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Warm Rain Formation by Ultragiant Particles & Cumulus Entrainment

Warm Rain Formation by Ultragiant Particles & Cumulus Entrainment. Sonia Lasher-Trapp Purdue University In collaboration with Alan Blyth, Univ. of Leeds. Movie courtesy of D. Ebert’s Visualization Group, Purdue University.

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Warm Rain Formation by Ultragiant Particles & Cumulus Entrainment

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  1. Warm Rain Formationby Ultragiant Particles & Cumulus Entrainment Sonia Lasher-Trapp Purdue University In collaboration with Alan Blyth, Univ. of Leeds Movie courtesy of D. Ebert’s Visualization Group, Purdue University

  2. RICO Interests: Determine Importance of These Mechanisms to Warm Rain Formation • Ultragiant particles • build on past studies by acquiring better obs of UGP size distributions and spatial and temporal variability • Large-drop formation by entrainment and mixing • extend our model calculations through coalescence • increase our understanding of cumulus entrainment

  3. Method and Ultimate Goal • Use high-resolution 3D cloud simulations, with detailed microphysics run along trajectories through modeled 3D fields (as in Lasher-Trapp et al. 2001, 2004) • Use RICO observations to • (a) constrain model calculations • (b) evaluate realism of model results • Evaluate importance of UGP versus large drop formation by entrain. & mixing

  4. Increasingly Inhomogeneous Mixing IH=0. <d>, s= 18.4, 6.6 mm IH=0.05 <d>, s= 17.6, 5.9 mm IH=0.1 <d>, s= 17.7, 6.1 mm Little difference in distrib. widths by changing character of mixing IH=0.2 <d>, s= 17.3, 6.5 mm IH=1.0 <d>, s= 16.7, 6.3 mm IH=0.5 <d>, s= 16.6, 6.4 mm Droplets originating at CB Big difference in location of modes and max droplet size by changing character of mixing

  5. RICO Observations Needed • UGA particle sizes and concentrations, including day-to-day variations • CCN and variability with height • Penetrations at same altitude through multiple clouds at multiple stages (statistical variab. on a given day) • Drop size distributions • Liquid water content • Cloud motions • Radar data • Atmospheric wind and thermodynamic profile, and changes during the day

  6. Desired Radar/AC Sampling Strategy • Daily Characterization of CCN and UGP • Radar operating in PPI mode, over large sector • Aircraft operating in same sector at different altitudes, penetrating same clouds but no necessarily trying to target only one cloud

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