A new approach used to explore associations of current Ambrosia pollen levels with current and past meteorological elements

István Matyasovszky, L. Makra, Zoltán Csépe, Áron József Deák, Elemér Pál-Molnár, Andrea Fülöp, Gábor Tusnády

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

The paper examines the sensitivity of daily airborne Ambrosia (ragweed) pollen levels of a current pollen season not only on daily values of meteorological variables during this season but also on the past meteorological conditions. The results obtained from a 19-year data set including daily ragweed pollen counts and ten daily meteorological variables are evaluated with special focus on the interactions between the phyto-physiological processes and the meteorological elements. Instead of a Pearson correlation measuring the strength of the linear relationship between two random variables, a generalised correlation that measures every kind of relationship between random vectors was used. These latter correlations between arrays of daily values of the ten meteorological elements and the array of daily ragweed pollen concentrations during the current pollen season were calculated. For the current pollen season, the six most important variables are two temperature variables (mean and minimum temperatures), two humidity variables (dew point depression and rainfall) and two variables characterising the mixing of the air (wind speed and the height of the planetary boundary layer). The six most important meteorological variables before the current pollen season contain four temperature variables (mean, maximum, minimum temperatures and soil temperature) and two variables that characterise large-scale weather patterns (sea level pressure and the height of the planetary boundary layer). Key periods of the past meteorological variables before the current pollen season have been identified. The importance of this kind of analysis is that a knowledge of the past meteorological conditions may contribute to a better prediction of the upcoming pollen season.

Original languageEnglish
Pages (from-to)1179-1188
Number of pages10
JournalInternational Journal of Biometeorology
Volume59
Issue number9
DOIs
Publication statusPublished - Nov 7 2014

Fingerprint

Ambrosia
Pollen
pollen
Temperature
Physiological Phenomena
boundary layer
temperature
Weather
Humidity
Oceans and Seas
dew point
sea level pressure
Soil
Air
soil temperature
Pressure
humidity
wind velocity
weather
rainfall

Keywords

  • Current weather
  • Distance correlation
  • Key period
  • Past weather
  • Ragweed pollen
  • Respiratory allergy

ASJC Scopus subject areas

  • Atmospheric Science
  • Ecology
  • Health, Toxicology and Mutagenesis

Cite this

A new approach used to explore associations of current Ambrosia pollen levels with current and past meteorological elements. / Matyasovszky, István; Makra, L.; Csépe, Zoltán; Deák, Áron József; Pál-Molnár, Elemér; Fülöp, Andrea; Tusnády, Gábor.

In: International Journal of Biometeorology, Vol. 59, No. 9, 07.11.2014, p. 1179-1188.

Research output: Contribution to journalArticle

Matyasovszky, István ; Makra, L. ; Csépe, Zoltán ; Deák, Áron József ; Pál-Molnár, Elemér ; Fülöp, Andrea ; Tusnády, Gábor. / A new approach used to explore associations of current Ambrosia pollen levels with current and past meteorological elements. In: International Journal of Biometeorology. 2014 ; Vol. 59, No. 9. pp. 1179-1188.
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