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Summer Arctic Atmospheric Circulation Response to Spring Eurasian Snow
Cover and Its Possible Linkage to Accelerated Sea Ice Decrease
SHINJI MATSUMURA
Faculty of Environmental Earth Science, Hokkaido University, Sapporo, Japan
XIANGDONG ZHANG
International Arctic Research Center, and Department of Atmospheric Sciences, University of
Alaska Fairbanks, Fairbanks, Alaska
KOJI YAMAZAKI
National Institute of Polar Research, Tokyo, and Faculty of Environmental Earth Science,
Hokkaido University, Sapporo, Japan
(Manuscript received 9 September 2013, in final form 28 May 2014)
ABSTRACT
Anticyclonic circulation has intensified over the Arctic Ocean in summer during recent decades. However, the
underlying mechanism is, as yet, not well understood. Here, it is shown that earlier spring Eurasian snowmelt
leads to anomalously negative sea level pressure (SLP) over Eurasia and positive SLP over the Arctic, which has
strong projection on the negative phase of the northern annular mode (NAM) in summer through the wave–
mean flow interaction. Specifically, earlier spring snowmelt over Eurasia leads to a warmer land surface, because
of reduced surface albedo. The warmed surface amplifies stationary Rossby waves, leading to a deceleration of
the subpolar jet. As a consequence, rising motion is enhanced over the land, and compensating subsidence and
adiabatic heating occur in the Arctic troposphere, forming the negative NAM. The intensified anticyclonic
circulation has played a contributing role in accelerating the sea ice decline observed during the last two decades.
The results here provide important information for improving seasonal prediction of summer sea ice cover.
1. Introduction
Summer Arctic sea ice extent (SIE) has declined
rapidly during recent decades (e.g., Serreze et al. 2007;
Comiso et al. 2008), while spring Eurasian snow cover
extent (SCE) has decreased over the past several decades (e.g., Groisman et al. 2006; Brown et al. 2010;
Derksen and Brown, 2012). In seasonality, the Eurasian
subarctic becomes snow free in early summer, while the
Arctic Ocean remains continually covered by a large
area of sea ice until late summer. This lagged seasonal
cycle between snow and sea ice is expected to result in an
increased thermal contrast across the Arctic coastline
before sea ice reaches its annual minimum. The surface
Corresponding author address: Shinji Matsumura, Faculty of
Environmental Earth Science, Hokkaido University, Kita 10 Nishi
5, Sapporo, 060-0810, Japan.
E-mail: matsusnj@ees.hokudai.ac.jp
DOI: 10.1175/JCLI-D-13-00549.1
Ó 2014 American Meteorological Society
thermal contrast across the Arctic coastline would
therefore vary with interannual fluctuations of snow and
sea ice covers. When earlier snowmelt occurs, surface
albedo and soil water content will decrease, leading to
a more rapid surface warming in spring, which could persist even further into the following summer (Matsumura
et al. 2010; Matsumura and Yamazaki 2012). All of these
changes in snow cover and resultant alterations of thermal contrast are expected to impact overlying hemispheric
or local atmospheric circulation.
However, the mechanism by which the altered thermal
contrast resulting from altered spring snow cover could
exert across-season impacts on summer Arctic atmospheric circulation has not been clearly understood. In
addition, recent studies suggest that changed atmospheric
circulation could significantly contribute to amplified
Arctic warming and associated accelerated sea ice decrease via increased poleward transport of atmospheric
heat and moisture (e.g., Graversen et al. 2008; Zhang
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et al. 2008, 2013). However, the mechanisms responsible
for the atmospheric circulation change remain to be
elucidated, particularly from the spring, when Eurasian
snow begins to melt throughout the late summer when
sea ice reaches its minimum. To address these questions,
we have analyzed the impact of spring Eurasian snow
anomalies upon summer Arctic atmospheric circulation
and, in turn, upon sea ice.
2. Data and methods
We used a number of data resources, including the
National Centers for Environmental Prediction–U.S.
Department of Energy Atmospheric Model Intercomparison Project II reanalysis (NCEP-2) (Kanamitsu
et al. 2002). Northern Hemisphere (NH) SIE was
acquired from the National Snow and Ice Data Center
(Fetterer et al. 2002). Eurasian SCE is the monthly snow
cover fraction information derived at Rutgers University (Robinson et al. 1993).
Substantial Arctic multiyear ice has been lost since the
late 1980s (Maslanik et al. 2007). As a consequence,
dramatically thinned sea ice and shrunk snow became
vulnerable to atmospheric circulation forcing and the
Arctic climate shifted to a new state. We therefore conducted this study focusing on the last two decades (1988–
2011). Long-term changes in surface radiative forcing and
the atmospheric circulation may play a major contributing role in sea ice and snow declining trend. In this study,
however, we only focus on seasonal connections between
anomalous spring snow cover and summer sea ice via
altered seasonal evolution the atmospheric circulation,
which will be revealed by using the detrended data.
