Articles | Volume 21, issue 16
https://doi.org/10.5194/bg-21-3641-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-21-3641-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Technical note: A Bayesian mixing model to unravel isotopic data and quantify trace gas production and consumption pathways for time series data – Time-resolved FRactionation And Mixing Evaluation (TimeFRAME)
Swiss Data Science Center, ETH Zürich and EPFL, Lausanne, Switzerland
now at: Climate and Environmental Physics, Physics Institute, University of Bern, Sidlerstrasse 5, 3012 Bern, Switzerland
Philipp Fischer
Swiss Data Science Center, ETH Zürich and EPFL, Lausanne, Switzerland
now at: BSI Business Systems Integration AG, 5405 Baden, Switzerland
Maciej P. Lewicki
Institute of Nuclear Physics, Polish Academy of Sciences, Kraków, Poland
Dominika Lewicka-Szczebak
Institute of Geological Sciences, University of Wrocław, Wrocław, Poland
Stephen J. Harris
Australian Nuclear Science and Technology Organisation, Lucas Heights, NSW, 2234, Australia
School of Biological, Earth and Environmental Sciences, UNSW Sydney, Sydney, NSW, 2052, Australia
Fernando Perez-Cruz
Swiss Data Science Center, ETH Zürich and EPFL, Lausanne, Switzerland
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Short summary
Greenhouse gases are produced and consumed via a number of pathways. Quantifying these pathways helps reduce the climate and environmental footprint of anthropogenic activities. The contribution of the pathways can be estimated from the isotopic composition, which acts as a fingerprint for these pathways. We have developed the Time-resolved FRactionation And Mixing Evaluation (TimeFRAME) model to simplify interpretation and estimate the contribution of different pathways and their uncertainty.
Greenhouse gases are produced and consumed via a number of pathways. Quantifying these pathways...
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