Articles | Volume 25, issue 3
https://doi.org/10.5194/acp-25-1639-2025
https://doi.org/10.5194/acp-25-1639-2025
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

Data sets

Custom collection of Doppler lidar, and lidar data from Vehmasmäki between 1 Apr and 30 Jun 2022 Mika Komppula and Ewan O'Connor https://hdl.handle.net/21.12132/2.d51fdac9e1114762

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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.
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