European pollen reanalysis, 1980–2022, for alder, birch, and olive

The dataset presents a 43 year-long reanalysis of pollen seasons for three major allergenic genera of trees in Europe: alder (Alnus), birch (Betula), and olive (Olea). Driven by the meteorological reanalysis ERA5, the atmospheric composition model SILAM predicted the flowering period and calculated the Europe-wide dispersion pattern of pollen for the years 1980-2022. The model applied an extended 4-dimensional variational data assimilation of in-situ observations of aerobiological networks in 34 European countries to reproduce the inter-annual variability and trends of pollen production and distribution. The control variable of the assimilation procedure was the total pollen release during each flowering season, implemented as an annual correction factor to the mean pollen production. The dataset was designed as an input to studies on climate-induced and anthropogenically driven changes in the European vegetation, biodiversity monitoring, bioaerosol modelling and assessment, as well as, in combination with intra-seasonal observations, for health-related applications.

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Publication Details

Journal
Scientific Data
Published
2024-10-03
DOI
https://doi.org/10.1038/s41597-024-03686-2
Citations
12
Primary Topic
Allergic Rhinitis and Sensitization
Type
article
Field-Weighted Citation Impact
4.59

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article

European pollen reanalysis, 1980–2022, for alder, birch, and olive

Barbara Majkowska‐Wojciechowska, Łukasz Grewling, Evgeny Kadantsev, Yuliia Palamarchuk et al.
12 citations
Scientific Data
Allergic Rhinitis and Sensitization
4.59
article

European pollen reanalysis, 1980–2022, for alder, birch, and olive

Barbara Majkowska‐Wojciechowska, Łukasz Grewling, Evgeny Kadantsev, Yuliia Palamarchuk, G. Oliver, Valentina Ceriotti, Célia M. Antunes, Agnieszka Lipiec, Victoria Rodinkova, Olga Sozinova, Erik Teinemaa, Ondřej Rybníček, Branko Šikoparija, Barbara Stjepanović, Janka Lafférsová, Yolanda Clewlow, Ewa Maria Przedpelska‐Wasowicz, Hallvard Ramfjord, Sevcan Çelenk, Regula Gehrig, Julius Vira, Mikhail A. Sofiev, Arturo H. Ariño, Mika J. Mäkelä, Carmi Geller Bernstein, Idalia Kasprzyk, Carmen Galán, Risto Hänninen, Ingrida Šaulienė, Marje Prank, T Abramidze, Nicolas Visez, Elena Severova, Maira Bonini, Letty A. de Weger, Bernard Clot, Jesús Rojo, Despoina Vokou, Nestor González Roldán, Björn Gedda, Concepción De Linares, Paloma Cariñanos, Pia Östensson, Luís Ruíz Valenzuela, Katarzyna Kluska, Joana Soares, Svyatoslav Tyuryakov, Mathilde Kloster, Yalda Fatahi, Lukas Dirr, Jordina Belmonte, Nicolas Bruffaerts, Sanna Pätsi, Åslög Dahl, Athanasios Charalampopoulos, Maximilian Bastl, Jeroen Buters, Dorota Myszkowska, Uwe Edwin Berger, M.M. Trigo, Valentina Shalaboda, Pilvi Siljamo, Elżbieta Weryszko‐Chmielewska, Tiina Vitikainen, Athanasios Damialis, Delia Fernández‐González, Mieke Koenders, Annika Saarto, Ari Karppinen, Joanna Rapiejko, Donát Magyar, Beverley Adams‐Groom, Agneta Ekebom, Juha Jantunen, Rosa Pérez-Badía, Lenka Hájková, Santiago Fernández-Rodríguez, Rostislav D. Kouznetsov, Andreas Uppstu, Maria Louna‐Korteniemi, María Fernández González, Anders Stangel, Mart Vill, Krystyna Piotrowska-Weryszko, François Hentges, Mirjana Mitrovic, Poliana Leru, F Javier Rodríguyez Rajo, Andreja Kofol Seliger
article en
12 citations

