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Changes in consecutive dry/wet days and their relationships with local and remote climate drivers in the coastal area of China 期刊论文
ATMOSPHERIC RESEARCH, 2021, 卷号: 247, 页码: 12
作者:  Wang, Xiaoli;  Hou, Xiyong;  Zhao, Yijing
浏览  |  Adobe PDF(2697Kb)  |  收藏  |  浏览/下载：560/229  |  提交时间：2021/06/07
Consecutive dry days  Consecutive wet days  Spatial pattern  Climate driver  Trend-free pre-whitening  Coastal area of China  
Relating anomalous large-scale atmospheric circulation patterns to temperature and precipitation anomalies in the East Asian monsoon region 期刊论文
ATMOSPHERIC RESEARCH, 2020, 卷号: 232, 页码: UNSP 104679
作者:  Yang, Y;  Gao, M;  Xie, NR;  Gao, ZQ
浏览  |  Adobe PDF(9761Kb)  |  收藏  |  浏览/下载：597/267  |  提交时间：2020/07/08
Atmospheric circulation patterns  Self-organizing map  Temperature and precipitation anomalies  East Asian Monsoon  
SOM-based synoptic analysis of atmospheric circulation patterns and temperature anomalies in China 期刊论文
ATMOSPHERIC RESEARCH, 2019, 卷号: 220, 页码: 46-56
作者:  Gao, M;  Yang, Y;  Shi, HH;  Gao, ZQ
浏览  |  Adobe PDF(5056Kb)  |  收藏  |  浏览/下载：589/285  |  提交时间：2020/07/08
Atmospheric circulation  Self-organizing map  Temperature anomaly  Quantitative partition  Teleconnection  
Nonstationary modeling of extreme precipitation in China 期刊论文
ATMOSPHERIC RESEARCH, 2016, 卷号: 182, 页码: 1-9
作者:  Gao, M;  Mo, DY;  Wu, XQ;  Gao, M (reprint author), Chinese Acad Sci, Yantai Inst Coastal Zone Res, Key Lab Coastal Environm Proc & Ecol Remediat, Yantai 264003, Peoples R China. Email:mgao@yic.ac.cn
Adobe PDF(2027Kb)  |  收藏  |  浏览/下载：907/403  |  提交时间：2016/12/18
Precipitation Extreme  Stationarity  Trend  Gev Distribution  Return Level  
Characteristics of organic and elemental carbon in PM2.5 samples in Shanghai, China 期刊论文
ATMOSPHERIC RESEARCH, 2009, 卷号: 92, 期号: 4, 页码: 434-442
作者:  Feng, Yanli;  Chen, Yingjun;  Guo, Hui;  Zhi, Guorui;  Xiong, Shengchun;  Li, Jun;  Sheng, Guoying;  Fu, Jiamo
Adobe PDF(636Kb)  |  收藏  |  浏览/下载：2102/870  |  提交时间：2011/07/05
Organic Carbon  Elemental Carbon  Fine Particle (Pm2.5)  Seasonal Variation  Shanghai