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Retrieval of hourly aerosol single scattering albedo over land using geostationary satellite data
The single scattering albedo (SSA) of aerosol particles is one of the key variables that determin...
Jiang, X., Xue, Y., de Leeuw, G., Chunlin Jin, C., Zhang, S., Sun, Y., Wu, S. | Journal: npj Clim Atmos Sci | Volume: 7 | Year: 2024 | First page: 157 | doi: https://doi.org/10.1038/s41612-024-00690-6.
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Mortality burden due to ambient nitrogen dioxide pollution in China: Application of high-resolution models
Background
A large gap exists between the latest Global Air Quality Guidelines (AQG 2021) and Ch...
Xinyue Li, Peng Wang, Weidong Wang, Hongliang Zhang, Su Shi, Tao Xue, Jintai Lin, Yuhang Zhang, Mengyao Liu, Renjie Chen, Haidong Kan, Xia Meng | Journal: Environment International | Volume: 176 | Year: 2023 | First page: 107967 | doi: https://doi.org/10.1016/j.envint.2023.107967
Wetenschappelijke publicatie
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Key chemical NOx sink uncertainties and how they influence top-down emissions of nitrogen oxides
T Stavrakou, JF Müller, KF Boersma, RJ van der A, J Kurokawa, T Ohara, Q Zhang | Status: published | Journal: Atm. Chem. Phys. | Volume: 13 | Year: 2013 | First page: 9057 | Last page: 9082 | doi: 10.5194/acp-13-9057-2013
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Recent reduction in NOx emissions over China: synthesis of satellite observations and emission inventories
Tropospheric nitrogen dioxide (NO2) column densities detected from space are widely used to infer...
F Liu, Q Zhang, RJ van der A, B Zheng, D Tong, L Yan, Y Zheng, K He | Status: published | Journal: Environmental Research Letters | Volume: 11 | Year: 2016 | doi: 10.1088 / 1748-9326 / 11 / 11 / 114002
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New tropical peatland gas and particulate emissions factors indicate 2015 Indonesian fires released far more particulate matter (but Less Methane) than current inventories imply
Deforestation and draining of the peatlands in equatorial SE Asia has greatly increased their fla...
MJ Wooster, DLA Gaveau, MA Salim, T Zhang, W Xu, D Green, V Huijnen, D Murdyarso, D Gunawan | Status: published | Journal: Remote Sensing | Volume: 4 | Year: 2018 | doi: 10.3390/rs10040495
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