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Improving the prediction of an atmospheric chemistry transport model using gradient-boosted regression trees 期刊论文
ATMOSPHERIC CHEMISTRY AND PHYSICS, 2020, 20 (13) : 8063-8082
作者:  Ivatt, Peter D.;  Evans, Mathew J.
收藏  |  浏览/下载：11/0  |  提交时间：2020/07/21
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  
Developing a novel hybrid model for the estimation of surface 8 h ozone (O-3) across the remote Tibetan Plateau during 2005-2018 期刊论文
ATMOSPHERIC CHEMISTRY AND PHYSICS, 2020, 20 (10) : 6159-6175
作者:  Li, Rui;  Zhao, Yilong;  Zhou, Wenhui;  Meng, Ya;  Zhang, Ziyu;  Fu, Hongbo
收藏  |  浏览/下载：10/0  |  提交时间：2020/06/01
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  
Stratocumulus cloud clearings: statistics from satellites, reanalysis models, and airborne measurements 期刊论文
ATMOSPHERIC CHEMISTRY AND PHYSICS, 2020, 20 (8) : 4637-4665
作者:  Dadashazar, Hossein;  Crosbie, Ewan;  Majdi, Mohammad S.;  Panahi, Milad;  Moghaddam, Mohammad A.;  Behrangi, Ali;  Brunke, Michael;  Zeng, Xubin;  Jonsson, Haflidi H.;  Sorooshian, Armin
收藏  |  浏览/下载：8/0  |  提交时间：2020/05/13
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  
A machine learning examination of hydroxyl radical differences among model simulations for CCMI-1 期刊论文
ATMOSPHERIC CHEMISTRY AND PHYSICS, 2020, 20 (3) : 1341-1361
作者:  Nicely, Julie M.;  Duncan, Bryan N.;  Hanisco, Thomas F.;  Wolfe, Glenn M.;  Salawitch, Ross J.;  Deushi, Makoto;  Haslerud, Amund S.;  Joeckel, Patrick;  Josse, Beatrice;  Kinnison, Douglas E.;  Klekociuk, Andrew;  Manyin, Michael E.;  Marecal, Virginie;  Morgenstern, Olaf;  Murray, Lee T.;  Myhre, Gunnar;  Oman, Luke D.;  Pitari, Giovanni;  Pozzer, Andrea;  Quaglia, Ilaria;  Revell, Laura E.;  Rozanov, Eugene;  Stenke, Andrea;  Stone, Kane;  Strahan, Susan;  Tames, Simone;  Tost, Holger;  Westervelt, Daniel M.;  Zeng, Guang
收藏  |  浏览/下载：21/0  |  提交时间：2020/07/02
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  
Assessing the impact of clean air action on air quality trends in Beijing using a machine learning technique 期刊论文
ATMOSPHERIC CHEMISTRY AND PHYSICS, 2019, 19 (17) : 11303-11314
作者:  Vu, Tuan V.;  Shi, Zongbo;  Cheng, Jing;  Zhang, Qiang;  He, Kebin;  Wang, Shuxiao;  Harrison, Roy M.
收藏  |  浏览/下载：10/0  |  提交时间：2019/11/27