Articles | Volume 23, issue 22
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


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on acp-2022-281', Anonymous Referee #1, 19 Oct 2022
    • AC1: 'Reply on RC1', Xinxu Zhao, 14 Apr 2023
  • RC2: 'Comment on acp-2022-281', Anonymous Referee #2, 16 Dec 2022
    • AC2: 'Reply on RC2', Xinxu Zhao, 14 Apr 2023

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Xinxu Zhao on behalf of the Authors (27 Jun 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (30 Jun 2023) by Manvendra Krishna Dubey
AR by Xinxu Zhao on behalf of the Authors (13 Aug 2023)  Manuscript 
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.
Final-revised paper