Philosophy of climate science has witnessed substantial recent debate over the existence of a dynamical or "structural" analogue of chaos, which is alleged to spell trouble for certain uses of climate models. In this paper, I argue that the debate over the analogy can and should be separated from its alleged epistemic implications: chaos-like behavior is neither necessary nor sufficient for small dynamical misrepresentations to generate erroneous results. I identify the relevant kind of kind of sensitivity with a kind of safety failure and argue that the resulting set of issues has different stakes than the extant debate would indicate
Climate change mitigation has become a paradigm case for both externalities in general and for the g...
To study climate change, scientists employ computer models, which approximate target systems with va...
In this brief report we discuss how continuous changes on the physical parameters that determine the...
Philosophy of climate science has witnessed substantial recent debate over the existence of a dynami...
Philosophers often distinguish between parameter error and model error. Frigg et al. [2014] argue th...
This paper deals with the question of whether uncertainty regarding model structure, especially in c...
Climatology is a paradigmatic complex systems science. Understanding the global climate involves tac...
In a series of recent papers, two of which appeared in this journal, a group of philosophers, physic...
Climatology is a paradigmatic complex systems science. Understanding the global climate involves ta...
In this paper I argue that the appropriate analogy for “understanding what makes simulation results ...
Climate modelling plays a crucial role for understanding and addressing the climate challenge, in te...
Copyright © 2012 The Royal SocietyJournal ArticleThe current threat of global warming and the public...
We argue that typical mechanical systems subjected to a monotonous parameter drift whose timescale i...
Climate change mitigation has become a paradigm case both for externalities in general and for the g...
Includes bibliographical referencesUncertainty in climate system initial conditions (ICs) is known t...
Climate change mitigation has become a paradigm case for both externalities in general and for the g...
To study climate change, scientists employ computer models, which approximate target systems with va...
In this brief report we discuss how continuous changes on the physical parameters that determine the...
Philosophy of climate science has witnessed substantial recent debate over the existence of a dynami...
Philosophers often distinguish between parameter error and model error. Frigg et al. [2014] argue th...
This paper deals with the question of whether uncertainty regarding model structure, especially in c...
Climatology is a paradigmatic complex systems science. Understanding the global climate involves tac...
In a series of recent papers, two of which appeared in this journal, a group of philosophers, physic...
Climatology is a paradigmatic complex systems science. Understanding the global climate involves ta...
In this paper I argue that the appropriate analogy for “understanding what makes simulation results ...
Climate modelling plays a crucial role for understanding and addressing the climate challenge, in te...
Copyright © 2012 The Royal SocietyJournal ArticleThe current threat of global warming and the public...
We argue that typical mechanical systems subjected to a monotonous parameter drift whose timescale i...
Climate change mitigation has become a paradigm case both for externalities in general and for the g...
Includes bibliographical referencesUncertainty in climate system initial conditions (ICs) is known t...
Climate change mitigation has become a paradigm case for both externalities in general and for the g...
To study climate change, scientists employ computer models, which approximate target systems with va...
In this brief report we discuss how continuous changes on the physical parameters that determine the...