Top-down lightning NO emissions over Africa based on TROPOMI data

Description

The top-down emissions are inferred from an inverse modelling scheme built on the chemistry-transport model MAGRITTEv1.1 and its adjoint (Müller et al., 2019; Bauwens et al., 2016; Müller and Stavrakou, 2005), constrained by TROPOMI NO2 (van Geffen et al., 2022) and HCHO (De Smedt et al., 2018) column data through a joint inversion.

This accounts for the intricate interplay between NOx and VOCs through the chemical feedbacks of the HOx-NOx-VOC system, by relying on a concomitant use of HCHO and NO2 satellite observations in order to simultaneously optimize both VOC and NOx emissions (Opacka et al., 2025).

Resources

Name Format Description Link
2019 global image of lightning NO on Africa PNG Open resource
Year 2019 NetCDF Open resource
2019 global image of lightning NO on Africa PNG Open resource
Year 2019 NetCDF Open resource

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