Climate Dynamics

, Volume 43, Issue 7–8, pp 2185–2196

Arctic sea ice and the Madden–Julian Oscillation (MJO)

  • Gina R. Henderson
  • Bradford S. Barrett
  • Donald M. Lafleur
Open Access
Article

Abstract

Arctic sea ice responds to atmospheric forcing in primarily a top-down manner, whereby near-surface air circulation and temperature govern motion, formation, melting, and accretion. As a result, concentrations of sea ice vary with phases of many of the major modes of atmospheric variability, including the North Atlantic Oscillation, the Arctic Oscillation, and the El Niño-Southern Oscillation. However, until this present study, variability of sea ice by phase of the leading mode of atmospheric intraseasonal variability, the Madden–Julian Oscillation (MJO), which has been found to modify Arctic circulation and temperature, remained largely unstudied. Anomalies in daily change in sea ice concentration were isolated for all phases of the real-time multivariate MJO index during both summer (May–July) and winter (November–January) months. The three principal findings of the current study were as follows. (1) The MJO projects onto the Arctic atmosphere, as evidenced by statistically significant wavy patterns and consistent anomaly sign changes in composites of surface and mid-tropospheric atmospheric fields. (2) The MJO modulates Arctic sea ice in both summer and winter seasons, with the region of greatest variability shifting with the migration of the ice margin poleward (equatorward) during the summer (winter) period. Active regions of coherent ice concentration variability were identified in the Atlantic sector on days when the MJO was in phases 4 and 7 and the Pacific sector on days when the MJO was in phases 2 and 6, all supported by corresponding anomalies in surface wind and temperature. During July, similar variability in sea ice concentration was found in the North Atlantic sector during MJO phases 2 and 6 and Siberian sector during MJO phases 1 and 5, also supported by corresponding anomalies in surface wind. (3) The MJO modulates Arctic sea ice regionally, often resulting in dipole-shaped patterns of variability between anomaly centers. These results provide an important first look at intraseasonal variability of sea ice in the Arctic.

Keywords

Madden–Julian Oscillation Arctic sea ice Intraseasonal variability 

1 Introduction

Arctic sea ice is a complex component of the Earth climate system. Part of its complexity comes from its sensitivity to the atmosphere on a range of spatial and temporal scales. For example, decades of observational and modeling studies of sea ice have confirmed that its variability is primarily a top-down process (Liu et al. 2004; Deser and Teng 2008), where the atmosphere provides the primary forcing mechanisms (Hopsch et al. 2012). In response, sea ice tends to organize—via motion, formation, melting, and accretion—in accordance with large-scale patterns of atmospheric circulation (Walsh and Johnson 1979; Overland and Pease 1982; Fang and Wallace 1994; Slonosky et al. 1997; Prinsenberg et al. 1997; Overland and Wang 2010). Because of these responses to the atmosphere, concentrations of sea ice have been found to be correlated with several of the major modes of atmospheric variability, including the North Atlantic Oscillation (NAO) (Deser et al. 2000; Kwok 2000; Parkinson 2000; Partington et al. 2003), the Arctic Oscillation (AO) (Wang and Ikeda 2000; Rigor et al. 2002; Belchansky et al. 2004) (the NAO and AO are often referred to as part of the Northern Hemisphere annular mode; Wallace 2000), the El Niño-Southern Oscillation (ENSO) (Liu et al. 2004), and longer-period oscillations (Polyakov et al. 2003). Furthermore, the leading mode of atmospheric intraseasonal variability, the Madden–Julian Oscillation (MJO; Madden and Julian 1972), has been shown to modulate the high-latitude (Zhou and Miller 2005; Cassou 2008) and Arctic (L’Heureux and Higgins 2008; Yoo et al. 2011) atmosphere. However, connections between sea ice and the MJO remain largely unexplored. Therefore, the purpose of this paper is to examine variability of Arctic sea ice concentration by phase of the MJO.

