Articles | Volume 20, issue 3
https://doi.org/10.5194/tc-20-1619-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-20-1619-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
18 Mar 2026
Research article |
| 18 Mar 2026
| 18 Mar 2026
Light-absorbing snow impurities: nine years (2016–2024) of snowpack sampling close to Sonnblick Observatory, Austrian Alps
Institute of Chemical Technologies and Analytics, TU Wien, Vienna, 1060, Austria
Marion Greilinger
independent researcher
formerly at: Section Climate Monitoring and Cryosphere, GeoSphere Austria, Vienna, 1190, Austria
Andjela Vukićević
Institute of Chemical Technologies and Analytics, TU Wien, Vienna, 1060, Austria
Jakub Bielecki
Institute of Chemical Technologies and Analytics, TU Wien, Vienna, 1060, Austria
Laura Kronlachner
Institute of Chemical Technologies and Analytics, TU Wien, Vienna, 1060, Austria
Anne Kasper-Giebl
Institute of Chemical Technologies and Analytics, TU Wien, Vienna, 1060, Austria
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Cited articles
Barkan, J. and Alpert, P.: Synoptic analysis of a rare event of Saharan dust reaching the Arctic region, Weather, 65, 208–211, https://doi.org/10.1002/wea.503, 2010.
Birch, M. E. and Cary, R. A.: Elemental carbon-based method for monitoring occupational exposures to particulate diesel exhaust, Aerosol Sci. Technol., 25, 221–241, https://doi.org/10.1080/02786829608965393, 1996.
Bond, T. C., Doherty, S. J., Fahey, D. W., Forster, P. M., Berntsen, T., DeAngelo, B. J., Flanner, M. G., Ghan, S., Kärcher, B., Koch, D., Kinne, S., Kondo, Y., Quinn, P. K., Sarofim, M. C., Schultz, M. G., Schulz, M., Venkataraman, C., Zhang, H., Zhang, S., Bellouin, N., Guttikunda, S. K., Hopke, P. K., Jacobson, M. Z., Kaiser, J. W., Klimont, Z., Lohmann, U., Schwarz, J. P., Shindell, D., Storelvmo, T., Warren, S. G., and Zender, C. S.: Bounding the role of black carbon in the climate system: A scientific assessment, J. Geophys. Res.-Atmos., 118, 5380–5552, https://doi.org/10.1002/jgrd.50171, 2013.
Cavalli, F., Viana, M., Yttri, K. E., Genberg, J., and Putaud, J.-P.: Toward a standardised thermal-optical protocol for measuring atmospheric organic and elemental carbon: the EUSAAR protocol, Atmos. Meas. Tech., 3, 79–89, https://doi.org/10.5194/amt-3-79-2010, 2010.
Cerqueira, M., Pio, C., Legrand, M., Puxbaum, H., Kasper-Giebl, A., Afonso, J., Preunkert, S., Gelencsér, A., and Fialho, P.: Particulate carbon in precipitation at European background sites, J. Aerosol Sci., 41, 51–61, https://doi.org/10.1016/j.jaerosci.2009.08.002, 2010.
Dick, O., Viallon-Galinier, L., Tuzet, F., Hagenmuller, P., Fructus, M., Reuter, B., Lafaysse, M., and Dumont, M.: Can Saharan dust deposition impact snowpack stability in the French Alps?, The Cryosphere, 17, 1755–1773, https://doi.org/10.5194/tc-17-1755-2023, 2023.
Di Mauro, B., Fava, F., Ferrero, L., Garzonio, R., Baccolo, G., Delmonte, B., and Colombo, R.: Mineral dust impact on snow radiative properties in the European Alps combining ground, UAV, and satellite observations, J. Geophys. Res.-Atmos., 120, 6080–6097, https://doi.org/10.1002/2015JD023287, 2015.
