Articles | Volume 13, issue 5
Earth Syst. Sci. Data, 13, 2053–2075, 2021
https://doi.org/10.5194/essd-13-2053-2021
Earth Syst. Sci. Data, 13, 2053–2075, 2021
https://doi.org/10.5194/essd-13-2053-2021

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 et al.

Data sets

MAPM Campaign Data 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 https://doi.org/10.5281/zenodo.4536639

MAPM Campaign PM Data Ethan R. Dale, Stefanie Kremser, Jordis S. Tradowsky, Greg E. Bodeker, Leroy J. Bird, Gustavo Olivares, Guy Coulson, Elizabeth Somervell, Woodrow Pattinson, Jonathan Barte, and Jan-Niklas Schmidt, https://doi.org/10.5281/zenodo.4542559

Model code and software

MAPM Uncertainty Code (Version V1.0) Guy Coulson, Gustavo Olivares, and Elizabeth Somervell https://doi.org/10.5281/zenodo.4748237

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.