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Influence of North Atlantic climate variability on glacier mass balance in Norway, Sweden and Svalbard

  • DAVID BROOKING BONAN (a1), JOHN ERICH CHRISTIAN (a2) and KNUT CHRISTIANSON (a2)

Abstract

Climate variability can complicate efforts to interpret any long-term glacier mass-balance trends due to anthropogenic warming. Here we examine the impact of climate variability on the seasonal mass-balance records of 14 glaciers throughout Norway, Sweden and Svalbard using dynamical adjustment, a statistical method that removes orthogonal patterns of variability shared between each mass-balance record and sea-level pressure or sea-surface temperature predictor fields. For each glacier, the two leading predictor patterns explain 27–81% of the winter mass-balance variability and 24–69% of the summer mass-balance variability. The spatial and temporal structure of these patterns indicates that accumulation variability for all of the glaciers is strongly related to the North Atlantic Oscillation (NAO), with the Atlantic Multidecadal Oscillation (AMO) also modulating accumulation variability for the northernmost glaciers. Given this result, predicting glacier change in the region may depend on NAO and AMO predictability. In the raw mass-balance records, the glaciers throughout southern Norway have significantly negative summer trends, whereas the glaciers located closer to the Arctic have negative winter trends. Removing the effects of climate variability suggests it can bias trends in mass-balance records that span a few decades, but its effects on most of the longer-term mass-balance trends are minimal.

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Copyright

This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.

