Book contents
- Philosophy and Climate Science
- Philosophy and Climate Science
- Copyright page
- Epigraph
- Contents
- Figures
- Boxes
- Tables
- Preface
- 1 Introduction
- 2 Data
- 3 Models
- 4 Simulations
- 5 Chaos
- 6 Probability
- 7 Confidence
- 8 Decision
- 9 Values
- 10 Skill
- 11 Robustness
- 12 Diversity
- 13 Social Epistemology
- 14 Epilogue
- Appendix: Structural Stability and the “Hawkmoth Effect”*
- References
- Index
- References
3 - Models
Published online by Cambridge University Press: 19 April 2018
Book contents
- Philosophy and Climate Science
- Philosophy and Climate Science
- Copyright page
- Epigraph
- Contents
- Figures
- Boxes
- Tables
- Preface
- 1 Introduction
- 2 Data
- 3 Models
- 4 Simulations
- 5 Chaos
- 6 Probability
- 7 Confidence
- 8 Decision
- 9 Values
- 10 Skill
- 11 Robustness
- 12 Diversity
- 13 Social Epistemology
- 14 Epilogue
- Appendix: Structural Stability and the “Hawkmoth Effect”*
- References
- Index
- References
Summary
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- Type
- Chapter
- Information
- Philosophy and Climate Science , pp. 26 - 37Publisher: Cambridge University PressPrint publication year: 2018
References
Suggestions for Further Reading
Morgan, Mary and Morrison., Margaret 1999. Models as Mediators. An influential collection of essays on the role of models in science that emphasizes particularly well the representational and inferential role of models that I have in mind with my own use of the expression “mediating model.”Google Scholar
Frigg, Roman and Hartmann., Stephan 2012. “Models in Science,” The Stanford Encyclopedia of Philosophy. A concise summary of all the work in philosophy of science on scientific modeling from the last 40 years. Contains an extensive bibliography.Google Scholar
Parker, Wendy. 2009. “Confirmation and Adequacy-for-Purpose in Climate Modelling.” A vigorous defense of the claim, which we took aboard in this chapter, that climate models should be confirmed as “adequate for purpose” and not truth or overall fitness.CrossRefGoogle Scholar
Suárez, Mauricio. 2004. “An Inferential Conception of Scientific Representation.” Argues for a picture of scientific modeling according to which the fundamental feature of models is that they facilitate inferences about their targets.Google Scholar