The existing approaches to climate modeling to represent the main effects of clouds on the atmosphere are essentially based on a statistical approach to handle the uncertainty of the parameters of cloud dynamics.

The overall presentation of this paper is technically very sound and experimentally very convincing, and its practical application has a very high impact in atmospheric science. The paper also reviews the state of the art very thoroughly, and the overall representation of the state of the art is extremely good.

Even then, some alternative approaches to cloud modeling exist, for example, a fuzzy linguistic approach to capture the uncertainties of the parameters of cloud dynamics. In this fuzzy approach to cloud modeling, experience obtained from past data can be easily incorporated using an expert system approach. In my view, qualitative simulation (QSim) using fuzzy state and fuzzy logic, or fuzzy QSim, may be applied on an experimental basis to further improve the modeling of cloud dynamics. Also, QSim or modified QSim (the QSim approach of artificial intelligence) should be applied for the modeling of cloud dynamics. The effectiveness and superiority of the proposed method can be established by comparing it to the performance of QSim (fuzzy/non-fuzzy approach) for modeling systems with uncertainty.