Corresponding author

Correspondence: David Bonan <dbonan@uw.edu>

References

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Andreassen, LM, Nordli, Ø, Rasmussen, A and Melvold, K (2012) Langfjordjøkelen, a rapidly shrinking glacier in northern Norway. J. Glac., 58(209), 581593 (doi: 10.3189/2012JoG1)
Andreassen, LM, Elvehøy, H, Kjøllmoen, B, and Engeset, RV (2016) Reanalysis of long-term series of glaciological and geodetic mass balance for 10 Norwegian glaciers. The Cryosphere, 10(2), 535552 (doi: 10.5194/tc-10-535-2016)
Barnston, AG and Livezey, RE (1987) Classification, seasonality and persistence of low-frequency atmospheric circulation patterns. Mon. Weather Rev., 115(6), 10831126 (doi: 10.1175/1520-0493(1987)115<1083:CSAPOL>2.0.CO;2)
Bartlett, MS (1946) On the theoretical specification and sampling properties of autocorrelated time-series. J. Royal Stat. Soc., 8(1), 2741 (doi: 10.2307/2983611)
Bitz, C and Battisti, D (1999) Interannual to decadal variability in climate and the glacier mass balance in Washington, western Canada, and Alaska. J. Clim., 12(11), 31813196 (doi: 10.1175/1520-0442(1999)012<3181:ITDVIC>2.0.CO;2)
Bjørk, AA and 13 others (2018) Changes in Greenland's peripheral glaciers linked to the North Atlantic Oscillation. Nat. Clim. Change, 8(1), 48 (doi: 10.1038/s41558-017-0029-1)
Braithwaite, RJ (2009) After six decades of monitoring glacier mass balance we still need data but it should be richer data. Ann. Glac., 50(50), 191197 (doi: 10.3189/172756409787769573)
Burke, EE and Roe, GH (2014) The absence of memory in the climatic forcing of glaciers. Clim. Dyn., 42(5–6), 13351346 (doi: 10.1007/s00382-013-1758-0)
Christian, JE, Siler, N, Koutnik, M and Roe, G (2016) Identifying dynamically induced variability in glacier mass-balance records. J. Clim., 29(24), 89158929 (doi: 10.1175/JCLI-D-16-0128.1)
Clement, A and 6 others (2015) The Atlantic Multidecadal Oscillation without a role for ocean circulation. Science, 350(6258), 320324 (doi: 10.1126/science.aab3980)
Day, J, Hargreaves, J, Annan, J and Abe-Ouchi, A (2012) Sources of multi-decadal variability in Arctic sea ice extent. Environ. Res. Lett., 7(3), 034011 (doi: 10.1088/1748-9326/7/3/034011)
Deser, C, Walsh, JE and Timlin, MS (2000) Arctic sea ice variability in the context of recent atmospheric circulation trends. J. Clim., 13(3), 617633 (doi: 10.1175/1520-0442(2000)013<0617:ASIVIT>2.0.CO;2)
Deser, C, Phillips, A, Bourdette, V and Teng, H (2012) Uncertainty in climate change projections: the role of internal variability. Clim. Dyn., 38(3–4), 527546 (doi: 10.1007/s00382-010-0977-x)
Deser, C, Terray, L and Phillips, AS (2016) Forced and internal components of winter air temperature trends over North America during the past 50 years: Mechanisms and implications. J. Clim., 29(6), 22372258 (doi: 10.1175/JCLI-D-15-0304.1)
Elsberg, D, Harrison, W, Echelmeyer, K and Krimmel, R (2001) Quantifying the effects of climate and surface change on glacier mass balance. J. Glac., 47(159), 649658 (doi: 10.3189/172756501781831783)
Enfield, DB, Mestas-Nuñez, AM and Trimble, PJ (2001) The Atlantic Multidecadal Oscillation and its relation to rainfall and river flows in the continental US. Geophys. Res. Lett., 28(10), 20772080 (doi: 10.1029/2000GL012745)
Engelhardt, M, Schuler, TV and Andreassen, LM (2015) Sensitivities of glacier mass balance and runoff to climate perturbations in Norway. Ann. Glac., 56(70), 7988 (doi: 10.3189/2015AoG70A004)
Flato, G and others (2014) Evaluation of climate models. 741866.
Fleig, A and 7 others (2013) Norwegian Hydrological Reference Dataset for climate change studies. NVE Report, 2–2013.
Frankignoul, C and Hasselmann, K (1977) Stochastic climate models, Part II Application to sea-surface temperature anomalies and thermocline variability. Tellus, 29(4), 289305 (doi: 10.3402/tellusa.v29i4.11362)
Guan, X, Huang, J, Guo, R and Lin, P (2015) The role of dynamically induced variability in the recent warming trend slowdown over the Northern Hemisphere. Sci. Rep., 5, 12669 (doi: 10.1038/srep12669)
Hahn, L, Ummenhofer, CC and Kwon, YO (2018) North Atlantic natural variability modulates emergence of widespread Greenland melt in a warming climate. Geophys. Res. Lett., 45(17), 91719178 (doi: 10.1029/2018GL079682)
Hasselmann, K (1976) Stochastic climate models part I. Theory. Tellus, 28(6), 473485 (doi: 10.3402/tellusa.v28i6.11316)
Hawkins, E and Sutton, R (2009) The potential to narrow uncertainty in regional climate predictions. Bull. Amer. Meteor. Soc., 90(8), 10951107 (doi: 10.1175/2009BAMS2607.1)
Holmlund, P and Jansson, P (1999) The tarfala mass balance programme. Geografiska Annaler: Series A, Physical Geography, 81(4), 621631.
