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Sofiev, M.* ; Palamarchuk, J.* ; Kouznetsov, R.* ; Abramidze, T.* ; Adams-Groom, B.* ; Antunes, C.M.* ; Ariño, A.H.* ; Bastl, M.* ; Belmonte, J.* ; Berger, U.E.* ; Bonini, M.* ; Bruffaerts, N.* ; Buters, J.T.M. ; Cariñanos, P.* ; Celenk, S.* ; Ceriotti, V.* ; Charalampopoulos, A.* ; Clewlow, Y.* ; Clot, B.* ; Dahl, A.* ; Damialis, A.* ; De Linares, C.* ; de Weger, L.A.* ; Dirr, L.* ; Ekebom, A.* ; Fatahi, Y.* ; Fernández González, M.* ; Fernández González, D.* ; Fernández-Rodríguez, S.* ; Galán, C.* ; Gedda, B.* ; Gehrig, R.* ; Geller Bernstein, C.* ; Gonzalez Roldan, N.* ; Grewling, L.* ; Hajkova, L.* ; Hänninen, R.* ; Hentges, F.* ; Jantunen, J.* ; Kadantsev, E.* ; Kasprzyk, I.* ; Kloster, M.* ; Kluska, K.* ; Koenders, M.* ; Lafférsová, J.* ; Leru, P.M.* ; Lipiec, A.* ; Louna-Korteniemi, M.* ; Magyar, D.* ; Majkowska-Wojciechowska, B.* ; Mäkelä, M.* ; Mitrovic, M.* ; Myszkowska, D.* ; Oliver, G.* ; Östensson, P.* ; Pérez-Badía, R.* ; Piotrowska-Weryszko, K.* ; Prank, M.* ; Przedpelska-Wasowicz, E.M.* ; Pätsi, S.* ; Rajo, F.J.R.* ; Ramfjord, H.* ; Rapiejko, J.* ; Rodinkova, V.* ; Rojo, J.* ; Ruíz-Valenzuela, L.* ; Rybníček, O.* ; Saarto, A.* ; Sauliene, I.* ; Seliger, A.K.* ; Severova, E.* ; Shalaboda, V.* ; Sikoparija, B.* ; Siljamo, P.* ; Soares, J.* ; Sozinova, O.* ; Stangel, A.* ; Stjepanovic, B.* ; Teinemaa, E.* ; Tyuryakov, S.* ; Trigo, M.M.* ; Uppstu, A.* ; Vill, M.* ; Vira, J.* ; Visez, N.* ; Vitikainen, T.* ; Vokou, D.* ; Weryszko-Chmielewska, E.* ; Karppinen, A.*

European pollen reanalysis, 1980-2022, for alder, birch, and olive.

Sci. Data 11:1082 (2024)
Publ. Version/Full Text DOI PMC
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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 type Article: Journal article
Document type Scientific Article
Keywords Panda Prediction System; Air-quality; Data Assimilation; Ensemble Forecasts; Allergenic Pollen; Eastern China; Emission; Model; Co2; Dispersion
Language english
Publication Year 2024
HGF-reported in Year 2024
ISSN (print) / ISBN 2052-4463
e-ISSN 2052-4463
Journal Scientific Data
Quellenangaben Volume: 11, Issue: 1, Pages: , Article Number: 1082 Supplement: ,
Publisher Nature Publishing Group
Publishing Place London
Reviewing status Peer reviewed
Institute(s) Institute for Allergy Research (IAF)
POF-Topic(s) 30202 - Environmental Health
Research field(s) Allergy
PSP Element(s) G-505400-001
Grants Latvian science base
SPORELIFE
ALL-Impress
Academy of Finland
Copernicus CAMS2_40
EO4EU
CATALYSE
Horizon projects SYLVA
DOI 10.1038/s41597-024-03686-2
WOS ID 001328627000006
Scopus ID 85205605691
PubMed ID 39362896
Erfassungsdatum 2024-11-11
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