Preprints
https://doi.org/10.5194/egusphere-2025-5047
https://doi.org/10.5194/egusphere-2025-5047
28 Oct 2025
 | 28 Oct 2025
Status: this preprint is open for discussion and under review for The Cryosphere (TC).

Light-absorbing snow impurities: Nine years (2016–2024) of snowpack sampling close to Sonnblick Observatory, Austrian Alps

Daniela Kau, Marion Greilinger, Andjela Vukićević, Jakub Bielecki, Laura Kronlachner, and Anne Kasper-Giebl

Abstract. We present chemical analysis data of the seasonal snow cover focusing on the light-absorbing snow impurities elemental carbon and mineral dust collected at a high-alpine glacier field close to Sonnblick Observatory. Sampling covered the whole winter accumulation periods between 2016 and 2024. The co-occurrence of mineral dust leads to an underestimation of elemental carbon quantified via thermal-optical analysis. To minimise the bias, we apply a linear laser correction, leading to a median increase in elemental carbon by 63 % for single samples and up to 8.3 % for entire snowpacks collected at the end of the accumulation period. Average concentrations for elemental carbon and water-insoluble organic carbon were 11.1±2.5 and 458±215 ng g-1, respectively. Using the interference introduced by mineral dust, we identify mineral dust layers and find very good agreement with a complementary method based on calcium concentrations and the pH. Based on thermal-optical analysis and an average share of iron in mineral dust mass of 4 %, the approximated mineral dust input ranged up to 2100 mg m-2. Results agree well with gravimetric results.

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Daniela Kau, Marion Greilinger, Andjela Vukićević, Jakub Bielecki, Laura Kronlachner, and Anne Kasper-Giebl

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Daniela Kau, Marion Greilinger, Andjela Vukićević, Jakub Bielecki, Laura Kronlachner, and Anne Kasper-Giebl
Daniela Kau, Marion Greilinger, Andjela Vukićević, Jakub Bielecki, Laura Kronlachner, and Anne Kasper-Giebl

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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.
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