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MODELING ICE AGES and their inception can reveal aspects of the climate system that are not able to be measured, and provide a key to the drivers of climate change. Ice age model results can also allow an analysis of the global and regional conditions at that time, and provide a comparison with proxy field evidence. Models range from simple conceptual models, to full global climate models that include vegetation growth and ocean dynamics. To simulate ice ages or their inception, modelers consider several forcing factors. Low greenhouse gas levels are critical. A continental configuration that limits the oceanic transfer of heat from the tropics to the poles is also important. Ice ages can be instigated by orbital conditions that lend themselves to cool summers in high latitude continents or by weathering processes that remove carbon dioxide from the atmosphere.

Once an area cools and an ice sheet begins to grow, there are many feedbacks that encourage its growth. These include local cooling caused by the ice itself—from the higher reflectivity (albedo) of the ice and the increasing altitude of the ice surface. There are also many feedbacks that alter the levels of atmospheric greenhouse gases. For example, marshes and other regions of vegetation can be a source of greenhouse gases; as these regions freeze or are covered in ice, that source of greenhouse gas is removed. As the globe cools and the oceans begin to cool, even more greenhouse gases are removed from the atmosphere, because a cool ocean has more capacity to absorb carbon dioxide. Feedbacks are instrumental in starting and maintaining an ice age or glacial period. In a warming world, these feedbacks occur in reverse, and evidence from ice cores indicate that warming feedbacks contribute to much more rapid changes in global climate than cooling feedbacks.

Modeling Last Glacial Maximum

One way to model ice ages is using a general circulation model (GCM) or Earth System Model of Intermediate Complexity (EMIC) to simulate the global climate representative of a particular time in history. Many early modeling studies attempted to simulate the most recent glacial, the Last Glacial Maximum (LGM). Since those early studies, a major project was established called the Paleoclimate Modelling Intercomparison Project (PMIP), providing a rich source of modeling studies of the LGM.

The PMIP is designed much like the Atmospheric Model Intercomparison Project (AMIP) or the Coupled Model Intercomparison Project (CMIP), with a range of modeling groups running their GCMs and EMICs with a set suite of forcing factors. Key epochs simulated as part of PMIP were the climatic optimum at 6,000 years ago and the Last Glacial Maximum (LGM), about 20,000 years ago. These times were chosen as end-members of the range of global climate in the recent geological past. They were compared with a present climate with pre-industrial greenhouse gas levels. The project has several aims. It aims to test the ability of models to simulate climates quite distinct from today, and the differences between models. Modeling extreme climates will help to understand the drivers of climate change and the climate s response to different forcing. Finally, the PMIP will provide many results to help fill in the gaps in knowledge of past climates and understand proxy evidence.

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