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Analysis of total column CO₂ and CH₄ measurements in Berlin with WRF-GHG

Zhao, Xinxu; Marshall, Julia; Hachinger, Stephan; Gerbig, Christoph; Frey, Matthias; Hase, Frank; Chen, Jia

Abstract:
Though they cover less than 3 % of the global land area, urban areas are responsible for over 70 % of the global greenhouse gas (GHG) emissions and contain 55 % of the global population. A quantitative tracking of GHG emissions in urban areas is therefore of great importance, with the aim of accurately assessing the amount of emissions and identifying the emission sources. The Weather Research and Forecasting model (WRF) coupled with GHG modules (WRF-GHG) developed for mesoscale atmospheric GHG transport can predict column-averaged abundances of CO2 and CH4 (XCO2 and XCH4). In this study, we use WRF-GHG to model the Berlin area at a high spatial resolution of 1 km. The simulated wind and concentration fields were compared with the measurements from a campaign performed around Berlin in 2014 (Hase et al., 2015). The measured and simulated wind fields mostly demonstrate good agreement. The simulated XCO2 shows quite similar trends with the measurement but with approximately 1 ppm bias, while a bias in the simulated XCH4 of around 2.7 % is found. The bias could potentially be the result of relatively high background concentrations, the errors at the tropopause height, etc. ... mehr

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Verlagsausgabe §
DOI: 10.5445/IR/1000098379
Veröffentlicht am 20.09.2019
Coverbild
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung - Atmosphärische Spurenstoffe und Fernerkundung (IMK-ASF)
Publikationstyp Zeitschriftenaufsatz
Jahr 2019
Sprache Englisch
Identifikator ISSN: 1680-7324
KITopen-ID: 1000098379
Erschienen in Atmospheric chemistry and physics
Band 19
Heft 17
Seiten 11279–11302
Vorab online veröffentlicht am 06.09.2019
Nachgewiesen in Web of Science
Scopus
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