Please note: You are viewing the unstyled version of this website. Either your browser does not support CSS (cascading style sheets) or it has been disabled. Skip navigation.

Potential climate change scenario and factors driving variability

   Print Change text to small (default) Change text to medium Change text to large

Enlarge Image

Figure 1.  Arctic–NASR idealized atmosphere–ice–ocean climate system with feedbacks regulating decadal variability. A plus sign denotes mechanisms with positive feedback between two cells (i.e. an increase/decrease in one cell causes an increase/decrease in the second), a minus sign denotes mechanisms with negative feedback (i.e. an increase/decrease in one cell causes a decrease/increase in the second). Portions in black represent the idealized behavior of a closed system under stable climate conditions. Green portions of the schematic represent the influence of FW fluxes from Greenland on parameters of the Arctic–NASR system. For this case, the new system is not closed. AT, SSS and FW stand for air temperature, sea surface salinity and freshwater, respectively.


Enlarge Image

Figure 2. Top panels show prevailing wind direction (large arrow) Ekman transport  (small arrows) and sea level pressure for anticyclonic (left) and cyclonic (right) circulation regimes (Proshutinsky et al., 2015) . Bottom panel shows time series of the Arctic Ocean Oscllation (AOO) index where blue bars indicate years af anticyclonic circulation regime and red bars depict years with cyclonic circulation regimes. GSA – Great Salinity Anomalies associated with cyclonic circulation regimes are also shown in this panel.


Enlarge Image

Figure 3.  Duration of circulation regimes as simulated by the box model. Blue and red bars indicate ACCR and CCR years, respectively. Panels show model runs without (a), with observed (b) and doubled (c) freshwater flux from Greenland. The black vertical dashed line marks the start of the Greenland freshwater flux addition.


In this BG project results essay (see more details in Proshutinsky et al., 2015) we provide some historical overview on the hypotheses explaining Arctic decadal climate variability and then describe some theoretical, empirical and model-based evidence that the BG freshwater reservoir is an important element of the Northern Hemisphere climate system.

1.  Conceptual models

Several conceptual models of Arctic climate decadal variability have been introduced since the 1990s (Ikeda, 1990; Mysak and Power, 1992; Mysak and Venegas, 1998; Ikeda et al., 2001; Goose et al., 2002) and recently in Proshutinsky et al., [2002]; Dukhovskoy et al. [2002, 2006a, 2006b]. Mechanisms for multi-decadal Arctic change have also been studied (Polyakov and Johnson, 2000; Wyatt and Curry, 2013) but here we focus in particular on decadal variability.

One key element of decadal-change conceptual models is the freshwater flux from the Arctic Ocean to the North Atlantic, and another is the atmospheric heat flux from the North Atlantic to the Arctic (Figure 1). Compelling manifestations of the link between the Arctic and the North Atlantic are: (1) salinity anomalies that originated in the Arctic  and propagated in the subpolar gyre in the 1970s, 1980s, and 1990s as Great Salinity Anomalies, GSAs (Dickson et al., 1988; Belkin et al., 1998; Aagaard and Carmack, 1989); (2) atmospheric warming and cooling events that are related to the intensity of cyclone activity in the central and eastern Arctic (Serrese et al., 1997; Rigor et al., 2000)and coupled to the Arctic atmospheric circulation (Proshutinsky and Johnson, 1997; Thompson and Wallace, 1998).

To explain the observed decadal changes in Arctic climate, a conceptual hypothesis (Proshutinsky et al., 2002) was formulated. In this hypothesis, the freshwater and heat exchange between the Arctic Ocean and North Atlantic are self-regulated and their interactions are realized via decadal auto-oscillations. Based on this work an idealized multi-box model of the Arctic Ocean and North Atlantic Sub-polar Region (NASR) ocean–ice–atmosphere system was developed and employed (Dukhovskoy et al., 2004, 2006a, 2006b) to demonstrate how the system oscillates between an anticyclonic circulation regime (ACCR) and a cyclonic circulation regime (CCR).

