Finnish Meteorological Institute, Helsinki, Finland.
Center of Allergy & Immunology, Tbilisi, Georgia.
Sci Data. 2024 Oct 3;11(1):1082. doi: 10.1038/s41597-024-03686-2.
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.
该数据集对欧洲三种主要树木过敏原属(桤木属、桦木属和橄榄属)的花粉季节进行了长达 43 年的再分析。受气象再分析 ERA5 的驱动,大气成分模型 SILAM 预测了花期,并计算了 1980-2022 年期间花粉在欧洲范围内的扩散模式。该模型应用了一种扩展的 4 维变分数据同化,对 34 个欧洲国家的空气生物学网络的现场观测进行同化,以再现花粉产生和分布的年际可变性和趋势。同化过程的控制变量是每个花期的总花粉释放量,作为每年对平均花粉产量的修正因子来实现。该数据集旨在作为研究欧洲植被受气候影响和人为驱动变化、生物多样性监测、生物气溶胶建模和评估的输入,以及与季节内观测相结合,用于与健康相关的应用。