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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DOI 10.1016/j.shpsa.2010.11.037
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References found in this work BETA
Understanding Pluralism in Climate Modeling.W. S. Parker - 2006 - Foundations of Science 11 (4):349-368.
Confirmation and Adequacy-for-Purpose in Climate Modelling.Wendy S. Parker - 2009 - Aristotelian Society Supplementary Volume 83 (1):233-249.
Representing with Imaginary Models: Formats Matter.Marion Vorms - 2011 - Studies in History and Philosophy of Science Part A 42 (2):287-295.
Mathematical Formalisms in Scientific Practice: From Denotation to Model-Based Representation.Axel Gelfert - 2011 - Studies in History and Philosophy of Science Part A 42 (2):272-286.
Models, Simulations, and Their Objects.Sergio Sismondo - 1999 - Science in Context 12 (2).

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Citations of this work BETA
How Can Computer Simulations Produce New Knowledge?Claus Beisbart - 2012 - European Journal for Philosophy of Science 2 (3):395-434.
Heuristics and Meta-Heuristics in Scientific Judgement.Spencer Phillips Hey - 2016 - British Journal for the Philosophy of Science 67 (2):471-495.

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