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Titel:

Datasets and modeling software as part of our study titled "Climate impact comparison of electric and gas-powered end-user appliances"

Dokumenttyp:
Forschungsdaten
Veröffentlichungsdatum:
29.11.2022
Verantwortlich:
Dietrich, Florian
Autorinnen / Autoren:
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
Institutionszugehörigkeit:
TUM
Herausgeber:
TUM
Identifikator:
doi:10.14459/2022mp1663551
Enddatum der Datenerzeugung:
01.07.2022
Fachgebiet:
ELT Elektrotechnik; GEO Geowissenschaften; UMW Umweltwissenschaften
Quellen der Daten:
Experimente und Beobachtungen / experiments and observations; Simulationen / simulations; Statistik und Referenzdaten / statistics and reference data
Datentyp:
Tabellen / tables; Programme und Anwendungen / software and applications
Methode der Datenerhebung:
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.
Beschreibung:
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...     »
Links:
This dataset relates to the publication: https://doi.org/10.1029/2022EF002877
Schlagworte:
climate change, methane, carbon dioxide, emissions, carbon mitigation, global
Technische Hinweise:
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/
Sprache:
en
Rechte:
by, http://creativecommons.org/licenses/by/4.0
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