Climate models are usually based on systems of Partial Differential Equations (PDEs) in which the equations represent the mathematical formulation of the physical laws governing oceans and the atmosphere. Because of the complexity of the system rising from the interactions between a high number of phenomena, these mathematical models can only be solved under strongly simplifying assumptions, which are _a priori_ decisions about which physical processes are important for the precise scope [16]. Nowadays, the most complex and precise description of the climate system is given by General Circulation Models (GCMs), which basically represent the first successful attempt at climate modeling [17], and in order to obtain the solutions of these PDEs, equations developed they have to be transformed into numerical models that can be handled by a classical computer. Unfortunately, climate modelling is currently necessary to have an understanding of how climate and quantum computing could help us, solve PDEs, to obtain more precise and complete solutions in a reasonable time. These calculation could allow an understanding of how climate has changed in the past, hoping to identify any underlying trends to deal with them, in order to unveil any possible solutions as soon as possible. #quantum