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Erik Swietlicki. Foto.

Erik Swietlicki

Professor

Erik Swietlicki. Foto.

Source identification during the Great Dun Fell Cloud Experiment 1993

Författare

  • Erik Swietlicki
  • Hans Christen Hansson
  • Bengt Martinsson
  • Besim Mentes
  • Douglas Orsini
  • Birgitta Svenningsson
  • Alfred Wiedensohler
  • Manfred Wendisch
  • Silke Pahl
  • Peter Winkler
  • Roy N. Colvile
  • Rainer Gieray
  • Jens Lüttke
  • Jost Heintzenberg
  • J. Neil Cape
  • Ken J. Hargreaves
  • Robert L. Storeton-West
  • Karin Acker
  • Wolfgang Wieprecht
  • Axel Berner
  • Christian Kruisz
  • M. Cristina Facchini
  • Paolo Laj
  • Sandro Fuzzi
  • Brian Jones
  • Phil Nason
Visa allt

Summary, in English

A characterisation of the sources influencing the site for the final field campaign of the EUROTRAC subproject GCE (Ground-based Cloud Experiment) at Great Dun Fell, Cumbria, Great Britain in April-May 1993 is presented. The sources were characterised mainly by means of aerosol filter and cascade impactor data, single particle analysis, gas data, data on aromatic organic compounds, cloud water ionic composition, measurements of aerosol size distributions and hygroscopic properties and various meteorological information. Receptor models applied on the aerosol filter and impactor data sets separately revealed two major source types being a marine sea spray source and a long-range transported anthropogenic pollution source. The results of the receptor models were largely consistent with the other observations used in the source identification. Periods of considerable anthropogenic pollution as well as almost pure marine air masses were clearly identified during the course of the experiment.

Avdelning/ar

  • Kärnfysik

Publiceringsår

1997-08-01

Språk

Engelska

Sidor

2441-2451

Publikation/Tidskrift/Serie

Atmospheric Environment

Volym

31

Issue

16

Dokumenttyp

Artikel i tidskrift

Förlag

Elsevier

Ämne

  • Meteorology and Atmospheric Sciences
  • Other Physics Topics

Nyckelord

  • Ground-based cloud experiment
  • Receptor modelling
  • Source identification

Status

Published

ISBN/ISSN/Övrigt

  • ISSN: 1352-2310