A detailed description of the multi-box model is provided in Dukhovskoy et al., [2006a], while only a brief outline follows here. The prognostic model consists of two coupled modules: an Arctic Ocean and a NASR module, where each includes a coupled sea ice-ocean box model and an atmospheric model. The sea ice-ocean model consists of a thermodynamic ice model and a mixed layer-pycnocline model, with prognostic variables: water temperature and salinity, mixed layer depth, and sea-ice thickness. Ocean heat and salt fluxes are specified at the open boundaries of the two modules (Bering Strait, rivers, and North Atlantic), and fluxes between the modules are calculated from simulated temperature, salinity and the density gradient between the Arctic and NASR. The atmosphere in the Arctic model is treated via an energy balance, and surface air temperature in the NASR module is calculated as modeled temperature anomaly superimposed on a climatological daily value. The atmospheric heat flux between NASR and Arctic modules is taken to be proportional to the temperature difference between the two atmospheric modules. The full model is forced by daily solar radiation, wind stress, and river runoff. For validation purposes, results from model experiments reproducing seasonal and decadal variability of the major system parameters were analyzed and compared with observations and other models (Dukhovskoy et al., 2004, 2006a, 2006b).

It is obvious that such a multi-box model has several limitations: it does not include dynamics of the atmosphere, ice and ocean; the modeled system is closed, and there are no influences from the global ocean and atmosphere; and the model cannot show pathways of freshwater from the Arctic Ocean to the sub-polar convective gyres. Nevertheless, the advantage of the box model is its simple formulation that allows one to investigate the basic relationships between components of the studied climate system. This task is not straight-forward with coupled atmosphere-ice-ocean models, where extricating the role of internal mechanisms in climate shifts is complicated by too many other factors.

2.   Circulation regimes

It is important to note that in this multi-box model, regime shifts are controlled by atmospheric heat fluxes from the NASR and freshwater fluxes from the Arctic Ocean.

The idealized Arctic-NASR climate system (Figure 1) shows that the reduced atmospheric heat advection to the Arctic results in lower-than-normal Arctic atmospheric temperature, higher-than-normal sea level atmospheric pressure and negative atmospheric vorticity (ACCR). ACCR wind forcing leads to freshwater accumulation in the Arctic Ocean (in the BG region) via processes of Ekman convergence and reduction of freshwater flux to the NASR, which increases sea surface salinity in the NASR and promotes intensification of deep convection preconditioned by weaker water column stability (Proshutinsky et al., 2002; Malmberg and Johnsson, 1997).

Anticyclonic regime: (see also Figure 2) During this regime, the NASR releases heat accumulated in the deep ocean layers to the atmosphere leading to a warmer-than-normal atmosphere and to the intensification of cyclogenesis. This atmospheric heat is transported to the Arctic with cyclones and contributes to a positive atmospheric vorticity (CCR) over the Arctic Ocean due to the substantial reduction in the Arctic sea level atmospheric pressure. This state lasts approximately 5-7 years (half period of oscillation).

Cyclonic regime: (see also Figure 2) During the second half of this oscillation (5-7 years), positive atmospheric vorticity (cyclonic winds) forces increased freshwater flux from the Arctic Ocean (from BG region) to the NASR and reduces NASR surface salinity. Consequently, strengthened upper-ocean stratification leads to reduced NASR convection, reduced heat flux from the ocean to the atmosphere and from the NASR toward the Arctic Ocean, and the Arctic circulation regime shifts to an ACCR. The ACCR is characterized by predominantly negative vorticity and colder than normal Arctic and NASR atmospheres.

Solutions obtained in the Arctic Ocean and NASR box model well reproduced the observed evolution of the major anomalies in the ocean temperature and salinity structure, sea ice volume, and freshwater fluxes during ACCR and CCR regimes prior to approximately 1997. However, after 1997, the real climate system does not behave according to the predictions of the conceptual models described above. After 1997, the AOO index is positive (Figure 2) and exhibits only weak interannual variability associated with the strength of the ACCR with no shift in annual mean conditions from an ACCR to CCR. Similarly, other conceptual models cited above do not have a mechanism to explain and predict the recent large-scale anticyclonic circulation observed in the Arctic.

