Articles | Volume 24, issue 19
https://doi.org/10.5194/acp-24-11103-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-24-11103-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Measurement report
| 
02 Oct 2024
Measurement report |
| 02 Oct 2024
| 02 Oct 2024
Measurement report: In situ vertical profiles of below-cloud aerosol over the central Greenland Ice Sheet
National Centre for Atmospheric Science, Leeds, UK
School of Earth and Environment, University of Leeds, Leeds, UK
Andrew S. Martin
National Centre for Atmospheric Science, Leeds, UK
School of Earth and Environment, University of Leeds, Leeds, UK
Erik Olson
Space Science and Engineering Center, UW-Madison, Madison, WI, USA
Ian M. Brooks
School of Earth and Environment, University of Leeds, Leeds, UK
Ryan R. Neely III
National Centre for Atmospheric Science, Leeds, UK
School of Earth and Environment, University of Leeds, Leeds, UK
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This paper presents a novel technique of data-driven hydrometeor classification (HC) from quasi-vertical profiles, where the hydrometeor types are identified from an optimal number of hierarchical clusters, obtained recursively. This data-driven HC approach is capable of providing an optimal number of classes from dual-polarimetric weather radar observations. The embedded flexibility in the extent of granularity is the main advantage of this technique.
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This paper provides interesting new results on the thermodynamic structure of the boundary layer, cloud conditions, and fog characteristics in the Arctic during the Arctic Ocean 2018 campaign. It provides information for interpreting further process studies on aerosol–cloud interactions and shows substantial differences in thermodynamic conditions and cloud characteristics based on comparison with previous campaigns. This certainly raises the question of whether it is just an exceptional year.
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Short summary
Aerosol particles impact cloud properties which influence Greenland Ice Sheet melt. Understanding the aerosol population that interacts with clouds is important for constraining future melt. Measurements of aerosols at cloud height over Greenland are rare, and surface measurements are often used to investigate cloud–aerosol interactions. We use a tethered balloon to measure aerosols up to cloud base and show that surface measurements are often not equivalent to those just below the cloud.
Aerosol particles impact cloud properties which influence Greenland Ice Sheet melt....
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