SSAT: Sensor-Satellite Auto-Correlation Transformer for Enhanced Aerosol Optical Depth Prediction
Satellite-derived aerosol optical depth (AOD) observations are highly valuable to describe the horizontal distribution of aerosols, but are hampered by spatial data gaps and limited temporal coverage (typically once a day). The synergism of these measurements with chemistry-transport models (CTM) ma...
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| Main Authors: | Maoquan Zhang, Bisser Raytchev, Juan Cuesta, Farouk Lemmouchi, Maithili Karle, Daniel Andrade |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11091309/ |
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