DLR-Logo -> http://www.dlr.de
DLR Portal Home | Imprint | Privacy Policy | Contact | Deutsch
Fontsize: [-] Text [+]

Understanding greenhouse gas (GHG) column concentrations in Munich using WRF

Zhao, Xinxu and Chen, Jia and Marshall, Julia and Gałkowski, Michal and Hachinger, Stephan and Dietrich, Florian and Shekhar, Ankit and Gensheimer, Johannes and Wenzel, Adrian and Gerbig, Christoph (2022) Understanding greenhouse gas (GHG) column concentrations in Munich using WRF. Atmospheric Chemistry and Physics Discussions (ACPD). Copernicus Publications. doi: 10.5194/acp-2022-281. ISSN 1680-7367. (Submitted)

[img] PDF - Preprint version (submitted draft)

Official URL: https://dx.doi.org/10.5194/acp-2022-281


To address ambitious goals of carbon neutrality set at national and city scales, a number of atmospheric networks have been deployed to monitor greenhouse gas (GHG) concentrations in and around cities. To convert these measurements into estimates of emissions from cities, atmospheric models are used to simulate the transport of various tracer gases and help interpret these measurements. We set up a modelling framework using the Weather Research and Forecasting (WRF) model applied at a high spatial resolution (up to 400 m) to simulate the atmospheric transport of GHGs and interpret the observations provided by the Munich Urban Carbon Column Network (MUCCnet). Building on previous analyses using similar measurements performed within a campaign for the city of Berlin and its surroundings (Zhao et al., 2019), our modelling framework has been improved regarding the initialization of tagged tracers, model settings, and input data. To assess the model performance, we validate the modelled output against two local weather stations and observed column GHG concentrations provided by MUCCnet from 1 to 30 August 2018. The modelled wind matches well with the measurements from the weather stations, with wind speeds slightly overestimated. The measured slant column concentrations of GHGs and their variability are generally reproduced by the model, with a bias in CO2 of around 3.7 ppm that can be attributed to the initial and boundary conditions used. The differential column method (DCM) has been applied to cancel out the influence from the background concentrations of CO2. We optimize its application by selecting suitable days on which the assumption of the DCM holds true: a relatively uniform air mass travels over the city, passing from an upwind site to a downwind site. In particular, the Stochastic Time-Inverted Lagrangian Transport model (STILT) is used here and driven by our WRF modelled meteorological fields to obtain footprints (i.e., the potential areas of influence for signals observed at specific points), further used for interpreting measurement results. Combining these footprints with knowledge of local emission sources, we find evidence of CH4 sources near Munich that are missing or underestimated in the emission inventory used. This demonstrates the potential of this data-model framework to constrain local sources and improve emission inventories.

Item URL in elib:https://elib.dlr.de/191752/
Document Type:Article
Title:Understanding greenhouse gas (GHG) column concentrations in Munich using WRF
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Zhao, XinxuTU München, München GermanyUNSPECIFIEDUNSPECIFIED
Chen, JiaTU München, München GermanyUNSPECIFIEDUNSPECIFIED
Marshall, JuliaDLR, IPAhttps://orcid.org/0000-0003-2648-128XUNSPECIFIED
Gałkowski, MichalMPI for Biogeochemistry, Jena, GermanyUNSPECIFIEDUNSPECIFIED
Hachinger, StephanLeibniz-Rechenzenturm, LRZ, Garching, GermanyUNSPECIFIEDUNSPECIFIED
Dietrich, FlorianTU München, München GermanyUNSPECIFIEDUNSPECIFIED
Gensheimer, JohannesTU München, München GermanyUNSPECIFIEDUNSPECIFIED
Wenzel, AdrianTU München, München GermanyUNSPECIFIEDUNSPECIFIED
Gerbig, ChristophMPI for Biogeochemistry, Jena, Germanyhttps://orcid.org/0000-0002-1112-8603UNSPECIFIED
Date:17 May 2022
Journal or Publication Title:Atmospheric Chemistry and Physics Discussions (ACPD)
Refereed publication:No
Open Access:Yes
Gold Open Access:Yes
In ISI Web of Science:No
Publisher:Copernicus Publications
Keywords:urban emissions, total column measurement, remote sensing, carbon dioxide, methane
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:other
DLR - Research area:Raumfahrt
DLR - Program:R - no assignment
DLR - Research theme (Project):R - no assignment
Location: Oberpfaffenhofen
Institutes and Institutions:Institute of Atmospheric Physics > Atmospheric Trace Species
Deposited By: Marshall, Julia
Deposited On:06 Dec 2022 08:30
Last Modified:06 Dec 2022 08:30

Repository Staff Only: item control page

Help & Contact
electronic library is running on EPrints 3.3.12
Website and database design: Copyright © German Aerospace Center (DLR). All rights reserved.