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| Site representativity of AERONET and GAW remotely sensed aerosol optical thickness and absorbing aerosol optical thickness observations 期刊论文
, 2020, 卷号: 20, 期号: 12
作者: Schutgens N.A.J.
  收藏 | 浏览/下载：19/0 | 提交时间：2020/07/28
absorption AERONET aerosol property optical property remote sensing |
| Reducing uncertainties in satellite estimates of aerosol-cloud interactions over the subtropical ocean by integrating vertically resolved aerosol observations 期刊论文
, 2020, 卷号: 20, 期号: 12
作者: Painemal D.; Painemal D.; Chang F.-L.; Chang F.-L.; Ferrare R.; Burton S.; Li Z.; Li Z.; Smith W.L.; Minnis P.; Minnis P.; Feng Y.; Clayton M.; Clayton M.
收藏 | 浏览/下载：22/0 | 提交时间：2020/07/28
aerosol composition aerosol formation atmospheric chemistry CALIPSO cloud condensation nucleus image analysis lidar satellite data satellite imagery uncertainty analysis Acis |
| Variability and past long-term changes of brominated very short-lived substances at the tropical tropopause 期刊论文
, 2020, 卷号: 20, 期号: 11
作者: Tegtmeier S.; Atlas E.; Quack B.; Ziska F.; Krüger K.
收藏 | 浏览/下载：36/0 | 提交时间：2020/07/28
atmospheric chemistry atmospheric modeling bromine data set Lagrangian analysis long-term change spatial variation stratosphere temporal variation tropical meteorology tropopause Arabian Sea Bay of Bengal Central America India Indian Ocean Pacific Ocean Pacific Ocean (West) |
| Remote sensing of two exceptional winter aerosol pollution events and representativeness of ground-based measurements 期刊论文
, 2020, 卷号: 20, 期号: 11
作者: Baron A.; Chazette P.; Totems J.
收藏 | 浏览/下载：24/0 | 提交时间：2020/07/28
aerosol air quality atmospheric pollution concentration (composition) ground-based measurement lidar particulate matter remote sensing seasonal variation France Ile de France Paris Ville de Paris |
| Asian summer monsoon anticyclone: Trends and variability 期刊论文
, 2020, 卷号: 20, 期号: 11
作者: Basha G.; Ratnam M.V.; Kishore P.
收藏 | 浏览/下载：15/0 | 提交时间：2020/07/28
anticyclone atmospheric transport decadal variation monsoon spatial variation trend analysis zonal wind China Qinghai-Xizang Plateau |
| Inverse modeling of SO2and NOxemissions over China using multisensor satellite data - Part 1: Formulation and sensitivity analysis 期刊论文
, 2020, 卷号: 20, 期号: 11
作者: Wang Y.; Wang J.; Wang J.; Xu X.; Xu X.; Henze D.K.; Qu Z.; Yang K.
收藏 | 浏览/下载：1/0 | 提交时间：2020/07/28 |
| Regional-scale modelling for the assessment of atmospheric particulate matter concentrations at rural background locations in Europe 期刊论文
, 2020, 卷号: 20, 期号: 11
作者: Gašparac G.; Jeričević A.; Kumar P.; Grisogono B.
收藏 | 浏览/下载：22/0 | 提交时间：2020/07/28
air quality air temperature atmospheric modeling atmospheric pollution concentration (composition) modeling particulate matter pollutant transport rural atmosphere spatial variation surface pressure temporal variation wind velocity Central Europe Eastern Europe |
| Developing a novel hybrid model for the estimation of surface 8 h ozone (O3) across the remote Tibetan Plateau during 2005-2018 期刊论文
, 2020, 卷号: 20, 期号: 10
作者: Li R.; Zhao Y.; Zhou W.; Meng Y.; Zhang Z.; Fu H.
收藏 | 浏览/下载：14/0 | 提交时间：2020/07/28
air quality atmospheric modeling atmospheric pollution concentration (composition) error analysis estimation method machine learning ozone performance assessment pollution monitoring satellite data China Qinghai-Xizang Plateau |
| Spatial-temporal variations and process analysis of O3 pollution in Hangzhou during the G20 summit 期刊论文
, 2020, 卷号: 20, 期号: 10
作者: Ni Z.-Z.; Luo K.; Gao Y.; Gao X.; Jiang F.; Huang C.; Fan J.-R.; Fu J.S.; Chen C.-H.
收藏 | 浏览/下载：29/0 | 提交时间：2020/07/28
atmospheric pollution concentration (composition) emission control nitrogen oxides ozone spatial variation temporal variation urban pollution volatile organic compound China Hangzhou Yangtze Delta Zhejiang |
| Improving air quality forecasting with the assimilation of GOCI aerosol optical depth (AOD) retrievals during the KORUS-AQ period 期刊论文
, 2020, 卷号: 20, 期号: 10
作者: Ha S.; Liu Z.; Sun W.; Lee Y.; Chang L.
收藏 | 浏览/下载：20/0 | 提交时间：2020/07/28
accuracy assessment aerosol air quality atmospheric pollution data assimilation forecasting method GOCI MODIS optical depth particulate matter spatiotemporal analysis South Korea |
