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Conclusions

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Part of the Lecture Notes in Computational Science and Engineering book series (LNCSE,volume 54)

Abstract

Adaptive atmospheric modeling is a truly interdisciplinary approach in scienti fic computing. We have seen several tools from applied mathematics, theoretical physics, computer science and even pure mathematics interacting in order to achieve efficiency, accuracy and robustness for adaptive algorithms in atmospheric modeling. This chapter aims in reviewing the methods and evaluating their respective usefulness. From this we try to derive a path for future research directions.

Keywords

  • Atmospheric Modeling
  • Adaptive Method
  • Characteristic Length Scale
  • Discontinuous Galerkin Scheme
  • Truncation Error Estimate

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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  • DOI: 10.1007/3-540-33383-5_9
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Behrens, J. (2006). Conclusions. In: Adaptive Atmospheric Modeling. Lecture Notes in Computational Science and Engineering, vol 54. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-33383-5_9

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