Cloud‐resolving simulations of intense tropical Hector thunderstorms: Implications for aerosol–cloud interactions

SUMMARY The Hector thunderstorm is studied with a numerical cloud-resolving model. Special attention is given to modelling the mixed-phase and glaciated cloud microphysical processes (along with the implications of aerosols) and their influence on the resulting microphysical and dynamical storm structure. Radiative impacts are also calculated. Simulations are performed for a typical storm case from the EMERALD-II convective cloud experiment in November and December 2002. It is found that, for intense thunderstorms, aerosol indirect effects are generally modified from recently proposed theoretical considerations. Specifically, the proposed ‘glaciation’ indirect effect, resulting from increasing ice nuclei concentrations, is small for intense convection. More importantly, increasing ice number concentrations results in a ‘collection’ indirect effect (where aggregation and accretion processes lead to precipitation) rather than the ‘glaciation’, Bergeron–Findeisen process. There is a ‘thermodynamic’ indirect effect for Hector, as increasing the cloud droplet number concentration from maritime to continental values resulted in a suppression of the heterogeneous freezing process. However, for extreme continental cases, liquidand raindrop freezing by collection processes acquires higher importance; hence there is an optimal value for strong cumulonimbus development. The ‘glaciation’ indirect effect is found to be similar to increasing the rate of ice production by the Hallett–Mossop process. Another aspect of this study shows that there is a significant impact of microphysics on cloud dynamics, and so studying aerosol–cloud effects must also consider dynamical feedback, a strong component of which arises from the latent heat released during homogeneous freezing. The important indirect effects may be well described by recent theory for smaller, more common stratiform and cumulus clouds; however, in the tropics, the importance of Hector-type storms cannot be ignored as they, and other similar storms, provide a mechanism for the production of widespread cirrus and the release of a large amount of precipitation.

[1]  H. D. Orville,et al.  Bulk Parameterization of the Snow Field in a Cloud Model , 1983 .

[2]  James E. Dye,et al.  Evaluation of the forward scattering spectrometer probe. Part II: Corrections for coincidence and dead-time losses , 1985 .

[3]  B. Albrecht Aerosols, Cloud Microphysics, and Fractional Cloudiness , 1989, Science.

[4]  J. Hallett,et al.  Production of secondary ice particles during the riming process , 1974, Nature.

[5]  W. Skamarock,et al.  The resolution dependence of explicitly modeled convective systems , 1997 .

[6]  Ka-Ming Lau,et al.  Warm rain processes over tropical oceans and climate implications , 2003 .

[7]  R. C. Srivastava Parameterization of Raindrop Size Distributions. , 1978 .

[8]  A. Pokrovsky,et al.  Simulating convective clouds with sustained supercooled liquid water down to −37.5°C using a spectral microphysics model , 2001 .

[9]  Leiming Zhang,et al.  A size-segregated particle dry deposition scheme for an atmospheric aerosol module , 2001 .

[10]  Martin Gallagher,et al.  Aircraft observations of the influence of electric fields on the aggregation of ice crystals , 2005 .

[11]  J. Klett,et al.  Microphysics of Clouds and Precipitation , 1978, Nature.

[12]  U. Lohmann,et al.  Global indirect aerosol effects: a review , 2004 .

[13]  E. Kessler On the distribution and continuity of water substance in atmospheric circulations , 1969 .

[14]  M. Yau,et al.  A Multimoment Bulk Microphysics Parameterization. Part II: A Proposed Three-Moment Closure and Scheme Description , 2005 .

[15]  Adrian M. Tompkins,et al.  The Impact of Dimensionality on Long-Term Cloud-Resolving Model Simulations , 2000 .

[16]  E. Bigg The supercooling of water , 1953 .

[17]  A. Slingo,et al.  Studies with a flexible new radiation code. I: Choosing a configuration for a large-scale model , 1996 .

[18]  James E. Dye,et al.  Evaluation of the Forward Scattering Spectrometer Probe. Part I: Electronic and Optical Studies , 1984 .

[19]  G. Holland,et al.  The Maritime Continent — Thunderstorm Experiment (MCTEX): Overview and Some Results , 2000 .

[20]  B. Ferrier,et al.  A Double-Moment Multiple-Phase Four-Class Bulk Ice Scheme. Part I: Description , 1994 .

[21]  E. Bigg The formation of atmospheric ice crystals by the freezing of droplets , 1953 .

[22]  M. E. Gray,et al.  Characteristics of Numerically Simulated Mesoscale Convective Systems and Their Application to Parameterization , 2000 .

[23]  G. Shutts,et al.  A numerical modelling study of the geostrophic adjustment process following deep convection , 1994 .

[24]  Sonia M. Kreidenweis,et al.  African dust aerosols as atmospheric ice nuclei , 2003 .

[25]  S. Twomey The Influence of Pollution on the Shortwave Albedo of Clouds , 1977 .

[26]  H. D. Orville,et al.  A numerical cloud model study of the Hallett-Mossop ice multiplication process in strong convection , 1989 .

[27]  Brad Baker,et al.  An overview of microphysical properties of Arctic clouds observed in May and July 1998 during FIRE ACE , 2001 .

[28]  John M. Wallace,et al.  Planetary-Scale Atmospheric Phenomena Associated with the Southern Oscillation , 1981 .

[29]  John E. Harries,et al.  Anatomy of cirrus clouds: Results from the Emerald airborne campaigns , 2004 .

[30]  B. P. Leonard,et al.  The ULTIMATE conservative difference scheme applied to unsteady one-dimensional advection , 1991 .

[31]  S. Philander,et al.  El Niño Southern Oscillation phenomena , 1983, Nature.

[32]  M. Yau,et al.  A Multimoment Bulk Microphysics Parameterization. Part I: Analysis of the Role of the Spectral Shape Parameter , 2005 .

[33]  A. Pokrovsky,et al.  Aerosol impact on the dynamics and microphysics of deep convective clouds , 2005 .

[34]  William L. Woodley,et al.  Deep convective clouds with sustained supercooled liquid water down to -37.5 °C , 2000, Nature.

[35]  K. C. Young The Role of Contact Nucleation in Ice Phase Initiation in Clouds , 1974 .

[36]  V. Ramanathan,et al.  Thermodynamic regulation of ocean warming by cirrus clouds deduced from observations of the 1987 El Niño , 1991, Nature.

[37]  Jon Petch,et al.  Sensitivity studies using a cloud‐resolving model simulation of the tropical west Pacific , 2001 .

[38]  W. Cotton,et al.  New primary ice-nucleation parameterizations in an explicit cloud model , 1992 .

[39]  J. Hallett,et al.  Ice Crystal Concentration in Cumulus Clouds: Influence of the Drop Spectrum , 1974, Science.