Hurrell, JW (1995) Decadal trends in the North Atlantic Oscillation: regional temperatures and precipitation. Science, 269(5224), 676679 (doi: 10.1126/science.269.5224.676)
Hurrell, JW and Deser, C (2010) North Atlantic climate variability: the role of the North Atlantic Oscillation. J. Mar. Syst., 79(3–4), 231244 (doi: 10.1016/j.jmarsys.2008.11.026)
Hurrell, JW, Kushnir, Y, Ottersen, G and Visbeck, M (2003) An overview of the North Atlantic oscillation. Amer. Geophys. Union, 134, 135.
Huss, M, Hock, R, Bauder, A and Funk, M (2010a) 100-year glacier mass changes in the Swiss Alps linked to the Atlantic Multidecadal Oscillation. Geophys. Res. Lett., 37(10), L10501 (doi: 10.1029/2010GL042616)
Huss, M, Hock, R, Bauder, A and Funk, M (2010b) Reply to the Comment of Leclercq et al. on “100-year mass changes in the Swiss Alps linked to the Atlantic Multidecadal Oscillation”. Cryosphere Dis., 4, 25872592 (doi: 10.5194/tcd-4-2587-2010)
Kalnay, E and 21 others (1996) The NCEP/NCAR 40-year reanalysis project. Bull. Amer. Meteor. Soc., 77(3), 437471 (doi: 10.1175/1520-0477(1996)077<0437:TNYRP>2.0.CO;2)
Kjøllmoen, B, Andreassen, LM, Elvehøy, H, Jackson, M and Melvold, K (2017) Glaciological investigations in Norway 2016. NVE Report, 76, 95.
Knight, JR, Folland, CK and Scaife, AA (2006) Climate impacts of the Atlantic Multidecadal Oscillation, Geophys. Res. Lett., 33(17), L17706 (doi: 10.1029/2006GL026242)
Latif, M and Barnett, TP (1994) Causes of decadal climate variability over the North Pacific and North America. Science, 266(5185), 634637 (doi: 10.1126/science.266.5185.634)
Leclercq, P, Van de Wal, R and Oerlemans, J (2010) Comment on “100-year mass changes in the Swiss Alps linked to the Atlantic Multidecadal Oscillation” by Matthias Huss et al. (2010). Cryosphere Dis., 4(4), 24752481 (doi: 10.5194/tcd-4-2475-2010)
Lehner, F, Deser, C and Terray, L (2017) Toward a new estimate of “time of emergence” of anthropogenic warming: insights from dynamical adjustment and a large initial-condition model ensemble. J. Clim., 30(19), 77397756 (doi: 10.1175/JCLI-D-16-0792.1)
Leith, C (1973) The standard error of time-average estimates of climatic means. J. Appl. Meteorol. Climatol., 12(6), 10661069 (doi: 10.1175/1520-0450(1973)012<1066:TSEOTA>2.0.CO;2)
Lettenmaier, DP (1976) Detection of trends in water quality data from records with dependent observations. Water Resour. Res., 12(5), 10371046 (doi: 10.1029/WR012i005p01037)
Li, F, Orsolini, YJ, Wang, H, Gao, Y and He, S (2018) Atlantic Multidecadal Oscillation modulates the impacts of Arctic sea ice decline. Geophys. Res. Lett., 45(5), 24972506 (doi: 10.1002/2017GL076210)
Luterbacher, J, Dietrich, D, Xoplaki, E, Grosjean, M and Wanner, H (2004) European seasonal and annual temperature variability, trends, and extremes since 1500. Science, 303(5663), 14991503 (doi: 10.1126/science.1093877)
Mackintosh, AN and 5 others (2017) Regional cooling caused recent New Zealand glacier advances in a period of global warming. Nat. Commun., 8, 14202 (doi: 10.1038/ncomms14202)
Marshall, J and 9 others (2001) North Atlantic climate variability: phenomena, impacts and mechanisms. Int. J. Climatol., 21(15), 18631898 (doi: 10.1002/joc.693)
Marzeion, B and Nesje, A (2012) Spatial patterns of North Atlantic Oscillation influence on mass balance variability of European glaciers. Cryosphere, 6(3), 661673 (doi: 10.5194/tc-6-661-2012)
Marzeion, B, Cogley, JG, Richter, K and Parkes, D (2014) Attribution of global glacier mass loss to anthropogenic and natural causes. Science, 345(6199), 919921 (doi: 10.1126/science.1254702)
McCabe, Jr GJ and Fountain, AG (1995) Relations between atmospheric circulation and mass balance of South Cascade Glacier, Washington, USA. Arct. Antarct. Alp. Res., 27(3), 226233 (doi: 10.2307/1551953)
Medwedeff, WG and Roe, GH (2017) Trends and variability in the global dataset of glacier mass balance. Clim. Dyn., 48(9–10), 30853097 (doi: 10.1007/s00382-016-3253-x)
Miles, MW and 5 others (2014) A signal of persistent Atlantic multidecadal variability in Arctic sea ice. Geophys. Res. Lett., 41(2), 463469 (doi: 10.1002/2013GL058084)
Mutz, S, Paeth, H and Winkler, S (2016) Modelling of future mass balance changes of Norwegian glaciers by application of a dynamical–statistical model. Clim. Dyn., 46(5–6), 15811597 (doi: 10.1007/s00382-015-2663-5)
Nesje, A, Lie, Ø and Dahl, SO (2000) Is the North Atlantic Oscillation reflected in Scandinavian glacier mass balance records?. J. Quat. Sci., 15(6), 587601 (doi: 10.1002/1099-1417(200009)15:6<587::AID-JQS533>3.0.CO;2-2)
Nesje, A, Bakke, J, Dahl, SO, Lie, Ø and Matthews, JA (2008) Norwegian mountain glaciers in the past, present and future. Glob. Planet. Change, 60(1–2), 1027 (doi: 10.1016/j.gloplacha.2006.08.004)
