Spectral dependence of birch and pine pollen optical properties using a synergy of lidar instruments

Filioglou, Maria; Leskinen, Ari; Vakkari, Ville; O'Connor, Ewan; Tuononen, Minttu; Tuominen, Pekko; Laukkanen, Samuli; Toiviainen, Linnea; Saarto, Annika; Shang, Xiaoxia; Tiitta, Petri; Komppula, Mika

doi:https://doi.org/10.5194/acp-23-9009-2023

Articles | Volume 23, issue 16

https://doi.org/10.5194/acp-23-9009-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/acp-23-9009-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 23, issue 16

Research article

|

16 Aug 2023

Research article |

| 16 Aug 2023

Spectral dependence of birch and pine pollen optical properties using a synergy of lidar instruments

Maria Filioglou, Ari Leskinen, Ville Vakkari, Ewan O'Connor, Minttu Tuononen, Pekko Tuominen, Samuli Laukkanen, Linnea Toiviainen, Annika Saarto, Xiaoxia Shang, Petri Tiitta, and Mika Komppula

Data sets

Cloud profiling measurements: Doppler lidar, Lidar; 2022-04-01 to 2022-06-30 CLU https://hdl.handle.net/21.12132/2.d51fdac9e1114762

Global Data Assimilation System (GDAS) meteorological data NOAA https://www.ncei.noaa.gov/access/metadata/landing-page/bin/iso?id=gov.noaa.ncdc:C00379

Short summary

Pollen impacts climate and public health, and it can be detected in the atmosphere by lidars which measure the linear particle depolarization ratio (PDR), a shape-relevant optical parameter. As aerosols also cause depolarization, surface aerosol and pollen observations were combined with measurements from ground-based lidars operating at different wavelengths to determine the optical properties of birch and pine pollen and quantify their relative contribution to the PDR.