Abstract

The dataset presents a 43 year-long reanalysis of pollen seasons for three major allergenic genera of trees in Europe: alder (Alnus), birch (Betula), and olive (Olea). Driven by the meteorological reanalysis ERA5, the atmospheric composition model SILAM predicted the flowering period and calculated the Europe-wide dispersion pattern of pollen for the years 1980-2022. The model applied an extended 4-dimensional variational data assimilation of in-situ observations of aerobiological networks in 34 European countries to reproduce the inter-annual variability and trends of pollen production and distribution. The control variable of the assimilation procedure was the total pollen release during each flowering season, implemented as an annual correction factor to the mean pollen production. The dataset was designed as an input to studies on climate-induced and anthropogenically driven changes in the European vegetation, biodiversity monitoring, bioaerosol modelling and assessment, as well as, in combination with intra-seasonal observations, for health-related applications.

Scientific DataVol. 11(1)
Medical University of Lublin (PL), Universidad Complutense de Madrid (ES), Universitat Autònoma de Barcelona (ES), Jagiellonian University (PL), Finnish Meteorological Institute (FI), Met Office (GB), Centre National de la Recherche Scientifique (FR), Bursa Uludağ Üni̇versi̇tesi̇ (TR), Federal Office of Meteorology and Climatology MeteoSwiss (CH), University of Helsinki (FI), University of Turku (FI), University of Life Sciences in Lublin (PL), Carol Davila University of Medicine and Pharmacy (RO), Šiauliai University (LT), Centre Hospitalier de Luxembourg (LU), University of Novi Sad (RS), Vilnius University (LT), Universidad de Granada (ES), Shenzhen University (CN), Université Catholique de Lille (FR), Czech Hydrometeorological Institute (CZ), Universität Innsbruck (AT), Universidad de Jaén (ES), Lomonosov Moscow State University (RU), Aristotle University of Thessaloniki (GR), Masaryk University (CZ), University of Évora (PT), Medical University of Warsaw (PL), Sheba Medical Center (IL), Leiden University Medical Center (NL), Swedish Museum of Natural History (SE), Réseau National de Surveillance Aérobiologique (FR), Náttúrufræðistofnun (IS), Instituto Andaluz de Ciencias de la Tierra (ES), Institute of Atmospheric Sciences and Climate (IT), University Hospital Brno (CZ), ENT and Allergy (US), Public Health Authority of the Slovak Republic (SK), Health Protection Agency (MV), Elkerliek Ziekenhuis (NL), Estonian Environmental Research Center (Estonia) (EE), AIDS and Clinical Immunology Research Center (GE), Medical University of Lodz (PL), German Center for Lung Research (DE), National Pirogov Memorial Medical University, Vinnytsya (UA), National Laboratory of Health, Environment and Food (SI), Andrija Stampar Teaching Institute of Public Health (HR), Sciensano (Belgium) (BE), Regulatory Agency for Electronic Communications and Postal Services (RS), Allergy and Asthma Federation (FI), Shenzhen Technology University (CN), Spitalul Clinic Colentina (RO), BioSense Institute (RS), University of Córdoba (ES), Belarusian State Medical University (BY), Adam Mickiewicz University in Poznań (PL), Universidade de Vigo (ES), NILU (NO), Medical University of Vienna (AT), University of Castilla-La Mancha (ES), Universidad de Extremadura (ES), University of Worcester (GB), Universidad de Málaga (ES), University of Gothenburg (SE), Universidad de Navarra (ES), Universidad de León (ES), University of Latvia (LV), University of Rzeszów (PL)
Izglītības un zinātnes ministrija, Academy of Finland, Horizon 2020 Framework Programme
Climate action
Openalex Percentile: Top 5%
Allergic Rhinitis and Sensitization
4.59
DOIOpen Access PDFOpenAlex
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