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Observing System Simulation Experiments at CIMSS

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. Road Map.

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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. Road Map 1) Geostationary Interferometer Initial Focus Soundings (S) = T, Td Winds (W) Soundings plus Winds Soundings, Winds plus Conventional Data (CD) 2) First: Simulated Products; Followed by Derived Products from Simulated Radiances 3) Investigation of LIDAR Winds on top of S, W, and CD

  3. UW-NMS Domain in the Eta 104 grid

  4. OSSE Control (Nature) Verification

  5. OSSE Control (Nature) Verification

  6. OSSE Control (Nature) Verification

  7. 4. Assess The Impact The impact of the observations will be assessed by objectively measuring the ability of each observing system to steer the resulting 12-hour forecasts toward the “true” atmosphere. Observation count T/Td* WIND#Experiment None None No Observations (NO) = NO OBS ~5000 ~6000 Geo. Radiometer (GR) = GEO-R ~5000 ~6000 Geo. Interferometer (GI) = GEO-I ~6200 ~12000 Perfect Observations (PO) = OPTIMAL * : profile # : vector

  8. Wind Objectives 1) To assess the value of wind observations to operational mesoscale numerical weather forecasts in a controlled environment 2) To assess the incremental value of current and future geostationary infrared/visible, and LIDAR wind measurements

  9. Wind Profile OSSE Simulated Error for Clear Water Vapor Winds (m/s) Pressure (mb) GEO-R GEO-I* 200 N/A 4 300 6 4 400 5.5 3.5 500 5 3 700 N/A 2.5 * Projected 30-40 % improvement over Geo-R

  10. Wind Profile OSSE Simulated Error for Cloudy Water Vapor & IR Winds (m/s) Pressure (mb) GEO-R GEO-I* 200 5.5 3.6 300 5 3.3 400 4.5 2.9 500 4.5 2.9 700 4.0 2.6 850 3.5 2.3 * Projected 30-40 % improvement over Geo-R Cloud altitude defines wind level

  11. Winds OSSE Results

  12. Winds OSSE Results - Continued Winds OSSE results are preliminary

  13. Winds Versus Soundings

  14. Winds Versus Soundings - Continued

  15. Current Status 1) OSSE is designed, implemented, and pilot experiment conducted. 2) Winds counterpart, sounding profiles, are successfully assimilated and forecast impact assessed for a case study. 3) Winds assimilation is performed and is under detailed analysis now. 4) CIMSS OSSE home page: http://cimss.ssec.wisc.edu/model/osse/osse05.html

  16. Plans for the On-going Work 1) Simulate winds using radiances 2) 14 day test periods (winter and spring) 3) Conventional observing system evaluation 4) Low Earth Orbit (LEO) OSSE 5) Temperature/water vapor sounding and winds combined OSSE 6) LIDAR wind OSSE

  17. 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

  18. Hurricane Bonnie Wind and Cloud Fields Wind Vectors : Magenta Stream Lines : Green (@ 4 km) Clouds : Light gray - Ice Cloud Dark Gray - Water Cloud

  19. GOES Radiances Simulation Verification

  20. Wind Tracking Verification

  21. Wind Tracking Verification - Continued

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