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Land-atmosphere interaction over the Indo-China Peninsula during spring and its effect on the following summer climate over the Yangtze River basin 期刊论文
CLIMATE DYNAMICS, 2019, 53: 6181-6198
作者:  Gao, Chujie;  Chen, Haishan;  Li, Gen;  Ma, Hedi;  Li, Xinyu;  Long, Shangmin;  Xu, Bei;  Li, Xing;  Zeng, Xinmin;  Yan, Hong;  Wang, Ziqian;  Yang, Song
收藏  |  浏览/下载：11/0  |  提交时间：2019/11/27
Soil moisture  Indo-China Peninsula  Land-atmosphere interaction  East Asian summer monsoon  Yangtze River basin  Meiyu front  
Dominant Modes of China Summer Heat Waves Driven by Global Sea Surface Temperature and Atmospheric Internal Variability 期刊论文
JOURNAL OF CLIMATE, 2019, 32 (12) : 3761-3775
作者:  Deng, Kaiqiang;  Yang, Song;  Ting, Mingfang;  Zhao, Ping;  Wang, Zunya
收藏  |  浏览/下载：8/0  |  提交时间：2019/11/26
Stationary waves  Teleconnections  Surface temperature  Interannual variability  Interdecadal variability  Multidecadal variability  
Homogenization of Monthly Ground Surface Temperature in China during 1961-2016 and Performances of GLDAS Reanalysis Products 期刊论文
JOURNAL OF CLIMATE, 2019, 32 (4) : 1121-1135
作者:  Xu, Wenhui;  Sun, Chenghu;  Zuo, Jingqing;  Ma, Zhuguo;  Li, Weijing;  Yang, Song
收藏  |  浏览/下载：7/0  |  提交时间：2019/04/09
Climate change  Automatic weather stations  Data quality control  Surface observations  Changepoint analysis  
The Instantaneous Retrieval of Precipitation Over Land by Temporal Variation at 19GHz 期刊论文
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2018, 123 (17) : 9279-9295
作者:  You, Yalei;  Peters-Lidard, Christa;  Wang, Nai-Yu;  Turk, Joseph;  Ringerud, Sarah;  Yang, Song;  Ferraro, Ralph
收藏  |  浏览/下载：5/0  |  提交时间：2019/04/09
precipitation retrieval  TB temporal variation  satellite constellation  
Increased Frequency of Summer Extreme Heat Waves over Texas Area Tied to the Amplification of Pacific Zonal SST Gradient 期刊论文
JOURNAL OF CLIMATE, 2018, 31 (14) : 5629-5647
作者:  Deng, Kaiqiang;  Ting, Mingfang;  Yang, Song;  Tan, Yaheng
收藏  |  浏览/下载：5/0  |  提交时间：2019/04/09
ENSO  Rossby waves  Extreme events  Seasonal variability