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Document type:
Forschungsdaten
Publication date:
29.11.2022
Responsible:
Dietrich, Florian
Authors:
Dietrich, Florian; Chen, Jia; Shekhar, Ankit; Lober, Sebastian; Krämer, Konstantin; Leggett, Graham; van der Veen, Carina; Velzeboer, Ilona; Denier van der Gon, Hugo; Röckmann, Thomas
Author affiliation:
TUM
Publisher:
TUM
Title:
Datasets and modeling software as part of our study titled "Climate impact comparison of electric and gas-powered end-user appliances"
Identifier:
doi:10.14459/2022mp1663551
End date of data production:
01.07.2022
Subject area:
ELT Elektrotechnik; GEO Geowissenschaften; UMW Umweltwissenschaften
Resource type:
Experimente und Beobachtungen / experiments and observations; Simulationen / simulations; Statistik und Referenzdaten / statistics and reference data
Data type:
Tabellen / tables; Programme und Anwendungen / software and applications
Description:
With this repository, we provide all measurement data and software scripts used for our study entitled "Climate impact comparison of electric and gas-powered end-user appliances". The measurement data consist of CH4 measurements made with a LI-7810 CH4/CO2/H2O mobile trace gas analyzer, ethane-to-methane ratios determined with a Quantum Cascade Laser (QCL) absorption spectrometer model QCL-TILDAS-76 from Aerodyne Research Inc, and gas isotopic composition determined with an isotope ratio mass sp...     »
Method of data assessment:
The data were collected at Oktoberfest 2019. We used a mobile trace gas analyzer for CH4 measurements on and around the Oktoberfest premises. We also collected air samples at various locations at Oktoberfest using sampling bags to analyze the isotopic composition and ethane-to-methane ratio later in the laboratory.
Links:
This dataset relates to the publication: https://doi.org/10.1029/2022EF002877
Key words:
climate change, methane, carbon dioxide, emissions, carbon mitigation, global
Technical remarks:
View and download (8,41 MB total, 17 Files)
The data server also offers downloads with FTP
The data server also offers downloads with rsync (password m1663551):
rsync rsync://m1663551@dataserv.ub.tum.de/m1663551/
Language:
en
Rights:
by, http://creativecommons.org/licenses/by/4.0
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