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Processing Infrared Sounders for Atmospheric Visualizations

David Chapman Milt Halem. Processing Infrared Sounders for Atmospheric Visualizations. Aqua satellite monitors Infrared since 2002 - AIRS 2378 frequencies 14 KM spatial resolution - MODIS 16 frequencies 1KM spatial resolution. Infrared Satellite Processing Systems.

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Processing Infrared Sounders for Atmospheric Visualizations

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  1. David Chapman Milt Halem Processing Infrared Sounders for Atmospheric Visualizations

  2. Aqua satellite monitors Infrared since 2002 - AIRS 2378 frequencies 14 KM spatial resolution - MODIS 16 frequencies 1KM spatial resolution Infrared Satellite Processing Systems

  3. Geo-reprojection Collection to Visualization Approach Hurricane Visualization Raw Observations Animated Climate Visualization

  4. Gridding Convert Observations from orbital projection to a lat/lon grid

  5. Observations over a 2D area Spatial Response Function describes sensitivity distribution Observation Coverage Model

  6. Obscov Model Given an observation Determine Coverage • How does observation split into grid cells • Integral of Spatial Response Function over grid cell area.

  7. Effect on Hurricanes Observation Coverage model produces precise grids, and corrects needless artifacts • Removes Stippling at high resolutions

  8. Obscov Mesh Refinement

  9. Obscov Mesh Refinement

  10. Obscov Mesh Refinement

  11. Obscov Mesh Refinement

  12. Obscov Mesh Refinement

  13. Obscov Mesh Refinement

  14. Obscov Method Polygon integral base case

  15. Conclusion Developed Obscov Algorithm Processed 5KM AIRS and MODIS Datasets over Hurricane Bill, and distributed to FAU

  16. Thank You

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