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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  
Dynamic spatial-temporal precipitation distribution models for short-duration rainstorms in Shenzhen, China based on machine learning 期刊论文
ATMOSPHERIC RESEARCH, 2020, 237
作者:  Liu, Yuan-Yuan;  Li, Lei;  Liu, Ye-Sen;  Chan, Pak Wai;  Zhang, Wen-Hai
收藏  |  浏览/下载：9/0  |  提交时间：2020/07/02
Short-duration rainstorm  Machine learning  Locally linear embedding method  Dynamic spatial-temporal distribution  Shenzhen  
Ordinal regression algorithms for the analysis of convective situations over Madrid-Barajas airport 期刊论文
ATMOSPHERIC RESEARCH, 2020, 236
作者:  Guijo-Rubio, D.;  Casanova-Mateo, C.;  Sanz-Justo, J.;  Gutierrez, P. A.;  Cornejo-Bueno, S.;  Hervas, C.;  Salcedo-Sanz, S.
收藏  |  浏览/下载：7/0  |  提交时间：2020/07/02
Convective clouds  Convective analysis  Airports  Machine learning techniques  Ordinal regression  
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  
Application of machine learning to large hail prediction - The importance of radar reflectivity, lightning occurrence and convective parameters derived from ERA5 期刊论文
ATMOSPHERIC RESEARCH, 2019, 227: 249-262
作者:  Czernecki, Bartosz;  Taszarek, Mateusz;  Marosz, Michal;  Polrolniczak, Marek;  Kolendowicz, Leszek;  Wyszogrodzki, Andrzej;  Szturc, Jan
收藏  |  浏览/下载：8/0  |  提交时间：2019/11/27
Large hail  Forecasting  Thunderstorm  Machine learning  ERAS  EUCLID  ESWD  
Rapid identification of rainstorm disaster risks based on an artificial intelligence technology using the 2DPCA method 期刊论文
ATMOSPHERIC RESEARCH, 2019, 227: 157-164
作者:  Liu, Yuan-yuan;  Li, Lei;  Zhang, Wen-hai;  Chan, Pak-wai;  Liu, Ye-sen
收藏  |  浏览/下载：8/0  |  提交时间：2019/11/27
Rainstorm  Risk identification  Artificial intelligence  Machine learning  2DPCA  
Multi-stage hybridized online sequential extreme learning machine integrated with Markov Chain Monte Carlo copula-Bat algorithm for rainfall forecasting 期刊论文
ATMOSPHERIC RESEARCH, 2018, 213: 450-464
作者:  Ali, Mumtaz;  Deo, Ravinesh C.;  Downs, Nathan J.;  Maraseni, Tek
收藏  |  浏览/下载：7/0  |  提交时间：2019/04/09
Rainfall forecasting  Markov chain Monte Carlo simulation  Copulas  Bat algorithm  OS-ELM  ELM  And RF  
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