Recommended terminology for aerobiological studies : automatic and real-time monitoring methods
Tummon, Fiona (Federal Office of Meteorology and Climatology MeteoSwiss)
Bastl, Katharina (Medical University of Vienna)
Bastl, Maximilian (Medical University of Vienna)
Beggs, Paul J. (Macquarie University)
Belmonte, Jordina (Universitat Autònoma de Barcelona. Departament de Biologia Animal, de Biologia Vegetal i d'Ecologia)
Bruffaerts, Nicolas (Sciensano)
Charalampopoulos, Athanasios (School of Biology)
Clot, Bernard (Federal Office of Meteorology and Climatology MeteoSwiss)
Cristofori, Antonella (Istituto Agrario San Michele all'Adige)
Crouzy, Benoît (Federal Office of Meteorology and Climatology MeteoSwiss)
Damialis, Athanasios (School of Biology)
Erb, Sophie (Federal Office of Meteorology and Climatology MeteoSwiss)
Galán Hidalgo, Carmen (University of Córdoba)
Graf, Elias (Swisens AG)
Haus, Jörg (Helmut Hund GmbH)
Koch, Kilian (Swisens AG)
Lieberherr, Gian (Federal Office of Meteorology and Climatology MeteoSwiss)
Lbadaoui-Darvas, Maria (Federal Office of Meteorology and Climatology MeteoSwiss)
Meurville, Marie Pierre (Federal Office of Meteorology and Climatology MeteoSwiss)
Niederberger, Erny (Swisens AG)
Oteros, Jose (University of Córdoba)
Pérez-Badia, Rosa (University of Castilla-La Mancha)
Ribeiro, Helena (University of Porto)
Schwendimann, Andreas (Swisens AG)
Sikoparija, Branko (University of Novi Sad)
Skjoth, Carsten (Aarhus University)
Smith, Matt (University of Worcester)
Sofiev, Mikhail (Finnish Meteorological Institute)
Ritenberga, Olga (University of Latvia)
Sukiene, Laura (Vilnius University Šiauliai Academy)
Vasilatou, Konstantina (Federal Institute of Metrology METAS)
Verstraeten, Willem W. (Royal Meteorological Institute of Belgium)
Zeder, Yanick (Swisens AG)
Zemmer, Franziska (Independent Researcher)
Universitat Autònoma de Barcelona. Institut de Ciència i Tecnologia Ambientals

Data:	2025
Resum:	Since Galán et al. (2017) published important definitions for terms to be used in aerobiological studies, techniques have evolved regarding automatic and real-time monitoring of pollen and fungal spores, with a range of different technologies having been established over the past decade. These developments have been accompanied by the emergence of a new set of specific and common terminologies related not only to the instrumental hardware but also particularly to the machine learning algorithms that are used to classify particles. The aim of this article is to update the recommended aerobiological terminology, including definitions related to automatic and real-time monitoring and to new applications using real-time data, such as numerical forecast models. This is particularly important for the standardisation of procedures, the homogenisation of time series, using data from both manual and automatic methods, as well as simply for ensuring the community has a common language to work with.
Nota:	Unidad de excelencia María de Maeztu CEX2019-000940-M
Drets:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.
Llengua:	Anglès
Document:	Article ; recerca ; Versió publicada
Matèria:	Automatic monitoring ; Fungal spores ; Pollen ; Terminology
Publicat a:	Aerobiologia, (October 2025) , ISSN 1573-3025

DOI: 10.1007/s10453-025-09879-5

7 p, 572.2 KB

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