General Circulation Models (GCMs) are sophisticated numerical tools used to simulate the Earth’s climate system and predict its future behavior under varying conditions. They are central to understanding climate change as they integrate knowledge from atmospheric physics, oceanography, land surface processes, and cryospheric interactions to provide a comprehensive picture of climate dynamics. The fundamental concept of GCMs is based on representing the physical processes that govern the movement of air, water, and energy across the planet, thereby allowing scientists to study how these components interact to produce climate patterns at global and regional scales. GCMs divide the Earth into a three-dimensional grid system that spans latitude, longitude, and height in the atmosphere or depth in the oceans. Each grid cell represents a specific volume of air or water where variables such as temperature, pressure, humidity, wind velocity, ocean currents, and salinity are calculated over time using fundamental physical laws, including conservation of energy, mass, and momentum. The atmosphere and oceans are modeled simultaneously, enabling the exchange of heat, moisture, and momentum between them. This coupled modeling approach allows GCMs to realistically simulate phenomena like monsoons, jet streams, ocean currents, and large-scale circulation patterns that influence climate variability. The atmospheric component of a GCM is governed by the primitive equations, which are derived from Newton’s laws of motion and thermodynamics. These equations account for forces such as the Coriolis effect, pressure gradients, and frictional forces, and they are solved numerically at each time step to forecast the evolution of atmospheric conditions. The ocean component uses similar equations adapted for fluid dynamics and thermohaline circulation, capturing the movement of warm and cold water masses and their influence