Di Mauro, B., Garzonio, R., Rossini, M., Filippa, G., Pogliotti, P., Galvagno, M., Morra di Cella, U., Migliavacca, M., Baccolo, G., Clemenza, M., Delmonte, B., Maggi, V., Dumont, M., Tuzet, F., Lafaysse, M., Morin, S., Cremonese, E., and Colombo, R.: Saharan dust events in the European Alps: role in snowmelt and geochemical characterization, The Cryosphere, 13, 1147–1165, https://doi.org/10.5194/tc-13-1147-2019, 2019.
DIN e.V.: DIN EN 16909:2017, Außenluft – Messung von auf Filtern gesammeltem elementaren Kohlenstoff (EC) und organisch gebundenem Kohlenstoff (OC), Deutsche Fassung EN 16909:2017, Beuth Verlag GmbH, Berlin, 2017.
Doherty, S. J., Warren, S. G., Grenfell, T. C., Clarke, A. D., and Brandt, R. E.: Light-absorbing impurities in Arctic snow, Atmos. Chem. Phys., 10, 11647–11680, https://doi.org/10.5194/acp-10-11647-2010, 2010.
Doherty, S. J., Grenfell, T. C., Forsström, S., Hegg, D. L., Brandt, R. E., and Warren, S. G.: Observed vertical redistribution of black carbon and other insoluble light-absorbing particles in melting snow, J. Geophys. Res.-Atmos., 118, 5553–5569, https://doi.org/10.1002/jgrd.50235, 2013.
Dumont, M., Gascoin, S., Réveillet, M., Voisin, D., Tuzet, F., Arnaud, L., Bonnefoy, M., Bacardit Peñarroya, M., Carmagnola, C., Deguine, A., Diacre, A., Dürr, L., Evrard, O., Fontaine, F., Frankl, A., Fructus, M., Gandois, L., Gouttevin, I., Gherab, A., Hagenmuller, P., Hansson, S., Herbin, H., Josse, B., Jourdain, B., Lefevre, I., Le Roux, G., Libois, Q., Liger, L., Morin, S., Petitprez, D., Robledano, A., Schneebeli, M., Salze, P., Six, D., Thibert, E., Trachsel, J., Vernay, M., Viallon-Galinier, L., and Voiron, C.: Spatial variability of Saharan dust deposition revealed through a citizen science campaign, Earth Syst. Sci. Data, 15, 3075–3094, https://doi.org/10.5194/essd-15-3075-2023, 2023.
Forsström, S., Ström, J., Pedersen, C. A., Isaksson, E., and Gerland, S.: Elemental carbon distribution in Svalbard snow, J. Geophys. Res.-Atmos., 114, D19112, https://doi.org/10.1029/2008JD011480, 2009.
Forsström, S., Isaksson, E., Skeie, R. B., Ström, J., Pedersen, C. A., Hudson, S. R., Berntsen, T. K., Lihavainen, H., Godtliebsen, F., and Gerland, S.: Elemental carbon measurements in European Arctic snow packs, J. Geophys. Res.-Atmos., 118, 13–614, https://doi.org/10.1002/2013JD019886, 2013.
Greilinger, M. and Kasper-Giebl, A.: Saharan dust records and its impact in the European Alps, in: Oxford Research Encyclopedia of Climate Science, https://doi.org/10.1093/acrefore/9780190228620.013.827, 2021.
Greilinger, M., Schöner, W., Winiwarter, W., and Kasper-Giebl, A.: Temporal changes of inorganic ion deposition in the seasonal snow cover for the Austrian Alps (1983–2014), Atmos. Environ., 132, 141–152, https://doi.org/10.1016/j.atmosenv.2016.02.040, 2016.
Greilinger, M., Schauer, G., Baumann-Stanzer, K., Skomorowski, P., Schöner, W., and Kasper-Giebl, A.: Contribution of Saharan dust to ion deposition loads of high alpine snow packs in Austria (1987–2017), Front. Earth Sci., 6, 126, https://doi.org/10.3389/feart.2018.00126, 2018.
Grenfell, T. C., Doherty, S. J., Clarke, A. D., and Warren, S. G.: Light absorption from particulate impurities in snow and ice determined by spectrophotometric analysis of filters, Appl. Optics, 50, 2037–2048, https://doi.org/10.1364/AO.50.002037, 2011.
