Preprints
https://doi.org/10.5194/egusphere-2026-6039
https://doi.org/10.5194/egusphere-2026-6039
08 Oct 2026
 | 08 Oct 2026
Status: this preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).

Characteristics of wintertime multilayer clouds during air mass transformations at Ny-Ålesund, Svalbard

Lloyd Villanueva, Hans W. Chen, Gabriella Wallentin, and Luisa Ickes

Abstract. Multilayer clouds (MLCs) are vertically stacked cloud systems that occur frequently in the Arctic and strongly influence the region's surface energy balance. Yet the air mass conditions driving their occurrence and vertical structure remain poorly understood. Here, we investigate 19 years of wintertime MLC observations at Ny-Ålesund, Svalbard, an Atlantic-sector Arctic gateway subject to frequent warm air intrusions (WAIs) and cold air outbreaks (CAOs). We use radiosonde profiles to identify potential cloud layers and verify them using collocated cloud radar. Air mass regimes are classified from equivalent potential temperature profiles using rotated principal component analysis. The radiosonde profiles show that thermodynamic conditions favorable for MLCs are common, with 54.4% of winter profiles containing multiple potential cloud layers. Radar verification reduces this to 27.3%, as some potential layers lack hydrometeors, particularly in the upper troposphere. Across air mass regimes, WAIs are the cloudiest regime and favor vertically complex cloud structures, with 43.8% of radar-verified WAI profiles containing multiple layers compared with 21% during CAOs. Idealized seeder-feeder calculations indicate that falling small ice particles are more likely to reach the lower cloud during CAOs, whereas for larger particles, vertical layer separation is the main constraint regardless of synoptic conditions. Radiatively, MLCs modulate surface longwave cooling most effectively during CAOs, while during WAIs single- and multilayer clouds produce similar effects. Thus, the air mass regime, rather than the number of cloud layers, modulates how MLCs affect the Arctic winter surface energy budget, providing an observational basis for evaluating MLCs in models.

Competing interests: At least one of the (co-)authors is a member of the editorial board of Atmospheric Chemistry and Physics.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this paper. While Copernicus Publications makes every effort to include appropriate place names, the final responsibility lies with the authors. Views expressed in the text are those of the authors and do not necessarily reflect the views of the publisher.
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Lloyd Villanueva, Hans W. Chen, Gabriella Wallentin, and Luisa Ickes

Status: open (until 19 Nov 2026)

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Lloyd Villanueva, Hans W. Chen, Gabriella Wallentin, and Luisa Ickes
Lloyd Villanueva, Hans W. Chen, Gabriella Wallentin, and Luisa Ickes
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Short summary
In the Arctic winter, clouds act like a blanket that slows the loss of heat from the ground. Clouds often stack in layers, but the cause is not well known. Using weather balloon and radar data from Svalbard, we found that warm, moist air from the south brings stacked clouds twice as often as cold northern air. In cold air, stacked clouds keep the ground warmer than single clouds, but in warm air layering makes no clear difference. This could help climate models represent Arctic clouds better.
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