Meteorological normalisation of tropospheric ozone using back trajectories
(English)Manuscript (preprint) (Other academic)
The objective of meteorological normalisation of air quality measurements is to extract anthropogenic signals by removing meteorologically driven fluctuations in the collected data. We found that standard normalisation procedures involving regression of air quality on local meteorological data can be improved by incorporating information on four-day back trajectories of the sampled air masses. A case study of tropospheric ozone data revealed that the most efficient normalisation was achieved by including selected trajectory coordinates directly in multivariate regression models. Summarising the trajectories into clusters or sector values prior to the normalisation indicated that there was a slight loss of information.
Engineering and Technology
IdentifiersURN: urn:nbn:se:liu:diva-86417OAI: oai:DiVA.org:liu-86417DiVA: diva2:577026