Observational studies of sea ice organizational patterns have shown that the most important atmospheric drivers of Arctic sea ice variability are surface air temperature and surface wind (Prinsenberg et al. 1997; Deser et al. 2000; DeWeaver and Bitz 2006), with surface wind being the most important driver of summer variability (Kwok 2008; Ogi et al. 2008; Zhang et al. 2013). The dominant pattern of winter sea ice variability resembles a dipole, where ice concentration in the North Atlantic varies oppositely between the Barents and Greenland Seas and the Labrador Sea (Fang and Wallace 1994; Partington et al. 2003; Ukita et al. 2007; Parkinson and Cavalieri 2008). Another winter dipole pattern is observed in the Pacific sector between the Bering Sea and the Sea of Okhotsk, where atmospheric blocking episodes act to modulate the advance of the ice, although these fluctuations of ice concentration tend to be smaller than those in the North Atlantic sector (Ivanova et al. 2012). In summer, a prominent dipole, also seen in observational data, tends to locate between the Kara Sea and the East Siberian Sea (Fang and Wallace 1994). Throughout the year, the majority of the variability occurs along the sea ice margin, where ice meets open water (Fang and Wallace 1994; Polyakov et al. 2003; Strong 2012; Ivanova et al. 2012), driven by atmospheric forcing (Strong 2012). Significant differences between summer and winter seasons, including the direction of ice change (melting versus freezing), solar radiation received at the surface, and variability in locations of ice concentration change, result in strong seasonality in Arctic sea ice extent (Fig. 1). For this study, we were interested in modulation of both winter (November–January) and summer (May–July) sea ice by the MJO, with particular emphasis along the sea ice margins, and because of the pronounced seasonality in ice extent, summer and winter periods were treated separately.
Fig. 1

Mean monthly sea ice extent, 1979–2000. Blue (orange) sections highlight transition winter (summer) seasons which were the focus of this study. Data from NSIDC’s sea ice index

Tropical convection, which is the primary driver of the MJO, has been found to affect atmospheric circulation in high latitudes (e.g., Ferranti et al. 1990; Higgins and Mo 1997; Matthews et al. 2004). Vecchi and Bond (2004) found that geopotential height, specific humidity, and surface air temperature in the Arctic varied by phase of the MJO, and the response of surface air temperature in Canada to the MJO was confirmed by Lin and Brunet (2009). Lee et al. (2011) noted that the “polar amplification” in surface temperatures was in response to poleward-propagating Rossby waves excited by MJO-related tropical convection. Yoo et al. (2012) further confirmed that the MJO-driven, poleward propagating wave train drove changes in the Arctic overturning circulation, heat flux, and downward infrared radiation, and Flatau and Kim (2013) noted that that the MJO forces the annular modes (the AO and NAO) on intraseasonal time scales. All of these Arctic parameters affected by the MJO, from atmospheric circulation to temperature to radiation, have potentially significant impacts on sea ice concentration. However, the specific effects of MJO-driven atmospheric variability on sea ice concentration are not yet known. Therefore, the purpose of this paper is to explore variability in sea ice concentration and atmospheric parameters for two periods, one in the winter freeze-up season, November–January, NDJ, and another in the summer melt season, May–July, MJJ, and then to connect the observed variability to specific phases of the MJO. Both seasonal and monthly variability will be examined on timescales of the MJO. The rest of this paper is organized as follows: datasets and methodology are described in Sect. 2, results are presented in Sect. 3, and discussion and conclusions are presented in Sect. 4.

2 Data and methods

The analyses in this study were based on three publicly available datasets. First, to gain an understanding of the state of the Arctic atmosphere under different phases of the MJO at both surface and mid-tropospheric levels, daily data from the National Centers for Environmental Prediction (NCEP)–Department of Energy (DOE) reanalysis 2 (Kanamitsu et al. 2002) were examined. Variables included in the atmospheric analysis were 500-hPa geopotential height, mean sea level pressure, 2-m surface temperature, and 10-m winds, for the period 1979 to 2011. Daily composite anomalies of pressure, height, temperature and wind were created for both winter and summer months by phase of the MJO using the methodology described below.

