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Principles of Adaptive Atmospheric Modeling

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

Abstract

In this chapter, major principles of adaptivity and especially adaptive atmospheric modeling will be discussed. We start with reconsidering the paradigms of adaptivity in the mathematical and in the meteorological communities respectively in order to clarify the basic notations. After this clarification, and a description of principle challenges in adaptivity, we introduce concepts of adaptive refinement techniques and discuss refinement criteria.

Keywords

  • Local Error
  • Posteriori Error
  • Richardson Extrapolation
  • Local Basis Function
  • Local Discretization Error

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_2
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© 2006 Springer

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Behrens, J. (2006). Principles of Adaptive Atmospheric Modeling. 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_2

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