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Scientific journal publication

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

Sofiev, Mikhail; Palamarchuk, Julia; Kouznetsov, Rostislav; Abramidze, Tamuna; Adams-Groom, Beverley; Antunes, Célia M.; Ariño, Arturo; Bastl, Maximillan; Belmonte, Jordina; Berger, Uwe Edwin; Bonini, Maira; Bruffaerts, Nicolas; Buters, Jeroen T.M.; Cariñanos, Paloma; Celenk, Sevcan; Ceriotti, Valentina; Charalampopoulos, Athanasios; Clewlow, Yolanda; Clot, Bernhard; Dahl, Aslog; Damialis, Athanasios; De Linares, Concepción; de Weger, Letty A; Dirr, Lukas; Ekebom, Agneta; Fatahi, Yalda; Fernández González, Maria; Fernández González, Delia; Fernández-Rodríguez, Santiago; Galán, Carmen; Gedda, Björn; Gehrig, Regula; Geller Bernstein, Carmi; Gonzalez Roldan, Nestor; Grewling, Łukasz; Hajkova, Lenka; Hanninen, Risto; Hentges, François; Jantunen, Juha; Kadantsev, Evgeny; Kasprzyk, Idalia; Kloster, Mathilde; Kluska, Katarzyna; Koenders, Mieke; Lafférsová, Janka; Leru, Poliana Mihaela; Lipiec, Agnieszka; Louna-Korteniemi, Maria; Magyar, Donat; Majkowska-Wojciechowska, Barbara; Mäkelä, Mika; Mitrovic, Mirjana; Myszkowska, Dorota; Oliver, Gilles; Östensson, Pia; Ramfjord, Hallvard; Soares, Joana

Publication details

Journal: Scientific Data, vol. 11, 1082, 2024

Doi: doi.org/10.1038/s41597-024-03686-2

Summary:
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.