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https://doi.org/10.5194/egusphere-2025-3711
https://doi.org/10.5194/egusphere-2025-3711
12 Aug 2025
 | 12 Aug 2025

Shortening of the Arctic cold air outbreak season detected by a phenomenological machine learning approach

Filip Severin von der Lippe, Tim Carlsen, Trude Storelvmo, and Robert Oscar David

Abstract. Marine cold air outbreaks (CAOs) frequently occur in the Arctic when cold air moves over the relatively warm ocean, resulting in large turbulent fluxes, instability and cloud formation. Given the high frequency of CAOs during the Arctic winter, the associated clouds have a large impact on the region's radiative balance. Due to Arctic warming, the prevalence of CAOs and their clouds may change, impacting the Arctic radiative balance and potentially amplifying or mitigating local and global warming.

To better understand how CAO clouds respond to Arctic warming, this study has developed a phenomenological CAO cloud classification tool that utilizes machine learning methods to identify closed and open cell clouds in CAOs from MODIS satellite imagery. This new approach achieves better performance in identifying CAO clouds compared to the marine cold air outbreak index calculated using MERRA-2 reanalysis, with accuracies of 85.4 % and 78.0 %, respectively. The new approach has revealed frequent CAO cloud formation in regions of high sea surface temperatures, with occurrence maxima along the Norwegian coast and the Northern Atlantic region south of Iceland. Furthermore, the approach reveals trends in CAO cloud cover that suggest a shortening of the CAO season, characterized by an approximate 10 % increase in cloud coverage during winter and a nearly 20 % decrease during the shoulder months over the past 25 years. These trends suggest a positive radiative feedback during winter in response to climate change, underscoring the importance of further investigating these clouds to understand the trajectory of future Arctic climate.

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Filip Severin von der Lippe, Tim Carlsen, Trude Storelvmo, and Robert Oscar David

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Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2025-3711', Anonymous Referee #1, 13 Sep 2025
  • RC2: 'Comment on egusphere-2025-3711', Anonymous Referee #2, 23 Sep 2025
Filip Severin von der Lippe, Tim Carlsen, Trude Storelvmo, and Robert Oscar David

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Shortening Arctic CAO season Filip Severin von der Lippe https://doi.org/10.5281/zenodo.16680336

Filip Severin von der Lippe, Tim Carlsen, Trude Storelvmo, and Robert Oscar David

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Short summary
This paper investigates how clouds associated with Arctic marine cold air outbreaks (CAOs) respond to climate change. By utilizing machine learning methods and remote sensing data from the past 25 years, the study identifies trends indicating a shortening of the CAO season. This has implications for the Arctic energy balance, underscoring the importance of further investigating these clouds to understand the trajectory of future Arctic climate.
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