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Subjects (47)

Abrupt changes & tipping points (13)

  1. Climate tipping points — too risky to bet against. Nature. 2019 Lenton, Timothy M., Rockström, Johan, Gaffney, Owen, Rahmstorf, Stefan, Richardson, Katherine, Steffen, Will, Schellnhuber, Hans Joachim

    Abrupt changes & tipping points

  2. Numerical Bifurcation Methods applied to Climate Models: Analysis beyond Simulation. 2019 Dijkstra, Henk A.

    Abrupt changes & tipping points

  3. Gaia 2.0. Science. 2018 Lenton, Timothy M., Latour, Bruno

    Abrupt changes & tipping points

  4. Trajectories of the Earth System in the Anthropocene. Proceedings of the National Academy of Sciences. 2018 Steffen, Will, Rockström, Johan, Richardson, Katherine, Lenton, Timothy M., Folke, Carl, Liverman, Diana, Summerhayes, Colin P., Barnosky, Anthony D., Cornell, Sarah E., Crucifix, Michel, Donges, Jonathan F., Fetzer, Ingo, Lade, Steven J., Scheffer, Marten, Winkelmann, Ricarda, Schellnhuber, Hans Joachim

    Abrupt changes & tipping points

  5. Abrupt Climate Change in an Oscillating World. Scientific Reports. 2018 Bathiany, S., Scheffer, M., van Nes, E. H., Williamson, M. S., Lenton, T. M.

    Abrupt changes & tipping points

  6. Risk of multiple interacting tipping points should encourage rapid CO2 emission reduction. Nature Climate Change. 2016 Cai, Yongyang, Lenton, Timothy M., Lontzek, Thomas S.

    Abrupt changes & tipping points

  7. Catalogue of abrupt shifts in Intergovernmental Panel on Climate Change climate models. Proceedings of the National Academy of Sciences. 2015 Drijfhout, Sybren, Bathiany, Sebastian, Beaulieu, Claudie, Brovkin, Victor, Claussen, Martin, Huntingford, Chris, Scheffer, Marten, Sgubin, Giovanni, Swingedouw, Didier

    Abrupt changes & tipping points

  8. Climate change tipping points: origins, precursors, and debates. Wiley Interdisciplinary Reviews: Climate Change. 2015 Russill, Chris

    Abrupt changes & tipping points

  9. Stochastic integrated assessment of climate tipping points indicates the need for strict climate policy. Nature Climate Change. 2015 Lontzek, Thomas S., Cai, Yongyang, Judd, Kenneth L., Lenton, Timothy M.

    Abrupt changes & tipping points

  10. Tipping points in open systems: bifurcation, noise-induced and rate-dependent examples in the climate system. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences. 2012 Ashwin, Peter, Wieczorek, Sebastian, Vitolo, Renato, Cox, Peter

    Abrupt changes & tipping points

  11. 2 °C or not 2 °C? That is the climate question. Nature. 2011 Lenton, Tim

    Abrupt changes & tipping points

  12. Bifurcation Analysis of Ocean, Atmosphere, and Climate Models. Handbook of Numerical Analysis. 2009 Simonnet, Eric, Dijkstra, Henk A., Ghil, Michael

    Abrupt changes & tipping points

  13. Nonlinearities, Feedbacks and Critical Thresholds within the Earth's Climate System. Climatic Change. 2004 Rial, José A., Pielke Sr., Roger A., Beniston, Martin, Claussen, Martin, Canadell, Josep, Cox, Peter, Held, Hermann, de Noblet-Ducoudré, Nathalie, Prinn, Ronald, Reynolds, James F., Salas, José D.

    Abrupt changes & tipping points

Adaptation (2)

  1. Incorporating User Values into Climate Services. Bulletin of the American Meteorological Society. 2019 Parker, Wendy S., Lusk, Greg

    Adaptation Reliability & uncertainty Values

  2. Adaptation to Global Warming: Do Climate Models Tell Us What We Need to Know?. Philosophy of Science. 2010 Oreskes, Naomi, Stainforth, David A., Smith, Leonard A.

    Adaptation Confirmation & evaluation Regional climate modelling Reliability & uncertainty

Adequacy-for-purpose (3)

  1. Model Evaluation: An Adequacy-for-Purpose View. Philosophy of Science. 2020 Parker, Wendy S.

    Adequacy-for-purpose Confirmation & evaluation

  2. Philosophical Perspectives on Earth System Modeling: Truth, Adequacy, and Understanding. Journal of Advances in Modeling Earth Systems. 2020 Gramelsberger, G., Lenhard, J., Parker, W.S.

    Adequacy-for-purpose Confirmation & evaluation Understanding & explanation

  3. Getting (even more) serious about similarity. Biology & Philosophy. 2013 Parker, Wendy S.

    Adequacy-for-purpose Confirmation & evaluation

Attribution (9)

Issues related to the identification of the causes of an observed change in the climate or Earth system.

  1. Severe weather event attribution: Why values won't go away. Studies in History and Philosophy of Science Part A. 2020 Winsberg, Eric, Oreskes, Naomi, Lloyd, Elisabeth

    Attribution Extreme events Values

  2. Environmental catastrophes, climate change, and attribution. Annals of the New York Academy of Sciences. 2020 Lloyd, Elisabeth A., Shepherd, Theodore G.

    Attribution Extreme events Storylines

  3. Establishing causation in climate litigation: admissibility and reliability. Climatic Change. 2019 Pfrommer, Tobias, Goeschl, Timo, Proelss, Alexander, Carrier, Martin, Lenhard, Johannes, Martin, Henrike, Niemeier, Ulrike, Schmidt, Hauke

    Attribution Extreme events Reliability & uncertainty

  4. Climate Change Attribution: When Is It Appropriate to Accept New Methods?. Earth's Future. 2018 Lloyd, Elisabeth A., Oreskes, Naomi

    Attribution Extreme events Storylines

  5. Is the choice of statistical paradigm critical in extreme event attribution studies?. Climatic Change. 2017 Stott, Peter A., Karoly, David J., Zwiers, Francis W.

    Attribution Extreme events Reliability & uncertainty

  6. Empirical Bayes as a Tool. Boston Studies in the Philosophy and History of Science. 2017 Barberousse, Anouk

    Attribution

  7. Computer models and the evidence of anthropogenic climate change: An epistemology of variety-of-evidence inferences and robustness analysis. Studies in History and Philosophy of Science Part A. 2016 Vezér, Martin A.

    Attribution Ensemble methods Robustness

  8. Introduction to the Special Issue on Philosophy and Climate Science. Journal for General Philosophy of Science. 2015 Winsberg, Eric

    Attribution Extreme events Storylines Values

  9. Comparative Process Tracing and Climate Change Fingerprints. Philosophy of Science. 2010 Parker, Wendy S.

    Attribution Confirmation & evaluation Fingerprint studies

Calibration/tuning (8)

  1. Practice and philosophy of climate model tuning across six US modeling centers. Geoscientific Model Development. 2017 Schmidt, Gavin A., Bader, David, Donner, Leo J., Elsaesser, Gregory S., Golaz, Jean-Christophe, Hannay, Cecile, Molod, Andrea, Neale, Richard B., Saha, Suranjana

    Calibration/tuning Confirmation & evaluation Ensemble methods

  2. The Art and Science of Climate Model Tuning. Bulletin of the American Meteorological Society. 2017 Hourdin, Frédéric, Mauritsen, Thorsten, Gettelman, Andrew, Golaz, Jean-Christophe, Balaji, Venkatramani, Duan, Qingyun, Folini, Doris, Ji, Duoying, Klocke, Daniel, Qian, Yun, Rauser, Florian, Rio, Catherine, Tomassini, Lorenzo, Watanabe, Masahiro, Williamson, Daniel

    Calibration/tuning Confirmation & evaluation Parameterization

  3. Model-Selection Theory: The Need for a More Nuanced Picture of Use-Novelty and Double-Counting. The British Journal for the Philosophy of Science. 2016 Steele, Katie, Werndl, Charlotte

    Calibration/tuning Confirmation & evaluation

    Full text
    cites

    Steele 2013 Oreskes 1994

    note

    A discussion regarding double-counting in climate modeling, arguing that the use-novel intuition largely held in the scientific community, that data used in tuning cannot be used in confirmation, is too crude. Steele and Werndl maintain that the prominent logics of confirmation do not, for varying reasons, support this intuitive position in full.

