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Proposed Development of a Community Arctic System Model for Understanding Environmental Complexity

Proposed Development of a Community Arctic System Model for Understanding Environmental Complexity
Abstract Category: 
1.3. Approaches to Integrated Studies of the Arctic System
Type: 
Parallel
Time: 
16 March 2010 - 3:15pm
Andrew Roberts1, Jessica Cherry2, Scott Elliott3, Larry Hinzman4, John Walsh5
1Arctic Region Supercomputing Center and International Arctic Research Center, University of Alaska, PO Box 756020, Fairbanks, AK, 99775, USA, aroberts [at] arsc [dot] edu
2International Arctic Research Center, USA
3Los Alamos National Laboratory, USA
4International Arctic Research Center, USA
5International Arctic Research Center, USA

During the International Polar Year 2007-2009, a series of international workshops were held on the future development of regional Earth System Models of the Arctic. There was a strong consensus at each of these meetings that limited-area Arctic Climate Models must soon include biogeochemistry, ecosystems and human dimension modules in addition to improved cryospheric sophistication and atmospheric chemistry. But more importantly, discussions frequently focused on the utility of regional Arctic System Models (ASMs) and the questions that they can and cannot answer. During the next ten years, global models will resolve many processes that were once the preserve of high-resolution regional models. However global models are also becoming increasingly complex, and stand-alone regional models have been identified as agents to help understand regional complexity, identify causality where it exists within the arctic environment, and provide a development laboratory for new processes and methods destined for global models. ASMs are also an ideal platform for downscaling global climate projections so that human-environment interactions can be nested within earth system simulations, and can contribute substantially to the design of Arctic observing networks. As a result of these workshops, a report to the National Science Foundation recommends the creation of a regional U.S. Community Arctic System Model as a focal point for a systems-based approach to understanding the arctic environment. In addition, there are several nations with strong arctic interests moving toward their own Arctic System Models, and an initial plan has been drawn up to foster collaboration between international groups tackling similar problems in ASM development. This presentation will detail the motivation, strategy and scientific rational for a U.S. Arctic System Model as an agent for understanding physical-biogeochemical-ecological-human interconnectivity of high-northern latitudes.

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National Science Foundation | Division of Arctic Sciences
National Science Foundation
National Oceanic and Atmospheric Administration
National Oceanic and Atmospheric Administration
International Arctic Systems for Observing the Atmosphere
International Arctic Systems for Observing the Atmosphere
Study of Environmental Arctic Change
Study of Environmental Arctic Change
Arctic System Science Program
Arctic System Science Program
US Arctic Research Commission
US Arctic Research Commission
North Slope Science Initiative
North Slope Science Initiative
International Arctic Science Committee
International Arctic Science Committee
Arctic Ocean Sciences Board
Arctic Ocean Sciences Board
Alaska Ocean Observing System
Alaska Ocean Observing System
Department of Energy
Department of Energy
National Aeronautics and Space Administration
National Aeronautics and Space Administration
World Wildlife Fund
WWF
Association of Polar Early Career Scientists
Association of Polar Early Career Scientists
Bureau of Land Management
Bureau of Land Management
International Study of Arctic Change
International Study of Arctic Change
ArcticNet
ArcticNet
DAMOCLES
Developing Arctic Modeling and Observing Capabilities for Long-term Environmental Studies

This work is supported by the National Science Foundation (NSF) under the ARCUS Cooperative Agreement ARC-0618885. Any opinions, findings, and conclusions or recommendations expressed do not necessarily reflect the views of the NSF.