Atmospheric Chemistry and Physics
Atmospheric Chemistry and Physics
ACP
Articles | Volume 25, issue 3
Articles | Volume 25, issue 3
https://doi.org/10.5194/acp-25-1639-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-25-1639-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 25, issue 3
Research article
 | 
05 Feb 2025
Research article |  | 05 Feb 2025

Lidar estimates of birch pollen number, mass, and CCN-related concentrations

Maria Filioglou, Petri Tiitta, Xiaoxia Shang, Ari Leskinen, Pasi Ahola, Sanna Pätsi, Annika Saarto, Ville Vakkari, Uula Isopahkala, and Mika Komppula

Viewed

Total article views: 1,101 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
798 167 136 1,101 23 22
  • HTML: 798
  • PDF: 167
  • XML: 136
  • Total: 1,101
  • BibTeX: 23
  • EndNote: 22
Views and downloads (calculated since 02 Oct 2024)
Cumulative views and downloads (calculated since 02 Oct 2024)

Viewed (geographical distribution)

Total article views: 1,101 (including HTML, PDF, and XML) Thereof 1,080 with geography defined and 21 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 08 May 2025
Download
Short summary
Every year a vast number of people experience allergic reactions due to exposure to airborne pollen. These symptoms are concentration dependent; thus accurate information about the pollen load in the atmosphere is essential. Moreover, pollen grains and fragments of it are likely to contribute to cloud processes and suppress precipitation. Here, we estimate the concentration and cloud-relevant parameters of birch pollen in the atmosphere using observations from a PollyXT and a CL61 ceilometer.
Read more
Share
Altmetrics
Final-revised paper
Preprint