We used September SIE to represent summer sea ice,
because the sea ice reaches an annual minimum in
September, and June SCE to represent spring snow
cover, because its anomalies can more effectively
measure earlier or later spring snowmelt in each year
(Matsumura and Yamazaki 2012). The same analysis
using April and May SCE anomalies exhibits highly
consistent results, excluding potential biases caused by
using different definition of the snow index. Note that
signs in the following regression analysis are reversed to
emphasize earlier snowmelt or sea ice reduction.
3. Results
We first analyzed surface thermal conditions and atmospheric circulation prior to and following the occurrence of anomalous June SCEs (Fig. 1). The regression
analysis indicates that earlier spring snowmelt, represented by negative Eurasian SCE anomaly in June, is
associated with strong positive temperature anomalies
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in March–May over the Eurasian and North American
high latitudes and negative temperature anomalies over
Greenland and the Far East (Fig. 1a). This surface air
temperature pattern is consistent with that induced by
positive phase of the North Atlantic Oscillation (NAO)
(Xie et al. 1999) or northern annular mode (NAM)
(Thompson and Wallace 2000), which is characterized
by negative geopotential height anomalies over the
Arctic and positive anomalies over the lower latitudes
(Fig. 1b). Operational monitoring of the NAM index
also confirms the positive values during early spring in
the earlier spring snowmelt years (not shown). The
positively polarized NAO/NAM enhances horizontal
temperature advection to Eurasian continent (Xie et al.
1999; Thompson and Wallace 2000), As a result, Eurasian land surface warms and earlier spring snowmelt
occurs (Bojariu and Gimeno 2003). This earlier snowmelt further contributes to surface warming via reduced
surface albedo throughout the late spring (Déry and
Brown 2007; Matsumura et al. 2010).
In summer (June–August), however, regression
analysis indicates that strongly positive geopotential
height anomalies over the central Arctic and Greenland,
as well as negative anomalies throughout the high latitudes of Eurasia and North America, occur in association with the negative Eurasian SCE anomaly in June
(Fig. 1c). This geopotential height anomaly pattern
demonstrates a strong projection on a negative NAM
phase. Because there is almost no climatological snow
cover remaining over the Eurasian study area in July and
August, Fig. 1c really represents the response of the atmospheric circulation to June SCE anomalies. In addition
to the time-lag regression above, the comparison between
Figs. 1a and 1c indicates a good correspondence between
summer negative height anomalies and spring surface
warming over northern landmasses. This may indicate an
across-season linkage, suggesting that the spring land
surface warming that is induced by earlier snowmelt
contributes to summer atmospheric circulation variability.
Now, we will check any possible linkage between the
atmospheric circulation and sea ice in summer. Associated with the negative anomaly of September SIE, anticyclonic circulation anomalies emerge over the Arctic
and Greenland (Fig. 1d), similar to what Ogi and Wallace
(2007) identified. Simultaneously, negative height anomalies occur throughout the high latitudes of Eurasia and
North America. This September sea ice–associated circulation pattern shares common features with that induced by June Eurasian SCE anomalies. This suggests
that September sea ice variability could be linked to
spring snowmelt through the atmospheric circulation.
As discussed above, the geopotential height anomaly
pattern changes sign from spring to summer, indicating
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FIG. 1. (a) Spring (March–May) 1000-hPa air temperature (8C) regressed linearly on the standardized inverted June
Eurasian SCE for the period 1988–2011. The contour interval is 0.28C (positive value: solid red contours; negative values:
dashed blue contours), with the zero contour omitted. (b) As in (a), but for early spring (March and April) 1000-hPa
geopotential height (2-m contour interval). (c) As in (b), but for summer (June–August). (d) As in (c), but for regression
on inverted September Arctic SIE. Shaded regions indicate statistical significance at the 95% level.
a phase change in the NAM pattern from positive to
negative, when June Eurasian SCE decreases. To identify the linkage between summer sea ice and spring
snow, we need to understand why the atmospheric circulation pattern changes phase when earlier spring
snowmelt occurs. We examined the time evolution of
the zonal-mean atmospheric circulation associated with
June Eurasian SCE anomalies during the snowmelt and
postsnowmelt seasons (Fig. 2).
