Extended Abstract (288K)P1A.10
A general approach to double moment normalization of drop size distribution
GyuWon Lee, McGill University, Montreal, QC, Canada; and I. Zawadzki, W. Szyrmer, D. Sempere-Torres, and R. Uijlenhoet
Normalization of drop size distributions (DSDs) is re-examined here. First, we present an extension of scaling normalization using one moment of the DSD as a parameter (as introduced by Sempere-Torres et al, 1994) to a scaling normalization using two moments as parameters of the normalization. It is shown that the normalization of Testud et al. (2001) is a particular case of the two-moment scaling normalization. Thus, a unified vision of the question of DSDs normalization and a good model representation of DSDs is given. Data analysis shows that from the point of view of moment estimation least square regression is slightly more effective than moment estimation from the normalized average DSD.
Poster Session 1A, Microphysics Poster
Wednesday, 6 August 2003, 1:30 PM-3:30 PM
Previous paper Next paper