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Observing System Simulation Experiments at CIMSS PowerPoint Presentation
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Observing System Simulation Experiments at CIMSS
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  1. Observing System Simulation Experiments at CIMSS By CIMSS/OSSE Team : Bob Aune ; Paul Menzel ; Jonathan Thom Gail Bayler ; Chris Velden ; Tim Olander and Allen Huang Cooperative Institute for Meteorological Satellite Studies University of Wisconsin 7 June, 1999

  2. Current Research Plan Initial Impact Study: Geostationary Interferometer Simulated Products from “Nature” Atmosphere: Soundings (T, Td) Winds (Cloud drift / Water Vapor) Soundings plus Winds Soundings, Winds, Conventional Data Radiances Derived Products from Simulated Radiances Retrievals (T, Td, derived products) Winds (automated wind algorithm) Direct radiance assimilation

  3. UW-NMS Domain in the Eta 104 grid

  4. “Nature” Calibration

  5. NMS Grid Locations with Cloud Mask

  6. Surface RAOBS ACARS Profilers

  7. Sensitivity of RUC analysis to retrieval density

  8. GEO-R versus GEO-I Retrieved T and Td

  9. GEO-R versus GEO-I Retrieved T and Td

  10. GEO-R versus GEO-I Retrieved T and Td

  11. GEO-R versus GEO-I Retrieved T and Td Sat Winds Conventional

  12. GEO-R versus GEO-I Retrieved T and Td Sat Winds Conventional

  13. GEO-R versus GEO-I Retrieved T and Td Sat Winds Conventional

  14. GEO-R versus GEO-I Retrieved T and Td Sat Winds Conventional

  15. GEO-R versus GEO-I Retrieved T and Td Sat Winds Conventional

  16. GEO-R versus GEO-I Retrieved T and Td Sat Winds Conventional

  17. Plans for the Future * Simulate winds from radiances * Assimilate retrievals from radiances * Assimilate radiances with 3DVar * 14 day test periods (winter and spring) * Resolve boundary condition issues * Low Earth Orbit (LEO) OSSE * Test other observing systems

  18. Wind Experiment Using Simulated Radiances 1) Simulate radiances from GOES and from a geostationary interferometer using forward radiative transfer. 2) Put simulated radiances into the automated wind algorithm and generate cloud drift and water vapor winds

  19. Hurricane Bonnie Wind and Cloud Fields Wind Vectors : Red - 1 km level Green - 14 km level Clouds : Light gray - Ice Cloud Dark Gray - Water Cloud

  20. GOES Radiances Simulation Verification

  21. Wind Tracking Verification

  22. Wind Tracking Verification - Continued

  23. Tracking Interferometer Radiances

  24. Tracking Mixing Ratio from Model