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| Improving the accuracy and spatial resolution of precipitable water vapor dataset using a neural network-based downscaling method 期刊论文
ATMOSPHERIC ENVIRONMENT, 2022, 卷号: 269
作者: Ma X.; Yao Y.; Zhang B.; Yang M.; Liu H.
  收藏 | 浏览/下载：31/0 | 提交时间：2022/01/18
Back propagation neural network Downscaling High resolution Precipitable water vapor |
| Simulation of surface ozone over Hebei province, China using Kolmogorov-Zurbenko and artificial neural network (KZ-ANN) combined model 期刊论文
ATMOSPHERIC ENVIRONMENT, 2021, 卷号: 261
作者: Gao S.; Bai Z.; Liang S.; Yu H.; Chen L.; Sun Y.; Mao J.; Zhang H.; Ma Z.; Azzi M.; Zhao H.
收藏 | 浏览/下载：13/0 | 提交时间：2022/01/18
ANN Hebei province KZ filter Meteorological factor Ozone Ozone precursor |
| The impacts of transported wildfire smoke aerosols on surface air quality in New York State: A multi-year study using machine learning 期刊论文
ATMOSPHERIC ENVIRONMENT, 2021, 卷号: 259
作者: Hung W.-T.; Lu C.-H.S.; Alessandrini S.; Kumar R.; Lin C.-A.
收藏 | 浏览/下载：23/0 | 提交时间：2022/01/18
Air quality Machine learning PM2.5 Smoke aerosol Vertical mixing |
| Development of a PM2.5 prediction model using a recurrent neural network algorithm for the Seoul metropolitan area, Republic of Korea 期刊论文
ATMOSPHERIC ENVIRONMENT, 2021, 卷号: 245
作者: Chang-Hoi H.; Park I.; Oh H.-R.; Gim H.-J.; Hur S.-K.; Kim J.; Choi D.-R.
收藏 | 浏览/下载：25/0 | 提交时间：2022/01/18
Air quality Artificial intelligence (AI) Community multiscale air quality (CMAQ) PM 2.5 Recurrent neural network (RNN) |
| Simulation of chemical transport model estimates by means of a neural network using meteorological data 期刊论文
ATMOSPHERIC ENVIRONMENT, 2021, 卷号: 254
作者: Vlasenko A.; Matthias V.; Callies U.
收藏 | 浏览/下载：114/0 | 提交时间：2022/01/18
Artificial intelligence Atmospheric modeling Chemical scenario forecasting Chemical transport models Ethane Neural network Nitrogen dioxide Sulfur dioxide |
| 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：8/0 | 提交时间：2022/01/18
Aerosol optical depth (AOD) Artificial neural network Gap-filled AOD PM estimation |
| Development of bias-correction PERSIANN-CDR models for the simulation and completion of precipitation time series 期刊论文
ATMOSPHERIC ENVIRONMENT, 2021, 卷号: 246
作者: Salmani-Dehaghi N.; Samani N.
收藏 | 浏览/下载：22/0 | 提交时间：2022/01/18
Bias-correction models Fars province Iran Missing precipitation data PERSIANN-CDR |
| Bias correcting and extending the PM forecast by CMAQ up to 7 days using deep convolutional neural networks 期刊论文
ATMOSPHERIC ENVIRONMENT, 2021, 卷号: 253
作者: Sayeed A.; Lops Y.; Choi Y.; Jung J.; Salman A.K.
收藏 | 浏览/下载：18/0 | 提交时间：2022/01/18
Air-quality Artificial intelligence CNN NO2 Particulate matter PM |
| Characteristics of HONO and its impact on O3 formation in the Seoul Metropolitan Area during the Korea-US Air Quality study 期刊论文
ATMOSPHERIC ENVIRONMENT, 2021, 卷号: 247
作者: Gil J.; Kim J.; Lee M.; Lee G.; Ahn J.; Lee D.S.; Jung J.; Cho S.; Whitehill A.; Szykman J.; Lee J.
收藏 | 浏览/下载：27/0 | 提交时间：2022/01/18
Artificial neural network F0AM Formation mechansim HONO QC-TILDAS |
| Estimating ground-level PM2.5 using micro-satellite images by a convolutional neural network and random forest approach 期刊论文
ATMOSPHERIC ENVIRONMENT, 2020, 卷号: 230
作者: Zheng T.; Bergin M.H.; Hu S.; Miller J.; Carlson D.E.
收藏 | 浏览/下载：21/0 | 提交时间：2022/01/18
CNN Computer vision Convolutional neural network Fine particulate matter (PM2.5) prediction Random forest RF Satellite imagery |
