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Joint OSSE STAR OSSE Project Report Plan and Accomplishment

This report plan details the accomplishment of the joint OSSE project, focusing on developing critical CRTM components, radiance simulations, and validation for various instruments. Supported instruments include GOES-R ABI, Metop IASI, and more. The report highlights the successful simulations for GOES-R ABI Band 14 and the comparison between current GOES Imager and GOES-R ABI instruments. The use of CRTM for radiance simulations has been instrumental in enhancing collaboration and accelerating the utilization of new satellite data in operations.

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Joint OSSE STAR OSSE Project Report Plan and Accomplishment

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  1. Joint OSSESTAR OSSE Project ReportPlan and Accomplishment Fuzhong Weng (OSSE) and Tong Zhu (OSSE) Yong Han (CRTM), Mitch Goldberg (GOES_R series), Lidia Cucurull (GPS/RO) Joint OSSE review/coordination meeting December 17, 2009

  2. Objectives • Develop Critical CRTM components for OSSE • Radiance simulations for operational and future instruments • Validation of simulated radiances

  3. Focused Missions • GOES-R series instruments • Post-NPOESS era instruments • Joint program instruments (e.g. GPS/RO)

  4. Forward Model Requirements • Simulate radiances for all current instruments used in NWP • Simulate all planned instruments that will be used in NWP

  5. Community Radiative Transfer Model Supported Instruments • GOES-R ABI • Metop IASI • TIROS-N to NOAA-18 AVHRR • TIROS-N to NOAA-18 HIRS • GOES-8 to 13 Imager channels • GOES-8 to 13 sounder channel 08-13 • Terra/Aqua MODIS Channel 1-10 • METEOSAT-SG1 SEVIRI • Aqua AIRS • Aqua AMSR-E • Aqua AMSU-A • Aqua HSB • NOAA-15 to 18 AMSU-A • NOAA-15 to 17 AMSU-B • NOAA-18 MHS • TIROS-N to NOAA-14 MSU • DMSP F13 to15 SSM/I • DMSP F13,15 SSM/T1 • DMSP F14,15 SSM/T2 • DMSP F16 SSMIS • NPP ATMS • Coriolis Windsat • SSU “Technology transfer made possible by CRTM is a shining example for collaboration among the JCSDA Partners and other organizations, and has been instrumental in the JCSDA success in accelerating uses of new satellite data in operations” – Dr. Louis Uccellini, Director of National Centers for Environmental Prediction

  6. GOES-R ABI simulations GOES-R ABI Band 14 (11.2 m) • Use for future GOES-R instrument OSSEs • Use for GOES-R Algorithm tests (AWG) • Prepare user readiness of ABI

  7. Current GOES Imager vs. GOES-R ABI Current GOES Imager IR band has 4 km horizontal resolution (FOV), GOES Sounder has 10 km resolution. A full disk scan has total 10,080,910 observation points, and takes about 26-min. GOES-R ABI sensor will has 1km/2 km resolution. A full disk scan rate is as high as 5 minutes. GOES-R ABI vs. Current GOES

  8. OSSE Radiance Simulation Flow Chart Nature Run (ECMWF T511/T799) New instrument viewing geometry Current sensors viewing geometry DBL91 Atmospheric and Surface Dataset Radiance Simulations with CRTM Model Validation Convert to BUFR Format GSI Assimilation

  9. Simulation of GOES10/12 • GOES10 and GOES12 Sounders radiance data was simulated for the time period from May 2, 2005 to May 31, 2006 from ECMWF T511 NR Thin Dataset. • The simulated radiances were validated against observations. • Statistical analysis was performed to show data quality.

  10. NR_CRTM GOES-12 Sounder1200UTC 01 OCT, 2005

  11. Observed GOES-12 Sounder0230 UTC 01 OCT, 2005

  12. OBS vs. NR GOES-12 Sounder RMS and Mean Tb 28 SEP – 10 OCT 2005 Observed vs. simulated GOES-12 sounder for the mean Tb over North Atlantic Ocean region.Black lines are mean Tb from NR simulated, and the red lines are the mean Tb from observation. For window channels, like band 8 (11.03 µm), RMS is bigger because the surface temperature from ECMWF NR model has big difference as compared with that of observations

  13. NR GOES-12 Sounder full disk mean Tb over clear, cloudy and all sky conditions Time period for 28 SEP – 10 OCT 2005

  14. Simulation of AMSU-A/B • AMSU-A on NOAA15 and 16, AMSU-B on NOAA15, 16, and 17 radiances were simulated for the same 13 months. • 6-Hourly radiance data has been simulated, with the data coverage consistent with the operational GSI data ingest time. • Update the simulation by using NR output ice coverage data. • Angular dependences and channel correlations have been calculated. More validation study is necessary.

  15. Simulated AMSU-A NOAA15 with NR ICE1800 UTC 31 May 2005 With Climatology Ice With Nature Run Ice

  16. Comparison With Observation1800 UTC 31 May 2005 Observation Simulation with NR Ice

  17. AMSU-A TB channel relations at 1800 UTC May 31, 2005 Simulation: 3742 points Observation: 17094 points

  18. AMSU-A Angular Dependent Check NOAA-15 NR simulated angular dependent TB NOAA-15 Observed angular dependent TB

  19. Simulation of GOES-R ABI • ECMWF T799 Nature Run data is used to simulate GOES-R ABI data with CRTM model. • One week ABI radiance data from ECMWF Nature Run data have been simulated for October 1-7, 2005. • Hourly ABI data is simulated over CONUS region with 60-km resolution. ABI Ch9 Water Vapor band ABI Ch16 CO2 band

  20. Summary • CRTM is ready for GOES-R instruments • Thirteen months GOES-10/12 Sounder radiances have been simulated. By compared with observations, it is find that the bias of Tb is below 2 k, and RMS is below 3 K for each band. • Thirteen months AMSU-A/B data on NOAA-15,16 and 17 have been simulated, • One week GOES-R ABI brightness temperature data have been simulated,

  21. Plan • Refine the simulated radiances by using Nature Run surface vegetation cover and type, • Prepare more radiances for OSSE study, • Study GOES-R ABI impacts with GSI/GFS models • Specify the noise characteristics associated with each simulated data

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