The Arctic is an important component of the global climate system. This fact is highlighted by global climate model simulations that consistently show the Arctic to be one of the most sensitive regions to climate change. Although essential to interpreting model simulation results and their implications for climate variability, an identification of the differences among models and model systematic errors in the arctic has yet to be achieved. For this reason, a set of symbiotic model intercomparison projects are currently addressing different aspects of the Arctic climate system, for example, the Sea Ice Model Intercomparison Project (SIMIP), the Arctic Regional Climate Model Intercomparison Project (ARCMIP), the Arctic Ocean Model Intercomparison Project (AOMIP), etc. Collectively, all these intercomparison projects reflect a significant research effort towards improving the representation of the Arctic region in global climate models. The goal of this session is to bring together arctic researchers involved in the model intercomparisons and model validation studies in order to exchange ideas and methods of model improvement based on the intercomparion approach. It is our hope that this session will serve as a catalyst for researchers from different fields, fostering a synthesis of major aspects of arctic climate system modeling.
Andrey Proshutinsky
Judith Curry
Gregory Flato
John Walsh
| Sirpa Hakkinen & Hugues Goosse |  |
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Greg Flato |
| Jia Wang & Ruediger Gerdes |  |
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Michael Karcher |
| Nadja Steiner |  |
| Marika Holland |
AGU Spring Meeting - 2002
Washington Convention Center
900 9th Street N.W.
Washington D.C., 20001
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. © David Holland. All Rights Reserved. |
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