Assessing raindrop breakup parameterizations using disdrometer observations
Dolan, Brenda — Colorado State University
Saleeby, Stephen — Colorado State University
Area of research:
This study compares the size and number concentration of raindrop populations from surface disdrometer observations and numerical models in order to understand their similarities and differences with the goal of improving model representation of rain drop size distributions.
The comparison between observed and modeled raindrop populations has assisted in identifying the raindrop collisional breakup process as a substantial source of uncertainly in numerical models. A method of adjustment to current raindrop breakup parameterizations is proposed and examined.
An intercomparison of raindrop mean diameter frequency distribution (RDFD) is performed for numerical simulations of precipitating cloud systems using an array of models and microphysics schemes. Simulations are examined with respect to the raindrop size distribution (DSD) volume-number mean diameter (Dm) and intercept parameter (Nw). When compared to a suite of disdrometer observations, the RDFD resulting from each microphysics scheme exhibits varying degrees of mean drop size constraints and peaks in the frequency distribution of Dm. A more detailed investigation of the peaked RDFD suggests that the parameterization of raindrop collisional breakup can impose strong limitations on the evolution of simulated drop growth. While some drop breakup parameterizations are adjusted toward the observations by modifying the threshold diameter for the onset of breakup, this study explores the use of a modified maximum breakup efficiency. This method permits the parameterization to retain its threshold breakup diameter, while limiting the strength of drop breakup and permitting a broader range of drop sizes. As a result, the simulated mean drop sizes are in better agreement with observations.