Geoscientific Model Development
Geoscientific Model Development
Geoscientific Model Development
Articles | Volume 15, issue 11
Articles | Volume 15, issue 11
Geosci. Model Dev., 15, 4331–4354, 2022
https://doi.org/10.5194/gmd-15-4331-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue: Benchmark datasets and machine learning algorithms for Earth...

Geosci. Model Dev., 15, 4331–4354, 2022
https://doi.org/10.5194/gmd-15-4331-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 15, issue 11
Model description paper
03 Jun 2022
Model description paper | 03 Jun 2022

Global, high-resolution mapping of tropospheric ozone – explainable machine learning and impact of uncertainties

Clara Betancourt et al.

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Short summary
Ozone is a toxic greenhouse gas with high spatial variability. We present a machine-learning-based ozone-mapping workflow generating a transparent and reliable product. Going beyond standard mapping methods, this work combines explainable machine learning with uncertainty assessment to increase the integrity of the produced map.
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Special issue
Benchmark datasets and machine learning algorithms for Earth...