The correlation and regression analysis on aerosol optical depth, ice cover and cloud cover in Greenland Sea
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Author(s)
Gabric, AJ
Gu, P
Zeng, M
Griffith University Author(s)
Primary Supervisor
Other Supervisors
Editor(s)
Chen, Luonan
Zhang, Xiang-Sun
Wu, Ling-Yun
Wang, Yong
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Qingdao, China
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Abstract
Research
es on Arctic aeroso
l, ice cover and
cloud
cover ha
ve received great attention and it related to the
regional even global
climate changing.
We here study the
distributions and the coupling relationships of AOD, cloud cover
(CLD) and ice cover (ICE) in the Greenland Sea (20
°W
-10°E,
70°N
-80
°N) during 2003
-2012.
Enhanced statistics methods, such
as lag regression method and co
-integration analysis method are
used for correlation and regression analysis. According to the 10
years
satellite
data, AOD was high in spring, and low in su
mmer.
Generally
, AOD
wa
s higher
down
south and lower
up
north.
CLD and AOD
mainly
had
negative correlation
s and ICE and
AOD
had
positive correlation
s. According to the lag regression
analysis by statistical software EV
iews,
both t
he peaks
of CLD
and peak
s of ICE w
ere all
1 month earlier than the peak of AOD
.
The
co -integration test suggested
that
both ICE(
-1) and CLD(
-1)
and AOD
were all
zero
-order integration,
and there w
as no unit
root in the residual,
so there all had
long
-run equilibrium
relationship
s. ICE
and AOD
we
re stationary series, and the
residual ha
d no unit root, they
we
re good coupling.
The melting
of sea ice and decreasing of cloud cover would all result in the
increas
ing
of the AOD content.
However, t
he relationship
between AOD and CLD
wa
s weaker
than the relationship
between AOD and ICE,
indicating that the aerosol in Arctic
mostly
came from the
sea
rather than from the air
.
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International Conference on Systems Biology, ISB
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© 2014 International Society of Biomechanics (ISB). The attached file is reproduced here in accordance with the copyright policy of the publisher. Please refer to the conference's website for access to the definitive, published version.
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Subject
Biological oceanography