Earth System Science Data
Earth System Science Data
Earth System Science Data
Articles | Volume 13, issue 5
Articles | Volume 13, issue 5
https://doi.org/10.5194/essd-13-2053-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-13-2053-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 13, issue 5
Data description paper
 | 
18 May 2021
Data description paper |  | 18 May 2021

The winter 2019 air pollution (PM2.5) measurement campaign in Christchurch, New Zealand

Ethan R. Dale, Stefanie Kremser, Jordis S. Tradowsky, Greg E. Bodeker, Leroy J. Bird, Gustavo Olivares, Guy Coulson, Elizabeth Somervell, Woodrow Pattinson, Jonathan Barte, Jan-Niklas Schmidt, Nariefa Abrahim, Adrian J. McDonald, and Peter Kuma

Viewed

Total article views: 2,472 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,744 641 87 2,472 86 94
  • HTML: 1,744
  • PDF: 641
  • XML: 87
  • Total: 2,472
  • BibTeX: 86
  • EndNote: 94
Views and downloads (calculated since 28 Oct 2020)
Cumulative views and downloads (calculated since 28 Oct 2020)

Viewed (geographical distribution)

Total article views: 2,472 (including HTML, PDF, and XML) Thereof 2,284 with geography defined and 188 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 22 Nov 2024
Download
Short summary
MAPM is a project whose goal is to develop a method to infer particulate matter (PM) emissions maps from PM concentration measurements. In support of MAPM, we conducted a winter field campaign in New Zealand. In addition to two types of instruments measuring PM, an array of other meteorological sensors were deployed, measuring temperature and wind speed as well as probing the vertical structure of the lower atmosphere. In this article, we present the measurements taken during this campaign.
Read more
Altmetrics
Final-revised paper
Preprint