Literature DB >> 18651182

Numerical simulation of birch pollen dispersion with an operational weather forecast system.

Heike Vogel1, Andreas Pauling, Bernhard Vogel.   

Abstract

We included a parameterisation of the emissions of pollen grains into the comprehensive model system COSMO-ART. In addition, a detailed density distribution of birch trees within Switzerland was derived. Based on these new developments, we carried out numerical simulations of the dispersion of pollen grains for an episode that occurred in April 2006 over Switzerland and the adjacent regions. Since COSMO-ART is based on the operational forecast model of the German Weather Service, we are presenting a feasibility study of daily pollen forecast based on methods which have been developed during the last two decades for the treatment of anthropogenic aerosol. A comparison of the model results and very detailed pollen counts documents the current possibilities and the shortcomings of the method and gives hints for necessary improvements.

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Year:  2008        PMID: 18651182     DOI: 10.1007/s00484-008-0174-3

Source DB:  PubMed          Journal:  Int J Biometeorol        ISSN: 0020-7128            Impact factor:   3.787


  2 in total

1.  A model of pollen-mediated gene flow for oilseed rape.

Authors:  P J Walklate; J C R Hunt; H L Higson; J B Sweet
Journal:  Proc Biol Sci       Date:  2004-03-07       Impact factor: 5.349

2.  Towards numerical forecasting of long-range air transport of birch pollen: theoretical considerations and a feasibility study.

Authors:  M Sofiev; P Siljamo; H Ranta; A Rantio-Lehtimäki
Journal:  Int J Biometeorol       Date:  2006-04-05       Impact factor: 3.787

  2 in total
  20 in total

1.  A mechanistic modeling system for estimating large scale emissions and transport of pollen and co-allergens.

Authors:  Christos Efstathiou; Sastry Isukapalli; Panos Georgopoulos
Journal:  Atmos Environ (1994)       Date:  2011-04-01       Impact factor: 4.798

2.  A method to derive vegetation distribution maps for pollen dispersion models using birch as an example.

Authors:  A Pauling; M W Rotach; R Gehrig; B Clot
Journal:  Int J Biometeorol       Date:  2011-11-17       Impact factor: 3.787

3.  Aerobiology in the International Journal of Biometeorology, 1957-2017.

Authors:  Paul J Beggs; Branko Šikoparija; Matt Smith
Journal:  Int J Biometeorol       Date:  2017-06-12       Impact factor: 3.787

4.  The medical and scientific responsibility of pollen information services.

Authors:  Katharina Bastl; Markus Berger; Karl-Christian Bergmann; Maximilian Kmenta; Uwe Berger
Journal:  Wien Klin Wochenschr       Date:  2016-10-19       Impact factor: 1.704

5.  A numerical model of birch pollen emission and dispersion in the atmosphere. Model evaluation and sensitivity analysis.

Authors:  Pilvi Siljamo; Mikhail Sofiev; Elena Filatova; Łukasz Grewling; Siegfried Jäger; Ekaterina Khoreva; Tapio Linkosalo; Sara Ortega Jimenez; Hanna Ranta; Auli Rantio-Lehtimäki; Anton Svetlov; Laura Veriankaite; Ekaterina Yakovleva; Jaakko Kukkonen
Journal:  Int J Biometeorol       Date:  2012-03-22       Impact factor: 3.787

6.  On the causes of variability in amounts of airborne grass pollen in Melbourne, Australia.

Authors:  Julian de Morton; John Bye; Alexandre Pezza; Edward Newbigin
Journal:  Int J Biometeorol       Date:  2010-09-04       Impact factor: 3.787

7.  Climate change effect on Betula (birch) and Quercus (oak) pollen seasons in the United States.

Authors:  Yong Zhang; Leonard Bielory; Panos G Georgopoulos
Journal:  Int J Biometeorol       Date:  2013-06-21       Impact factor: 3.787

8.  Development of a semi-mechanistic allergenic pollen emission model.

Authors:  Ting Cai; Yong Zhang; Xiang Ren; Leonard Bielory; Zhongyuan Mi; Christopher G Nolte; Yang Gao; L Ruby Leung; Panos G Georgopoulos
Journal:  Sci Total Environ       Date:  2018-10-18       Impact factor: 7.963

9.  A numerical model of birch pollen emission and dispersion in the atmosphere. Description of the emission module.

Authors:  M Sofiev; P Siljamo; H Ranta; T Linkosalo; S Jaeger; A Rasmussen; A Rantio-Lehtimaki; E Severova; J Kukkonen
Journal:  Int J Biometeorol       Date:  2012-03-13       Impact factor: 3.787

10.  Ambrosia pollen source inventory for Italy: a multi-purpose tool to assess the impact of the ragweed leaf beetle (Ophraella communa LeSage) on populations of its host plant.

Authors:  M Bonini; Branko Šikoparija; C A Skjøth; G Cislaghi; P Colombo; C Testoni; M Smith
Journal:  Int J Biometeorol       Date:  2017-11-21       Impact factor: 3.787

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