GSTDTAP

浏览/检索结果: 共5条,第1-5条 帮助

已选(0)清除 条数/页:   排序方式:
Dynamic changes of the dryness/wetness characteristics in the largest river basin of South China and their possible climate driving factors 期刊论文
ATMOSPHERIC RESEARCH, 2020, 232
作者:  Wu, Jiefeng;  Tan, Xuezhi;  Chen, Xiaohong;  Lin, Kairong
收藏  |  浏览/下载:9/0  |  提交时间:2020/07/02
Dryness/wetness  Drought duration and severity  Climate extremes  Teleconnection  ENSO  Pearl River basin  
Copulas-based risk analysis for inter-seasonal combinations of wet and dry conditions under a changing climate 期刊论文
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2019, 39 (4) : 2005-2021
作者:  Fang, Wei;  Huang, Shengzhi;  Huang, Guohe;  Huang, Qiang;  Wang, Hao;  Wang, Lu;  Zhang, Ying;  Li, Pei;  Ma, Lan
收藏  |  浏览/下载:11/0  |  提交时间:2019/11/26
climate change  copula-based framework  dryness-wetness combination  dynamic risk  joint return period  
Spatiotemporal trends of dryness/wetness duration and severity: The respective contribution of precipitation and temperature 期刊论文
ATMOSPHERIC RESEARCH, 2019, 216: 176-185
作者:  Wu, Jiefeng;  Chen, Xiaohong
收藏  |  浏览/下载:5/0  |  提交时间:2019/04/09
Dryness/wetness  Duration and severity  Precipitation  Temperature  Contribution  Pearl River basin (PRB)  
Dependence of 3-month Standardized Precipitation-Evapotranspiration Index dryness/wetness sensitivity on climatological precipitation over southwest China 期刊论文
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2018, 38 (12) : 4568-4578
作者:  Sun, Shanlei;  Chen, Haishan;  Li, Jinjian;  Wei, Jiangfeng;  Wang, Guojie;  Sun, Ge;  Hua, Wenjian;  Zhou, Shujia;  Deng, Peng
收藏  |  浏览/下载:6/0  |  提交时间:2019/04/09
dryness  wetness  reference evapotranspiration  sensitivity  separation method  southwest China  
Variability of precipitation extremes and dryness/wetness over the southeast coastal region of China, 1960-2014 期刊论文
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2017, 37 (13)
作者:  Wang, Ren;  Chen, Jianyao;  Chen, Xingwei;  Wang, Yuefeng
收藏  |  浏览/下载:5/0  |  提交时间:2019/04/09
extreme precipitation  dryness  wetness  ENSO  spatiotemporal variability  coastal region  China