Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 16, issue 4
Articles | Volume 16, issue 4
https://doi.org/10.5194/gmd-16-1427-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-16-1427-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 16, issue 4
Model description paper
 | 
02 Mar 2023
Model description paper |  | 02 Mar 2023

Yeti 1.0: a generalized framework for constructing bottom-up emission inventories from traffic sources at road-link resolutions

Edward C. Chan, Joana Leitão, Andreas Kerschbaumer, and Timothy M. Butler

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Short summary
Yeti is a Handbook Emission Factors for Road Transport-based traffic emission inventory written in the Python 3 scripting language, which adopts a generalized treatment for activity data using traffic information of varying levels of detail introduced in a systematic and consistent manner, with the ability to maximize reusability. Thus, Yeti has been conceived and implemented with a high degree of data and process symmetry, allowing scalable and flexible execution while affording ease of use.
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