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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  
A MCDM-based framework for selection of general circulation models and projection of spatio-temporal rainfall changes: A case study of Nigeria 期刊论文
ATMOSPHERIC RESEARCH, 2019, 225: 1-16
作者:  Shiru, Mohammed Sanusi;  Shahid, Shamsuddin;  Chung, Eun-Sung;  Alias, Noraliani;  Scherer, Laura
收藏  |  浏览/下载：14/0  |  提交时间：2019/11/27
Feature selection method  General circulation model  Information entropy  Statistical downscaling  Random forest  
Selection of climate models for projection of spatiotemporal changes in temperature of Iraq with uncertainties 期刊论文
ATMOSPHERIC RESEARCH, 2018, 213: 509-522
作者:  Salman, Saleem A.;  Shahid, Shamsuddin;  Ismail, Tarmizi;  Ahmed, Kamal;  Wang, Xiao-Jun
收藏  |  浏览/下载：6/0  |  提交时间：2019/04/09
Temperature  Global circulation models  Systematic uncertainty  Representative concentration pathways  Quantile regression  Iraq