Since the development of the first general circulation model and the advent of computing in the 1950's, climate modeling has evolved rapidly in complexity and accuracy, as well as breadth of application. Current models track the movement of fluids and energy transfer between the atmosphere, land and ocean to most commonly output either short-term weather forecasts or long-term climate change predictions. At this event, Jon Allen reviews the evolution of climate modeling; explores complex modeling concepts, such as positive feedback; and objectively looks at the current state of models and what they tell us. Jon S. Allen is a current engineering PhD student at UAA/UAF. He holds a M.S. Ocean Engineering from Texas A&M. (Note: The presentation slides that accompany the audio podcast is also posted in iTunes.)