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Monitoring, Modelling and Forecasting of the Pollen Season

Scheifinger, H., Belmonte, J., Buters, J., Celenk, S., Damialis, A., Dechamp, C., García-Mozo, H., Gehrig, R., Grewling, Ł., Halley, J.H., Hogda, K., Jäger, S., Karatzas, K., Karlsen, S., Koch, E., Pauling, A., Peel, R., Šikoparija, B., Smith, Matt ORCID: https://orcid.org/0000-0002-4170-2960, Galán Soldevilla, C., Thibaudon, M., Vokou, D. and de Weger, L.A. (2013) Monitoring, Modelling and Forecasting of the Pollen Season. In: Allergenic Pollen. Springer Netherlands, Dordrecht, pp. 71-126. ISBN 978-94-007-4880-4 Online: 978-94-007-4881-1

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Abstract

The section about monitoring covers the development of phenological networks, remote sensing of the season cycle of the vegetation, the emergence of the science of aerobiology and, more specifically, aeropalynology, pollen sampling instruments, pollen counting techniques, applications of aeropalynology in agriculture and the European Pollen Information System. Three data sources are directly related with aeropalynology: phenological observations, pollen counts and remote sensing of the vegetation activity. The main future challenge is the assimilation of these data streams into numerical pollen forecast systems. Over the last decades consistent monitoring efforts of various national networks have created a wealth of pollen concentration time series. These constitute a nearly untouched treasure, which is still to be exploited to investigate questions concerning pollen emission, transport and deposition. New monitoring methods allow measuring the allergen content in pollen. Results from research on the allergen content in pollen are expected to increase the quality of the operational pollen forecasts.

Item Type: Book Section
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Uncontrolled Discrete Keywords: aerobiology, aeropalynology, phenology, pollen modelling, phenological modelling
Subjects: G Geography. Anthropology. Recreation > GE Environmental Sciences
Divisions: College of Health, Life and Environmental Sciences > School of Science and the Environment
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Depositing User: Matthew Smith
Date Deposited: 21 Jul 2017 12:32
Last Modified: 08 Sep 2020 04:00
URI: https://eprints.worc.ac.uk/id/eprint/5732

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