  4. Predictivism and old evidence: a critical look at climate model tuning. European Journal for Philosophy of Science. 2015 Frisch, Mathias

    Calibration/tuning Confirmation & evaluation Confirmational holism

  5. Predictivism and old evidence: a critical look at climate model tuning. European Journal for Philosophy of Science. 2015 Frisch, Mathias

    Calibration/tuning Confirmation & evaluation

  6. A practical philosophy of complex climate modelling. European Journal for Philosophy of Science. 2014 Schmidt, Gavin A., Sherwood, Steven

    Calibration/tuning Confirmation & evaluation

  7. Climate Models, Calibration, and Confirmation. The British Journal for the Philosophy of Science. 2013 Steele, K., Werndl, C.

    Calibration/tuning Confirmation & evaluation

    Full text
    cites

    Knutti 2008 Parker 2010 Parker 2009 Stainforth 2007

    note

    A discussion of the problem of double-counting in climate modeling, specifically when the same evidence is used to both calibrate a model and then confirm the adequacy of the results. Steele and Werndl turn to a Baysian approach to argue for a method of incremental confirmation, making double-counting unproblematic. For a response to this argument see Mathias Frisch’s 2015 paper “Predictivism and old evidence: a critical look at climate model tuning”.

  8. Confidence, uncertainty and decision-support relevance in climate predictions. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences. 2007 Stainforth, D.A, Allen, M.R, Tredger, E.R, Smith, L.A

    Calibration/tuning Decision-making Reliability & uncertainty

Climate & climate change (2)

  1. Issues in the theoretical foundations of climate science. Studies in History and Philosophy of Science Part B: Studies in History and Philosophy of Modern Physics. 2018 Katzav, Joel, Parker, Wendy S.

    Climate & climate change Theoretical foundations Variability

  2. On Defining Climate and Climate Change. The British Journal for the Philosophy of Science. 2015 Werndl, Charlotte

    Climate & climate change Theoretical foundations

    Full text
    cites

    Parker 2006 Smith 2002 Steele 2013

    note

    An outline of the ongoing debate regarding how to properly provide a definition of climate and climate change. Werndl first systematizes the debate by providing five desiderata that a proper definition of climate should follow. Ultimately, a number of candidates for a definition are discussed and Werndl argues that a definition focusing on a distribution over time for regimes of varying external conditions is the most promising as it meets all five desiderata.

Climate change communication (2)

  1. The IPCC and treatment of uncertainties: topics and sources of dissensus. Wiley Interdisciplinary Reviews: Climate Change. 2014 Adler, Carolina E., Hirsch Hadorn, Gertrude

    Climate change communication Communication of uncertainties

  2. Reasoning about climate uncertainty. Climatic Change. 2011 Curry, Judith

    Climate change communication Communication of uncertainties Reliability & uncertainty Values

Communication of uncertainties (14)

  1. Confident, likely, or both? The implementation of the uncertainty language framework in IPCC special reports. Climatic Change. 2020 Janzwood, Scott

    Communication of uncertainties Expert judgement Reliability & uncertainty

  2. Combining probability with qualitative degree-of-certainty metrics in assessment. Climatic Change. 2018 Helgeson, Casey, Bradley, Richard, Hill, Brian

    Communication of uncertainties Reliability & uncertainty

  3. Communicating Uncertainty to Policymakers: The Ineliminable Role of Values. Climate Modelling. 2018 Winsberg, Eric

    Communication of uncertainties Reliability & uncertainty Values

  4. Climate Change Assessments: Confidence, Probability, and Decision. Philosophy of Science. 2017 Bradley, Richard, Helgeson, Casey, Hill, Brian

    Communication of uncertainties Decision-making Reliability & uncertainty

  5. “Agreement” in the IPCC Confidence measure. Studies in History and Philosophy of Science Part B: Studies in History and Philosophy of Modern Physics. 2017 Rehg, William, Staley, Kent

    Communication of uncertainties Expert judgement Reliability & uncertainty

  6. Conceptualizing Uncertainty: An Assessment of the Uncertainty Framework of the Intergovernmental Panel on Climate Change. European Studies in Philosophy of Science. 2017 Wüthrich, Nicolas

    Communication of uncertainties Expert judgement Reliability & uncertainty

  7. False precision, surprise and improved uncertainty assessment. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences. 2015 Parker, Wendy S., Risbey, James S.

    Communication of uncertainties Reliability & uncertainty

  8. The unseen uncertainties in climate change: reviewing comprehension of an IPCC scenario graph. Climatic Change. 2015 McMahon, Rosemarie, Stauffacher, Michael, Knutti, Reto

    Communication of uncertainties Reliability & uncertainty Understanding & explanation

  9. The example of the IPCC does not vindicate the Value Free Ideal: a reply to Gregor Betz. European Journal for Philosophy of Science. 2014 John, Stephen

    Communication of uncertainties Reliability & uncertainty Values

  10. The IPCC and treatment of uncertainties: topics and sources of dissensus. Wiley Interdisciplinary Reviews: Climate Change. 2014 Adler, Carolina E., Hirsch Hadorn, Gertrude

    Climate change communication Communication of uncertainties

  11. How Uncertain Do We Need to Be?. Erkenntnis. 2013 Williamson, Jon

    Communication of uncertainties Expert judgement Probability & possibility Reliability & uncertainty

  12. Uncertainty in science and its role in climate policy. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences. 2011 Smith, Leonard A., Stern, Nicholas

    Communication of uncertainties Decision-making Reliability & uncertainty

  13. Reasoning about climate uncertainty. Climatic Change. 2011 Curry, Judith

    Climate change communication Communication of uncertainties Reliability & uncertainty Values

  14. Quantification of Uncertainties of Future Climate Change: Challenges and Applications. Philosophy of Science. 2010 Mearns, Linda O.

    Communication of uncertainties Decision-making Reliability & uncertainty

Confirmation & evaluation (52)

Issues related to the empirical support and general evaluation of climate models.

  1. Model Evaluation: An Adequacy-for-Purpose View. Philosophy of Science. 2020 Parker, Wendy S.

    Adequacy-for-purpose Confirmation & evaluation

  2. Evidence and Knowledge from Computer Simulation. Erkenntnis. 2020 Parker, Wendy S.

    Confirmation & evaluation Reliability & uncertainty

  3. Philosophical Perspectives on Earth System Modeling: Truth, Adequacy, and Understanding. Journal of Advances in Modeling Earth Systems. 2020 Gramelsberger, G., Lenhard, J., Parker, W.S.

    Adequacy-for-purpose Confirmation & evaluation Understanding & explanation

  4. Climate Models: How to Assess Their Reliability. International Studies in the Philosophy of Science. 2019 Carrier, Martin, Lenhard, Johannes

    Confirmation & evaluation Confirmational holism Robustness

  5. What Types of Values Enter Simulation Validation and What Are Their Roles?. Simulation Foundations, Methods and Applications. 2019 Hirsch Hadorn, Gertrude, Baumberger, Christoph

    Confirmation & evaluation

  6. Holism, or the Erosion of Modularity: A Methodological Challenge for Validation. Philosophy of Science. 2018 Lenhard, Johannes

    Confirmation & evaluation Confirmational holism

  7. What does robustness teach us in climate science: a re-appraisal. Synthese. 2018 Winsberg, Eric

    Confirmation & evaluation Ensemble methods Robustness Values

  8. Climate and Simulation. Oxford Research Encyclopedia of Climate Science. 2018 Gramelsberger, Gabriele

    Confirmation & evaluation

  9. On Rationales for Cognitive Values in the Assessment of Scientific Representations. Journal for General Philosophy of Science. 2018 Hirsch Hadorn, Gertrude

    Confirmation & evaluation

  10. Climate Model Confirmation: From Philosophy to Predicting Climate in the Real World. Climate Modelling. 2018 Knutti, Reto

    Confirmation & evaluation Predictions and projections

  11. The Significance of Robust Climate Projections. Climate Modelling. 2018 Parker, Wendy S.

    Confirmation & evaluation Ensemble methods Reliability & uncertainty Robustness

  12. Practice and philosophy of climate model tuning across six US modeling centers. Geoscientific Model Development. 2017 Schmidt, Gavin A., Bader, David, Donner, Leo J., Elsaesser, Gregory S., Golaz, Jean-Christophe, Hannay, Cecile, Molod, Andrea, Neale, Richard B., Saha, Suranjana

