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Characterizing CCN Spectra to Investigate the Warm Rain Process by Subhashree Mishra

Characterizing CCN Spectra to Investigate the Warm Rain Process by Subhashree Mishra. Outline. An introduction to the warm rain process Theory of droplet nucleation Warm Rain Hypotheses Role of CCN in initiation of warm rain Measurement of CCN in the RICO project Data

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Characterizing CCN Spectra to Investigate the Warm Rain Process by Subhashree Mishra

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  1. Characterizing CCN Spectra to Investigate the Warm Rain ProcessbySubhashree Mishra

  2. Outline • An introduction to the warm rain process • Theory of droplet nucleation • Warm Rain Hypotheses • Role of CCN in initiation of warm rain • Measurement of CCN in the RICO project • Data • Results and Conclusions

  3. Warm Rain • Characterized by precipitation due to cumulus convection at temperatures > 0 ˚C • Occurs in clouds with sufficient liquid water and updraft lifetime to sustain collision–coalescence growth • Mostly produced in shallow convections over the tropics and the midlatitudes • Cumulus convection is limited by the inversion cap and hence extends no more than 4km

  4. Why Warm Rain? • Cumulus convection resulting in warm rain is one of the most prevalent cloud types in the planet • These clouds are ubiquitous over the tropical oceans • They play a vital role in estimating the global climate change and energy balance • The processes controlling their evolution and coverage are not yet well understood

  5. Comparative sizes, concentrations and terminal velocities of typical precipitation particles (from McDonald, 1958)

  6. Nucleation of droplets • Homogeneous nucleation -- highlyimprobable in natural clouds since it requires supersaturations≥400% • Heterogeneous nucleation -- On Insoluble particles (less likely because of large contact angles) -- On Soluble particles (most favorable for droplet nucleation)

  7. Heterogeneous Nucleation on Soluble Particles • Governed by -- Kelvin (curvature) effect -- Raoult (solution) effect Combining Kelvin and Raoult Effect gives the equation for obtaining Kohler curve as S = e's (r)/ es (∞) = 1+a/r- b/r3 Solution term Curvature term

  8. Kohler curve for Ammonium Sulfate (Rogers, R. R., and M.K. Yau, 1989, A Short Course in Cloud Physics) a ≈ 3.3 * 10-5 / T (cm) b ≈ 4.3 * i * M/ms (cm3) i = coefficient of ionic activity of the salt

  9. Warm Rain Hypotheses • The Giant Nuclei Hypothesis • Turbulence Induced Mechanisms -Entrainment -mixing (homogeneous and inhomogeneous) -Stochastic condensation -Entity mixing

  10. Measurement of CCN in RICO • CCN or Cloud Condensation Nuclei are essentially a subset of CN (condensation nuclei) • activated at low supersaturations, typical in natural clouds and are mostly water soluble • CCN measurements in RICO were done using the two DRI CCN spectrometers mounted on the C 130 • Use of two instruments ensured -- redundancy in data -- expanded the supersaturation (S) range -- enabled in flight calibrations and -- optimized measurements by providing operation over different S ranges

  11. Instrumentation for CCN Measurement On the C-130

  12. Adjustment of the DRI CCN spectrometer inlet tip (from David C. Rogers, NCAR)

  13. RICO Air Mass(generated by using the NOAA HYSPLIT model trajectories)

  14. Mean RICO sounding Source: Rauber et al, 2006, In the Driver’s Seat – RICO and Education. (In preparation for Bull. Amer. Soc. Meteor. )

  15. Comparison of CCN Measurements made by the two DRI CCN Spectrometers

  16. Total particle (CN) and cumulative CCN concentrations during a sounding

  17. Vertical soundings of CCN at various S versus CN concentration during the AIRS2 project on November 24th, 2003

  18. Figure 3: Sizes of CCN measured in RICO. Also plotted is the theoretical versus critical supersaturation (Sc) relationship

  19. Cloud adiabaticity versus droplet concentration r2 = 0.97 r2 = 0.88

  20. Table 2: Effective Supersaturations determined from adiabatic droplet concentrations (Na)

  21. Table 3: Effective supersaturations estimated by taking values corresponding to the mean, maximum and minimum droplet concentrations obtained for Lc/La in the range of 0.9 to 1.1.

  22. Results and Conclusions • High standard deviations in particle concentrations implied significant day-to-day variability in concentrations • Variability in particle concentrations at higher altitudes (~600mb) suggested long-range transport of continental aerosol • Shift in vertical CCN distribution at approximately the cloud layer suggested cloud processing of aerosols • Decrease in number of small CCN below clouds may be due to coagulation that results in increased concentration of large CCN • High concentrations of large CCN at low altitudes may also be a result of sea spray

  23. Volatility measurements suggested that most particles in RICO were highly soluble like NaCl or Ammonium Sulphate • Size supersaturation measurements combined with volatility measurements suggested that most CCN in the boundary layer were more consistent with sulfate than NaCl • Effective supersaturations in these clouds were as high as 1.6 % • Inhomogeneous mixing seemed to be more common in these clouds although the presence of homogeneous mixing cannot be ruled out • All the above factors combined together support the formation of large droplets that can enhance gravitational collection process and hence explain warm rain initiation

  24. Thank you !! Questions ?

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