GSTDTAP

浏览/检索结果: 共25条,第1-10条 帮助

限定条件                            
已选(0)清除 条数/页:   排序方式:
Error analysis and correction of the daily GSMaP products over Hanjiang River Basin of China 期刊论文
ATMOSPHERIC RESEARCH, 2018, 214: 121-134
作者:  Deng, Pengxin;  Zhang, Mingyue;  Guo, Haijin;  Xu, Changjiang;  Bing, Jianping;  Jia, Jianwei
收藏  |  浏览/下载:11/0  |  提交时间:2019/04/09
GSMaP Products  Error Analysis and Correction  Satellite precipitation Products  Precipitation correction  Hanjiang River Basin  
Responses of the hydrological regime to variations in meteorological factors under climate change of the Tibetan plateau 期刊论文
ATMOSPHERIC RESEARCH, 2018, 214: 296-310
作者:  Zhong, Ruida;  He, Yanhu;  Chen, Xiaohong
收藏  |  浏览/下载:6/0  |  提交时间:2019/04/09
Climate change  Meteorological factor  Response of hydrology  GCM  Tibetan plateau  Lancang River basin  
Spatiotemporal analysis of precipitation variability in annual, seasonal and extreme values over upper Indus River basin 期刊论文
ATMOSPHERIC RESEARCH, 2018, 213: 346-360
作者:  Ahmad, Ijaz;  Zhang, Fan;  Tayyab, Muhammad;  Anjum, Muhammad Naveed;  Zaman, Muhammad;  Liu, Junguo;  Farid, Hafiz Umar;  Saddique, Qaisar
收藏  |  浏览/下载:5/0  |  提交时间:2019/04/09
Trend analysis  ITA  Mann-Kendall  Precipitation  Indus River basin  
Analysis of precipitation characteristics on the loess plateau between 1965 and 2014, based on high-density gauge observations 期刊论文
ATMOSPHERIC RESEARCH, 2018, 213: 264-274
作者:  Tang, Xu;  Miao, Chiyuan;  Xi, Yang;  Duan, Qingyun;  Lei, Xiaohui;  Li, Hu
收藏  |  浏览/下载:6/0  |  提交时间:2019/04/09
Interannual variability  Loess plateau  Precipitation  Variance decomposition  
Temporal and spatial evaluation of satellite rainfall estimates over different regions in Latin-America 期刊论文
ATMOSPHERIC RESEARCH, 2018, 213: 34-50
作者:  Manuel Baez-Villanueva, Oscar;  Zambrano-Bigiarini, Mauricio;  Ribbe, Lars;  Nauditt, Alexandra;  Diego Giraldo-Osorio, Juan;  Nguyen Xuan Thinh
收藏  |  浏览/下载:4/0  |  提交时间:2019/04/09
CHIRPSv2  MSWEPv2  Precipitation  Satellite  Upscaling influence  Validation of SREs  
Secular variation of rainfall regime in the central region of Argentina 期刊论文
ATMOSPHERIC RESEARCH, 2018, 213: 196-210
作者:  de La Casa, Antonio C.;  Ovando, Gustavo G.;  Diaz, Guillermo J.
收藏  |  浏览/下载:2/0  |  提交时间:2019/04/09
Rainfall regime  Climate change  Trend  Linear model  Periodic model  
Analysis of long term drought severity characteristics and trends across semiarid Botswana using two drought indices 期刊论文
ATMOSPHERIC RESEARCH, 2018, 213: 492-508
作者:  Byakatonda, Jimmy;  Parida, B. P.;  Moalafhi, D. B.;  Kenabatho, Piet K.
收藏  |  浏览/下载:4/0  |  提交时间:2019/04/09
El Nino  Mann-Kendall Z-statistic  Spearman'  s rank correlation  Standardized precipitation index  Standardized precipitation and  evapotranspiration index  Trend analysis  
Evaluation and analysis of temperature for historical (1996-2015) and projected (2030-2060) climates in Pakistan using SimCLIM climate model: Ensemble application 期刊论文
ATMOSPHERIC RESEARCH, 2018, 213: 422-436
作者:  Amin, Asad;  Nasim, Wajid;  Fahad, Shah;  Ali, Shaukat;  Ahmad, Shakeel;  Rasool, Atta;  Saleem, Nadia;  Hammad, Hafiz Mohkum;  Sultana, Syeda Refat;  Mubeen, Muhammad;  Bakhat, Hafiz Faiq;  Ahmad, Naveed;  Shah, Ghulam Mustafa;  Adnan, Muhammad;  Noor, Muhammad;  Basir, Abdul;  Saud, Shah;  Rahman, Muhammad Habib Ur;  Paz, Joel O.
收藏  |  浏览/下载:10/0  |  提交时间:2019/04/09
Pakistan  Representative concentration pathway  Climate trends  Mann-Kendall  Climate model  
Trends in temperature extremes and their association with circulation patterns in China during 1961-2015 期刊论文
ATMOSPHERIC RESEARCH, 2018, 212: 259-272
作者:  Shi, Jun;  Cui, Linli;  Ma, Yue;  Du, Huaqiang;  Wen, Kangmin
收藏  |  浏览/下载:8/0  |  提交时间:2019/04/09
Temperature extremes  Temporal variations  Spatial trends  Circulation patterns  China  
Statistical downscaling of precipitation using machine learning techniques 期刊论文
ATMOSPHERIC RESEARCH, 2018, 212: 240-258
作者:  Sachindra, D. A.;  Ahmed, K.;  Rashid, Md. Mamunur;  Shahid, S.;  Perera, B. J. C.
收藏  |  浏览/下载:6/0  |  提交时间:2019/04/09
Statistical downscaling  Machine learning  Precipitation  Australia  Floods  Droughts