    Calibration/tuning Confirmation & evaluation Ensemble methods

  13. How to develop climate models? The “gamble” of improving climate model parameterizations. Cultures of Prediction in Atmospheric and Climate Science. 2017 Guillemot, Hélène

    Confirmation & evaluation Parameterization

  14. The Art and Science of Climate Model Tuning. Bulletin of the American Meteorological Society. 2017 Hourdin, Frédéric, Mauritsen, Thorsten, Gettelman, Andrew, Golaz, Jean-Christophe, Balaji, Venkatramani, Duan, Qingyun, Folini, Doris, Ji, Duoying, Klocke, Daniel, Qian, Yun, Rauser, Florian, Rio, Catherine, Tomassini, Lorenzo, Watanabe, Masahiro, Williamson, Daniel

    Calibration/tuning Confirmation & evaluation Parameterization

  15. Building confidence in climate model projections: an analysis of inferences from fit. Wiley Interdisciplinary Reviews: Climate Change. 2017 Baumberger, Christoph, Knutti, Reto, Hirsch Hadorn, Gertrude

    Confirmation & evaluation Robustness

  16. The Diversity of Model Tuning Practices in Climate Science. Philosophy of Science. 2016 Steele, Katie, Werndl, Charlotte

    Confirmation & evaluation Confirmational holism

    Full text
    note

    A discussion of what is dubbed the “intuitive position” of calibration and confirmation of climate models. In short, this position states, the tuning of a model directly influences the evaluation of said model, as a result the values used to tune the model cannot be used in the model’s evaluation. Steele and Werndl focus on the diversity of formal calibration methods and how the different perspectives relate to the intuitive position.

  17. Model-Selection Theory: The Need for a More Nuanced Picture of Use-Novelty and Double-Counting. The British Journal for the Philosophy of Science. 2016 Steele, Katie, Werndl, Charlotte

    Calibration/tuning Confirmation & evaluation

    Full text
    cites

    Steele 2013 Oreskes 1994

    note

    A discussion regarding double-counting in climate modeling, arguing that the use-novel intuition largely held in the scientific community, that data used in tuning cannot be used in confirmation, is too crude. Steele and Werndl maintain that the prominent logics of confirmation do not, for varying reasons, support this intuitive position in full.

  18. The adventures of climate science in the sweet land of idle arguments. Studies in History and Philosophy of Science Part B: Studies in History and Philosophy of Modern Physics. 2016 Winsberg, Eric, Goodwin, William Mark

    Confirmation & evaluation Hawkmoth effect

  19. Global Climate Modeling as Applied Science. Journal for General Philosophy of Science. 2015 Goodwin, William M.

    Confirmation & evaluation

  20. The future of climate modeling. Climatic Change. 2015 Katzav, Joel, Parker, Wendy S.

    Confirmation & evaluation

  21. Introduction to Assessing climate models: knowledge, values and policy. European Journal for Philosophy of Science. 2015 Katzav, Joel, Parker, Wendy S.

    Confirmation & evaluation Values

  22. Predictivism and old evidence: a critical look at climate model tuning. European Journal for Philosophy of Science. 2015 Frisch, Mathias

    Calibration/tuning Confirmation & evaluation Confirmational holism

  23. Predictivism and old evidence: a critical look at climate model tuning. European Journal for Philosophy of Science. 2015 Frisch, Mathias

    Calibration/tuning Confirmation & evaluation

  24. Model robustness as a confirmatory virtue: The case of climate science. Studies in History and Philosophy of Science Part A. 2015 Lloyd, Elisabeth A.

    Confirmation & evaluation Robustness Values

  25. A practical philosophy of complex climate modelling. European Journal for Philosophy of Science. 2014 Schmidt, Gavin A., Sherwood, Steven

    Calibration/tuning Confirmation & evaluation

  26. Going back to basics. Nature Climate Change. 2014 Jakob, Christian

    Confirmation & evaluation Hawkmoth effect Theoretical foundations

  27. Simulation and Understanding in the Study of Weather and Climate. Perspectives on Science. 2014 Parker, Wendy S.

    Confirmation & evaluation Understanding & explanation

  28. Values and uncertainties in climate prediction, revisited. Studies in History and Philosophy of Science Part A. 2014 Parker, Wendy

    Confirmation & evaluation Reliability & uncertainty Values

  29. The epistemology of climate models and some of its implications for climate science and the philosophy of science. Studies in History and Philosophy of Science Part B: Studies in History and Philosophy of Modern Physics. 2014 Katzav, Joel

    Confirmation & evaluation Probability & possibility Reliability & uncertainty

  30. Getting (even more) serious about similarity. Biology & Philosophy. 2013 Parker, Wendy S.

    Adequacy-for-purpose Confirmation & evaluation

  31. Severe testing of climate change hypotheses. Studies in History and Philosophy of Science Part B: Studies in History and Philosophy of Modern Physics. 2013 Katzav, Joel

    Confirmation & evaluation

  32. Climate Models, Calibration, and Confirmation. The British Journal for the Philosophy of Science. 2013 Steele, K., Werndl, C.

    Calibration/tuning Confirmation & evaluation

    Full text
    cites

    Knutti 2008 Parker 2010 Parker 2009 Stainforth 2007

    note

    A discussion of the problem of double-counting in climate modeling, specifically when the same evidence is used to both calibrate a model and then confirm the adequacy of the results. Steele and Werndl turn to a Baysian approach to argue for a method of incremental confirmation, making double-counting unproblematic. For a response to this argument see Mathias Frisch’s 2015 paper “Predictivism and old evidence: a critical look at climate model tuning”.

  33. Assessing climate model projections: State of the art and philosophical reflections. Studies in History and Philosophy of Science Part B: Studies in History and Philosophy of Modern Physics. 2012 Katzav, Joel, Dijkstra, Henk A., (Jos) de Laat, A.T.J.

    Confirmation & evaluation Reliability & uncertainty

  34. The role of ‘complex’ empiricism in the debates about satellite data and climate models. Studies in History and Philosophy of Science Part A. 2012 Lloyd, Elisabeth A.

    Confirmation & evaluation Data Robustness

  35. Hybrid Models, Climate Models, and Inference to the Best Explanation. The British Journal for the Philosophy of Science. 2012 Katzav, J.

    Confirmation & evaluation Understanding & explanation

  36. Validation and forecasting accuracy in models of climate change. International Journal of Forecasting. 2011 Fildes, Robert, Kourentzes, Nikolaos

    Confirmation & evaluation

  37. When Climate Models Agree: The Significance of Robust Model Predictions*. Philosophy of Science. 2011 Parker, Wendy S.

    Confirmation & evaluation Ensemble methods Robustness Values

  38. Should we assess climate model predictions in light of severe tests?. Eos, Transactions American Geophysical Union. 2011 Katzav, Joel

    Confirmation & evaluation

  39. Confirmation and Robustness of Climate Models. Philosophy of Science. 2010 Lloyd, Elisabeth A.

    Confirmation & evaluation Robustness

  40. Adaptation to Global Warming: Do Climate Models Tell Us What We Need to Know?. Philosophy of Science. 2010 Oreskes, Naomi, Stainforth, David A., Smith, Leonard A.

    Adaptation Confirmation & evaluation Regional climate modelling Reliability & uncertainty

  41. Comparative Process Tracing and Climate Change Fingerprints. Philosophy of Science. 2010 Parker, Wendy S.

    Attribution Confirmation & evaluation Fingerprint studies

  42. Connections between simulations and observation in climate computer modeling. Scientist’s practices and “bottom-up epistemology” lessons. Studies in History and Philosophy of Science Part B: Studies in History and Philosophy of Modern Physics. 2010 Guillemot, Hélène

    Confirmation & evaluation

  43. Holism, entrenchment, and the future of climate model pluralism. Studies in History and Philosophy of Science Part B: Studies in History and Philosophy of Modern Physics. 2010 Lenhard, Johannes, Winsberg, Eric

    Confirmation & evaluation Confirmational holism

  44. Generation of Evidence in Simulation Runs: Interlinking With Models for Predicting Weather and Climate Change. Simulation & Gaming. 2010 Gramelsberger, Gabriele

    Confirmation & evaluation

  45. I—Elisabeth A. Lloyd: Varieties of Support and Confirmation of Climate Models. Aristotelian Society Supplementary Volume. 2009 Lloyd, Elisabeth A.

