https://alex-matus.github.io/tags/spaceborne-lidar/Spaceborne LidarHugoBlox Kit (https://hugoblox.com)en-usThu, 01 May 2025 00:00:00 +0000https://alex-matus.github.io/media/icon_hu_da05098ef60dc2e7.pnghttps://alex-matus.github.io/tags/spaceborne-lidar/https://alex-matus.github.io/publications/preprint/Thu, 01 May 2025 00:00:00 +0000https://alex-matus.github.io/publications/preprint/<p>This work introduces a pioneering data-fusion strategy that bridges the gap between columnar satellite observations and ground-level exposure by incorporating vertical profiles from spaceborne lidar.</p> <h3 id="key-methodology-updates">Key Methodology Updates</h3> <ul> <li><strong>1-D EnsVar Technique:</strong> An ensemble-based variational retrieval workflow that optimizes speciated mass data from the GEOS model utilizing real-time 1064-nm lidar backscatter.</li> <li><strong>Vertical Profiling:</strong> Overcomes traditional column-integrated limits by resolving complex aerosol layering systems that decouple standard satellite AOD signals from surface levels.</li> <li><strong>Forecast Integration:</strong> Showcases near real-time processing capabilities critical for global air quality models and public health alerts.</li> </ul>