The surface energy balance and mass balance of the Greenland ice sheet depends on the albedo of snow, which governs the amount of solar energy that is absorbed. The observed decline of Greenland’s albedo over the past decade1,2,3 has been attributed to an enhanced growth of snow grains as a result of atmospheric warming1,2. Satellite observations show that, since 2009, albedo values even in springtime at high elevations have been lower than the 2003–2008 average. Here we show, using a numerical snow model, that the decrease in albedo cannot be attributed solely to grain growth enhancement. Instead, our analysis of remote sensing data indicates that the springtime darkening since 2009 stems from a widespread increase in the amount of light-absorbing impurities in snow, as well as in the atmosphere. We suggest that the transport of dust from snow-free areas in the Arctic that are experiencing earlier melting of seasonal snow cover4 as the climate warms may be a contributing source of impurities. In our snow model simulations, a decrease in the albedo of fresh snow by 0.01 leads to a surface mass loss of 27 Gt yr−1, which could induce an acceleration of Greenland’s mass loss twice as large as over the past two decades5. Future trends in light-absorbing impurities should therefore be considered in projections of Greenland mass loss.
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Box, J. E. et al. Greenland ice sheet albedo feedback: Thermodynamics and atmospheric drivers. The Cryosphere 6, 821–839 (2012).
Tedesco, M. et al. The role of albedo and accumulation in the 2010 melting record in Greenland. Environ. Res. Lett. 6, 014005 (2011).
Stroeve, J., Box, J. E., Wang, Z., Schaaf, C. & Barrett, A. Re-evaluation of MODIS MCD43 Greenland albedo accuracy and trends. Remote Sens. Environ. 138, 199–214 ( 2013).
Derksen, C. & Brown, R. Spring snow cover extent reductions in the 2008–2012 period exceeding climate model projections. Geophys. Res. Lett. 39, L19504 (2012).
Rignot, E., Velicogna, I., Van den Broeke, M. R., Monaghan, A. & Lenaerts, J. Acceleration of the contribution of the Greenland and Antarctic ice sheets to sea level rise. Geophys. Res. Lett. 38, L05503 (2011).
Shepherd, A. et al. A reconciled estimate of ice-sheet mass balance. Science 38, 1183–1189 (2012).
Tedesco, M. et al. Evidence and analysis of 2012 Greenland records from spaceborne observations, a regional climate model and reanalysis data. The Cryosphere 7, 615–630 (2013).
Imbrie, J. & Imbrie, J. Z. Modeling the climatic response to orbital variations. Science 207, 943–953 (1980).
Warren, S. G. Optical properties of snow. Rev. Geophys. 20, 67–89 (1982).
Picard, G., Domine, F., Krinner, G., Arnaud, L. & Lefebvre, E. Inhibition of the positive snow-albedo feedback by precipitation in interior Antarctica. Nature Clim. Change 2, 795–798 (2012).
Hall Dorothy, K. et al. Variability in the surface temperature and melt extent of the Greenland ice sheet from MODIS. Geophys. Res. Lett. 40, 2114–2120 (2013).
Vionnet, V. et al. The detailed snowpack scheme Crocus and its implementation in SURFEX v72. Geosci. Model Dev. 5, 773–791 (2012).
Wientjes, I. G. M., Van de Wal, R. S. W., Reichart, G. J., Sluijs, A. & Oerlemans, J. Dust from the dark region in the western ablation zone of the Greenland ice sheet. The Cryosphere 5, 589–601 (2011).
Painter, T. H. et al. Response of Colorado River runoff to dust radiative forcing in snow. Proc. Natl Acad. Sci. USA 107, 17125–17130 (2010).
Doherty, S. J., Warren, S. G., Grenfell, T. C., Clarke, A. D. & Brandt, R. E. Light-absorbing impurities in Arctic snow. Atmos. Chem. Phys. 10, 11647–11680 (2010).
Petit, J-R. et al. The NEEM record of aeolian dust: Contributions from Coulter counter measurements. EGU Gen. Assem. Conf. Abstr. 15, 6255 (2013).