Corresponding to earlier Eurasian snowmelt as indicated by June SCE, a positive NAM appears in April,
causing lower-tropospheric and surface warming at about
508–608N (Figs. 2 and 1a), where downward motion appears. In May, however, the anomalous vertical meridional circulation is reversed. A rising motion occurs over
the warmer land around 508–558N and subsidence occurs
over the cold Arctic and/or subarctic, giving rise to Arctic
lower- to midtropospheric warming as a result of adiabatic heating (Thompson and Wallace 2000). The change
in vertical atmospheric circulation from April to May is,
in fact, a manifestation of the phase transition in the
NAM pattern from positive to negative.
After snowmelt in July, when the land–sea ice thermal
contrast across the Arctic coastline is the strongest, the
rising motion moves poleward to around 558–658N and
the subsidence extends to the entire Arctic, forming
cyclonic anomalies over northern landmasses and anticyclonic anomalies over the Arctic. This persistent,
negative NAM contributes to strong Arctic warming in
the lower-to-middle troposphere into August.
To further understand the dynamics of earlier spring
snowmelt forcing and maintaining a negative NAM
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FIG. 2. Zonal-mean temperature (shaded; 8C) and mean meridional circulation (vectors; m s21), regressed onto the
standardized, inverted June Eurasian SCE for (a) April, (b) May, (c) July, and (d) August. White contours indicate
statistical significance at the 95% level for zonal-mean temperature.
from late spring throughout summer, we examined the
wave–mean flow interaction associated with June Eurasian SCE anomalies, using Eliassen–Palm (EP) flux
(Andrews and McIntyre 1976) (Fig. 3). In April, when
NAM stays in positive phase, waves are generated from
the surface at high latitudes and first propagate upward
and then turn equatorward in the upper troposphere. In
May, however, waves are emanated from the anomalously warmed land surface because of earlier snowmelt
over 408–508N; they propagate upward and then poleward in the upper troposphere where the EP flux converges, resulting in deceleration of the subpolar jet.
Changes in stationary Rossby waves and resulting deceleration of the subpolar jet drive the NAM to change
phase from positive to negative.
After the snowmelt season, in July, wave forcings
move poleward along with increasing land–sea ice
thermal contrast and the same wave generation and
propagation pattern is retained. On the other hand, the
largest thermal contrast strengthens subpolar jet, which
may weaken spring SCE forced anomalous easterlies
and the negative NAM-like circulation. In August, when
the land–sea ice thermal contrast begins to weaken, upward waves disappear and only poleward waves propagate
in the upper troposphere, continually contributing to EP
flux convergence and deceleration of the subpolar jet.
Consequently, negative NAM is maintained throughout
the summer by wave forcings. The persistent and even
larger deceleration of the subpolar jet in August could
be a feedback consequence from decreased sea ice.
The previous statistical analysis has demonstrated
changes in the atmospheric circulation from spring to
summer because of anomalous snow cover forcing. To
further isolate the snow impact and minimize potential
impact from other factors involved in the data, we extended our previous atmospheric general circulation
model (AGCM) experiments (Matsumura et al. 2010) to
examine response of the hemispheric-scale circulation
to spring snow forcing. Specifically, the AGCM experiments include 10 ensembles spanning from 21–30 April
to the end of August and were initialized using light and
heavy Eurasian SCE. Climatological sea surface temperature (SST) and sea ice cover were prescribed in all
experiments, excluding impacts of SST and sea ice variability on the atmospheric circulation, which reduce the
model freedom and constrains model simulations. A
dominant number of the model simulations have sufficiently produced the nearly same results solely because
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FIG. 3. Zonal-mean zonal wind (shaded; m s21), EP flux (vectors; kg s22), and the EP flux divergence (contour
interval is 0.3 m s21 day21 with the zero contour omitted) regressed onto standardized June Eurasian SCE for
(a) April, (b) May, (c) July, and (d) August. Convergence (divergence) is indicated by dashed (solid) contours.
Vertical length of the vector is 200 times larger than its horizontal length. White contours indicate statistical
significance at the 95% level for zonal-mean zonal wind.
of Eurasian SCE forcing, demonstrating robustness of
the model results.
Figure 4 shows the simulated sea level pressure (SLP)
and zonal-mean vertical structure differences between
light and heavy snow runs for early summer. The model
simulated June SLP anomaly patterns well capture its
strong projection on the negative NAM phase as identified in the observations, although the significance level
of the statistical analysis is relatively smaller than that
shown in the observational data because of the small
number of model ensembles. The June SLP anomaly
patterns are also similar to the results of Overland et al.
