TY - JOUR
T1 - European pollen reanalysis, 1980–2022, for alder, birch, and olive
AU - Sofiev, Mikhail
AU - Palamarchuk, Julia
AU - Kouznetsov, Rostislav
AU - Abramidze, Tamuna
AU - Adams-Groom, Beverley
AU - Antunes, Célia M.
AU - Ariño, Arturo H.
AU - Bastl, Maximilian
AU - Belmonte, Jordina
AU - Berger, Uwe E.
AU - Bonini, Maira
AU - Bruffaerts, Nicolas
AU - Buters, Jeroen
AU - Cariñanos, Paloma
AU - Celenk, Sevcan
AU - Ceriotti, Valentina
AU - Charalampopoulos, Athanasios
AU - Clewlow, Yolanda
AU - Clot, Bernard
AU - Dahl, Aslog
AU - Damialis, Athanasios
AU - De Linares, Concepción
AU - De Weger, Letty A.
AU - Dirr, Lukas
AU - Ekebom, Agneta
AU - Fatahi, Yalda
AU - Fernández González, María
AU - Fernández González, Delia
AU - Fernández-Rodríguez, Santiago
AU - Galán, Carmen
AU - Gedda, Björn
AU - Gehrig, Regula
AU - Geller Bernstein, Carmi
AU - Gonzalez Roldan, Nestor
AU - Grewling, Lukasz
AU - Hajkova, Lenka
AU - Hänninen, Risto
AU - Hentges, François
AU - Jantunen, Juha
AU - Kadantsev, Evgeny
AU - Kasprzyk, Idalia
AU - Kloster, Mathilde
AU - Kluska, Katarzyna
AU - Koenders, Mieke
AU - Lafférsová, Janka
AU - Leru, Poliana Mihaela
AU - Lipiec, Agnieszka
AU - Louna-Korteniemi, Maria
AU - Magyar, Donát
AU - Majkowska-Wojciechowska, Barbara
N1 - Publisher Copyright:
© The Author(s) 2024.
PY - 2024/10/3
Y1 - 2024/10/3
N2 - 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.
AB - 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.
KW - Allergens
KW - Alnus
KW - Betula
KW - Environmental Monitoring
KW - Europe
KW - Olea
KW - Pollen
KW - Seasons
KW - Ensemble forecasts
KW - Co2
KW - Emission
KW - Eastern china
KW - Dispersion
KW - Air-quality
KW - Model
KW - Allergenic pollen
KW - Panda prediction system
KW - Data assimilation
UR - https://www.scopus.com/pages/publications/85205605691
UR - https://www.mendeley.com/catalogue/4e4465f1-7dba-3a5b-a13e-71c5b399ee1c/
UR - https://portalrecerca.uab.cat/en/publications/a0ac757c-7f0b-4b26-8261-6810e004ffc2
U2 - 10.1038/s41597-024-03686-2
DO - 10.1038/s41597-024-03686-2
M3 - Article
C2 - 39362896
SN - 2052-4463
VL - 11
JO - Scientific Data
JF - Scientific Data
IS - 1
M1 - 1082
ER -