    Confirmation & evaluation Robustness Values

  46. II—Wendy S. Parker: Confirmation and adequacy-for-Purpose in Climate Modelling. Aristotelian Society Supplementary Volume. 2009 Parker, Wendy S.

    Confirmation & evaluation Ensemble methods

  47. Does matter really matter? Computer simulations, experiments, and materiality. Synthese. 2008 Parker, Wendy S.

    Confirmation & evaluation Data

  48. Should we believe model predictions of future climate change?. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences. 2008 Knutti, Reto

    Confirmation & evaluation Reliability & uncertainty

  49. Computer simulation through an error-statistical lens. Synthese. 2008 Parker, Wendy S.

    Confirmation & evaluation

  50. Understanding Pluralism in Climate Modeling. Foundations of Science. 2006 Parker, W. S.

    Confirmation & evaluation Ensemble methods Reliability & uncertainty

  51. What might we learn from climate forecasts?. Proceedings of the National Academy of Sciences. 2002 Smith, L. A.

    Confirmation & evaluation Hawkmoth effect

  52. Verification, Validation, and Confirmation of Numerical Models in the Earth Sciences. Science. 1994 Oreskes, N., Shrader-Frechette, K., Belitz, K.

    Confirmation & evaluation Confirmational holism

Confirmational holism (6)

  1. Climate Models: How to Assess Their Reliability. International Studies in the Philosophy of Science. 2019 Carrier, Martin, Lenhard, Johannes

    Confirmation & evaluation Confirmational holism Robustness

  2. Holism, or the Erosion of Modularity: A Methodological Challenge for Validation. Philosophy of Science. 2018 Lenhard, Johannes

    Confirmation & evaluation Confirmational holism

  3. The Diversity of Model Tuning Practices in Climate Science. Philosophy of Science. 2016 Steele, Katie, Werndl, Charlotte

    Confirmation & evaluation Confirmational holism

    Full text
    note

    A discussion of what is dubbed the “intuitive position” of calibration and confirmation of climate models. In short, this position states, the tuning of a model directly influences the evaluation of said model, as a result the values used to tune the model cannot be used in the model’s evaluation. Steele and Werndl focus on the diversity of formal calibration methods and how the different perspectives relate to the intuitive position.

  4. Predictivism and old evidence: a critical look at climate model tuning. European Journal for Philosophy of Science. 2015 Frisch, Mathias

    Calibration/tuning Confirmation & evaluation Confirmational holism

  5. Holism, entrenchment, and the future of climate model pluralism. Studies in History and Philosophy of Science Part B: Studies in History and Philosophy of Modern Physics. 2010 Lenhard, Johannes, Winsberg, Eric

    Confirmation & evaluation Confirmational holism

  6. Verification, Validation, and Confirmation of Numerical Models in the Earth Sciences. Science. 1994 Oreskes, N., Shrader-Frechette, K., Belitz, K.

    Confirmation & evaluation Confirmational holism

Data (11)

Issues related to the nature and role of climate data.

  1. Argument-based assessment of predictive uncertainty of data-driven environmental models. Environmental Modelling & Software. 2020 Knüsel, Benedikt, Baumberger, Christoph, Zumwald, Marius, Bresch, David N., Knutti, Reto

    Data Reliability & uncertainty

  2. Evaluating Data Journeys: Climategate, Synthetic Data and the Benchmarking of Methods for Climate Data Processing. Data Journeys in the Sciences. 2020 Parker, Wendy S.

    Data Datasets Reanalysis

  3. Applying big data beyond small problems in climate research. Nature Climate Change. 2019 Knüsel, Benedikt, Zumwald, Marius, Baumberger, Christoph, Hirsch Hadorn, Gertrude, Fischer, Erich M., Bresch, David N., Knutti, Reto

    Data

  4. Reply to “Comments on ‘Reanalyses and Observations: What’s the Difference?’”. Bulletin of the American Meteorological Society. 2017 Parker, Wendy S.

    Data Reanalysis Reliability & uncertainty

  5. Computer Simulation, Measurement, and Data Assimilation. The British Journal for the Philosophy of Science. 2017 Parker, Wendy S.

    Data

  6. Reanalyses and Observations: What’s the Difference?. Bulletin of the American Meteorological Society. 2016 Parker, Wendy S.

    Data Reanalysis Reliability & uncertainty

  7. Variety-of-evidence reasoning about the distant past. European Journal for Philosophy of Science. 2016 Vezér, Martin A.

    Data Proxies

  8. Climate Science Controversies and the Demand for Access to Empirical Data. Philosophy of Science. 2012 McAllister, James W.

    Data Values

  9. The role of ‘complex’ empiricism in the debates about satellite data and climate models. Studies in History and Philosophy of Science Part A. 2012 Lloyd, Elisabeth A.

    Confirmation & evaluation Data Robustness

  10. An Instrument for What? Digital Computers, Simulation and Scientific Practice. Spontaneous Generations: A Journal for the History and Philosophy of Science. 2010 Parker, Wendy S.

    Data

  11. Does matter really matter? Computer simulations, experiments, and materiality. Synthese. 2008 Parker, Wendy S.

    Confirmation & evaluation Data

Datasets (1)

  1. Evaluating Data Journeys: Climategate, Synthetic Data and the Benchmarking of Methods for Climate Data Processing. Data Journeys in the Sciences. 2020 Parker, Wendy S.

    Data Datasets Reanalysis

Decision-making (10)

Decision-theoretic issues in the context of climate change.

  1. Why Simpler Computer Simulation Models Can Be Epistemically Better for Informing Decisions. Philosophy of Science. 2020 Helgeson, Casey, Srikrishnan, Vivek, Keller, Klaus, Tuana, Nancy

    Decision-making

  2. Structuring Decisions Under Deep Uncertainty. Topoi. 2018 Helgeson, Casey

    Decision-making

  3. Climate Change Assessments: Confidence, Probability, and Decision. Philosophy of Science. 2017 Bradley, Richard, Helgeson, Casey, Hill, Brian

    Communication of uncertainties Decision-making Reliability & uncertainty

  4. Making Climate Decisions. Philosophy Compass. 2015 Bradley, Richard, Steele, Katie

    Decision-making Reliability & uncertainty

  5. Decision strategies for policy decisions under uncertainties: The case of mitigation measures addressing methane emissions from ruminants. Environmental Science & Policy. 2015 Hirsch Hadorn, Gertrude, Brun, Georg, Soliva, Carla Riccarda, Stenke, Andrea, Peter, Thomas

    Decision-making

  6. Model uncertainty and policy choice: A plea for integrated subjectivism. Studies in History and Philosophy of Science Part A. 2014 Isaac, Alistair M.C.

    Decision-making Reliability & uncertainty Values

  7. The Scientist qua Policy Advisor Makes Value Judgments. Philosophy of Science. 2012 Steele, Katie

    Decision-making Values

  8. Uncertainty in science and its role in climate policy. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences. 2011 Smith, Leonard A., Stern, Nicholas

    Communication of uncertainties Decision-making Reliability & uncertainty

  9. Quantification of Uncertainties of Future Climate Change: Challenges and Applications. Philosophy of Science. 2010 Mearns, Linda O.

    Communication of uncertainties Decision-making Reliability & uncertainty

  10. Confidence, uncertainty and decision-support relevance in climate predictions. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences. 2007 Stainforth, D.A, Allen, M.R, Tredger, E.R, Smith, L.A

    Calibration/tuning Decision-making Reliability & uncertainty

Ensemble methods (19)

  1. Multi-model ensembles in climate science: Mathematical structures and expert judgements. Studies in History and Philosophy of Science Part A. 2020 Jebeile, Julie, Crucifix, Michel

    Ensemble methods

  2. Understanding and assessing uncertainty of observational climate datasets for model evaluation using ensembles. WIREs Climate Change. 2020 Zumwald, Marius, Knüsel, Benedikt, Baumberger, Christoph, Hirsch Hadorn, Gertrude, Bresch, David N., Knutti, Reto

    Ensemble methods Reliability & uncertainty

  3. The Coupled Model Intercomparison Project: History, uses, and structural effects on climate research. WIREs Climate Change. 2020 Touzé‐Peiffer, Ludovic, Barberousse, Anouk, Le Treut, Hervé

    Ensemble methods

  4. Uncertainty Quantification Using Multiple Models—Prospects and Challenges. Simulation Foundations, Methods and Applications. 2019 Knutti, Reto, Baumberger, Christoph, Hirsch Hadorn, Gertrude

    Ensemble methods Reliability & uncertainty

  5. What does robustness teach us in climate science: a re-appraisal. Synthese. 2018 Winsberg, Eric

    Confirmation & evaluation Ensemble methods Robustness Values

  6. The Significance of Robust Climate Projections. Climate Modelling. 2018 Parker, Wendy S.

    Confirmation & evaluation Ensemble methods Reliability & uncertainty Robustness

  7. Practice and philosophy of climate model tuning across six US modeling centers. Geoscientific Model Development. 2017 Schmidt, Gavin A., Bader, David, Donner, Leo J., Elsaesser, Gregory S., Golaz, Jean-Christophe, Hannay, Cecile, Molod, Andrea, Neale, Richard B., Saha, Suranjana

    Calibration/tuning Confirmation & evaluation Ensemble methods

  8. Computer models and the evidence of anthropogenic climate change: An epistemology of variety-of-evidence inferences and robustness analysis. Studies in History and Philosophy of Science Part A. 2016 Vezér, Martin A.