Second, to quantify the effects of the MJO on ice, daily change in Arctic sea ice concentration (ΔSIC) was calculated using the NOAA/National Snow and Ice Data Center (NSIDC) Climate Data Record (CDR) of passive microwave sea ice concentration, version 2 (Meier et al. 2013). This dataset was provided on a 25 km × 25 km grid for the polar region and available daily from 1987 through 2012. The years 1989–2010 were used in this study, starting in 1989 due to missing data in the beginning of the record. Ice concentrations in the CDR were produced through a combination of two mature passive microwave ice algorithms, the NASA Team (Cavalieri et al. 1984) and the Bootstrap (Comiso 1986), both using Special Sensor Microwave/Imager (SSM/I) brightness temperature data as input. Daily change in ice concentration (ΔSIC) was calculated at each grid box using
$$\varDelta SIC = day_{n} -day_{n - 1}$$
where dayn is daily ice concentration for day n and dayn-1 is the concentration for the previous day. Mean monthly ΔSIC for the MJJ and NDJ seasons (Fig. 2) showed areas of ice concentration loss (blues, top row) and gains (yellows, bottom row) during these respective seasons. The location of largest ice concentration loss (gain) for each season varied substantially during the summer (winter), migrating poleward (equatorward) in each subsequent month of the season.
Fig. 2

Mean daily change in sea ice concentration (ΔSIC) expressed as a monthly average for MJJ (top row), and NDJ (bottom row). Sea ice concentration values represent percent change. Data from 1989 to 2010

Third, the MJO itself was defined using the daily real-time multivariate MJO (RMM) index (Wheeler and Hendon 2004). The RMM phases were used to divide the reanalysis and daily change in sea ice concentration datasets. The daily RMM index oscillates between eight phases, each corresponding to the broad location of an MJO-enhanced equatorial convective signal (Wheeler and Hendon 2004). The index is created such that the MJO generally progresses eastward, from phase 1 to 8 and back to phase 1 again. Days during which the magnitude of the MJO vector was less than one standard deviation from zero were not considered, following the compositing methodology of other recent studies (e.g., Zhou et al. 2012; Virts et al. 2013; Zhang 2013; Barrett and Gensini 2013). Anomalies in daily ΔSIC, 500-hPa geopotential height, sea level pressure, 2-m air temperature, and 10-m wind were then found by averaging the dayn means for each MJO phase and subtracting them from the overall monthly mean.

To isolate relationships between the MJO and Arctic sea ice, and to remove some of the effects of the long-period decline in overall sea ice cover (e.g., Serreze et al. 2007), only daily ΔSIC beyond one standard deviation (either positive or negative) from the normal daily change for that month was used to calculate monthly anomalies; all other daily ΔSIC were not considered for the analysis. In addition to focusing on extreme values of anomalous ΔSIC, a minimum number of days threshold was imposed at each grid box, such that only those boxes in which anomalous ΔSIC values were above (or below) one standard deviation for at least 5 days, for a particular MJO phase and month, were considered. Significance testing was performed using the Student’s t test, and both atmospheric and sea ice anomalies were examined for significance at the 95 % confidence level.

3 Results

3.1 Seasonal atmosphere variability

Composites of Arctic atmospheric circulation in both winter and summer showed statistically significant variability by phase of the MJO, with the greatest amplitude in variability occurring in winter. For November through January (Fig. 3), the pattern of 500-hPa height anomalies was found to be wavy and to exhibit a variety of wavenumbers. For example, in Phase 4, negative anomalies over northeast Russia and Alaska changed signs to positive anomalies over northern North America, and then changed sign again to negative over the north Atlantic and northern Europe. The anomaly centers also tended to change signs with phase of the MJO, something which is a defining characteristic of MJO-related variability (Zhang 2013). For example, in MJO phase 1, negative height anomalies were found over northern Russia, Alaska, and the north Atlantic, and positive height anomalies were found over northern Europe and North America. By phase 5, positive height anomalies were centered over much of Russia, while negative height anomalies were located over much of Western Europe. In winter (November–January), the height anomalies on days with the MJO in phase 2 resembled an anomalously positive AO polarity, and on days when the MJO was in phase 6 and 7, the height anomalies resembled negative AO polarity. This agreed well with the findings of Flatau and Kim (2013), who noted that convection in the Indian Ocean (MJO phase 2) was associated with positive AO polarity.
Fig. 3

