Climate models are essential tools used by scientists to understand and predict the Earth’s climate system. They are mathematical representations of the interactions between the atmosphere, oceans, land surface, ice, and biological processes. Built upon physical laws and based on observations, these models help simulate past, present, and future climate conditions under different scenarios. Their development and application are crucial in comprehending the potential impacts of climate change and formulating mitigation and adaptation strategies. Climate models function by solving complex mathematical equations that describe the behavior of the Earth's climate system. These equations are rooted in the fundamental laws of physics, such as the conservation of mass, momentum, and energy. The Earth’s surface is divided into a three-dimensional grid that includes longitude, latitude, and altitude. At each grid point, the model calculates the exchange of energy, moisture, and momentum across different layers of the atmosphere and between the land and ocean surfaces. These computations are repeated over small time intervals, simulating climate evolution over days, years, or centuries. One of the most fundamental uses of climate models is to project future climate scenarios based on varying levels of greenhouse gas (GHG) emissions. These scenarios, developed by organizations such as the Intergovernmental Panel on Climate Change (IPCC), include assumptions about future population growth, economic development, energy use, and policy interventions. Climate models can simulate how the Earth’s climate would respond under each of these scenarios, allowing scientists and policymakers to anticipate possible future outcomes. For example, models predict how average global temperatures, precipitation patterns, sea levels, and extreme weather events will change by 2100 under high-emission versus low-emission trajectories. There are several types of climate models, each with varying levels of complexity. Energy Balance Models (EBMs) are the simplest and represent global climate with minimal spatial resolution. Intermediate Complexity Models (ICMs) include more components and feedback processes but still operate on simplified representations. General Circulation Models (GCMs) are the most advanced and simulate the climate in three dimensions, resolving interactions between the atmosphere, oceans, land surface, and cryosphere. Earth System Models (ESMs) further expand on GCMs by incorporating biogeochemical cycles, including carbon and nitrogen cycles, thus improving the ability to simulate climate–biosphere interactions. Climate models are validated through a process called hindcasting, where models simulate past climate