Building Trust, Removing Doubt? Robustness Analysis and Climate Modeling

In Elisabeth A. Lloyd & Eric Winsberg (eds.), Climate Modelling: Philosophical and Conceptual Issues. Springer Verlag. pp. 297-321 (2018)
  Copy   BIBTEX

Abstract

In this chapter, Odenbaugh first provides a conceptual framework for thinking about climate modeling, specifically focused on general circulation models. Second, he considers what makes models independent of one another. Third, he shows robustness analysis, which depends on models being independent of one another, can be used to remove doubts about idealizations in general climate models. Finally, he considers a dilemma for robustness analysis; namely, it leads to either an infinite regress of idealizations or a complete removal of idealizations. A response to the dilemma is given defending a form of epistemic contextualism and by drawing a distinction between relative and absolute robustness.

Links

PhilArchive



    Upload a copy of this work     Papers currently archived: 91,386

External links

Setup an account with your affiliations in order to access resources via your University's proxy server

Through your library

Similar books and articles

Confirmation and Robustness of Climate Models.Elisabeth A. Lloyd - 2010 - Philosophy of Science 77 (5):971–984.
Computer models and the evidence of anthropogenic climate change: An epistemology of variety-of-evidence inferences and robustness analysis.Martin Vezer - 2016 - Computer Models and the Evidence of Anthropogenic Climate Change: An Epistemology of Variety-of-Evidence Inferences and Robustness Analysis MA Vezér Studies in History and Philosophy of Science 56:95-102.
Robustness and sensitivity of biological models.Jani Raerinne - 2013 - Philosophical Studies 166 (2):285-303.
Uncertainties, Plurality, and Robustness in Climate Research and Modeling: On the Reliability of Climate Prognoses.Anna Leuschner - 2015 - Journal for General Philosophy of Science / Zeitschrift für Allgemeine Wissenschaftstheorie 46 (2):367-381.
Robustness analysis and tractability in modeling.Chiara Lisciandra - 2017 - European Journal for Philosophy of Science 7 (1):79-95.
Model robustness as a confirmatory virtue: The case of climate science.Elisabeth A. Lloyd - 2015 - Studies in History and Philosophy of Science Part A 49:58-68.
Economic Modelling as Robustness Analysis.Jaakko Kuorikoski, Aki Lehtinen & Caterina Marchionni - 2010 - British Journal for the Philosophy of Science 61 (3):541-567.
Introduction.Elisabeth A. Lloyd & Eric Winsberg - 2018 - In Elisabeth A. Lloyd & Eric Winsberg (eds.), Climate Modelling: Philosophical and Conceptual Issues. Springer Verlag. pp. 1-28.
Allocating confirmation with derivational robustness.Aki Lehtinen - 2016 - Philosophical Studies 173 (9):2487-2509.

Analytics

Added to PP
2020-06-17

Downloads
13 (#1,013,785)

6 months
6 (#512,819)

Historical graph of downloads
How can I increase my downloads?

Author's Profile

Jay Odenbaugh
Lewis & Clark College

Citations of this work

Mechanisms and generative material models.Sim-Hui Tee - 2019 - Synthese 198 (7):6139-6157.

Add more citations

References found in this work

No references found.

Add more references