Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 19, issue 8
Articles | Volume 19, issue 8
https://doi.org/10.5194/gmd-19-3551-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-19-3551-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 19, issue 8
Model description paper
 | 
30 Apr 2026
Model description paper |  | 30 Apr 2026

The DLR CO2-equivalent estimator FlightClim v1.0: an easy-to-use estimation of per flight CO2 and non-CO2 climate effects

Hannes Bruder, Robin N. Thor, Malte Niklaß, Katrin Dahlmann, Roland Eichinger, Florian Linke, Volker Grewe, Sigrun Matthes, and Simon Unterstrasser

Supplement

https://doi.org/10.5194/gmd-19-3551-2026-supplement

Data sets

Code used in "The DLR CO2-equivalent estimator FlightClim v1.0: an easy-to-use estimation of per flight CO2 and non-CO2 climate effects" (Bruder et al., GMD, 2025) Hannes Bruder et al. https://doi.org/10.5281/zenodo.17184041

Model code and software

Code used in "The DLR CO2-equivalent estimator FlightClim v1.0: an easy-to-use estimation of per flight CO2 and non-CO2 climate effects" (Bruder et al., GMD, 2025) Hannes Bruder et al. https://doi.org/10.5281/zenodo.17184041

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Short summary
We develop an easy-to-use tool to estimate the per-flight climate effect of CO2 and non-CO2 emissions, based only on aircraft size as well as origin and destination airports. The implemented model results from a comparison of Multiple and Symbolic Regression approaches and exhibits a mean relative error of 21 % with respect to climate response model results. The simplified method is designed for climate footprint assessment and covers jet-powered passenger aircraft with over 20 seats.
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