Preprints
https://doi.org/10.5194/egusphere-2025-3612
https://doi.org/10.5194/egusphere-2025-3612
21 Aug 2025
 | 21 Aug 2025
Status: this preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).

Northern Hemisphere Stratospheric Polar Vortex Morphology under Localized Gravity Wave Forcing: A Shape-Based Classification

Sina Mehrdad, Sajedeh Marjani, Dörthe Handorf, and Christoph Jacobi

Abstract. The Northern Hemisphere stratospheric polar vortex (SPV) response to localized gravity wave (GW) forcing remains poorly understood, particularly in terms of its detailed morphology. Here, we investigated geometry-specific impacts of enhanced orographic GW drag in three hotspot regions, the Himalayas, Northwest America, and East Asia, using ensemble simulations with the high-top UA-ICON global circulation model. By classifying daily SPV geometries into ten distinct clusters with a novel unsupervised, shape-based hierarchical clustering framework, we isolated geometry-specific responses using the class contribution method. Our results showed that all hotspot forcings consistently reduce planetary wave 1 (PW1) amplitude and induce a PW1-like displacement of the SPV core, though spatial patterns vary with hotspot location. This response manifested as negative geopotential height (GPH) anomalies within the forced region and positive anomalies to the north, indicating localized SPV edge mixing. The response was also sensitive to the forcing’s latitudinal position: the Himalayas, as the southernmost hotspot, produced a deepened vortex, while the more poleward Northwest America and East Asia forcings showed similar patterns with greater intrusion of positive GPH anomalies into the vortex core. The forcing reduced PW1 amplitude both by shifting the frequency of specific clusters and altering the mean structure of the most frequent classes. Our results demonstrate that shape-based clustering combined with the class contribution framework can reveal robust, spatially coherent signals that might otherwise be masked by internal variability, providing a new perspective for understanding SPV variability and its predictability.

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Sina Mehrdad, Sajedeh Marjani, Dörthe Handorf, and Christoph Jacobi

Status: open (until 02 Oct 2025)

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Sina Mehrdad, Sajedeh Marjani, Dörthe Handorf, and Christoph Jacobi
Sina Mehrdad, Sajedeh Marjani, Dörthe Handorf, and Christoph Jacobi

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Short summary
We studied how strong wind disturbances caused by mountains can disturb the polar vortex, a large pool of cold air high above the North Pole. Using simulations, we boosted these wind disturbances over the Himalayas, North America, and East Asia. We found they can shift, weaken, and mix the vortex in different ways depending on the region. This helps explain how mountains influence the upper atmosphere and improve forecasts of extreme cold weather at the surface.
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