    Attribution Ensemble methods Robustness

  9. Uncertainties, Plurality, and Robustness in Climate Research and Modeling: On the Reliability of Climate Prognoses. Journal for General Philosophy of Science. 2015 Leuschner, Anna

    Ensemble methods Reliability & uncertainty Robustness

  10. MODEL ERROR AND ENSEMBLE FORECASTING: A CAUTIONARY TALE. Scientific Explanation and Methodology of Science. 2014 BRADLEY, SEAMUS, FRIGG, ROMAN, DU, HAILIANG, SMITH, LEONARD A.

    Ensemble methods Reliability & uncertainty

  11. Ensemble modeling, uncertainty and robust predictions. Wiley Interdisciplinary Reviews: Climate Change. 2013 Parker, Wendy S.

    Ensemble methods Reliability & uncertainty Robustness

  12. Robustness and uncertainties in the new CMIP5 climate model projections. Nature Climate Change. 2012 Knutti, Reto, Sedláček, Jan

    Ensemble methods Reliability & uncertainty Robustness

  13. Mapping model agreement on future climate projections. Geophysical Research Letters. 2011 Tebaldi, Claudia, Arblaster, Julie M., Knutti, Reto

    Ensemble methods Predictions and projections Reliability & uncertainty Robustness

  14. When Climate Models Agree: The Significance of Robust Model Predictions*. Philosophy of Science. 2011 Parker, Wendy S.

    Confirmation & evaluation Ensemble methods Robustness Values

  15. Whose Probabilities? Predicting Climate Change with Ensembles of Models. Philosophy of Science. 2010 Parker, Wendy S.

    Ensemble methods Probability & possibility Reliability & uncertainty

  16. Predicting weather and climate: Uncertainty, ensembles and probability. Studies in History and Philosophy of Science Part B: Studies in History and Philosophy of Modern Physics. 2010 Parker, Wendy S.

    Ensemble methods Probability & possibility Reliability & uncertainty

  17. Underdetermination, Model-ensembles and Surprises: On the Epistemology of Scenario-analysis in Climatology. Journal for General Philosophy of Science. 2009 Betz, Gregor

    Ensemble methods Reliability & uncertainty

  18. II—Wendy S. Parker: Confirmation and adequacy-for-Purpose in Climate Modelling. Aristotelian Society Supplementary Volume. 2009 Parker, Wendy S.

    Confirmation & evaluation Ensemble methods

  19. Understanding Pluralism in Climate Modeling. Foundations of Science. 2006 Parker, W. S.

    Confirmation & evaluation Ensemble methods Reliability & uncertainty

Expert judgement (6)

  1. Confident, likely, or both? The implementation of the uncertainty language framework in IPCC special reports. Climatic Change. 2020 Janzwood, Scott

    Communication of uncertainties Expert judgement Reliability & uncertainty

  2. “Agreement” in the IPCC Confidence measure. Studies in History and Philosophy of Science Part B: Studies in History and Philosophy of Modern Physics. 2017 Rehg, William, Staley, Kent

    Communication of uncertainties Expert judgement Reliability & uncertainty

  3. Conceptualizing Uncertainty: An Assessment of the Uncertainty Framework of the Intergovernmental Panel on Climate Change. European Studies in Philosophy of Science. 2017 Wüthrich, Nicolas

    Communication of uncertainties Expert judgement Reliability & uncertainty

  4. Expert Judgment for Climate Change Adaptation. Philosophy of Science. 2016 Thompson, Erica, Frigg, Roman, Helgeson, Casey

    Expert judgement Reliability & uncertainty

  5. How Uncertain Do We Need to Be?. Erkenntnis. 2013 Williamson, Jon

    Communication of uncertainties Expert judgement Probability & possibility Reliability & uncertainty

  6. The Scientific Consensus on Climate Change. Science. 2004 Oreskes, Naomi

    Expert judgement Reliability & uncertainty

Extreme events (6)

  1. Severe weather event attribution: Why values won't go away. Studies in History and Philosophy of Science Part A. 2020 Winsberg, Eric, Oreskes, Naomi, Lloyd, Elisabeth

    Attribution Extreme events Values

  2. Environmental catastrophes, climate change, and attribution. Annals of the New York Academy of Sciences. 2020 Lloyd, Elisabeth A., Shepherd, Theodore G.

    Attribution Extreme events Storylines

  3. Establishing causation in climate litigation: admissibility and reliability. Climatic Change. 2019 Pfrommer, Tobias, Goeschl, Timo, Proelss, Alexander, Carrier, Martin, Lenhard, Johannes, Martin, Henrike, Niemeier, Ulrike, Schmidt, Hauke

    Attribution Extreme events Reliability & uncertainty

  4. Climate Change Attribution: When Is It Appropriate to Accept New Methods?. Earth's Future. 2018 Lloyd, Elisabeth A., Oreskes, Naomi

    Attribution Extreme events Storylines

  5. Is the choice of statistical paradigm critical in extreme event attribution studies?. Climatic Change. 2017 Stott, Peter A., Karoly, David J., Zwiers, Francis W.

    Attribution Extreme events Reliability & uncertainty

  6. Introduction to the Special Issue on Philosophy and Climate Science. Journal for General Philosophy of Science. 2015 Winsberg, Eric

    Attribution Extreme events Storylines Values

Fingerprint studies (1)

  1. Comparative Process Tracing and Climate Change Fingerprints. Philosophy of Science. 2010 Parker, Wendy S.

    Attribution Confirmation & evaluation Fingerprint studies

Hawkmoth effect (11)

  1. An antidote for hawkmoths: on the prevalence of structural chaos in non-linear modeling. European Journal for Philosophy of Science. 2019 Nabergall, Lukas, Navas, Alejandro, Winsberg, Eric

    Hawkmoth effect Reliability & uncertainty

  2. Initial-Condition Dependence and Initial-Condition Uncertainty in Climate Science. The British Journal for the Philosophy of Science. 2018 Werndl, Charlotte

    Hawkmoth effect Reliability & uncertainty Theoretical foundations

    Full text
    cites

    Betz 2009 Katzav 2014 Parker 2010 Parker 2017 Stainforth 2007 Thompson 2016 Winsberg 2018 Winsberg 2016

    note

    An outline of predictions and projections in climate science through the lens of initial-condition dependence and initial-condition uncertainty. During the discussion of uncertainty, Werndl outlines two types which had not been discussed to much extent in the philosophical community. This new insight leads to many conclusions throughout the entirety of the paper.

  3. Missing the Forest for the Fish: How Much Does the ‘Hawkmoth Effect’ Threaten the Viability of Climate Projections?. Philosophy of Science. 2016 Goodwin, William M., Winsberg, Eric

    Hawkmoth effect Reliability & uncertainty

  4. The adventures of climate science in the sweet land of idle arguments. Studies in History and Philosophy of Science Part B: Studies in History and Philosophy of Modern Physics. 2016 Winsberg, Eric, Goodwin, William Mark

    Confirmation & evaluation Hawkmoth effect

  5. Structural Chaos. Philosophy of Science. 2015 Mayo-Wilson, Conor

    Hawkmoth effect

  6. Going back to basics. Nature Climate Change. 2014 Jakob, Christian

    Confirmation & evaluation Hawkmoth effect Theoretical foundations

  7. Laplace’s Demon and the Adventures of His Apprentices. Philosophy of Science. 2014 Frigg, Roman, Bradley, Seamus, Du, Hailiang, Smith, Leonard A.

