Neural representation of the stratospheric ozone chemistry
Helge Mohn,
Daniel Kreyling,
Ingo Wohltmann
et al.
Abstract:In climate modeling, the stratospheric ozone layer is typically only considered in a highly simplified form due to computational constraints. For climate projections, it would be of advantage to include the mutual interactions between stratospheric ozone, temperature, and atmospheric dynamics to accurately represent radiative forcing. The overarching goal of our research is to replace the ozone layer in climate models with a machine-learned neural representation of the stratospheric ozone chemistry that allows… Show more
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