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Observing System Simulation Experiments at CIMSS

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Presentation on theme: "Observing System Simulation Experiments at CIMSS"— Presentation transcript:

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

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3 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

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10 UW-NMS Domain in the Eta 104 grid

11 “Nature” Calibration

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13 NMS Grid Locations with Cloud Mask

14 Surface RAOBS ACARS Profilers

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21 Sensitivity of RUC analysis to retrieval density

22 GEO-R versus GEO-I Retrieved T and Td

23 GEO-R versus GEO-I Retrieved T and Td

24 GEO-R versus GEO-I Retrieved T and Td

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

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

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

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

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

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

38 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

39 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

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

41 GOES Radiances Simulation Verification

42 Wind Tracking Verification

43 Wind Tracking Verification - Continued

44 Tracking Interferometer Radiances

45 Tracking Mixing Ratio from Model

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