    Hawkmoth effect Reliability & uncertainty

  8. The Myopia of Imperfect Climate Models: The Case of UKCP09. Philosophy of Science. 2013 Frigg, Roman, Smith, Leonard A., Stainforth, David A.

    Hawkmoth effect Reliability & uncertainty

  9. Probabilistic Forecasting: Why Model Imperfection Is a Poison Pill. New Challenges to Philosophy of Science. 2013 Frigg, Roman, Bradley, Seamus, Machete, Reason L., Smith, Leonard A.

    Hawkmoth effect Reliability & uncertainty

  10. Irreducible imprecision in atmospheric and oceanic simulations. Proceedings of the National Academy of Sciences. 2007 McWilliams, J. C.

    Hawkmoth effect Theoretical foundations

  11. What might we learn from climate forecasts?. Proceedings of the National Academy of Sciences. 2002 Smith, L. A.

    Confirmation & evaluation Hawkmoth effect

Inductive risk (3)

  1. Why the Argument from Inductive Risk Doesn’t Justify Incorporating Non-Epistemic Values in Scientific Reasoning. Current Controversies in Values and Science. 2017 Betz, Gregor

    Inductive risk Values

  2. The Risk of Using Inductive Risk to Challenge the Value-Free Ideal. Philosophy of Science. 2016 de Melo-Martín, Inmaculada, Intemann, Kristen

    Inductive risk Values

  3. Values and Objectivity in Science: Value-Ladenness, Pluralism and the Epistemic Attitude. Science & Education. 2012 Carrier, Martin

    Inductive risk Value-free ideal Values

Parameterization (2)

  1. How to develop climate models? The “gamble” of improving climate model parameterizations. Cultures of Prediction in Atmospheric and Climate Science. 2017 Guillemot, Hélène

    Confirmation & evaluation Parameterization

  2. The Art and Science of Climate Model Tuning. Bulletin of the American Meteorological Society. 2017 Hourdin, Frédéric, Mauritsen, Thorsten, Gettelman, Andrew, Golaz, Jean-Christophe, Balaji, Venkatramani, Duan, Qingyun, Folini, Doris, Ji, Duoying, Klocke, Daniel, Qian, Yun, Rauser, Florian, Rio, Catherine, Tomassini, Lorenzo, Watanabe, Masahiro, Williamson, Daniel

    Calibration/tuning Confirmation & evaluation Parameterization

Predictions and projections (4)

  1. Climate Model Confirmation: From Philosophy to Predicting Climate in the Real World. Climate Modelling. 2018 Knutti, Reto

    Confirmation & evaluation Predictions and projections

  2. Objectivity and a comparison of methodological scenario approaches for climate change research. Synthese. 2013 Lloyd, Elisabeth A., Schweizer, Vanessa J.

    Predictions and projections

  3. Values and Uncertainties in the Predictions of Global Climate Models. Kennedy Institute of Ethics Journal. 2012 Winsberg, Eric

    Predictions and projections Reliability & uncertainty Values

  4. Mapping model agreement on future climate projections. Geophysical Research Letters. 2011 Tebaldi, Claudia, Arblaster, Julie M., Knutti, Reto

    Ensemble methods Predictions and projections Reliability & uncertainty Robustness

Probability & possibility (8)

  1. Values and evidence: how models make a difference. European Journal for Philosophy of Science. 2017 Parker, Wendy S., Winsberg, Eric

    Probability & possibility Reliability & uncertainty Values

  2. Accounting for Possibilities in Decision Making. Logic, Argumentation & Reasoning. 2016 Betz, Gregor

    Probability & possibility Reliability & uncertainty

  3. Are climate models credible worlds? Prospects and limitations of possibilistic climate prediction. European Journal for Philosophy of Science. 2015 Betz, Gregor

    Probability & possibility Reliability & uncertainty

  4. The epistemology of climate models and some of its implications for climate science and the philosophy of science. Studies in History and Philosophy of Science Part B: Studies in History and Philosophy of Modern Physics. 2014 Katzav, Joel

    Confirmation & evaluation Probability & possibility Reliability & uncertainty

  5. How Uncertain Do We Need to Be?. Erkenntnis. 2013 Williamson, Jon

    Communication of uncertainties Expert judgement Probability & possibility Reliability & uncertainty

  6. Whose Probabilities? Predicting Climate Change with Ensembles of Models. Philosophy of Science. 2010 Parker, Wendy S.

    Ensemble methods Probability & possibility Reliability & uncertainty

  7. Predicting weather and climate: Uncertainty, ensembles and probability. Studies in History and Philosophy of Science Part B: Studies in History and Philosophy of Modern Physics. 2010 Parker, Wendy S.

    Ensemble methods Probability & possibility Reliability & uncertainty

  8. Probabilities in climate policy advice: a critical comment. Climatic Change. 2007 Betz, Gregor

    Probability & possibility Reliability & uncertainty

Proxies (1)

  1. Variety-of-evidence reasoning about the distant past. European Journal for Philosophy of Science. 2016 Vezér, Martin A.

    Data Proxies

Reanalysis (3)

  1. Evaluating Data Journeys: Climategate, Synthetic Data and the Benchmarking of Methods for Climate Data Processing. Data Journeys in the Sciences. 2020 Parker, Wendy S.

    Data Datasets Reanalysis

  2. Reply to “Comments on ‘Reanalyses and Observations: What’s the Difference?’”. Bulletin of the American Meteorological Society. 2017 Parker, Wendy S.

    Data Reanalysis Reliability & uncertainty

  3. Reanalyses and Observations: What’s the Difference?. Bulletin of the American Meteorological Society. 2016 Parker, Wendy S.

    Data Reanalysis Reliability & uncertainty

Regional climate modelling (3)

  1. Understanding climate change with statistical downscaling and machine learning. Synthese. 2020 Jebeile, Julie, Lam, Vincent, Räz, Tim

    Regional climate modelling Understanding & explanation

  2. An assessment of the foundational assumptions in high-resolution climate projections: the case of UKCP09. Synthese. 2015 Frigg, Roman, Smith, Leonard A., Stainforth, David A.

    Regional climate modelling Reliability & uncertainty

  3. Adaptation to Global Warming: Do Climate Models Tell Us What We Need to Know?. Philosophy of Science. 2010 Oreskes, Naomi, Stainforth, David A., Smith, Leonard A.

    Adaptation Confirmation & evaluation Regional climate modelling Reliability & uncertainty

Reliability & uncertainty (65)

Issues related to the trustworthiness of the future climate projections and to the characterization of the related uncertainties.

  1. Numerical instability and dynamical systems. European Journal for Philosophy of Science. 2021 Ardourel, Vincent, Jebeile, Julie

    Reliability & uncertainty

  2. Argument-based assessment of predictive uncertainty of data-driven environmental models. Environmental Modelling & Software. 2020 Knüsel, Benedikt, Baumberger, Christoph, Zumwald, Marius, Bresch, David N., Knutti, Reto

    Data Reliability & uncertainty

  3. Uncertainties, Values, and Climate Targets. Philosophy of Science. 2020 Frisch, Mathias

    Reliability & uncertainty Values

  4. Understanding and assessing uncertainty of observational climate datasets for model evaluation using ensembles. WIREs Climate Change. 2020 Zumwald, Marius, Knüsel, Benedikt, Baumberger, Christoph, Hirsch Hadorn, Gertrude, Bresch, David N., Knutti, Reto

    Ensemble methods Reliability & uncertainty

  5. Confident, likely, or both? The implementation of the uncertainty language framework in IPCC special reports. Climatic Change. 2020 Janzwood, Scott

    Communication of uncertainties Expert judgement Reliability & uncertainty

  6. Evidence and Knowledge from Computer Simulation. Erkenntnis. 2020 Parker, Wendy S.

    Confirmation & evaluation Reliability & uncertainty

  7. Incorporating User Values into Climate Services. Bulletin of the American Meteorological Society. 2019 Parker, Wendy S., Lusk, Greg

    Adaptation Reliability & uncertainty Values

  8. An antidote for hawkmoths: on the prevalence of structural chaos in non-linear modeling. European Journal for Philosophy of Science. 2019 Nabergall, Lukas, Navas, Alejandro, Winsberg, Eric

