Dust Forecast Improvement.pdf
acp-2021-442-manuscript-version3.pdf
Description
Assimilating spaceborne lidar dust extinction improves dust forecasts, reducing root mean square error in dust optical depth by 39% and dust extinction...
Technical Information
- File Format: PDF
- File Size: 3.66 MB
- Pages: 39
- Language: EN
- Total Downloads: 54
- Last Updated: 6 days ago
Document Overview
This PDF document about Dust Forecast Improvement provides comprehensive information and guidance. Whether you're a beginner or advanced user, this resource offers valuable insights into Dust Forecast Improvement.
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