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| A CatBoost approach with wavelet decomposition to improve satellite-derived high-resolution PM2.5 estimates in Beijing-Tianjin-Hebei 期刊论文
ATMOSPHERIC ENVIRONMENT, 2021, 卷号: 249
作者: Ding Y.; Chen Z.; Lu W.; Wang X.
  收藏 | 浏览/下载：35/0 | 提交时间：2022/01/18
AOD Beijing-Tianjin-Hebei CatBoost PM2.5 Remote sensing Wavelet decomposition |
| A model framework to reduce bias in ground-level PM2.5 concentrations inferred from satellite-retrieved AOD 期刊论文
ATMOSPHERIC ENVIRONMENT, 2021, 卷号: 248
作者: Yao F.; Palmer P.I.
收藏 | 浏览/下载：23/0 | 提交时间：2022/01/18
AOD Machine learning Model of atmospheric chemistry and transport PM2.5 Statistical regression |
| 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：26/0 | 提交时间：2022/01/18
BenMAP High-resolution PM2.5 Machine learning MODIS AOD Remote sensing Texas |
| Comparison of SCIPUFF predictions to SO2 measurements from instruments on the MetOp-A, MetOp-B, Aura and Suomi satellites from the 2016 fire at Al-Mishraq 期刊论文
ATMOSPHERIC ENVIRONMENT, 2021, 卷号: 245
作者: Bradley S.; Franco M.; Hanna S.; Howard J.; Meris R.; Mazzola T.; Pate B.
收藏 | 浏览/下载：122/0 | 提交时间：2022/01/18
Al-Mishraq Column density Evaluation Fire HPAC Satellite SCIPUFF SO2 Sulfur Sulfur dioxide Transport and dispersion Uncertainties Validation |
| Improving estimates of PM2.5 concentration and chemical composition by application of High Spectral Resolution Lidar (HSRL) and Creating Aerosol Types from chemistry (CATCH) algorithm 期刊论文
ATMOSPHERIC ENVIRONMENT, 2021, 卷号: 250
作者: Meskhidze N.; Sutherland B.; Ling X.; Dawson K.; Johnson M.S.; Henderson B.; Hostetler C.A.; Ferrare R.A.
收藏 | 浏览/下载：27/0 | 提交时间：2022/01/18
Aerosol chemical composition AQS CATCH CMAQ HSRL PM2.5 |
| Prediction of PM2.5 daily concentrations for grid points throughout a vast area using remote sensing data and an improved dynamic spatial panel model 期刊论文
ATMOSPHERIC ENVIRONMENT, 2020, 卷号: 237
作者: Fu M.; Kelly J.A.; Clinch J.P.
收藏 | 浏览/下载：27/0 | 提交时间：2022/01/18
Dynamic spatial panel model Out-of-sample prediction PM2.5 concentration Remote sensing Temporal-spatial correlation |
| Assessment of contribution of agricultural residue burning on air quality of Delhi using remote sensing and modelling tools 期刊论文
ATMOSPHERIC ENVIRONMENT, 2020, 卷号: 230
作者: Nair M.; Bherwani H.; Kumar S.; Gulia S.; Goyal S.; Kumar R.
收藏 | 浏览/下载：11/0 | 提交时间：2022/01/18
Aerosol optical depth Aerosol robotic network Aerosols Cloud-aerosol lidar with orthogonal polarization Hybrid single particle Lagrangian integrated trajectory model Navy aerosol analysis and prediction system Stubble burning |
| Integrating low-cost air quality sensor networks with fixed and satellite monitoring systems to study ground-level PM2.5 期刊论文
ATMOSPHERIC ENVIRONMENT, 2020, 卷号: 223
作者: Li J.; Zhang H.; Chao C.-Y.; Chien C.-H.; Wu C.-Y.; Luo C.H.; Chen L.-J.; Biswas P.
收藏 | 浏览/下载：33/0 | 提交时间：2022/01/18
Ground measurement Low-cost sensor Particulate matter Pollution mapping Remote sensing |
| A long short-term memory approach to predicting air quality based on social media data 期刊论文
ATMOSPHERIC ENVIRONMENT, 2020, 卷号: 237
作者: Zhai W.; Cheng C.
收藏 | 浏览/下载：23/0 | 提交时间：2022/01/18
2015 China Victory day parade Air quality prediction LSTM Social media |
| Comparison and complementary use of in situ and remote sensing aerosol measurements in the Athens Metropolitan Area 期刊论文
ATMOSPHERIC ENVIRONMENT, 2020, 卷号: 228
作者: Vratolis S.; Fetfatzis P.; Argyrouli A.; Soupiona O.; Mylonaki M.; Maroufidis J.; Kalogridis A.-C.; Manousakas M.; Bezantakos S.; Binietoglou I.; Labzovskii L.D.; Solomos S.; Papayannis A.; Močnik G.; O’ Connor E.; Müller D.; Tzanis C.G.; Eleftheriadis K.
收藏 | 浏览/下载：30/0 | 提交时间：2022/01/18
Aerosol mixing in the vertical In situ — Remote sensing comparison Regional aerosol addition to local aerosol |