    Hawkmoth effect Reliability & uncertainty

  9. Establishing causation in climate litigation: admissibility and reliability. Climatic Change. 2019 Pfrommer, Tobias, Goeschl, Timo, Proelss, Alexander, Carrier, Martin, Lenhard, Johannes, Martin, Henrike, Niemeier, Ulrike, Schmidt, Hauke

    Attribution Extreme events Reliability & uncertainty

  10. Uncertainty Quantification Using Multiple Models—Prospects and Challenges. Simulation Foundations, Methods and Applications. 2019 Knutti, Reto, Baumberger, Christoph, Hirsch Hadorn, Gertrude

    Ensemble methods Reliability & uncertainty

  11. Combining probability with qualitative degree-of-certainty metrics in assessment. Climatic Change. 2018 Helgeson, Casey, Bradley, Richard, Hill, Brian

    Communication of uncertainties Reliability & uncertainty

  12. Initial-Condition Dependence and Initial-Condition Uncertainty in Climate Science. The British Journal for the Philosophy of Science. 2018 Werndl, Charlotte

    Hawkmoth effect Reliability & uncertainty Theoretical foundations

    Full text
    cites

    Betz 2009 Katzav 2014 Parker 2010 Parker 2017 Stainforth 2007 Thompson 2016 Winsberg 2018 Winsberg 2016

    note

    An outline of predictions and projections in climate science through the lens of initial-condition dependence and initial-condition uncertainty. During the discussion of uncertainty, Werndl outlines two types which had not been discussed to much extent in the philosophical community. This new insight leads to many conclusions throughout the entirety of the paper.

  13. Modeling Climate Policies: The Social Cost of Carbon and Uncertainties in Climate Predictions. Climate Modelling. 2018 Frisch, Mathias

    Reliability & uncertainty

  14. The Significance of Robust Climate Projections. Climate Modelling. 2018 Parker, Wendy S.

    Confirmation & evaluation Ensemble methods Reliability & uncertainty Robustness

  15. Communicating Uncertainty to Policymakers: The Ineliminable Role of Values. Climate Modelling. 2018 Winsberg, Eric

    Communication of uncertainties Reliability & uncertainty Values

  16. Reply to “Comments on ‘Reanalyses and Observations: What’s the Difference?’”. Bulletin of the American Meteorological Society. 2017 Parker, Wendy S.

    Data Reanalysis Reliability & uncertainty

  17. Is the choice of statistical paradigm critical in extreme event attribution studies?. Climatic Change. 2017 Stott, Peter A., Karoly, David J., Zwiers, Francis W.

    Attribution Extreme events Reliability & uncertainty

  18. Facing the Credibility Crisis of Science: On the Ambivalent Role of Pluralism in Establishing Relevance and Reliability. Perspectives on Science. 2017 Carrier, Martin

    Reliability & uncertainty

  19. Values and evidence: how models make a difference. European Journal for Philosophy of Science. 2017 Parker, Wendy S., Winsberg, Eric

    Probability & possibility Reliability & uncertainty Values

  20. Climate Change Assessments: Confidence, Probability, and Decision. Philosophy of Science. 2017 Bradley, Richard, Helgeson, Casey, Hill, Brian

    Communication of uncertainties Decision-making Reliability & uncertainty

  21. “Agreement” in the IPCC Confidence measure. Studies in History and Philosophy of Science Part B: Studies in History and Philosophy of Modern Physics. 2017 Rehg, William, Staley, Kent

    Communication of uncertainties Expert judgement Reliability & uncertainty

  22. Conceptualizing Uncertainty: An Assessment of the Uncertainty Framework of the Intergovernmental Panel on Climate Change. European Studies in Philosophy of Science. 2017 Wüthrich, Nicolas

    Communication of uncertainties Expert judgement Reliability & uncertainty

  23. Missing the Forest for the Fish: How Much Does the ‘Hawkmoth Effect’ Threaten the Viability of Climate Projections?. Philosophy of Science. 2016 Goodwin, William M., Winsberg, Eric

    Hawkmoth effect Reliability & uncertainty

  24. Expert Judgment for Climate Change Adaptation. Philosophy of Science. 2016 Thompson, Erica, Frigg, Roman, Helgeson, Casey

    Expert judgement Reliability & uncertainty

  25. Reanalyses and Observations: What’s the Difference?. Bulletin of the American Meteorological Society. 2016 Parker, Wendy S.

    Data Reanalysis Reliability & uncertainty

  26. Accounting for Possibilities in Decision Making. Logic, Argumentation & Reasoning. 2016 Betz, Gregor

    Probability & possibility Reliability & uncertainty

  27. False precision, surprise and improved uncertainty assessment. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences. 2015 Parker, Wendy S., Risbey, James S.

    Communication of uncertainties Reliability & uncertainty

  28. Environmental Science. In Gardiner, Stephen M., Thompson, Allen Oxford Handbooks Online. 2015 Parker, Wendy

    Reliability & uncertainty Values

  29. Making Climate Decisions. Philosophy Compass. 2015 Bradley, Richard, Steele, Katie

    Decision-making Reliability & uncertainty

  30. The unseen uncertainties in climate change: reviewing comprehension of an IPCC scenario graph. Climatic Change. 2015 McMahon, Rosemarie, Stauffacher, Michael, Knutti, Reto

    Communication of uncertainties Reliability & uncertainty Understanding & explanation

  31. Uncertainties, Plurality, and Robustness in Climate Research and Modeling: On the Reliability of Climate Prognoses. Journal for General Philosophy of Science. 2015 Leuschner, Anna

    Ensemble methods Reliability & uncertainty Robustness

  32. An assessment of the foundational assumptions in high-resolution climate projections: the case of UKCP09. Synthese. 2015 Frigg, Roman, Smith, Leonard A., Stainforth, David A.

    Regional climate modelling Reliability & uncertainty

  33. Are climate models credible worlds? Prospects and limitations of possibilistic climate prediction. European Journal for Philosophy of Science. 2015 Betz, Gregor

    Probability & possibility Reliability & uncertainty

  34. Climate Simulations: Uncertain Projections for an Uncertain World. Journal for General Philosophy of Science. 2014 Hillerbrand, Rafaela

    Reliability & uncertainty

  35. Model uncertainty and policy choice: A plea for integrated subjectivism. Studies in History and Philosophy of Science Part A. 2014 Isaac, Alistair M.C.

    Decision-making Reliability & uncertainty Values

  36. The example of the IPCC does not vindicate the Value Free Ideal: a reply to Gregor Betz. European Journal for Philosophy of Science. 2014 John, Stephen

    Communication of uncertainties Reliability & uncertainty Values

  37. Values and uncertainties in climate prediction, revisited. Studies in History and Philosophy of Science Part A. 2014 Parker, Wendy

    Confirmation & evaluation Reliability & uncertainty Values

  38. The epistemology of climate models and some of its implications for climate science and the philosophy of science. Studies in History and Philosophy of Science Part B: Studies in History and Philosophy of Modern Physics. 2014 Katzav, Joel

    Confirmation & evaluation Probability & possibility Reliability & uncertainty

  39. MODEL ERROR AND ENSEMBLE FORECASTING: A CAUTIONARY TALE. Scientific Explanation and Methodology of Science. 2014 BRADLEY, SEAMUS, FRIGG, ROMAN, DU, HAILIANG, SMITH, LEONARD A.

    Ensemble methods Reliability & uncertainty

  40. Laplace’s Demon and the Adventures of His Apprentices. Philosophy of Science. 2014 Frigg, Roman, Bradley, Seamus, Du, Hailiang, Smith, Leonard A.

    Hawkmoth effect Reliability & uncertainty

  41. The Myopia of Imperfect Climate Models: The Case of UKCP09. Philosophy of Science. 2013 Frigg, Roman, Smith, Leonard A., Stainforth, David A.

    Hawkmoth effect Reliability & uncertainty

  42. Values and Uncertainty in Simulation Models. Erkenntnis. 2013 Morrison, Margaret

    Reliability & uncertainty Values

  43. How Uncertain Do We Need to Be?. Erkenntnis. 2013 Williamson, Jon

    Communication of uncertainties Expert judgement Probability & possibility Reliability & uncertainty

  44. Ensemble modeling, uncertainty and robust predictions. Wiley Interdisciplinary Reviews: Climate Change. 2013 Parker, Wendy S.

