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Atmospheric Environment Characterization in Support of the ESA ExoMars Mission

Atmospheric Environment Characterization in Support of the ESA ExoMars Mission Intercomparison LMD – SwRI models. T. Bertrand, S. Rafkin , F. Forget, A. Spiga , E. Millour. Project status. November – start

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Atmospheric Environment Characterization in Support of the ESA ExoMars Mission

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  1. Atmospheric Environment Characterization in Support of the ESA ExoMars Mission • Intercomparison LMD – SwRI models T. Bertrand, S. Rafkin, F. Forget, A. Spiga, E. Millour

  2. Project status • November– start • Phase 1 : LMD built1D version for SWRI for radiative transfersynchronisation • LMD sent referenceprofiles • December • First SWRI profiles received • Solvingreference time issues (bug, LTST vs LMST, UT versus LT) • Investigation on surface temperaturedisagreement • Problemof shortwaveflow • LMD founda bug in SWRI latitude • Tuningthe right options in both model (philosophy: LMD fit SWRI)

  3. Project status • January • Comparison of 1D reference profiles with dust opacities at 0.2, 1, 5 • LMD tries to match SWRI dust radiative effects and radiative models by tuning: • Dust opacity • Dust visible single scaterring albedo ("brightness of the dust") • Dust thermal infrared opacity vs visible opacity

  4. Radiative transfer setting – 1D configuration • 1D Run parameters – 6 cases: • Comparison LMD – SwRI without tunning • Comparison LMD – SwRIwith tunning of dust properties • Note : the radiative transfer model used by SWRI (NASA Ames) is known to underestimate dust heating rates. They partly compensate that by using "dark" dust radiative properties.

  5. Comparison LMD – SwRIwithouttunning • Surface flux SW

  6. Comparison LMD – SwRIwithouttunning • Surface flux LW

  7. Comparison LMD – SwRIwithouttunning • Surface temperature

  8. Comparison LMD – SwRIwithouttunning • Temperature profiles

  9. Comparison LMD – SwRIwithouttunning • Temperature profiles

  10. Comparison LMD – SwRIwithouttunning • Temperature profiles

  11. Comparison LMD – SwRIwithouttunning • Temperature profiles

  12. Comparison LMD – SwRIwithouttunning • Temperature profiles

  13. Comparison LMD – SwRIwithouttunning • Temperature profiles

  14. Sensibility to dustopacity • Temperature profiles

  15. Sensibility to dustopacity • Temperature profiles

  16. Sensibility to dustopacity • Temperature profiles

  17. Sensibility to dustbrightness • Temperature profiles

  18. Sensibility to dustbrightness • Temperature profiles

  19. Sensibility to dustbrightness • Temperature profiles

  20. Sensibility to ratio dust thermal IR vs VIS opacity • Temperature profiles

  21. Fitting C1 case with the threeparameters • Temperature profiles

  22. BEST FITS – Case A1 • Temperature profiles

  23. BEST FITS – Case A1 • Surface temperature

  24. BEST FITS – Case B1 • Temperature profiles

  25. BEST FITS – Case B1 • Surface temperature

  26. BEST FITS – Case C1 • Temperature profiles

  27. BEST FITS – Case C1 • Surface temperature

  28. / • Many plots available on: http://www.lmd.jussieu.fr/~tblmd/Intercomparison/1D_plots

  29. Conclusion • 1D comparisons are globally ok • Turbulent diffusion scheme in the boundary layer: fundamentalmodel differencesthatshouldbekept in the intercomparison ? • Green light has been given to SwRI to start running GCM, Mesoscaleand LES models.

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