Center for International Climate and Environmental Research, Oslo, Norway
Lixia Zhang
State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China
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Total article views: 2,961 (including HTML, PDF, and XML)
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2,069
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PDF: 815
XML: 77
Total: 2,961
Supplement: 146
BibTeX: 88
EndNote: 128
Views and downloads (calculated since 23 Apr 2021)
Cumulative views and downloads
(calculated since 23 Apr 2021)
Total article views: 2,037 (including HTML, PDF, and XML)
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1,495
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2,037
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HTML: 1,495
PDF: 483
XML: 59
Total: 2,037
Supplement: 146
BibTeX: 79
EndNote: 116
Views and downloads (calculated since 14 Oct 2021)
Cumulative views and downloads
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Total article views: 924 (including HTML, PDF, and XML)
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574
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HTML: 574
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Total: 924
BibTeX: 9
EndNote: 12
Views and downloads (calculated since 23 Apr 2021)
Cumulative views and downloads
(calculated since 23 Apr 2021)
Viewed (geographical distribution)
Total article views: 2,961 (including HTML, PDF, and XML)
Thereof 2,961 with geography defined
and 0 with unknown origin.
Total article views: 2,037 (including HTML, PDF, and XML)
Thereof 2,037 with geography defined
and 0 with unknown origin.
Total article views: 924 (including HTML, PDF, and XML)
Thereof 916 with geography defined
and 8 with unknown origin.
Severe haze remains serious over Beijing despite emissions decreasing since 2008. Future haze changes in four scenarios are studied. The pattern conducive to haze weather increases with the atmospheric warming caused by the accumulation of greenhouse gases. However, the actual haze intensity, measured by either PM2.5 or optical depth, decreases with aerosol emissions. We show that only using the weather pattern index to predict the future change of Beijing haze is insufficient.
Severe haze remains serious over Beijing despite emissions decreasing since 2008. Future haze...