DEVELOPMENT OF THE PREDICTION MODEL FOR ACID RAIN AND SNOW CONSIDERING THE DETAILED CLOUD MICROPHYSICAL PROCESSES

Abstract

Recently the issue of acid rain and acid snow is deeply concerned as one of the global environmental problems. Many prediction models for acid rain have been developed. However most of them are using the parameterized cloud microphysical processes so called bulk method. The size distribution of cloud droplets is important for considering the transportation and transformation of acidic species among each water phases. The size distribution of cloud droplets is calculated by detailed microphysical processes so called bin method. Therefore in this study we developed the prediction model for acid rain and acid snow by using the detailed microphysical processes. Moreover we also investigated the mechanism of acid rain and snow by using the developed model.