What do numerical (climate) models really represent?

Abstract
The translation of a mathematical model into a numerical one employs various modifications in order to make the model accessible for computation. Such modifications include discretizations, approximations, heuristic assumptions, and other methods. The paper investigates the divergent styles of mathematical and numerical models in the case of a specific piece of code in a current atmospheric model. Cognizance of these modifications means that the question of the role and function of scientific models has to be reworked. Neither are numerical models pure intermediaries between theory and data, nor are they autonomous tools of inquiry. Instead, theory and data are transformed into a new symbolic form of research due to the fact that computation has become an essential requirement for every scientific practice. Therefore the question is posed: What do numerical (climate) models really represent?
Keywords Climate models  Computing  Symbolic forms  Scientific modelling
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References found in this work BETA
Wendy S. Parker (2009). Confirmation and Adequacy-for-Purpose in Climate Modelling. Aristotelian Society Supplementary Volume 83 (1):233-249.

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Citations of this work BETA
Claus Beisbart (2012). How Can Computer Simulations Produce New Knowledge? European Journal for Philosophy of Science 2 (3):395-434.
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