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Suggested Citation:"Appendix A Statement of Task." 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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A
Statement of Task

This workshop, which will be open to the public, will use key presentations, panelist discussion, and open discussion to explore and evaluate current efforts to model physical processes of coupled atmosphere-ocean-land models. Specifically, the following questions will be addressed at the workshop:

  • What is the status of and what are the major errors associated with the parameterization of physical processes in A-L-O models ranging from local-daily scales to regional-decadal scales? What effects do these errors have on model output compared to other sources of error?

  • How can model parameterizations be improved to represent the essential physics in A-L-O models? How can these parameterizations be tested rigorously, and what supporting infrastructure is needed to do so?

  • What is the appropriate balance between the efforts being directed toward improving physical parameterizations and the efforts being directed toward other model development and application activities?

Suggested Citation:"Appendix A Statement of Task." 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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