College of Global Change and Earth System Science, State Key
Laboratory of Earth Surface Processes and Resource Ecology, and Joint Center
for Global Change and Green China Development, Beijing Normal University,
Beijing, China
Department of Atmospheric Science, University of Wyoming, Laramie,
Wyoming, USA
College of Global Change and Earth System Science, State Key
Laboratory of Earth Surface Processes and Resource Ecology, and Joint Center
for Global Change and Green China Development, Beijing Normal University,
Beijing, China
College of Global Change and Earth System Science, State Key
Laboratory of Earth Surface Processes and Resource Ecology, and Joint Center
for Global Change and Green China Development, Beijing Normal University,
Beijing, China
Department of Atmospheric and Oceanic Science & ESSIC, University
of Maryland, College Park, Maryland, USA
College of Global Change and Earth System Science, State Key
Laboratory of Earth Surface Processes and Resource Ecology, and Joint Center
for Global Change and Green China Development, Beijing Normal University,
Beijing, China
College of Global Change and Earth System Science, State Key
Laboratory of Earth Surface Processes and Resource Ecology, and Joint Center
for Global Change and Green China Development, Beijing Normal University,
Beijing, China
College of Global Change and Earth System Science, State Key
Laboratory of Earth Surface Processes and Resource Ecology, and Joint Center
for Global Change and Green China Development, Beijing Normal University,
Beijing, China
Fang Wu
College of Global Change and Earth System Science, State Key
Laboratory of Earth Surface Processes and Resource Ecology, and Joint Center
for Global Change and Green China Development, Beijing Normal University,
Beijing, China
College of Global Change and Earth System Science, State Key
Laboratory of Earth Surface Processes and Resource Ecology, and Joint Center
for Global Change and Green China Development, Beijing Normal University,
Beijing, China
Viewed
Total article views: 5,824 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
4,164
1,517
143
5,824
710
159
246
HTML: 4,164
PDF: 1,517
XML: 143
Total: 5,824
Supplement: 710
BibTeX: 159
EndNote: 246
Views and downloads (calculated since 28 Sep 2016)
Cumulative views and downloads
(calculated since 28 Sep 2016)
Total article views: 4,824 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
3,601
1,129
94
4,824
478
131
194
HTML: 3,601
PDF: 1,129
XML: 94
Total: 4,824
Supplement: 478
BibTeX: 131
EndNote: 194
Views and downloads (calculated since 01 Feb 2018)
Cumulative views and downloads
(calculated since 01 Feb 2018)
Total article views: 1,000 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
563
388
49
1,000
232
28
52
HTML: 563
PDF: 388
XML: 49
Total: 1,000
Supplement: 232
BibTeX: 28
EndNote: 52
Views and downloads (calculated since 28 Sep 2016)
Cumulative views and downloads
(calculated since 28 Sep 2016)
Viewed (geographical distribution)
Total article views: 5,824 (including HTML, PDF, and XML)
Thereof 5,760 with geography defined
and 64 with unknown origin.
Total article views: 4,824 (including HTML, PDF, and XML)
Thereof 4,783 with geography defined
and 41 with unknown origin.
Total article views: 1,000 (including HTML, PDF, and XML)
Thereof 977 with geography defined
and 23 with unknown origin.
We found that 22–28 % of the low AOD bias in eastern China simulated by the Community Atmosphere Model version 5 can be improved by using a new emission inventory. The concentrations of primary aerosols are closely related to the emission, while the seasonal variations of secondary aerosols depend more on atmospheric processes. This study highlights the importance of improving both the emission and atmospheric processes in modeling the atmospheric aerosols and their radiative effects.
We found that 22–28 % of the low AOD bias in eastern China simulated by the Community Atmosphere...