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

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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.
Original languageEnglish
Article number1082
Number of pages19
JournalScientific Data
Volume11
Issue number1
DOIs
Publication statusPublished - 3 Oct 2024

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 13 - Climate Action
    SDG 13 Climate Action

Keywords

  • Allergens
  • Alnus
  • Betula
  • Environmental Monitoring
  • Europe
  • Olea
  • Pollen
  • Seasons
  • Ensemble forecasts
  • Co2
  • Emission
  • Eastern china
  • Dispersion
  • Air-quality
  • Model
  • Allergenic pollen
  • Panda prediction system
  • Data assimilation

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