shibin
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机构:
Univ Hawaii Manoa, Int Pacific Res Ctr, Honolulu, HI 96822 USA
Ocean Univ China, Phys Oceanog Lab, Qingdao, Peoples R ChinaUniv Hawaii Manoa, Int Pacific Res Ctr, Honolulu, HI 96822 USA