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Development of a 3D cloud model with detailed warm and cold microphysics

Development of a 3D cloud model with detailed warm and cold microphysics. DESCAM (DEtailed SCAvenging Model). Flossmann and Pruppacher (1985) … Leroy et al. (2008).

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Development of a 3D cloud model with detailed warm and cold microphysics

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  1. Development of a 3D cloud model with detailed warm and cold microphysics DESCAM (DEtailed SCAvenging Model) Flossmann and Pruppacher (1985) … Leroy et al. (2008) • Warm microphysical processes : aerosol particle growth and activation, droplet de-activation, growth of drops by condensation and collision-coalescence • Cold microphysical processes : homogeneous and heterogeneous nucleation, growth by vapor deposition, riming and melting, (splintering and wet growth) • 5 particles distributions: fAP : wet aerosol particle number fd : drop number fi : ice crystal number gAP,d : aerosol mass inside drops gAP,i : aerosol mass inside ice crystals

  2. 3D Development of a 3D cloud model with detailed warm and cold microphysics DESCAM-3D Coupling between dynamical and microphysical models: Dynamical model • Clark (1977) … Clark et al. (2004) • - non hydrostatic, anelastic • solves the equations for u, v, w, θ, P, ρ and qv • transports the microphysical variables fAP, fd, gAP,d, fi et gAP,i. T and qv fAP, fd, gAP,d, fi and gAP,i Flossmann and Pruppacher (1985) … Leroy et al. (2008) Microphysical model • - Warm and cold microphysical processes • 5 distributions: fAP : wet aerosol particle number • fd : drop number • fi : ice crystal number • gAP,d : aerosol mass inside drops • gAP,i : aerosol mass inside ice crystals Total : 5 distributions x 39 bins = 195 microphysical variables per grid point Computation time:~200 times more expensive than the model with bulk microphysics DESCAM-3D = research model

  3. Development of a 3D cloud model with detailed warm and cold microphysics SENSITIVITY STUDIES ON THE AEROSOL PARTICLE SPECTRUM CRYSTAL-FACE case: microphysical cloud properties Clean boundary layer: NAP≈ 400 cm-3 Cloud drops : 0.01 g m-3 Raindrops : 1 g m-3 Ice crystals : 0.01 g m-3 Polluted boundary layer: NAP ≈ 6500 cm-3 Cloud drops : 0.01 g m-3 Raindrops : 0.03 g m-3 Ice crystals : 0.01 g m-3

  4. CRYSTAL FACE : microphysics and dynamics

  5. The role of aerosol particles on precipitation and ice phase processes: observation versus 3D simulations CONTRIBUTION OF THE ICE PHASE TO PRECIPITATION FORMATION Profiles of drop and ice crystal mass spectra in the vertical column of ALES melting coalescence A great quantity of raindrops are formed via mixed phase processes

  6. Development of a 3D cloud model with detailed warm and cold microphysics SENSITIVITY STUDIES ON THE AEROSOL PARTICLE SPECTRUM CRYSTAL-FACE case: microphysical cloud properties Clean boundary layer: NAP≈ 400 cm-3 Cloud drops : 0.01 g m-3 Raindrops : 1 g m-3 Ice crystals : 0.01 g m-3 Polluted boundary layer: NAP ≈ 6500 cm-3 Cloud drops : 0.01 g m-3 Raindrops : 0.03 g m-3 Ice crystals : 0.01 g m-3

  7. The role of aerosol particles on precipitation and ice phase processes: observation versus 3D simulations MODEL VALIDATION DESCAM 3D: a 3D cloud model with detailed microphysics Example: a cumulonimbus cloud (CRYSTAL-FACE, Heymsfield et al., 2005) Comparison with airborne measurements at 10 km height: diameters > 60 µm diameters < 60 µm FSSP 2D-C Very good agreement for the ice and water microphysics

  8. The role of aerosol particles on precipitation and ice phase processes: observation versus 3D simulations MODEL RESULTS COMPARED TO OBSERVATIONS Comparison with the disdrometer measurements at ALES Rain accumulation Rain drop spectra t2 dM (g m-3) t1 t1 t2 diameter (µm) • good agreement between the model results and the disdrometer measurements • simulated and observed raindrop spectra are also coherent

  9. AMMA 9/10 September 2006 data available: Rasta observation + 2DC and 2DP cloud droplet / ice spectra 10/09/2006 - 07TU over 300 x 200 km2 several convective cells 10/09/2006 - 09TU 10/09/2006 - 08TU

  10. AMMA 9/10 September 2006 RASTA observations

  11. AMMA 9/10 September 2006 2DC and 2DP at ~ 7.7 km at ~ 9.5 km

  12. AMMA 9/10 September 2006 modeling with DESCAM-3D 1100 km Initialization : 17h sounding 9 Sept. at Niamey MeteoSat

  13. AMMA 9/10 September 2006 modeling with DESCAM-3D after 6 h integration : total ice and total liquid water

  14. AMMA 9/10 September 2006 modeling with DESCAM-3D total liquid water : cloud + rain

  15. AMMA 9/10 September 2006 modeling with DESCAM-3D total ice (all bins from 1.1 µm - 13 mm)

  16. AMMA 9/10 September 2006 modeling with DESCAM-3D

  17. AMMA 9/10 September 2006 modeling with DESCAM-3D

  18. AMMA 9/10 September 2006 modeling with DESCAM-3D

  19. AMMA 9/10 September 2006 modeling with DESCAM-3D

  20. AMMA 9/10 September 2006 modeling with DESCAM-3D

  21. AMMA 9/10 September 2006 modeling with DESCAM-3D

  22. AMMA 9/10 September 2006 modeling with DESCAM-3D

  23. AMMA 9/10 September 2006 modeling the Rasta reflectivity Rastaobservations

  24. AMMA 9/10 September 2006 modeling the attenuated reflectivity Rastaobservations

  25. AMMA 9/10 September 2006 modeling the attenuated reflectivity Rastaobservations

  26. AMMA 9/10 September 2006 modeling with DESCAM-3D

  27. AMMA 9/10 September 2006 modeling with DESCAM-3D

  28. AMMA 9/10 September 2006 modeling with DESCAM-3D

  29. AMMA 9/10 September 2006 observation vs. modeling model

  30. AMMA 9/10 September 2006 modeling with DESCAM-3D area A Bat 9 km

  31. AMMA 9/10 September 2006 modeling with DESCAM-3D Cirrus area A Mixed phase area B

  32. AMMA 9/10 September 2006 modeling with DESCAM-3D

  33. AMMA 9/10 September 2006 modeling with DESCAM-3D

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