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Suggested Citation:"Summary." National Research Council. 2005. Improving the Scientific Foundation for Atmosphere-Land-Ocean Simulations: Report of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/11266.
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Summary

The 2004 Board on Atmospheric Sciences and Climate summer workshop was designed to explore challenges in representing physical processes in coupled atmosphere-land-ocean models. Participants discussed both the science of model parameterizations, including several key processes for which they believe improvement is necessary, and broader issues termed “cultural” because they are thought to be entrenched in the customs and structure of the atmospheric, climate, and oceanographic communities.

Many workshop participants agreed that progress in model development is being impeded, and they identified several likely contributors to this situation, many of them cultural:

  • Widely available, easily run models and the current funding and academic environments may be turning both graduate students and their faculty advisors toward fast-turnaround research in numerical simulation and away from the traditional but much slower path of theory and observation.

  • Bright young scholars best suited to tackling scientific problems may incorrectly perceive that the atmospheric and oceanic sciences are an applied field whose goal is merely to improve weather and climate forecasts.

Suggested Citation:"Summary." National Research Council. 2005. Improving the Scientific Foundation for Atmosphere-Land-Ocean Simulations: Report of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/11266.
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  • Progress in parameterization, which often requires interactions across traditional disciplinary boundaries, could now be inhibited by the compartmentalization of educational, research, and funding institutions.

  • The rigidity of long-existing models and the lack of efforts to remove inferior or flawed physical representations hinder progress by preventing opportunities for new, fresh thinking.

Because the development of parameterizations for use in numerical models has become a fundamental part of the atmospheric sciences, climate, and oceanography, these trends could cloud the future of the fields. As such, many workshop participants believe there is a need to recognize, accommodate, and foster model parameterization science to ensure continued progress in model development.

Suggested Citation:"Summary." National Research Council. 2005. Improving the Scientific Foundation for Atmosphere-Land-Ocean Simulations: Report of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/11266.
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Page 1
Suggested Citation:"Summary." National Research Council. 2005. Improving the Scientific Foundation for Atmosphere-Land-Ocean Simulations: Report of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/11266.
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The National Academies' Board on Atmospheric Sciences and Climate (BASC) held a workshop to explore and evaluate current efforts to model physical processes of coupled atmosphere-land-ocean (A-L-O) models. Numerical models of the atmosphere and ocean are central to weather prediction, research, and education. Although great strides have been made over the past few decades in understanding the atmosphere and ocean, modeling capabilities, and numerical A-L-O simulations, some unresolved processes in the models do not adequately represent knowledge of the underlying physics. Moreover, there is evidence that further progress in numerical simulations is being impeded by the slow pace of improvement in the representation of key physical processes in the models and the fact that geophysical flow models are not receiving the attention needed to make these tools more useful and accurate. These models often are used to predict future events, so it is imperative that their underlying physical processes be represented as robustly as possible. During the workshop, the parameterization of physical processes in A-L-O models was addressed, including associated errors, testing, and efforts to improve the use of parameterizations. Participants also examined intellectual and scientific challenges in modeling and highlighted the idea that some of the key impediments to progress in representing physical processes are primarily cultural in nature.

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