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Data Assimilation Using HRRRAK: Insights from AQUA Satellite and Case Studies

This study focuses on enhancing numerical weather prediction through data assimilation with the High-Resolution Rapid Refresh Analysis Kit (HRRRAK). It utilizes 1050x1050x51 grid points at a 3 km resolution, initialized by Rapid Refresh with lateral boundary conditions from the NAM12 project. The research emphasizes the impact of AQUA satellite data, particularly from AIRS, and compares GDAS and NDAS datasets across two case studies (August 20, 2011 - high wind event; March 6, 2012 - snow event). It highlights limitations and suggests future work using GSI in HRRRAK runs.

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Data Assimilation Using HRRRAK: Insights from AQUA Satellite and Case Studies

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  1. Data Assimilation with the HRRRAK Kayla Harrison, Don Morton, Brad Zavodsky, Shih-Hung Chou

  2. Don Morton’s HRRRAK • 1050x1050x51 grid points • 3 km resolution • Initialized by RR • Lateral boundary conditions from NAM12

  3. Project simulations • Use HRRRAK domain • Use HRRRAK input and boundary conditions files • Ran WRF simulations without hourly updates

  4. Data Assimilation • Update wrfinput_d01 and wrfbdy_d01 files with GSI • Focus on AQUA satellite data • Atmospheric Infrared Sounder (AIRS) • Comparing prepbufr files: GDAS, NDAS, AIRS profiles, AIRS radiances

  5. Expected Limitations • GDAS vs. NDAS • Part of GDAS dataset not interpolated • AIRS profiles vs. radiances • SPoRT found better precipfrom profiles • Elevation errors in AIRS data • Considered pressure levels • AIRS works best over open ocean on calm days

  6. Case Studies • Case study #1: • August 20, 2011 • High wind event in southeast, AK • Case study #2: • March 6, 2012 • Snow in central, AK

  7. Case 1: Temp at first model level Control GDAS GDAS+profiles GDAS+radiance NDAS

  8. Case 1: QVAPOR at 850 mb Control GDAS GDAS+profiles GDAS+radiance NDAS

  9. Control: Case 1, Fairbanks Skew T

  10. GDAS: Case 1, Fairbanks Skew T

  11. GDAS: Case 1, Fairbanks Skew T

  12. NDAS: Case 1, Fairbanks Skew T

  13. AIRS profiles: Case 1, Fairbanks Skew T

  14. AIRS radiances: Case 1, Fairbanks Skew T

  15. Case Studies • Case study #1: • August 20, 2011 • High wind event in southeast, AK • Case study #2: • March 6, 2012 • Snow in central, AK

  16. Case 2: Temp at first model level Control GDAS GDAS+profiles GDAS+radiance NDAS

  17. Case 2: QVAPOR at 850 mb Control GDAS GDAS+profiles GDAS+radiance NDAS

  18. Control: Case 2, Fairbanks Skew T

  19. GDAS: Case 2, Fairbanks Skew T

  20. NDAS: Case 2, Fairbanks Skew T

  21. AIRS profiles: Case 2, Fairbanks Skew T

  22. AIRS radiances: Case 2, Fairbanks Skew T

  23. Summary • GDAS and NDAS are very similar • AIRS Profiles predict less moisture and lower temperatures • Prepbufrchoice has smaller influence on wind speed and direction than initially expected • From these case studies: GDAS, NDAS, and GDAS+radiances are best

  24. Future Work • Using GSI in HRRRAK runs

  25. Acknowledgements Don Morton Brad Zadovsky Shih Chou OraleeNudson Greg Newby

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