On the basis of simultaneous solution of equations of diffusion growth and thermal balance of a drop, a formula is given for calculating the rate of its condensation growth and evaporation taking into account the emission of latent heat of condensation, the curvature of the drop surface and the mass of matter dissolved in it. Formulae introduced earlier by other authors are particular cases of the obtained expression. The analysis of the given formula allows one to evaluate the optimum sizes of particles of certain salts which influence drop clouds.

On the basis of simultaneous solution of equations of diffusion growth and thermal balance of a drop, a formula is given for calculating the rate of its condensation growth and evaporation taking into account the emission of latent heat of condensation, the curvature of the drop surface and the mass of matter dissolved in it. Formulae introduced earlier by other authors are particular cases of the obtained expression. The analysis of the given formula allows one to evaluate the optimum sizes of particles of certain salts which influence drop clouds.

This book focuses specifically on bin and bulk parameterizations for the prediction of cloud and precipitation at various scales - the cloud scale, mesoscale, synoptic scale, and the global climate scale. It provides a background to the fundamental principles of parameterization physics, including processes involved in the production of clouds, ice particles, liquid water, snow aggregate, graupel and hail. It presents full derivations of the parameterizations, allowing readers to build parameterization packages, with varying levels of complexity based on information in the book. Architectures for a range of dynamical models are given, in which parameterizations form a significant tool for investigating large non-linear numerical systems. Model codes are available online at www.cambridge.org/9780521883382. Written for researchers and advanced students of cloud and precipitation microphysics, this book is also a valuable reference for all atmospheric scientists involved in models of numerical weather prediction.