Gul, C., Puppala, S. P., Kang, S., Adhikary, B., Zhang, Y., Ali, S., Li, Y., and Li, X.: Concentrations and source regions of light-absorbing particles in snow/ice in northern Pakistan and their impact on snow albedo, Atmos. Chem. Phys., 18, 4981–5000, https://doi.org/10.5194/acp-18-4981-2018, 2018.
Gul, C., Kang, S., Puppala, S. P., Wu, X., He, C., Xu, Y., Koch, I., Muhammad, S., Kumar, R., and Dubache, G.: Measurement of light-absorbing particles in surface snow of central and western Himalayan glaciers: spatial variability, radiative impacts, and potential source regions, Atmos. Chem. Phys., 22, 8725–8737, https://doi.org/10.5194/acp-22-8725-2022, 2022.
Hadley, O. L., Corrigan, C. E., and Kirchstetter, T. W.: Modified thermal-optical analysis using spectral absorption selectivity to distinguish black carbon from pyrolized organic carbon, Environ. Sci. Technol., 42, 8459–8464, https://doi.org/10.1021/es800448n, 2008.
Kandler, K. and Scheuvens, D.: Asian and Saharan dust from a chemical/mineralogical point of view: differences and similarities from bulk and single particle measurements, E3S Web of Conferences, 99, 03001, https://doi.org/10.1051/e3sconf/20199903001, 2019.
Kaspari, S., Painter, T. H., Gysel, M., Skiles, S. M., and Schwikowski, M.: Seasonal and elevational variations of black carbon and dust in snow and ice in the Solu-Khumbu, Nepal and estimated radiative forcings, Atmos. Chem. Phys., 14, 8089–8103, https://doi.org/10.5194/acp-14-8089-2014, 2014.
Kau, D.: Supplementary material to “Light-absorbing snow impurities: Nine years (2016–2024) of snowpack sampling close to Sonnblick Observatory, Austrian Alps”, TU Wien [data set], https://doi.org/10.48436/yb10b-yfc83, 2026.
Kau, D., Greilinger, M., Kirchsteiger, B., Göndör, A., Herzig, C., Limbeck, A., Eitenberger, E., and Kasper-Giebl, A.: Thermal–optical analysis of quartz fiber filters loaded with snow samples – determination of iron based on interferences caused by mineral dust, Atmos. Meas. Tech., 15, 5207–5217, https://doi.org/10.5194/amt-15-5207-2022, 2022.
Kok, J. F., Adebiyi, A. A., Albani, S., Balkanski, Y., Checa-Garcia, R., Chin, M., Colarco, P. R., Hamilton, D. S., Huang, Y., Ito, A., Klose, M., Li, L., Mahowald, N. M., Miller, R. L., Obiso, V., Pérez García-Pando, C., Rocha-Lima, A., and Wan, J. S.: Contribution of the world's main dust source regions to the global cycle of desert dust, Atmos. Chem. Phys., 21, 8169–8193, https://doi.org/10.5194/acp-21-8169-2021, 2021.
Kok, J. F., Storelvmo, T., Karydis, V. A., Adebiyi, A. A., Mahowald, N. M., Evan, A. T., He, C., and Leung, D. M.: Mineral dust aerosol impacts on global climate and climate change, Nat. Rev. Earth Environ., 4, 71–86, https://doi.org/10.1038/s43017-022-00379-5, 2023.
Kuchiki, K., Aoki, T., Niwano, M., Matoba, S., Kodama, Y., and Adachi, K.: Elemental carbon, organic carbon, and dust concentrations in snow measured with thermal optical and gravimetric methods: Variations during the 2007–2013 winters at Sapporo, Japan, J. Geophys. Res.-Atmos., 120, 868–882, https://doi.org/10.1002/2014JD022144, 2015.
Lafon, S., Rajot, J. L., Alfaro, S. C., and Gaudichet, A.: Quantification of iron oxides in desert aerosol, Atmos. Environ., 38, 1211–1218, https://doi.org/10.1016/j.atmosenv.2003.11.006, 2004.
