Multi-seasonal measurements of the ground-level atmospheric ice-nucleating particle abundance on the North Slope of Alaska

Pantoya, Aidan D.; Simonsen, Stephanie R.; Andrews, Elisabeth; Burgener, Ross; Cox, Christopher J.; de Boer, Gijs; Thomas, Bryan D.; Hiranuma, Naruki

doi:https://doi.org/10.5194/ar-3-253-2025

Articles | Volume 3, issue 1

https://doi.org/10.5194/ar-3-253-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/ar-3-253-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 3, issue 1

Research article

|

27 May 2025

Research article |

| 27 May 2025

Multi-seasonal measurements of the ground-level atmospheric ice-nucleating particle abundance on the North Slope of Alaska

Aidan D. Pantoya, Stephanie R. Simonsen, Elisabeth Andrews, Ross Burgener, Christopher J. Cox, Gijs de Boer, Bryan D. Thomas, and Naruki Hiranuma

Supplement

https://doi.org/10.5194/ar-3-253-2025-supplement

Data sets

The abundance of ground-level atmospheric ice-nucleating particles and aerosol properties in the North Slope of Alaska A. D. Pantoya and N. Hiranuma https://doi.org/10.6084/m9.figshare.26615752.v3

Monitoring Station Data from BRW (71.285° N, 156.769° W) NOAA Global Monitoring Laboratory (GML) https://gml.noaa.gov/aftp/data/meteorology/in-situ/brw/

Monitoring Station Data from Wiley Post–Will Rogers Memorial Airport MesoWest https://mesowest.utah.edu/cgi-bin/droman/mesomap.cgi?state=AK&rawsflag=3

ARM CPC data ARM Data Discovery https://doi.org/10.5439/1227962

Download

Article (5874 KB)
Full-text XML

Short summary

We present continuous ice-nucleating particle data that were measured in the Alaskan Arctic from October 2021 to December 2023. We found a greater efficiency in the arctic immersion freezing during fall compared to those found previously at two mid-latitude sites, together with profound freezing efficiencies in spring, presumably due to arctic haze events. Our study will be useful for improving atmospheric models to simulate cloud feedback and determine their impact on the global radiative energy budget.