Published 2008 | Version v1
Miscellaneous

Global source identification of arctic air pollution using statistical analysis of particle dispersion model output and measurement data

  • 1. Norwegian Institute for Air Research, Norway (Norway)

Description

Full text: Arctic air pollution has received renewed interest recently because of its contribution to climate change in the arctic. Nevertheless, its sources are still not known with sufficient accuracy. Most of our understanding of artic air pollution sources is based on model simulations, analysis of air pollution episodes or, at best, statistical analysis of air mass back-trajectories. We present a new approach, namely combining the output of a Lagrangian particle dispersion model, FLEXPART, with measurement data from Arctic air pollution monitoring sites (Alert, Barrow, Zeppelin). This approach is similar to existing statistical methods for analyzing back-trajectories in conjunction with air pollution monitoring data. However, it has the advantage that the underlying model calculations also take into account turbulence and convection in the atmosphere, which are ignored by ordinary trajectory calculations. FLEXPART is run 20 days backward in time from each of the stations and every three hours, for several years. With every calculation, a so-called potential emission sensitivity (PES) field is obtained, which identifies where the measured air mass has come into contact with the Earth's surface. It quantitatively measures the sensitivity of the signal obtained at the station, to emissions occurring at or near the surface. By combining these PES fields with measured concentrations of several trace species and performing a statistical analysis, we identify where the measured species originate. Statistical analyses are performed both for average concentrations as well as the 10th and 90th percentiles of the measured frequency distribution. We show results for black carbon (BC), carbon monoxide (CO) and ozone (O3) for every station individually as well as by combining data from all stations, both yearly and for different seasons of the year. We find strong differences in source regions between the 10th and 90th percentiles, in particular for CO. (author)

Part of:
Geophysical Research Abstracts. Volume 10

Additional details

Publishing Information

Publisher
Copernicus publications
Imprint Title
Geophysical Research Abstracts. Volume 10
Imprint Pagination
[400 p.]
Journal Page Range
[1 p.]
ISSN
1607-7962

Conference

Title
5. European Geosciences Union General Assembly 2008
Dates
13-18 Apr 2008
Place
Vienna (Austria)

INIS

Country of Publication
Austria
Country of Input or Organization
Austria
INIS RN
40083765
Subject category
S54: ENVIRONMENTAL SCIENCES;
Resource subtype / Literary indicator
Conference, Non-conventional Literature
Descriptors DEI
AIR POLLUTION MONITORING; ARCTIC REGIONS; CARBON BLACK; CARBON MONOXIDE; CLIMATE MODELS; CLIMATIC CHANGE; COMPUTER CALCULATIONS; DATA ANALYSIS; OZONE; POLLUTION SOURCES; SEASONAL VARIATIONS
Descriptors DEC
CARBON; CARBON COMPOUNDS; CARBON OXIDES; CHALCOGENIDES; CRYOSPHERE; ELEMENTS; MATHEMATICAL MODELS; MONITORING; NONMETALS; OXIDES; OXYGEN COMPOUNDS; POLAR REGIONS; VARIATIONS

Optional Information