GSTDTAP

浏览/检索结果: 共60条,第1-10条 帮助

限定条件    
已选(0)清除 条数/页:   排序方式:
Improved Decadal Predictions of North Atlantic Subpolar Gyre SST in CMIP6 期刊论文
Geophysical Research Letters, 2020
作者:  Leonard F. Borchert;  Matthew B. Menary;  Didier Swingedouw;  Giovanni Sgubin;  Leon Hermanson;  Juliette Mignot
收藏  |  浏览/下载:9/0  |  提交时间:2020/12/07
Quantifying key mechanisms that contribute to the deviation of the tropical warming profile from a moist adiabat 期刊论文
Geophysical Research Letters, 2020
作者:  Osamu Miyawaki;  Zhihong Tan;  Tiffany Shaw;  Malte Jansen
收藏  |  浏览/下载:4/0  |  提交时间:2020/10/12
Skillful decadal prediction of droughts over large‐scale river basins across the globe 期刊论文
Geophysical Research Letters, 2020
作者:  Enda Zhu;  Xing Yuan;  Peili Wu
收藏  |  浏览/下载:5/0  |  提交时间:2020/09/08
Multi-model ensemble predictions of precipitation and temperature using machine learning algorithms 期刊论文
ATMOSPHERIC RESEARCH, 2020, 236
作者:  Ahmed, Kamal;  Sachindra, D. A.;  Shahid, Shamsuddin;  Iqbal, Zafar;  Nawaz, Nadeem;  Khan, Najeebullah
收藏  |  浏览/下载:16/0  |  提交时间:2020/07/02
General circulation models  Multi-model ensemble  Taylor skill score  Machine learning algorithms  Temperature and precipitation  Pakistan  
Assessing the Impact of Initialization on Decadal Prediction Skill 期刊论文
GEOPHYSICAL RESEARCH LETTERS, 2020, 47 (4)
作者:  Sospedra-Alfonso, Reinel;  Boer, George J.
收藏  |  浏览/下载:6/0  |  提交时间:2020/07/02
Learning algorithms allow for improved reliability and accuracy of global mean surface temperature projections 期刊论文
Nature, 2020
作者:  Ehud Strobach;  Golan Bel
收藏  |  浏览/下载:5/0  |  提交时间:2020/05/13
Towards understanding multi-model precipitation predictions from CMIP5 based on China hourly merged precipitation analysis data 期刊论文
ATMOSPHERIC RESEARCH, 2020, 231
作者:  Lv, Yanmin;  Guo, Jianping;  Yim, Steve Hung-Lam;  Yun, Yuxing;  Yin, Jinfang;  Liu, Lin;  Zhang, Yong;  Yang, Yuanjian;  Yan, Yan;  Chen, Dandan
收藏  |  浏览/下载:8/0  |  提交时间:2020/07/02
Impact of Arctic amplification on declining spring dust events in East Asia 期刊论文
CLIMATE DYNAMICS, 2019
作者:  Liu, Jun;  Wu, Dongyou;  Liu, Guangjing;  Mao, Rui;  Chen, Siyu;  Ji, Mingxia;  Fu, Pingqing;  Sun, Yele;  Pan, Xiaole;  Jin, Hongchun;  Zhou, Yubin;  Wang, Xin
收藏  |  浏览/下载:16/0  |  提交时间:2020/02/17
Dust event occurrences  Dust index  Arctic amplification  Temperature gradient  Future prediction  
Understanding the Signal-to-Noise Paradox with a Simple Markov Model 期刊论文
GEOPHYSICAL RESEARCH LETTERS, 2019, 46 (22) : 13308-13317
作者:  Zhang, Wei;  Kirtman, Ben
收藏  |  浏览/下载:8/0  |  提交时间:2020/02/17
Signal-to-noise paradox  Climate prediction  Markov model  CMIP5 models  Ensemble forecast  
Season-dependent predictability barrier for two types of El Nino revealed by an approach to data analysis for predictability 期刊论文
CLIMATE DYNAMICS, 2019, 53: 5561-5581
作者:  Hou, Meiyi;  Duan, Wansuo;  Zhi, Xiefei
收藏  |  浏览/下载:6/0  |  提交时间:2019/11/27