3.  Increased Greenland freshwater flux as a mechanism for regime shift cessation

Following our conceptual model, the prevailing ACCR should have switched to a CCR in the early 2000s. Instead, the Arctic has been characterized by an ACCR since 1997 at least until 2015, (Figure 2). Results of the Beaufort Gyre Observing System (Proshutinsky et al., 2009, 2011; Krishfield et al., 2014) indicate anomalously high freshwater accumulation (5000 km3 relative to reference salinity of 34.8) in the Beaufort Gyre since the start of the present ACCR in 1997. At the same time, the GIN Sea as part of the NASR shows a warming of the deep layers in the 2000s that has been attributed to a cessation of deep convection in the region (Somavilla et al., 2013) – conditions that typically develop during a CCR when freshwater is released from the Arctic Ocean. Following our conceptual model, one would expect enhanced deep convection and cyclone formation over the NASR (enabled by reduced freshwater fluxes from the Arctic) would have resulted in a regime shift from ACCR to CCR nearly a decade ago due to freshwater release from the Arctic Ocean. However, analyses of freshwater fluxes through Fram Strait (de Steur et al., 2009; Mauritzen et al., 2011) purport that the Fram Strait annual mean freshwater flux does not show any large variations since 2002.

We hypothesize that there is at least one additional factor, neglected in the multi-box model formalism, which has been influencing NASR conditions and has disrupted the auto-oscillatory decadal AOO index variability. The discussed Arctic Ocean – NASR system was viewed as a closed system (the black portions in Figure 2) but  in recent decades, anomalously warm atmospheric temperatures have led to increased Greenland melt, driving an important external forcing to the Arctic Ocean-NASR system (Figure 1, green part). Recent assessments of freshwater flux from Greenlandshow that during 1992-2010 this flux to the Arctic Ocean and NASR increased by 36% (Bamber et al., 2012). We speculate that the excess freshwater advected into the NASR may have significant impact to deep convection (with subsequent atmospheric cooling and reduction of cyclonic activity). The effect would be to impede the decadal oscillations that were a feature of the observations and well-represented by our idealized multi-box model (without a contribution to freshwater from Greenland) prior to the 2000s. Figure 1 (green part) schematically represents the influence of freshwater fluxes from Greenland on parameters in the Arctic – NASR system via reduction of NASR surface salinity, suppressing deep convection and maintaining a negative atmospheric vorticity (ACCR) over the Arctic.

To examine this central idea, we ran a multi-box model simulation incorporating the additional Greenland freshwater source. After 50 years, an additional freshwater flux is superimposed (following an appropriate seasonal cycle) on the total NASR freshwater input; the annual average of the additional freshwater flux is comparable to the estimated annual inflow from Greenland melt (~46 km3/yr, (Bamber et al., 2012). We then ran a second simulation doubling the freshwater flux anomaly to the NASR box.

The control run with no freshwater flux from Greenland produces quasi-decadal oscillations between ACCRs and CCRs (Figure 3a) that are similar to AOO variability (Figure 2) until 2002, while the additional freshwater flux resulted in significantly longer ACCRs  (Figure 3b), consistent with observations after 1997. A doubling of the volume flux of freshwater (Figure 3c) from Greenland to the NASR (not inconceivable in the future given present warming and Greenland melting trends (Frauenfeld et al., 2011; Kobashi et al., 2010) resulted in extreme changes in the system behavior with ACCRs dominating for more than 3 decades, separated by CCRs with 3-4 year duration. These idealized modeling results are consistent with our broad hypothesis that additional freshwater fluxes from Greenland melt may be sufficient to suppress the established Arctic decadal variability.

In the experiments described above, freshening of the upper NASR plays the key role in disrupting the auto-oscillatory behavior of the Arctic Ocean – NASR system. An additional freshwater flux from Greenland may impact water column stability and suppress convection in the NASR, reducing air-sea heat fluxes and leading to lower than normal atmospheric temperature in the NASR and Arctic Ocean. Freshening of the upper NASR also acts to maintain the small dynamic height difference between the Arctic Ocean and the NASR (and to reduce the potential for freshwater release from the Arctic Ocean to the NASR) and with the generally accepted view of convection processes in the NASR.

There have been several numerical studies, employing models having a range of complexities and resolutions, to investigate the role of freshwater flux increase from Greenland on the intensity of the Atlantic meridional overturning circulation(Driesschaert et al., 2013; Swingedouw et al., 2013; Marsh et al., 2010). Results show that depending on model resolution, applied forcing and duration of simulation, the influences of Greenland ice melt on the Atlantic meridional overturning circulation and on the Arctic and NASR conditions differ substantially. In general, however, results of these model studies indicate that freshwater release from Greenland weakens or interrupts decadal variability but mechanisms and processes responsible for decadal changes are not discussed.

