Quantification of SO<sub>2</sub> Emission Variations and the Corresponding Prediction Improvements Made by Assimilating Ground-Based Observations
In this research, a new time-resolved emission inversion system was developed to investigate variations in SO<sub>2</sub> emission in China during the COVID-19 (Corona Virus Disease 2019) lockdown period based on a four-dimensional variational (4DVar) inversion method to dynamically opti...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-03-01
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| Series: | Atmosphere |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2073-4433/13/3/470 |