NPI (2017) Austre Brøggerbreen, Midtre Lovénbreen, and Kongsvegen mass-balance time series. MOSJ, url: http://www.mosj.no/en/climate/land/mass-balance-glaciers.html
Oerlemans, J (2005) Extracting a climate signal from 169 glacier records. Science, 308(5722), 675677 (doi: 10.1126/science.1107046)
O'Reilly, CH, Huber, M, Woollings, T and Zanna, L (2016) The signature of low-frequency oceanic forcing in the Atlantic Multidecadal Oscillation. Geophys. Res. Lett., 43(6), 28102818 (doi: 10.1002/2016GL067925)
Pohjola, VA and Rogers, JC (1997) Atmospheric circulation and variations in Scandinavian glacier mass balance. Quat. Res., 47(1), 2936 (doi: 10.1006/qres.1996.1859)
Rasmussen, LA (2007) Spatial extent of influence on glacier mass balance of north atlantic circulation indices. Terra Glacialis, 10, 43758.
Rasmussen, L and Conway, H (2005) Influence of upper-air conditions on glaciers in Scandinavia. Ann. Glac., 42, 402408 (doi: 10.3189/172756405781812727)
Rayner, NA and 7 others (2003) Global analyses of sea surface temperature, sea ice, and night marine air temperature since the late nineteenth century. J. Geophys. Res., 108(D14) (doi: 10.1029/2002JD002670)
RGI Consortium, (2017) Randolph Glacier Inventory - A Dataset of Global Glacier Outlines: Version 6.0: Technical Report, Global Land Ice Measurements from Space, Colorado, USA. Digital Media, doi: 10.7265/N5-RGI-60
Rodwell, MJ, Rowell, DP and Folland, CK (1999) Oceanic forcing of the wintertime North Atlantic Oscillation and European climate. Nature, 398(6725), 320 (doi: 10.1038/18648)
Roe, GH (2011) What do glaciers tell us about climate variability and climate change?. J. Glac., 57(203), 567578 (doi: 10.3189/002214311796905640)
Roe, GH, Baker, MB and Herla, F (2017) Centennial glacier retreat as categorical evidence of regional climate change. Nat. Geosci., 10(2), 95 (doi: 10.1038/ngeo2863)
Siler, N, Proistosescu, C and Po-Chedley, S (2019) Natural Variability Has Slowed the Decline in Western US Snowpack Since the 1980s. Geophys. Res. Lett., 46(1), 346355 (doi: 10.1029/2018GL081080)
Smoliak, BV, Wallace, JM, Stoelinga, MT and Mitchell, TP (2010) Application of partial least squares regression to the diagnosis of year-to-year variations in Pacific Northwest snowpack and Atlantic hurricanes. Geophys. Res. Lett., 37(3), L03801 (doi: 10.1029/2009GL041478)
Smoliak, BV, Wallace, JM, Lin, P and Fu, Q (2015) Dynamical adjustment of the Northern Hemisphere surface air temperature field: methodology and application to observations. J. Clim., 28(4), 16131629 (doi: 10.1175/JCLI-D-14-00111.1)
Stocker, T (2014) Climate change 2013: the physical science basis: Working Group I contribution to the Fifth assessment report of the Intergovernmental Panel on Climate Change.
Sutton, RT and Hodson, DL (2005) Atlantic Ocean forcing of North American and European summer climate. Science, 309(5731), 115118 (doi: 10.1126/science.1109496)
Trachsel, M and Nesje, A (2015) Modelling annual mass balances of eight Scandinavian glaciers using statistical models. Cryosphere, 9, 14011414 (doi: 10.5194/tc-9-1401-2015)
Visbeck, MH, Hurrell, JW, Polvani, L and Cullen, HM (2001) The North Atlantic Oscillation: past, present, and future. Proc. Natl. Acad. Sci., 98(23), 1287612877 (doi: 10.1073/pnas.231391598)
Wallace, JM, Fu, Q, Smoliak, BV, Lin, P and Johanson, CM (2012) Simulated versus observed patterns of warming over the extratropical Northern Hemisphere continents during the cold season. Proc. Natl. Acad. Sci., 109(36), 1433714342 (doi: 10.1073/pnas.1204875109)
WGMS, (2017) Fluctuations of glaciers database. World Glacier Monitoring Service, Zurich, Switzerland (doi: 10.5904/wgms-fog-2017-10
Wigley, T and Raper, S (1990) Natural variability of the climate system and detection of the greenhouse effect. Nature, 344(6264), 324 (doi: 10.1038/344324a0)
Wills, RC, Schneider, T, Wallace, JM, Battisti, DS and Hartmann, DL (2018) Disentangling global warming, multidecadal variability, and El Niño in Pacific temperatures. Geophys. Res. Lett., 45(5), 24872496 (doi: 10.1002/2017GL076327)
Wills, RC, Armour, KC, Battisti, DS and Hartmann, DL (2019) Ocean-atmosphere dynamical coupling fundamental to the Atlantic Multidecadal Oscillation. J. Clim., 32, 251272 (doi: 10.1175/JCLI-D-18-0269.1)
Wold, S, Sjöström, M and Eriksson, L (2001) PLS-regression: a basic tool of chemometrics. Chemometr. Intell. Lab. Syst., 58(2), 109130 (doi: 10.1016/S0169-7439(01)00155-1)
Zemp, M and others (2015) Historically unprecedented global glacier decline in the early 21st century. J. Glac., 61(228), 745762 (doi: 10.3189/2015JoG15J017)
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