Climate models are essential scientific tools that provide insights into how the Earth’s climate system may evolve under different natural and human influences. They are based on mathematical representations of physical, chemical, and biological processes that govern interactions between the atmosphere, oceans, land surface, and cryosphere. By simulating these complex interactions, climate models allow scientists to predict future climate patterns, assess risks, and guide policymakers in mitigating and adapting to climate change. The ability of climate models to project future scenarios rests on their incorporation of fundamental physical laws, observational data, and computational power to simulate climate dynamics on both regional and global scales. The foundation of climate models lies in their reliance on well-established principles such as thermodynamics, fluid dynamics, and radiative transfer. These models divide the Earth’s surface, atmosphere, and oceans into three-dimensional grids, within which equations describe the exchange of energy, moisture, and momentum. By solving these equations repeatedly over time, models can simulate climate processes across decades and centuries. The grid resolution determines the precision of the model, and advances in computing technology have allowed for finer resolutions that capture small-scale processes such as cloud formation and ocean eddies, which play critical roles in climate dynamics. One of the key contributions of climate models is their ability to distinguish between natural variability and human-induced changes. By running simulations with only natural factors such as solar variability and volcanic activity, models can demonstrate the baseline climate conditions. When human factors such as greenhouse gas emissions, land-use change, and aerosols are added, the models reproduce the observed warming trend of the twentieth and twenty-first centuries. This provides strong evidence that human activities are the primary driver of modern climate change. Without models, it would be difficult to attribute observed trends to specific causes or to separate natural fluctuations from anthropogenic influences. Climate models also aid in projecting future climate scenarios under different socio-economic pathways. For this purpose, scientists use Representative Concentration Pathways (RCPs) or the updated Shared Socioeconomic Pathways (SSPs). These scenarios represent different trajectories of greenhouse gas concentrations depending on global policies, technological advances, and societal choices. For instance, a high-emission scenario projects continued heavy reliance on fossil fuels, resulting in significant warming by the end of the century. Conversely, a low-emission pathway assumes strong mitigation measures, with much lower levels of warming. Climate models run under these scenarios allow policymakers to understand the potential consequences of their decisions and to evaluate the benefits of mitigation strategies. Another important application of climate models is in predicting regional climate impacts.