4.   Future scenario for circulation regimes

Based on the analysis presented here we speculate that:

  • Ocean-atmosphere heat fluxes in the NASR vary with circulation regimes and regulate interactions between the Arctic Ocean and NASR. Ocean to atmosphere heat fluxes in the NASR are larger during ACCRs (compared to CCRs) supporting cyclogenesis and ultimately a regime shift to a CCR;
  • The duration of ACCRs and CCRs in a changing climate will be different from those in the 20st century; a new mode of variability in the Arctic may consist of long-duration ACCRs, separated by relatively short duration CCRs.
  • The major cause of cessation of decadal variability is the monotonically increasing freshwater flux anomaly from Greenland that began in the mid 1990s.

One important uncertainty in our analysis is that available time series observations are not sufficiently long to verify the hypothesized causality of the Arctic climate variability and Greenland melt (which itself varies on multi-decadal timescales (Frauenfeld et al., 2011; Kobashi et al., 2010).  Nevertheless, the data together with idealized modeling and physical context provides compelling evidence that input of fresh Greenland melt to the surface high-latitude regions can interrupt decadal variability of the Arctic – NASR system. While most predictions of future Arctic climate under global warming are done by extending observed trends in environmental variables, the effects of global warming are likely not to be monotonic due to complex feedbacks and relationships between Arctic environmental parameters, as has been discussed here. We speculate that under the new scenario presented here it is plausible that continued Greenland melt supporting longer duration ACCRs could result in Arctic cooling accompanied by increased ice extent and thickness, similar to conditions observed in the 1970s. This is because enhanced upper ocean stratification in the NASR will continue to inhibit heat exchange between the ocean and atmosphere and subsequently – transport of heat by cyclones to the Arctic. This could have broad-reaching climate implications under global warming as it limits the advection of heat from the mid-latitudes and is therefore a negative feedback on Arctic amplification.

References

Aagaard, K. &  Carmack E. C.  The role of sea ice and freshwater in the Arctic circulation. J. Geophys. Res. 94, 14,485 – 14,498 (1989).

Bamber, J., M. van den Broeke, Ettema, J., Lenaerts, J. & Rignot E. Recent large increases in freshwater fluxes from Greenland into the North Atlantic. Geophys. Res. Lett. 39, L19501, (2012).

Belkin, I. M., Levitus, S.,  Antonov, J. & Malmberg S-A.  “Great Salinity Anomalies” in the North Atlantic. Prog. in Oceanogr. 41, 1, 1-68 (1998).

De Steur, L. et al. Freshwater fluxes in the East Greenland Current: A decade of observations, Geophys. Res. Lett., 36, L23611 (2009).

Dickson, R. R., Meincke, J., Malmberg, S. A. & Lee,  L. J. The great salinity anomaly in the northern North Atlantic 1968–1982. Prog. Oceanogr. 20, 103–151 (1988).

Driesschaert, E. et al. Modeling the influence of Greenland ice sheet melting on the Atlantic meridional overturning circulation during the next millennia, Geophys. Res. Lett. 34, L10707 (2007).

Dukhovskoy DS, Johnson M, Proshutinsky A.  2004 Arctic decadal variability: An auto-oscillatory system of heat and fresh water exchange. Geophys. Res. Lett.,31, L03302. (doi:10.1029/2003GL019023)

Dukhovskoy DS, Johnson M, Proshutinsky A.  2006a  Arctic decadal variability from an idealized atmosphere-ice-ocean model: 1. Model description, calibration, and validation.  J.  Geophys. Res.111. C06028. (doi:10.1029/2004JC002821)

Dukhovskoy DS, Johnson M, Proshutinsky A. 2006b.  Arctic decadal variability from an idealized atmosphere-ice-ocean model: 2. Simulation of decadal oscillations.  J. of Geophys. Res. 111, C06029. (doi:10.1029/2004JC002820)

Frauenfeld, O.W., P.C. Knappenberger, and P.J. Michaels A reconstruction of annual Greenland ice melt extent, 1785-2009. Journal of Geophysical Research, 116, D08104, doi: 10.1029/2010JD014918, (2011).

Goosse, H. et al. A mechanism of decadal variability of the sea-ice volume in the Northern Hemisphere. Clim. Dyn. 19, 61– 83 (2002).

Ikeda, M. Decadal oscillations of the air-ice-ocean system in the northern hemisphere. Atmos. Ocean 28, 106– 139 (1990).

