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

dc.contributor.authorFilioglou Maria
dc.contributor.authorLeskinen Ari
dc.contributor.authorVakkari Ville
dc.contributor.authorO'Connor Ewan
dc.contributor.authorTuononen Minttu
dc.contributor.authorTuominen Pekko
dc.contributor.authorLaukkanen Samuli
dc.contributor.authorToiviainen Linnea
dc.contributor.authorSaarto Annika
dc.contributor.authorShang Xiaoxia
dc.contributor.authorTiitta Petri
dc.contributor.authorKomppula Mika
dc.contributor.organizationfi=Turun yliopiston biodiversiteettiyksikkö|en=Biodiversity Unit of the University of Turku|
dc.contributor.organization-code1.2.246.10.2458963.20.85536774202
dc.contributor.organization-code2606018
dc.converis.publication-id180962199
dc.converis.urlhttps://research.utu.fi/converis/portal/Publication/180962199
dc.date.accessioned2025-08-27T22:48:58Z
dc.date.available2025-08-27T22:48:58Z
dc.description.abstractActive remote sensors equipped with the capability to detect polarization, a shape-relevant parameter, are essential to aerosol particle identification in the vertical domain. Most commonly, the linear particle depolarization ratio has been available at the shorter wavelengths of 355 and/or 532 nm. Recently, linear particle depolarization ratios at longer wavelengths (910, 1064, and 1565 nm) have emerged in lidar aerosol research. In this study, a synergy of three lidars, namely a PollyXT lidar, a Vaisala CL61 ceilometer, and a HALO Photonics StreamLine Pro Doppler lidar, as well as in situ aerosol and pollen observations have been utilized to investigate the spectral dependence of birch and pine pollen particles. We found that, regardless of the pollen type, the linear particle depolarization ratio was subject to the amount of pollen and its relative contribution to the aerosol mixture in the air. More specifically, during birch pollination, characteristic linear particle depolarization ratios of 5 +/- 2% (355 nm), 28 +/- 6% (532 nm), 23 +/- 6% (910 nm), and 33 +/- 4% (1565 nm) were retrieved at the pollen layer. Regarding the pine-dominant period, characteristic linear particle depolarization ratios of 6 +/- 2 %, 43 +/- 11 %, 22 +/- 6 %, and 26 +/- 3% were determined at wavelengths of 355, 532, 910, and 1565 nm, respectively. For birch, the linear particle depolarization ratio at 1565 nm was the highest, followed by the 532 and 910 nm wavelengths, respectively. A sharp decrease at 355 nm was evident for birch pollen. For pine pollen, a maximum at the 532 nm wavelength was observed. There was no significant change in the linear particle depolarization ratio at 910 nm for the pollen types considered in this study. Given the low concentration of pollen in the air, the inclusion of the longer wavelengths (910 and 1565 nm) for the detection of birch and pine can be beneficial due to their sensitivity to trace large aerosol particles.
dc.format.pagerange9009
dc.format.pagerange9021
dc.identifier.jour-issn1680-7316
dc.identifier.olddbid202859
dc.identifier.oldhandle10024/185886
dc.identifier.urihttps://www.utupub.fi/handle/11111/50495
dc.identifier.urlhttps://doi.org/10.5194/acp-23-9009-2023
dc.identifier.urnURN:NBN:fi-fe2025082789924
dc.language.isoen
dc.okm.affiliatedauthorToiviainen, Linnea
dc.okm.affiliatedauthorSaarto, Annika
dc.okm.discipline114 Physical sciencesen_GB
dc.okm.discipline1181 Ecology, evolutionary biologyen_GB
dc.okm.discipline114 Fysiikkafi_FI
dc.okm.discipline1181 Ekologia, evoluutiobiologiafi_FI
dc.okm.internationalcopublicationinternational co-publication
dc.okm.internationalityInternational publication
dc.okm.typeA1 ScientificArticle
dc.publisherCOPERNICUS GESELLSCHAFT MBH
dc.publisher.countryGermanyen_GB
dc.publisher.countrySaksafi_FI
dc.publisher.country-codeDE
dc.relation.doi10.5194/acp-23-9009-2023
dc.relation.ispartofjournalAtmospheric Chemistry and Physics
dc.relation.issue16
dc.relation.volume23
dc.source.identifierhttps://www.utupub.fi/handle/10024/185886
dc.titleSpectral dependence of birch and pine pollen optical properties using a synergy of lidar instruments
dc.year.issued2023

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