作者: Kentaroh Suzuki , Graeme L. Stephens , Matthew D. Lebsock
DOI: 10.1002/JGRD.50043
关键词:
摘要: [1] This study demonstrates how aerosols influence the liquid precipitation formation process. This demonstration is provided by combined use of satellite observations and global high-resolution model simulations. Methodologies developed to examine warm cloud microphysical processes are applied both multi-sensor aerosol-coupled cloud-resolving (GCRM) results illustrate rain process modulated under different aerosol conditions. The observational analysis exhibits process-scale signatures suppression due increased aerosols, providing evidence on precipitation. By contrast, corresponding statistics obtained from show a much faster even for polluted conditions weaker reduction in response increase. It then shown that this reduced sensitivity points fundamental bias turn biases A method improving introduced context simplified single-column (SCM) represents cloud-to-rain water conversion manner similar original GCRM. Sensitivity experiments performed modifying assumptions SCM their comparisons suggest auto-conversion scheme has critical role determining perturbations also provide novel way constraining key parameters schemes models.