ArticleAerobiologia2017
On impact of transport conditions on variability of the seasonal pollen index.
Article in Aerobiologia, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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Who cites it
10 citing papers in PubMed.
- European pollen reanalysis, 1980-2022, for alder, birch, and olive.Scientific data · 2024Article
- Climate change, airborne allergens, and three translational mitigation approaches.EBioMedicine · 2023Review
- Article
- Modeling past and future spatiotemporal distributions of airborne allergenic pollen across the contiguous United States.Frontiers in allergy · 2022Article
- Organic and aqueous extraction of lipids from birch pollen grains exposed to gaseous pollutants.Environmental science and pollution research international · 2021Article
- The influence of source maps on SILAM performance in modeling ragweed pollen concentrations in the area of a major European source.International journal of biometeorology · 2021Article
- Predicting the severity of the grass pollen season and the effect of climate change in Northwest Europe.Science advances · 2021Article
- A First Pre-season Pollen Transport Climatology to Bavaria, Germany.Frontiers in allergy · 2021Article
- Review
- The Clinical Utility of Pollen Counts.Clinical reviews in allergy & immunology · 2019Review
Corrections and comments
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Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This discussion paper reveals the contribution of pollen transport conditions to the inter-annual variability of the seasonal pollen index (SPI). This contribution is quantified as a sensitivity of the pollen model predictions to meteorological variability and is shown to be a noticeable addition to the SPI variability caused by plant reproduction cycles. A specially designed SILAM model re-analysis of pollen seasons 1980-2014 was performed, resulting in the 35 years of the SPI predictions over Europe, which was used to compute the SPI inter-annual variability. The current paper presents the results for birch and grass. Throughout the re-analysis, the source term formulations and habitation maps were kept constant, which allowed attributing the obtained variability exclusively to the pollen release and transport conditions during the flowering seasons. It is shown that the effect is substantial: it amounts to 10-20% (grass) and 20-40% (birch) of the observed SPI year-to-year changes reported in the literature. The phenomenon has well-pronounced spatial- and species-specific patterns. The findings were compared with observation-based statistical models for the SPI prediction, showing that such models highlight the same processes as the analysis with the SILAM model.
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Registered trials
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