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: 5,304 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
3,750
1,430
124
5,304
655
124
193
HTML: 3,750
PDF: 1,430
XML: 124
Total: 5,304
Supplement: 655
BibTeX: 124
EndNote: 193
Views and downloads (calculated since 28 Sep 2016)
Cumulative views and downloads
(calculated since 28 Sep 2016)
Total article views: 4,345 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
3,208
1,062
75
4,345
443
96
141
HTML: 3,208
PDF: 1,062
XML: 75
Total: 4,345
Supplement: 443
BibTeX: 96
EndNote: 141
Views and downloads (calculated since 01 Feb 2018)
Cumulative views and downloads
(calculated since 01 Feb 2018)
Total article views: 959 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
542
368
49
959
212
28
52
HTML: 542
PDF: 368
XML: 49
Total: 959
Supplement: 212
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: 5,304 (including HTML, PDF, and XML)
Thereof 5,253 with geography defined
and 51 with unknown origin.
Total article views: 4,345 (including HTML, PDF, and XML)
Thereof 4,319 with geography defined
and 26 with unknown origin.
Total article views: 959 (including HTML, PDF, and XML)
Thereof 934 with geography defined
and 25 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...