(2012). At the same time, rising motion occurs over
around 508N, while subsidence occurs over subpolar
latitudes contributing to subarctic lower- to midtropospheric warming. In July, the rising motion moves
northward over around 608–708N, and subsidence extends to the entire Arctic, causing Arctic warming in the
lower-to-middle troposphere. These results are consistent with and reinforce the observational and dynamic
results analyzed above (Figs. 1c and 2): that is, earlier
spring snowmelt leads to anomalously negative SLP
over Eurasia and positive SLP over the Arctic, which has
strong projection on the negative phase of NAM. In late
summer, however, Eurasian snow cover is completely
gone and feedback from decreased sea ice becomes
more prominent, which may amplify the deceleration of
the subpolar jet originally forced by earlier snowmelt
(Fig. 3d), leading to a persistently and strongly negative
NAM-like atmospheric circulation anomalies.
Summer zonal-mean wind anomalies and tropospheric warming over the Arctic associated with the
June Eurasian SCE and September Arctic SIE are also
remarkably similar (not shown). This negative NAM is
marked by strong easterly anomalies (deceleration of
the subpolar jet) over the subpolar region, forming
surface cyclonic anomalies over northern landmasses
and anticyclonic anomalies over the Arctic Ocean (Figs.
1c,d). The intensified surface anticyclonic circulation
favors sea ice transport via transpolar drift and export
out of the Arctic Ocean through Fram Strait (Ogi and
Wallace 2007), which in turn contribute to Arctic sea ice
loss (Fig. 5). It shows a pronounced reduction of sea ice
occurring in all shelf seas where September sea ice exist
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FIG. 4. Sea level pressure (hPa) differences between Eurasian light and heavy snow runs (light 2 heavy) in (a) June
and (b) July, based on the modeling results (Matsumura et al. 2010). The contour interval is 1.0 hPa with the zero
contour omitted. (c),(d) As in (a),(b), but for zonal-mean temperature (shaded; 8C) and mean meridional circulation
(vectors; m s21) differences.
and the reduction extends to the central Arctic, when
June SCE is less than average (i.e., early snowmelt occurs). Indeed, correlations between June Eurasian SCE
and late summer NH SIE remain statistically significant
at the 99% confidence level and correlations associated
with May Eurasian SCE also hold at the 95% confidence
level (not shown). Further regression analysis on June
SIE suggests that June sea ice anomaly cannot force
circulation changes as that forced by spring SCE
anomalies. The autocorrelation analysis also indicates
that the persistence of SIE anomalies dramatically decreases from June to September. Therefore, the phase
transition of NAM-like summer atmospheric circulation
and its forcing role in the accelerated summer sea ice
melt originate from anomalous spring SCE forcing. The
predominant occurrence of negative summer NAM
during the last two decades may have played an important role in rapid summer Arctic sea ice reduction.
4. Discussion and conclusions
We have examined the impact of spring Eurasian
snow cover on summer Arctic atmospheric circulation
during recent decades. Synthesis from comprehensive
data analysis, dynamic diagnosis, and model experiments indicate that earlier Eurasian spring snowmelt
and the resultant surface warming leads to anomalously
negative SLP over Eurasia and positive SLP over the
Arctic, which has strong projection on the negative
phase of NAM in summer through the wave–mean flow
interaction. The intensified anticyclonic circulation
contributes to the rapid sea ice decline observed during
the last two decades. Our results here identify interannual relationships between spring Eurasian snow
cover and summer Arctic sea ice extent by using the
detrended data. At the same, this finding may also suggest a potential mechanism to explain some parts of the
recent September SIE trends, considering the observed
long-term trends of the spring snow cover.
Various studies have investigated instant, acrossseason, and decadal-scale cumulative impacts of the
atmospheric circulation on summer sea ice variability
(e.g., Rigor et al. 2002; Zhang et al. 2003; Ogi and
Wallace 2007; Deser and Teng 2008; Zhang et al. 2008;
Overland and Wang 2010). However, the question of
how changes in atmospheric circulation forced by spring
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MATSUMURA ET AL.
Marine-Earth Science and Technology, the Green
Network of Excellence Program (GRENE) Arctic Climate Change Research Project, and the U.S. National
Science Foundation Grants ARC 1023592 and 1107509.
S. Matsumura was supported by the Institutional Program for Young Researcher Overseas Visits in Japan
Society for the Promotion of Science.
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FIG. 5. Detrended September sea ice concentration (shaded; %)
and summer (June–August) 925-hPa wind (vectors; m s21) regressed
linearly on the standardized inverted June Eurasian SCE for the
period 1988–2011, based on the Met Office Hadley Centre Sea Ice
and Sea Surface Temperature dataset, version 1 (Rayner et al. 2003).
White contours indicate statistical significance at the 95% level. Black
contours indicate SIC of 90% averaged for the period 1988–2011.
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grants to the University of Alaska Fairbanks International
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