Daily 500-hPa height anomalies (in m), for each of the 8 MJO phases. Anomalous values are expressed as a seasonal mean, November–January. Reanalysis data from 1980 to 2011

In summer (May–July), similar wavy patterns in the 500-hPa height anomalies were found (Fig. 4), although the magnitude of the anomalies was less than in winter. Similar to winter, the signs of anomaly centers tended to change with phase of the MJO. For example, in Phase 2, positive anomalies were located over the Bering Strait and Sea and the North Atlantic, and negative anomalies over northern Europe and North America, and by Phase 6, the signs of these anomalies had shifted, with positive height anomalies over northern Europe and North America and negative height anomalies over the Bering Strait. In addition to the findings described above, the influence of MJO in the Arctic in boreal summer (phases 1 and 8) indicated tendencies of a positive AO signal, while phases 5 and 6 pointed to a negative AO oscillation. This boreal summer MJO-AO relationship has not received much attention in published literature to date. Both the winter and summer height anomaly patterns showed that the Arctic atmosphere varies significantly with phase of the MJO. Establishing seasonal variability of the Arctic atmosphere by MJO phase was a necessary first step in our postulation of a top-down theory of how the MJO modulates the Arctic atmosphere, and subsequently, Arctic sea ice.
Fig. 4

As in Fig. 3, but for May–July

3.2 Monthly atmosphere and ice variability

The MJO was found to project onto the Arctic atmosphere on seasonal time scales (Figs. 3, 4). However, when considering associations between atmospheric tendencies and sea ice variability, sub-seasonal temporal scale was necessary because monthly ΔSIC anomalies migrated poleward during summer (MJJ) and equatorward during winter (NDJ) seasons, respectively (Fig. 2). Locations of anomalous ΔSIC by phase of MJO also demonstrated regional variability across the Arctic domain. Two leading regions of sea ice variability identified previously in the literature were the Barents and Greenland Seas and the Labrador Sea in the Atlantic sector, and the Bering Sea and the Sea of Okhotsk in the Pacific sector. To better identify patterns in anomalous ΔSIC by phase of MJO, we used a sector-based approach using regions defined in the widely used Multisensored Analyzed Sea Ice Extent (MASIE) (National Ice Center and NSIDC 2010) product, identified in Fig. 5. Here, we highlight results from 2 months, January and July, which were typical of patterns seen in other months in both winter and summer.
Fig. 5

Multisensored Analyzed Sea Ice Extent (MASIE) defined Arctic regions (National Ice Center and NSIDC 2010)

