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
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https://data.aeronomie.be/dataset/0ad2ca1e-ba0d-403c-8933-c473d4e18560 |
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https://data.aeronomie.be/dataset/0ad2ca1e-ba0d-403c-8933-c473d4e18560 |
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32 |
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https://data.aeronomie.be/dataset/0ad2ca1e-ba0d-403c-8933-c473d4e18560 |
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34 |
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https://data.aeronomie.be/dataset/0ad2ca1e-ba0d-403c-8933-c473d4e18560 |
Tags
- model-data
- tropomi
- air-quality
- observed-data
- top-down-inversion
- africa
- no2-nitrogen-dioxide