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NanoMap: Geographical mapping of atmospheric new-particle formation through analysis of particle number size distribution and trajectory data

Kristensson, Adam LU ; Johansson, Martin; Swietlicki, Erik LU ; Kivekäs, Niku LU ; Hussein, Tareq; Nieminen, Tuomo; Kulmala, Markku and Dal Maso, Miikka (2014) In Boreal Environment Research: An International Interdisciplinary Journal 19. p.329-342
Abstract
Particle number size distributions at various field sites are used to identify atmospheric new-particle formation (NPF) event days. However, the spatial distribution of regionally extensive events is unknown. To remedy this situation, the NanoMap method has been developed to enable the estimation of where NPF occurs within 500 km from any field station using as input size distribution and meteorological trajectories only. Also, the horizontal extension of NPF can be determined. An open-source program to run NanoMap is available on the internet. NanoMap has been developed using as an example the Finnish field site at Hyytiala. It shows that there are frequent NPF events over the Baltic Sea, but not as frequent as over Finland for certain... (More)
Particle number size distributions at various field sites are used to identify atmospheric new-particle formation (NPF) event days. However, the spatial distribution of regionally extensive events is unknown. To remedy this situation, the NanoMap method has been developed to enable the estimation of where NPF occurs within 500 km from any field station using as input size distribution and meteorological trajectories only. Also, the horizontal extension of NPF can be determined. An open-source program to run NanoMap is available on the internet. NanoMap has been developed using as an example the Finnish field site at Hyytiala. It shows that there are frequent NPF events over the Baltic Sea, but not as frequent as over Finland for certain wind directions; hence NanoMap is able to pinpoint areas with a low or high occurrence of NPF events. The method should be applicable to almost any field site. (Less)
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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Boreal Environment Research: An International Interdisciplinary Journal
volume
19
pages
329 - 342
publisher
Finnish Zoological and Botanical Publishing Board
external identifiers
  • wos:000342654100021
ISSN
1239-6095
project
MERGE
language
English
LU publication?
yes
id
1d7b53df-bebe-47ec-bccc-21059b119967 (old id 4803533)
date added to LUP
2014-11-28 14:23:01
date last changed
2016-04-15 23:54:26
@article{1d7b53df-bebe-47ec-bccc-21059b119967,
  abstract     = {Particle number size distributions at various field sites are used to identify atmospheric new-particle formation (NPF) event days. However, the spatial distribution of regionally extensive events is unknown. To remedy this situation, the NanoMap method has been developed to enable the estimation of where NPF occurs within 500 km from any field station using as input size distribution and meteorological trajectories only. Also, the horizontal extension of NPF can be determined. An open-source program to run NanoMap is available on the internet. NanoMap has been developed using as an example the Finnish field site at Hyytiala. It shows that there are frequent NPF events over the Baltic Sea, but not as frequent as over Finland for certain wind directions; hence NanoMap is able to pinpoint areas with a low or high occurrence of NPF events. The method should be applicable to almost any field site.},
  author       = {Kristensson, Adam and Johansson, Martin and Swietlicki, Erik and Kivekäs, Niku and Hussein, Tareq and Nieminen, Tuomo and Kulmala, Markku and Dal Maso, Miikka},
  issn         = {1239-6095},
  language     = {eng},
  pages        = {329--342},
  publisher    = {Finnish Zoological and Botanical Publishing Board},
  series       = {Boreal Environment Research: An International Interdisciplinary Journal},
  title        = {NanoMap: Geographical mapping of atmospheric new-particle formation through analysis of particle number size distribution and trajectory data},
  volume       = {19},
  year         = {2014},
}