In January, sea ice variability by phase of the MJO showed several important characteristics. First, ΔSIC variability tended to concentrate the most in two sectors: the North Atlantic, where the most variability occurred between MJO phases 4 and 7 and extended from either side of Greenland to the Barents Sea (column 4 in Fig. 6), and the Pacific, where the most variability occurred between MJO phases 2 and 6 and extended from the Sea of Okhotsk to the Bering Sea (column 4 in Fig. 7). Second, the largest range in variability of January sea ice concentration in the Atlantic (−0.1 to 0.1) occurred during MJO phases 4 and 7 (Fig. 6), and the largest range in variability of January sea ice concentration in the Pacific (−0.1 to 0.1) occurred during Phases 2 and 6 (Fig. 7). Anomalies of daily change in sea ice concentration were less variable (more neutral) during other MJO phases, and thus are not shown. Third, ΔSIC anomalies in all four phases examined here (2, 4, 6, and 7) were supported by corresponding atmospheric circulation and temperature anomalies. For example, on days when the MJO was in phase 4 (Fig. 6, top row), statistically significant (at the 95 % level) anomalous daily changes in sea ice concentrations resembled the dipole structure reported by Fang and Wallace (1994), Partington et al. (2003), Ukita et al. (2007), and Parkinson and Cavalieri (2008). Negative anomalies were found along the east coast of Greenland and positive anomalies were found in the Barents Sea; the sign of these anomalies flipped on days when the MJO was in phase 7 (Fig. 6, bottom row). On days when the MJO was in phase 4, mean sea level pressure was anomalously low over the Barents Sea, which caused anomalously northerly surface winds in the Greenland Sea and anomalously southerly surface winds in the Barents Sea. When the MJO was in phase 7, mean sea level pressure was anomalously high over the Barents Sea, leading to opposite wind anomalies than for days when the MJO was in phase 4 (Fig. 6). Northerly surface winds over the Greenland Sea (like those during phase 4) would push sea ice away from Greenland, decreasing the sea ice concentration along its eastern coast, while southerly surface winds (like those during phase 7) would push ice back north toward Greenland and increase the sea ice concentration. For the other half of the dipole, in the eastern Barents Sea, weak northerly surface winds and below-normal surface temperatures during phase 4 agreed with anomalous positive change in sea ice concentration, while during phase 7, anomalous southerly winds and above-normal surface temperatures agreed with the observed anomalous negative change in sea ice concentration.
Fig. 6

Daily composites of anomalous sea level pressure (SLP, in hPa), 2-m temperature (TEMP, in °C), 10-m winds (10 m WND, in m s−1), and change in SIC (ΔSIC, in % change) for active MJO phases 4 and 7 for January. All variables are expressed as anomalies from the monthly mean, except 10-m winds, where the arrows represent mean daily velocity and shading indicates magnitude of anomalous v-wind component. Reanalysis data are from 1980 to 2011 and ice concentrations are from 1989 to 2010

Fig. 7

As in Fig. 6, but for phases 2 and 6 for January

Similar agreement between the atmosphere and anomalous daily change in sea ice concentration was found in the Pacific sector (Fig. 7). For example, on days when the MJO was in phase 2 (Fig. 7, top row), negative surface pressure anomalies were located over the Bering Strait and Chukchi Sea, leading to northerly surface wind anomalies over the Bering Sea and below-normal surface temperatures (as much as 6 K below January normal) in the Sea of Okhotsk, concurrent with an increase in sea ice concentration in both locations. On days when the MJO was in phase 6 (Fig. 7, bottom row), sea level pressure anomalies in the Bering Strait and Chukchi Sea were positive, leading to strong southerly surface wind anomalies (up to 5 m s−1) and positive surface temperature anomalies over the Sea of Okhotsk, concurrent with a decrease in sea ice concentration. For the Pacific sector, surface temperature anomalies seemed to be most strongly related to anomalous change in sea ice concentration. However, in the Atlantic sector surface wind anomalies seemed to be most strongly related to anomalous change in sea ice concentration, in good agreement with Prinsenberg et al. (1997), Deser et al. (2000), and DeWeaver and Bitz (2006), who all noted important effects of surface wind anomalies on Atlantic sea ice concentration in winter.

In July, unlike January, ΔSIC anomalies tended to concentrate in Atlantic and Siberian sectors. In the Atlantic sector, on days when the MJO was in phase 2, positive ice concentration change anomalies were found from the northern Barents Sea westward to the east coast of Greenland (Fig. 8, top row). These anomalies largely reversed for days when the MJO was in phase 6 (Fig. 8, bottom row). Anomalies of atmospheric circulation were found supporting these ice anomalies. In phase 2, negative sea level pressure anomalies were centered over the Kara, Barents, and Labrador seas, with largely northerly wind anomalies east of Greenland and near-calm winds west of Greenland. In phase 6, sea level pressures were above normal over the Kara Sea and below-normal over Baffin Bay, with largely southerly wind anomalies over the Greenland Sea and negative anomalies over the Davis Strait. Northerly (southerly) wind anomalies would tend to push ice away from (toward) the summer-season ice source, the central Arctic Ocean, and toward (away from) land, supporting the near-shore ice anomalies seen in phases 2 and 6 (Fig. 8). Near-normal temperature anomalies were found over the North Atlantic sector in both phases, suggesting that for the North Atlantic, July variability in sea ice was driven primarily by variability in surface wind, in good agreement with Kwok (2008), Ogi et al. (2008), and Zhang et al. (2013).
Fig. 8