Lafon, S., Sokolik, I. N., Rajot, J. L., Caquineau, S., and Gaudichet, A.: Characterization of iron oxides in mineral dust aerosols: Implications for light absorption, J. Geophys. Res.-Atmos., 111, D21207, https://doi.org/10.1029/2005JD007016, 2006.
Landis, J. R. and Koch, G. G.: The measurement of observer agreement for categorical data, Biometrics, 33, 159–174, https://doi.org/10.2307/2529310, 1977.
Li, C., Yan, F., Kang, S., Chen, P., Han, X., Hu, Z., Zhang, G., Hong, Y., Gao, S., Qu, B., Zhu, Z., Li, J., Chen, B., and Sillanpää, M.: Re-evaluating black carbon in the Himalayas and the Tibetan Plateau: concentrations and deposition, Atmos. Chem. Phys., 17, 11899–11912, https://doi.org/10.5194/acp-17-11899-2017, 2017.
Li, X., Kang, S., Zhang, G., Qu, B., Tripathee, L., Paudyal, R., Jing, Z., Zhang, Y., Yan, F., Li, G., Cui, X., Xu, R., Hu, Z., and Li, C.: Light-absorbing impurities in a southern Tibetan Plateau glacier: Variations and potential impact on snow albedo and radiative forcing, Atmos. Res., 200, 77–87, https://doi.org/10.1016/j.atmosres.2017.10.002, 2018.
Lim, S., Faïn, X., Zanatta, M., Cozic, J., Jaffrezo, J.-L., Ginot, P., and Laj, P.: Refractory black carbon mass concentrations in snow and ice: method evaluation and inter-comparison with elemental carbon measurement, Atmos. Meas. Tech., 7, 3307–3324, https://doi.org/10.5194/amt-7-3307-2014, 2014.
Meinander, O., Kasper-Giebl, A., Becagli, S., Aurela, M., Kau, D., Calzolai, G., and Schöner, W.: Intercomparison Experiment of Water-Insoluble Carbonaceous Particles in Snow in a High-Mountain Environment (1598 m asl), Geosciences, 12, 197, https://doi.org/10.3390/geosciences12050197, 2022.
Meinander, O., Kouznetsov, R., Uppstu, A., Sofiev, M., Kaakinen, A., Salminen, J., Rontu, L., Welti, A., Francis, D., Piedehierro, A. A., Heikkilä, P., Heikkinen, E., and Laaksonen, A.: African dust transport and deposition modelling verified through a citizen science campaign in Finland, Sci. Rep., 13, 21379, https://doi.org/10.1038/s41598-023-46321-7, 2023.
Mori, T., Goto-Azuma, K., Kondo, Y., Ogawa-Tsukagawa, Y., Miura, K., Hirabayashi, M., Oshima, N., Koike, M., Kupiainen, K., Moteki, N., Ohata, S., Sinha, P. R., Sugiura, K., Aoki, T., Schneebeli, M., Steffen, K., Sato, A., Tsushima, A., Makarov, V., Omiya, S., Sugimoto, A., Takano, S., and Nagatsuka, N.: Black carbon and inorganic aerosols in Arctic snowpack, J. Geophys. Res.-Atmos., 124, 13325–13356, https://doi.org/10.1029/2019JD030623, 2019.
Nielson, J. R. and Brahney, J.: Quantifying dust nutrient mobility through an alpine watershed, J. Geophys. Res.-Biogeo., 130, e2024JG008175, https://doi.org/10.1029/2024JG008175, 2025.
Ogren, J. A., Charlson, R. J., and Groblicki, P. J.: Determination of elemental carbon in rainwater, Anal. Chem., 55, 1569–1572, 1983.
Petzold, A., Ogren, J. A., Fiebig, M., Laj, P., Li, S.-M., Baltensperger, U., Holzer-Popp, T., Kinne, S., Pappalardo, G., Sugimoto, N., Wehrli, C., Wiedensohler, A., and Zhang, X.-Y.: Recommendations for reporting ”black carbon” measurements, Atmos. Chem. Phys., 13, 8365–8379, https://doi.org/10.5194/acp-13-8365-2013, 2013.
