中文版 | English

在结果中检索

GSTDTAP

浏览/检索结果: 共4条，第1-4条 帮助

限定条件                        
已选(0)清除 条数/页：   排序方式：
Spatio-temporal variation of reference evapotranspiration in northwest China based on CORDEX-EA 期刊论文
ATMOSPHERIC RESEARCH, 2020, 238
作者:  Yang, Linshan;  Feng, Qi;  Adamowski, Jan F.;  Yin, Zhenliang;  Wen, Xiaohu;  Wu, Min;  Jia, Bing;  Hao, Qiang
收藏  |  浏览/下载：13/0  |  提交时间：2020/08/18
CORDEX-EA  Reference evapotranspiration  Machine learning algorithm  Northwest China  
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  
Spatial mapping of the provenance of storm dust: Application of data mining and ensemble modelling 期刊论文
ATMOSPHERIC RESEARCH, 2020, 233
作者:  Gholami, Hamid;  Mohamadifar, Aliakbar;  Collins, Adrian L.
收藏  |  浏览/下载：5/0  |  提交时间：2020/07/02
Dust provenance  Spatial modelling  Data mining algorithms  Multicollinearity  Receiver operating characteristic  Ensemble modelling  R software  
Physical-empirical models for prediction of seasonal rainfall extremes of Peninsular Malaysia 期刊论文
ATMOSPHERIC RESEARCH, 2020, 233
作者:  Pour, Sahar Hadi;  Abd Wahab, Ahmad Khairi;  Shahid, Shamsuddin
收藏  |  浏览/下载：11/0  |  提交时间：2020/07/02
Extreme rainfall  Climate forecasting  Physical-empirical model  Machine learning algorithm  Recursive feature elimination