Zege, E., Katsev, I., Malinka, A., Prikhach, A. & Polonsky, I. New algorithm to retrieve the effective snow grain size and pollution amount from satellite data. Ann. Glaciol. 49, 139–144 (2008).
Davies, S. M. et al. Widespread dispersal of Icelandic tephra: How does the Eyjafjöll eruption of 2010 compare to past Icelandic events? J. Quat. Sci. 25, 605–611 (2010).
Wientjes, I. G. M. & Oerlemans, J. An explanation for the dark region in the western melt zone of the Greenland ice sheet. The Cryosphere 4, 261–268 (2010).
Hoiczyk, E. & Baumeister, W. The junctional pore complex, a prokaryotic secretion organelle, is the molecular motor underlying gliding motility in cyanobacteria. Current Biol. 8, 1161–1168 (1998).
Istomina, L. G., Hoyningen-Huene, W. V., Kokhanovsky, A. A., Schultz, E. & Burrows, J. P. Remote sensing of aerosols over snow using infrared AATSR observations. Atmos. Meas. Tech. 4, 1133–1145 (2011).
Schultz, E. et al. Results of a pilot study on the climate relevant particle burden on Greenland. Eur. Aerosol Conf. T160A07 (2009).
Hegg, D. A., Warren, S. G., Grenfell, T. C., Doherty, S. J. & Clarke, A. D. Sources of light-absorbing aerosol in Arctic snow and their seasonal variation. Atmos. Chem. Phys. 10, 10923–10938 (2010).
Stohl, A. et al. Pan-Arctic enhancements of light absorbing aerosol concentrations due to North American boreal forest fires during summer 2004. J. Geophys. Res. 111, D22214 (2006).
Doherty, S. J. et al. Observed vertical redistribution of black carbon and other insoluble light-absorbing particles in melting snow. J. Geophys. Res. Atmos. 118, 1–17 (2013).
Flanner, M. Arctic climate sensitivity to local black carbon. J. Geophys. Res. Atmos. 118, 1840–1851 (2013).
Fettweis, X., Tedesco, M., Broeke, M. & Ettema, J. Melting trends over the Greenland ice sheet (1958–2009) from spaceborne microwave data and regional climate models. The Cryosphere 5, 359–375 (2011).
Brutel-Vuilmet, C., Ménégoz, M. & Krinner, G. An analysis of present and future seasonal Northern Hemisphere land snow cover simulated by CMIP5 coupled climate models. The Cryosphere 7, 67–80 (2013).
Klein, A. G. & Stroeve, J. Development and validation of a snow albedo algorithm for the MODIS instrument. Ann. Glaciol. 34, 45–52 (2002).
Stamnes, K., Tsay, S-C., Wiscombe, W. & Jayaweera, K. Numerically stable algorithm for discrete ordinate-method radiative transfer in multiple scattering and emitting layered media. Appl. Opt. 27, 2502–2509 (1988).
The authors are grateful to F. Domine, C. Carmagnola, R. Stones, M. Bergin, P. Wright, D. Voisin, C. Derksen, S. Nyeki, M. Tedesco, X. Faïn, A. Ribes and E. Pougatch for help and discussions. We thank B. Holben, AERONET PI, for his efforts in establishing and maintaining the Kangerlussuaq and Thule sites. This study was supported by the French ANR MONISNOW programme ANR-11-JS56-005-01 and by the European Commission’s 7th Framework Programme, under Grant Agreement 226520, COMBINE project. MODIS data were kindly provided by the National Snow and Ice Data Center and by the US Geological Survey EROS Data Center. We thank J. Chappellaz and A. Wegner for collection of Greenland snow samples at NEEM site. The NEEM work was supported by the French ANR programme NEEM (ANR-07-VULN-09-001). LGGE and CNRM-GAME/CEN are part of LabEx OSUG@2020 (ANR10 LABX56).
The authors declare no competing financial interests.
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Dumont, M., Brun, E., Picard, G. et al. Contribution of light-absorbing impurities in snow to Greenland’s darkening since 2009. Nature Geosci 7, 509–512 (2014). https://doi.org/10.1038/ngeo2180
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