As in Fig. 6, but for phases 2 and 6 for July

In the Siberian sector in July, on days when the MJO was in phase 1 (Fig. 9, top row), mostly negative anomalies in daily ΔSIC were located over the Kara and Laptev seas. On days when the MJO was in phase 5, ice concentration anomalies were reversed, with mostly positive change in sea ice concentration over the Kara and Laptev seas (Fig. 9, bottom row). Similar to the North Atlantic sector (and unlike January), atmospheric anomalies by MJO phase were mostly neutral in the Siberian sector, with a few small but key anomalies in sea level pressure driving changes in surface wind that explain observed changes in ice. For example, during phase 1, sea level pressures were negative over the Kara Sea and positive over the northern East Siberian Sea, yielding weakly positive surface wind anomalies that would act to transport ice poleward, supporting observed negative changes in ice concentration over the Siberian sector. During phase 5, the pressure dipole pattern reversed, with positive sea level pressures over the Kara Sea and negative pressures over the East Siberian Sea, yielding anomalously northerly surface winds that would act to push ice out of the central Arctic and into the Siberian sector, supporting observed positive chances in ice concentration.
Fig. 9

As in Fig. 6, but for phases 1 and 5 for July

4 Discussion and conclusions

The goal of this paper was to explore variability in the Arctic atmosphere and sea ice concentration, and to connect such variability with phases of the MJO. Recent studies have heralded significant association between phase of the MJO and high-latitude terrestrial surface air temperature, atmospheric circulation, geopotential height, specific humidity (Ferranti et al. 1990; Higgins and Mo 1997; Matthews et al. 2004; Vecchi and Bond 2004; Zhou and Miller 2005; Cassou 2008; Lin and Brunet 2009). In addition, modulation of the Arctic atmosphere specifically by phase of MJO has also been documented (L’Heureux and Higgins 2008; Yoo et al. 2011). However, none of the previous works cited have considered associations between sea ice concentration and phase of MJO.

