Articles | Volume 23, issue 22
https://doi.org/10.5194/acp-23-14325-2023
https://doi.org/10.5194/acp-23-14325-2023
Research article
 | 
20 Nov 2023
Research article |  | 20 Nov 2023

Understanding greenhouse gas (GHG) column concentrations in Munich using the Weather Research and Forecasting (WRF) model

Xinxu Zhao, Jia Chen, Julia Marshall, Michal Gałkowski​​​​​​​, Stephan Hachinger, Florian Dietrich, Ankit Shekhar, Johannes Gensheimer, Adrian Wenzel, and Christoph Gerbig

Viewed

Total article views: 3,212 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,316 841 55 3,212 169 47 45
  • HTML: 2,316
  • PDF: 841
  • XML: 55
  • Total: 3,212
  • Supplement: 169
  • BibTeX: 47
  • EndNote: 45
Views and downloads (calculated since 17 May 2022)
Cumulative views and downloads (calculated since 17 May 2022)

Viewed (geographical distribution)

Total article views: 3,212 (including HTML, PDF, and XML) Thereof 3,206 with geography defined and 6 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 22 Nov 2024
Download
Short summary
We develop a modeling framework using the Weather Research and Forecasting model at a high spatial resolution (up to 400 m) to simulate atmospheric transport of greenhouse gases and interpret column observations. Output is validated against weather stations and column measurements in August 2018. The differential column method is applied, aided by air-mass transport tracing with the Stochastic Time-Inverted Lagrangian Transport (STILT) model, also for an exploratory measurement interpretation.
Altmetrics
Final-revised paper
Preprint