Abstract
Relationship between cloud droplet effective radius and cloud top height is investigated using CloudSat data product to evaluate the hypothesis of convection invigoration by atmospheric aerosols. The result shows negative correlation between the two, which supports the hypothesis. Since CloudSat is sensitive to precipitation particles, means to decrease the errors due to precipitation particles should be devised. Cloud droplet growth processes can be divided into two processes: condensation growth process and collision coalescence growth process. By using profiles which correspond to condensation growth process, influence of precipitation particles can be reduced. It is shown that by k-means clustering, CloudSat radar reflectivity profiles can be divided into two clusters. By using profiles in the cluster which is considered to correspond to condensation growth process, negative correlation between cloud droplet radius and cloud top height is confirmed.
