Preprint “Global, high-resolution mapping of tropospheric ozone” available

The preprint of the article “Global, high-resolution mapping of tropospheric ozone – explainable machine learning and impact of uncertainties”  by Clara Betancourt et al. is now available at It has been accepted for public discussion by the Journal Geoscientific Model Development.
The paper presents a data-driven ozone mapping workflow generating a transparent and reliable product. The global distribution of tropospheric ozone from sparse, irregularly placed measurement stations is mapped to a high-resolution regular grid using machine learning methods.