Réveillet, M., Dumont, M., Gascoin, S., Lafaysse, M., Nabat, P., Ribes, A., Nheili, R., Tuzet, F., Ménégoz, M., Morin, S., Picard, G., and Ginoux, P.: Black carbon and dust alter the response of mountain snow cover under climate change, Nat. Commun., 13, 5279, https://doi.org/10.1038/s41467-022-32501-y, 2022.
Rogora, M., Mosello, R., and Marchetto, A.: Long-term trends in the chemistry of atmospheric deposition in Northwestern Italy: the role of increasing Saharan dust deposition, Tellus B, 56, 426–434, https://doi.org/10.3402/tellusb.v56i5.16456, 2004.
Rohde, A., Vogel, H., Hoshyaripour, G. A., Kottmeier, C., and Vogel, B.: Regional Impact of Snow-Darkening on Snow Pack and the Atmosphere During a Severe Saharan Dust Deposition Event in Eurasia, J. Geophys. Res.-Earth Surf., 128, e2022JF007016, https://doi.org/10.1029/2022JF007016, 2023.
Rohrbough, J. A., Davis, D. R., and Bales, R. C.: Spatial variability of snow chemistry in an alpine snowpack, southern Wyoming, Water Resour. Res., 39, 1190, https://doi.org/10.1029/2003WR002067, 2003.
Roussel, L., Dumont, M., Réveillet, M., Six, D., Kneib, M., Nabat, P., Fourteau, K., Monteiro, D., Gascoin, S., Thibert, E., Rabatel, A., Sicart, J.-E., Bonnefoy, M., Piard, L., Laarman, O., Jourdain, B., Fructus, M., Vernay, M., and Lafaysse, M.: Saharan dust impacts on the surface mass balance of Argentière Glacier (French Alps), The Cryosphere, 19, 5201–5230, https://doi.org/10.5194/tc-19-5201-2025, 2025.
Scheuvens, D., Schütz, L., Kandler, K., Ebert, M., and Weinbruch, S.: Bulk composition of northern African dust and its source sediments – A compilation, Earth Sci. Rev., 116, 170–194, https://doi.org/10.1016/j.earscirev.2012.08.005, 2013.
Schöner, W., Puxbaum, H., Staudinger, M., Maupetit, F., and Wagenbach, D.: Spatial variability in the chemical composition of the snowcover at high alpine sites, Theor. Appl. Climatol., 56, 25–32, https://doi.org/10.1007/BF00863780, 1997.
Schwarz, J. P., Doherty, S. J., Li, F., Ruggiero, S. T., Tanner, C. E., Perring, A. E., Gao, R. S., and Fahey, D. W.: Assessing Single Particle Soot Photometer and Integrating Sphere/Integrating Sandwich Spectrophotometer measurement techniques for quantifying black carbon concentration in snow, Atmos. Meas. Tech., 5, 2581–2592, https://doi.org/10.5194/amt-5-2581-2012, 2012.
Svensson, J., Ström, J., Kivekäs, N., Dkhar, N. B., Tayal, S., Sharma, V. P., Jutila, A., Backman, J., Virkkula, A., Ruppel, M., Hyvärinen, A., Kontu, A., Hannula, H.-R., Leppäranta, M., Hooda, R. K., Korhola, A., Asmi, E., and Lihavainen, H.: Light-absorption of dust and elemental carbon in snow in the Indian Himalayas and the Finnish Arctic, Atmos. Meas. Tech., 11, 1403–1416, https://doi.org/10.5194/amt-11-1403-2018, 2018.
Telloli, C., Chicca, M., Pepi, S., and Vaccaro, C.: Saharan dust particles in snow samples of Alps and Apennines during an exceptional event of transboundary air pollution, Environ. Monit. Assess., 190, 37, https://doi.org/10.1007/s10661-017-6412-6, 2018.