The three principal findings of the current study are as follows. (1) The MJO projects onto the Arctic atmosphere in both winter (NDJ) and summer (MJJ) seasons. This projection was evident from the distinct wavy pattern in 500-hPa geopotential height anomalies (Figs. 3, 4), and it confirms the earlier work of Vecchi and Bond (2004) and Yoo et al. (2012). Both location and sign of height anomalies displayed a tendency to flip every 3–5 phases of the MJO. This MJO-mid tropospheric connection also proved robust, being visible in 3-month seasonal plots with statistically significant anomalies at the 95 % level, in both winter and summer seasons. Furthermore, in NDJ, height anomalies in phase 2 resembled positive AO polarity while height anomalies in phases 6 and 7 resembled negative AO polarity, in good agreement with Flatau and Kim (2013). (2) Variability in sea ice concentration by phase of MJO was found in both summer and winter seasons, and this variability was supported by corresponding anomalies in the state of the atmosphere. The magnitude of variability tended to shift largely with the migration of the ice margin poleward (equatorward) during the summer (winter) period. By computing anomalous ΔSIC per month, and binning by phase of MJO, active regions of coherent ice concentration variability were identified in both Atlantic and Pacific sectors for specific phases during January (Figs. 6, 9) and for North Atlantic and Siberian sectors during July. The signs of anomalies (positive or negative) for specific MJO phases changed with season. In January, areas of positive (negative) ΔSIC in the Atlantic sector were collocated with southerly (northerly) wind anomalies, with southerly (northerly) winds pushing ice toward (away from) land resulting in anomalously positive (negative) change in concentration. In the Pacific sector in January, areas of positive (negative) ΔSIC were collocated with negative (positive) surface temperature anomalies, with colder (warmer) surface temperatures promoting local increases (decreases) in ice concentration. In July, areas of positive (negative) ΔSIC in both the North Atlantic and Siberian sectors were collocated with northerly (southerly) surface wind anomalies, as unlike in January, northerly (southerly) winds acted to push ice away from (toward) the primary ice source region (the central Arctic), leading to positive (negative) changes in ice concentration. Sea level pressure anomalies were found to support the observed variability in surface wind. (3) The MJO modulates Arctic sea ice regionally, often resulting in dipole-shaped variability between anomaly centers. The most commonly observed dipoles occurred between the Barents and Greenland seas in January, in agreement with Ivanova et al. (2012). All four sectors (Atlantic and Pacific in winter, and North Atlantic and Siberian in summer) demonstrated instances of ice anomalies that changed sign approximately every 3–4 phases of the MJO, as evidenced from the January and July examples presented in this study. These changes in sign of anomalous ΔSIC corresponded with similar changes in surface pressure, surface wind, and mid-tropospheric geopotential height, and suggest a physical robustness to the MJO-sea ice relationship.

It is important to note that accelerating decline in extent of multi-year sea ice over the last several decades has cast some doubt on earlier findings of ice-climate relationships, particularly between sea ice and phase of the NAO. For example, during winter, cyclonic surface air flow promotes ice export through the Fram Strait (Jung and Hilmer 2001), particularly export of multi-year ice (Deser and Teng 2008), leaving the newer, thinner pack more vulnerable to forcings including enhanced downward longwave radiation (Francis and Hunter 2006) and circulation (Comiso 2006; Maslanik et al. 2007; Francis and Hunter 2007). This process has accelerated with the changing character of sea ice, and perhaps also expanded the ice margins that are susceptible to changes in atmospheric circulation and temperature that vary by phase of the MJO. To mitigate potential effects of the long-term decline in overall sea ice extent, in this study, we imposed several restrictions on the sea ice concentration data. First, we only examined daily ΔSIC that was more than one standard deviation above (or below) normal. Second, we excluded grid points from the analysis with fewer than 6 days of non-zero daily change in sea ice concentration (thus ensuring focus on the ice margins). Third, only sea ice anomalies that were statistically significant at the 95 % confidence interval were plotted in Figs. 6, 7, 8, 9 (column four of each figure). These three restrictions served to amplify the MJO-ice signal by removing regions of insignificant variability, particularly toward the center of the Arctic.

The results presented in this paper show statistically significant variability in Arctic sea ice by phase of the MJO that is well supported by corresponding tendencies in surface wind and surface air temperature. While the specific phase relationships may well change, the MJO will continue to project onto the Arctic and modify sea ice at the ice margins, and may become even more prominent due, in particular, to the decline in thicker multi-year ice. With the tendency for thinner and more vulnerable first-year ice to occupy a greater fraction of the Arctic, the MJO-sea ice relationship shown here may become even more prominent under our changing Arctic climate. A follow-on study is underway to explore these future relationships.

Acknowledgments

The authors thank American Society for Engineering Education (ASEE) Science and Engineering Apprenticeship Program (SEAP) interns Anna Haschert and Cassandra Marino for assistance in manuscript preparation. Funding for this research was provided by the National Science Foundation under Grant ARC-1203843.

Copyright information

© The Author(s) 2014

Open AccessThis article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited.

Authors and Affiliations

  • Gina R. Henderson
    • 1
  • Bradford S. Barrett
    • 1
  • Donald M. Lafleur
    • 1
  1. 1.Oceanography DepartmentU.S. Naval AcademyAnnapolisUSA

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