Ikeda, M., Wang, & Zhao, J. P. Hypersensitive decadal oscillations in the Arctic/subarctic climate, Geophys. Res. Lett. 28, 1275– 1278 (2001).

Kobashi T., J. P. Severinghaus J.-M. Barnola, K. Kawamura, T. Carter, T. Nakaegawa Persistent multi-decadal Greenland temperature fluctuation through the last millennium, Climate Change, 100:733-756, DOI 10.1007/s10584-009-9689-9, (2010).

Krishfield RA, Proshutinsky A, Tateyama K, Williams WJ, Carmack EC, McLaughlin FA, Timmermans M-L. 2014 Deterioration of perennial sea ice in the Beaufort Gyre  from 2003 to 2012 and its impact on the oceanic freshwater cycle, J. Geophys. Res. Oceans, 119, 12711305, doi:10.1002/2013JC008999.

Malmberg, S.-A. & Jonsson S. Timing of deep convection in the Greenland and Iceland Seas, ICES Journal of Marine Science, 54, 300-309 (1997).

Marsh R. et al. Short-term impacts of enhanced Greenland freshwater fluxes in an eddy-permitting ocean model. Ocean Sci. 6, 749-760 (2010).

Mauritzen, C. et al. Closing the loop - Approaches to monitoring the state of the Arctic Mediterranean during the International Polar Year 2007-2008. Progress in Oceanography, 90 (1-4), 62-89 (2011).

Mysak, L. A. &  Power, S. B. Sea-ice anomalies in the western Arctic and Greenland-Icelandic Sea and their relation to an interdecadal climate cycle. Clim. Bull., 26, 147– 176 (1992).

Mysak, L. A. & Venegas, S. A.  Decadal climate oscillations in the Arctic: A new feedback loop for atmospheric-ice-ocean interactions. Geophys. Res. Lett. 25(19), 3607– 3610 (1998).

Proshutinsky A, Johnson M.1997 Two circulation regimes of the wind-driven Arctic Ocean. J. Geophys. Res. 102, 12,493–12,514.

Proshutinsky A, Bourke RH, McLaughlin FA.  2002 The role of the Beaufort Gyre in Arctic climate variability: Seasonal to decadal climate scales. Geophys. Res. Lett. 29, 2100, doi:10.1029/2002GL015847.

Proshutinsky A, Krishfield R, Timmermans M-L, Toole J, Carmack E, McLaughlin FA,Williams WJ, Zimmermann S, Itoh M, Shimada K. 2009 The Beaufort Gyre Fresh Water Reservoir: State and variability from observations. J. Geophys. Res. 114 (doi:10.1029/2008 JC0055104)

Proshutinsky A. et al., The  Arctic (Ocean)  [in "State of the Climate in 2011"]. Bull. Amer. Meteor. Soc., 93 (7), S142-S147 (2012).

Rigor, I. G., Colony, R. & Martin S.(2000), Variations in surface air temperature observations in the Arctic, 1979–97, J. Clim., 13, 896– 914 (2000).

Serreze, M. C., Carse, F. & Barry R. G.  Icelandic Low cyclone activity: Climatological features, linkages with the NAO, and relationships with recent changes in the Northern Hemisphere circulation. J. Clim., 10, 453– 464 (1997).

Somavilla, R., Schauer, U., & Budéus, G. Increasing amount of Arctic Ocean deep waters in the Greenland Sea, Geophys. Res. Lett., 40(16), 4361-4366 (2013).

Swingedouw D. et al. Decadal fingeprints of freshwater discharge around Greenland in a multi-model ensemble. Clim Dyn 41, 695-720 (2013).

Thompson, D. W. J. & Wallace J. M. The Arctic Oscillation signature in the wintertime geopotential height and temperature fields, Geophys. Res. Lett., 25(9), 1297–1300 (1998).

Wyatt, M. G. & Curry J. A.  Role for Eurasian Arctic shelf sea ice in a secularly varying hemispheric climate signal during the 20th century. Clim. Dyn. (2013).



Last updated: November 6, 2019
 


whoi logo

Copyright ©2007 Woods Hole Oceanographic Institution, All Rights Reserved, Privacy Policy.
Problems or questions about the site, please contact webdev@whoi.edu
Contact | Site Map | Arctic Group