Thevenon, F., Anselmetti, F. S., Bernasconi, S. M., and Schwikowski, M.: Mineral dust and elemental black carbon records from an Alpine ice core (Colle Gnifetti glacier) over the last millennium, J. Geophys. Res.-Atmos., 114, D17102, https://doi.org/10.1029/2008JD011490, 2009.
Thind, P. S., Chandel, K. K., Sharma, S. K., Mandal, T. K., and John, S.: Light-absorbing impurities in snow of the Indian Western Himalayas: impact on snow albedo, radiative forcing, and enhanced melting, Environ. Sci. Pollut. Res., 26, 7566–7578, https://doi.org/10.1007/s11356-019-04183-5, 2019.
Thind, P. S., Kumar, D., and John, S.: Source apportionment of the light absorbing impurities present in surface snow of the India Western Himalayan glaciers, Atmos. Environ., 246, 118173, https://doi.org/10.1016/j.atmosenv.2020.118173, 2021.
Tomza, U., Arimoto, R., and Ray, B. J.: Color-related differences in the chemical composition of aerosol-laden filters, Atmos. Environ., 35, 1703–1709, https://doi.org/10.1016/S1352-2310(00)00462-3, 2001.
Torres, A., Bond, T. C., Lehmann, C. M., Subramanian, R., and Hadley, O. L.: Measuring organic carbon and black carbon in rainwater: evaluation of methods, Aerosol Sci. Technol., 48, 239–250, https://doi.org/10.1080/02786826.2013.868596, 2014.
Tuzet, F., Dumont, M., Picard, G., Lamare, M., Voisin, D., Nabat, P., Lafaysse, M., Larue, F., Revuelto, J., and Arnaud, L.: Quantification of the radiative impact of light-absorbing particles during two contrasted snow seasons at Col du Lautaret (2058 m a.s.l., French Alps), The Cryosphere, 14, 4553–4579, https://doi.org/10.5194/tc-14-4553-2020, 2020.
Wang, M., Xu, B., Zhao, H., Cao, J., Joswiak, D., Wu, G., and Lin, S.: The influence of dust on quantitative measurements of black carbon in ice and snow when using a thermal optical method, Aerosol Sci. Technol., 46, 60–69, https://doi.org/10.1080/02786826.2011.605815, 2012.
Warren, S. G. and Wiscombe, W. J.: A model for the spectral albedo of snow. II: Snow containing atmospheric aerosols,J. Atmos. Sci., 37, 2734–2745, https://doi.org/10.1175/1520-0469(1980)037<2734:AMFTSA>2.0.CO;2, 1980.
Zdanowicz, C., Gallet, J.-C., Björkman, M. P., Larose, C., Schuler, T., Luks, B., Koziol, K., Spolaor, A., Barbaro, E., Martma, T., van Pelt, W., Wideqvist, U., and Ström, J.: Elemental and water-insoluble organic carbon in Svalbard snow: a synthesis of observations during 2007–2018, Atmos. Chem. Phys., 21, 3035–3057, https://doi.org/10.5194/acp-21-3035-2021, 2021.
Zhang, Y., Kang, S., Sprenger, M., Cong, Z., Gao, T., Li, C., Tao, S., Li, X., Zhong, X., Xu, M., Meng, W., Neupane, B., Qin, X., and Sillanpää, M.: Black carbon and mineral dust in snow cover on the Tibetan Plateau, The Cryosphere, 12, 413–431, https://doi.org/10.5194/tc-12-413-2018, 2018.
Short summary
We quantify elemental carbon and mineral dust in the seasonal snow cover sampled at a high-alpine site (2016–2024). The co-occurrence of these compounds in thermal-optical analysis necessitates a linear laser correction to minimize the bias for elemental carbon. We identify samples containing mineral dust via thermal-optical analysis and compare it to an approach from literature. We approximate mineral dust from thermal-optical analysis data and the composition of dust from long-range transport.
We quantify elemental carbon and mineral dust in the seasonal snow cover sampled at a...
