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| Improvement of PM2.5 forecast over China by the joint adjustment of initial conditions and emissions with the NLS-4DVar method 期刊论文 ATMOSPHERIC ENVIRONMENT, 2022, 卷号: 271 作者: Zhang S.; Tian X.; Han X.; Zhang M.; Zhang H.; Mao H. 收藏  |  浏览/下载:42/0  |  提交时间:2022/01/18 Air quality forecast Data assimilation NLS-4DVar method WRF-CMAQ model |
| Improvement of PM2.5 forecast over China by the joint adjustment of initial conditions and emissions with the NLS-4DVar method 期刊论文 ATMOSPHERIC ENVIRONMENT, 2022, 卷号: 271 作者: Zhang, Shan; Tian, Xiangjun; Han, Xiao; Zhang, Meigen; Zhang, Hongqin; Mao, Huiqin 收藏  |  浏览/下载:27/0  |  提交时间:2022/06/21 VARIATIONAL DATA ASSIMILATION ENSEMBLE KALMAN FILTER QUALITY MODELING CMAQ AEROSOL EMISSIONS WEATHER RESEARCH SYSTEM PM10 IMPROVEMENT INVENTORY OZONE |
| Modelling chemistry and transport in urban street canyons: Comparing offline multi-box models with large-eddy simulation 期刊论文 ATMOSPHERIC ENVIRONMENT, 2021, 卷号: 264 作者: Dai Y.; Cai X.; Zhong J.; MacKenzie A.R. 收藏  |  浏览/下载:16/0  |  提交时间:2022/01/18 Air quality Box models Nitrogen dioxide Ozone Street canyon Urban air pollution |
| VOC emissions from two-layer building and vehicle cabin materials: Measurements and independent validation 期刊论文 ATMOSPHERIC ENVIRONMENT, 2021, 卷号: 267 作者: Wang H.; Tong L.; Wang H.; Tan Y.; Zhang R.; Zhang M.; Wang Y.; Ji W.; Wang K.; Hu X.; Xiong J. 收藏  |  浏览/下载:26/0  |  提交时间:2022/01/18 Indoor air quality Mass transfer Two-layer emission Volatile organic compounds (VOCs) |
| Estimation of ground-level particulate matter concentrations based on synergistic use of MODIS, MERRA-2 and AERONET AODs over a coastal site in the Eastern Mediterranean 期刊论文 ATMOSPHERIC ENVIRONMENT, 2021, 卷号: 261 作者: Tuna Tuygun G.; Gündoğdu S.; Elbir T. 收藏  |  浏览/下载:7/0  |  提交时间:2022/01/18 Aerosol optical depth (AOD) Artificial neural network Gap-filled AOD PM estimation |
| Assessment of outdoor odor emissions from polluted sites using simultaneous thermal desorption-gas chromatography-mass spectrometry (TD-GC-MS), electronic nose in conjunction with advanced multivariate statistical approaches 期刊论文 ATMOSPHERIC ENVIRONMENT, 2021, 卷号: 256 作者: Moufid M.; Bouchikhi B.; Tiebe C.; Bartholmai M.; El Bari N. 收藏  |  浏览/下载:21/0  |  提交时间:2022/01/18 Electronic nose Multivariate analysis Outdoor odor emissions PLS regression TD-GC-MS |
| A multi-meteorological comparison for episodes of PM10 concentrations in the Berlin agglomeration area in Germany with the LOTOS-EUROS CTM 期刊论文 ATMOSPHERIC ENVIRONMENT, 2021, 卷号: 244 作者: Thürkow M.; Kirchner I.; Kranenburg R.; Timmermans R.M.A.; Schaap M. 收藏  |  浏览/下载:26/0  |  提交时间:2022/01/18 Composition of PM COSMO-CLM LOTOS-EUROS Particulate matter Planetary boundary layer |
| A microscale hybrid modelling system to assess the air quality over a large portion of a large European city 期刊论文 ATMOSPHERIC ENVIRONMENT, 2021, 卷号: 264 作者: Barbero D.; Tinarelli G.; Silibello C.; Nanni A.; Gariazzo C.; Stafoggia M.; Viegi G.; Ancona C.; Angelini P.; Argentini S.; Baldacci S.; Bisceglia L.; Bonafede M.; Bonomo S.; Bonvicini L.; Broccoli S.; Brusasca G.; Bucci S.; Calori G.; Carlino G.; Cernigliaro A.; Chieti A.; Colacci A.; de’ Donato F.; Demaria M.; Fasola S.; Finardi S.; Forastiere F.; Galassi C.; Rossi P.G.; La Grutta S.; Licitra G.; Maio S.; Marinaccio A.; Michelozzi P.; Migliore E.; Moro A.; Ottone M.; Parmagnani F.; Pepe N.; Radice P.; Ranzi A.; Renzi M.; Scondotto S.; Scortichini M.; Sozzi R.; Uboldi F.; Zengarini N.; BEEP Collaborative Group 收藏  |  浏览/下载:23/0  |  提交时间:2022/01/18 Air quality modelling FARM (Flexible Air quality Regional Model) Kernel Micro-scale Multi-model approach PMSS (Parallel Micro Swift Spray) Urban air pollution dispersion |
| Simulating nuclear cloud rise within a realistic atmosphere using the Weather Research and Forecasting model 期刊论文 ATMOSPHERIC ENVIRONMENT, 2021, 卷号: 254 作者: Arthur R.S.; Lundquist K.A.; Mirocha J.D.; Neuscamman S.; Kanarska Y.; Nasstrom J.S. 收藏  |  浏览/下载:10/0  |  提交时间:2022/01/18 Large-eddy simulation Multiscale simulation Nuclear cloud rise Self-induced rainout Weather Research and Forecasting model |
| Estimating daily high-resolution PM2.5 concentrations over Texas: Machine Learning approach 期刊论文 ATMOSPHERIC ENVIRONMENT, 2021, 卷号: 247 作者: Ghahremanloo M.; Choi Y.; Sayeed A.; Salman A.K.; Pan S.; Amani M. 收藏  |  浏览/下载:23/0  |  提交时间:2022/01/18 BenMAP High-resolution PM2.5 Machine learning MODIS AOD Remote sensing Texas |