    Ensemble methods Reliability & uncertainty Robustness

  45. Probabilistic Forecasting: Why Model Imperfection Is a Poison Pill. New Challenges to Philosophy of Science. 2013 Frigg, Roman, Bradley, Seamus, Machete, Reason L., Smith, Leonard A.

    Hawkmoth effect Reliability & uncertainty

  46. Assessing climate model projections: State of the art and philosophical reflections. Studies in History and Philosophy of Science Part B: Studies in History and Philosophy of Modern Physics. 2012 Katzav, Joel, Dijkstra, Henk A., (Jos) de Laat, A.T.J.

    Confirmation & evaluation Reliability & uncertainty

  47. Robustness and uncertainties in the new CMIP5 climate model projections. Nature Climate Change. 2012 Knutti, Reto, Sedláček, Jan

    Ensemble methods Reliability & uncertainty Robustness

  48. The key role of causal explanation in the climate change issue. THEORIA. An International Journal for Theory, History and Foundations of Science. 2012 Pongiglione, Francesca

    Reliability & uncertainty Understanding & explanation

  49. Values and Uncertainties in the Predictions of Global Climate Models. Kennedy Institute of Ethics Journal. 2012 Winsberg, Eric

    Predictions and projections Reliability & uncertainty Values

  50. Uncertainty in science and its role in climate policy. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences. 2011 Smith, Leonard A., Stern, Nicholas

    Communication of uncertainties Decision-making Reliability & uncertainty

  51. Mapping model agreement on future climate projections. Geophysical Research Letters. 2011 Tebaldi, Claudia, Arblaster, Julie M., Knutti, Reto

    Ensemble methods Predictions and projections Reliability & uncertainty Robustness

  52. Reasoning about climate uncertainty. Climatic Change. 2011 Curry, Judith

    Climate change communication Communication of uncertainties Reliability & uncertainty Values

  53. Climate Change and Policy. 2011 Unknown

    Reliability & uncertainty

  54. Quantification of Uncertainties of Future Climate Change: Challenges and Applications. Philosophy of Science. 2010 Mearns, Linda O.

    Communication of uncertainties Decision-making Reliability & uncertainty

  55. Adaptation to Global Warming: Do Climate Models Tell Us What We Need to Know?. Philosophy of Science. 2010 Oreskes, Naomi, Stainforth, David A., Smith, Leonard A.

    Adaptation Confirmation & evaluation Regional climate modelling Reliability & uncertainty

  56. Whose Probabilities? Predicting Climate Change with Ensembles of Models. Philosophy of Science. 2010 Parker, Wendy S.

    Ensemble methods Probability & possibility Reliability & uncertainty

  57. Predicting weather and climate: Uncertainty, ensembles and probability. Studies in History and Philosophy of Science Part B: Studies in History and Philosophy of Modern Physics. 2010 Parker, Wendy S.

    Ensemble methods Probability & possibility Reliability & uncertainty

  58. Conceiving Meteorology as the exact science of the atmosphere: Vilhelm Bjerknes's paper of 1904 as a milestone. Meteorologische Zeitschrift. 2009 Gramelsberger, Gabriele

    Reliability & uncertainty

  59. Underdetermination, Model-ensembles and Surprises: On the Epistemology of Scenario-analysis in Climatology. Journal for General Philosophy of Science. 2009 Betz, Gregor

    Ensemble methods Reliability & uncertainty

  60. What range of future scenarios should climate policy be based on? Modal falsificationism and its limitations. Philosophia Naturalis. 2009 Betz, Gregor

    Reliability & uncertainty

  61. Should we believe model predictions of future climate change?. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences. 2008 Knutti, Reto

    Confirmation & evaluation Reliability & uncertainty

  62. Probabilities in climate policy advice: a critical comment. Climatic Change. 2007 Betz, Gregor

    Probability & possibility Reliability & uncertainty

  63. Confidence, uncertainty and decision-support relevance in climate predictions. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences. 2007 Stainforth, D.A, Allen, M.R, Tredger, E.R, Smith, L.A

    Calibration/tuning Decision-making Reliability & uncertainty

  64. Understanding Pluralism in Climate Modeling. Foundations of Science. 2006 Parker, W. S.

    Confirmation & evaluation Ensemble methods Reliability & uncertainty

  65. The Scientific Consensus on Climate Change. Science. 2004 Oreskes, Naomi

    Expert judgement Reliability & uncertainty

Robustness (14)

  1. Climate Models: How to Assess Their Reliability. International Studies in the Philosophy of Science. 2019 Carrier, Martin, Lenhard, Johannes

    Confirmation & evaluation Confirmational holism Robustness

  2. What does robustness teach us in climate science: a re-appraisal. Synthese. 2018 Winsberg, Eric

    Confirmation & evaluation Ensemble methods Robustness Values

  3. The Significance of Robust Climate Projections. Climate Modelling. 2018 Parker, Wendy S.

    Confirmation & evaluation Ensemble methods Reliability & uncertainty Robustness

  4. Building confidence in climate model projections: an analysis of inferences from fit. Wiley Interdisciplinary Reviews: Climate Change. 2017 Baumberger, Christoph, Knutti, Reto, Hirsch Hadorn, Gertrude

    Confirmation & evaluation Robustness

  5. Computer models and the evidence of anthropogenic climate change: An epistemology of variety-of-evidence inferences and robustness analysis. Studies in History and Philosophy of Science Part A. 2016 Vezér, Martin A.

    Attribution Ensemble methods Robustness

  6. Uncertainties, Plurality, and Robustness in Climate Research and Modeling: On the Reliability of Climate Prognoses. Journal for General Philosophy of Science. 2015 Leuschner, Anna

    Ensemble methods Reliability & uncertainty Robustness

  7. Model robustness as a confirmatory virtue: The case of climate science. Studies in History and Philosophy of Science Part A. 2015 Lloyd, Elisabeth A.

    Confirmation & evaluation Robustness Values

  8. Ensemble modeling, uncertainty and robust predictions. Wiley Interdisciplinary Reviews: Climate Change. 2013 Parker, Wendy S.

    Ensemble methods Reliability & uncertainty Robustness

  9. Robustness and uncertainties in the new CMIP5 climate model projections. Nature Climate Change. 2012 Knutti, Reto, Sedláček, Jan

    Ensemble methods Reliability & uncertainty Robustness

  10. The role of ‘complex’ empiricism in the debates about satellite data and climate models. Studies in History and Philosophy of Science Part A. 2012 Lloyd, Elisabeth A.

    Confirmation & evaluation Data Robustness

  11. Mapping model agreement on future climate projections. Geophysical Research Letters. 2011 Tebaldi, Claudia, Arblaster, Julie M., Knutti, Reto

    Ensemble methods Predictions and projections Reliability & uncertainty Robustness

  12. When Climate Models Agree: The Significance of Robust Model Predictions*. Philosophy of Science. 2011 Parker, Wendy S.

    Confirmation & evaluation Ensemble methods Robustness Values

  13. Confirmation and Robustness of Climate Models. Philosophy of Science. 2010 Lloyd, Elisabeth A.

    Confirmation & evaluation Robustness

  14. I—Elisabeth A. Lloyd: Varieties of Support and Confirmation of Climate Models. Aristotelian Society Supplementary Volume. 2009 Lloyd, Elisabeth A.

    Confirmation & evaluation Robustness Values

Storylines (3)

  1. Environmental catastrophes, climate change, and attribution. Annals of the New York Academy of Sciences. 2020 Lloyd, Elisabeth A., Shepherd, Theodore G.

    Attribution Extreme events Storylines

  2. Climate Change Attribution: When Is It Appropriate to Accept New Methods?. Earth's Future. 2018 Lloyd, Elisabeth A., Oreskes, Naomi

    Attribution Extreme events Storylines

  3. Introduction to the Special Issue on Philosophy and Climate Science. Journal for General Philosophy of Science. 2015 Winsberg, Eric

    Attribution Extreme events Storylines Values

Theoretical foundations (6)

Conceptual issues in the foundations of climate science and climate modelling, for instance concerning the very definitions of key notions.

  1. Issues in the theoretical foundations of climate science. Studies in History and Philosophy of Science Part B: Studies in History and Philosophy of Modern Physics. 2018 Katzav, Joel, Parker, Wendy S.

    Climate & climate change Theoretical foundations Variability

  2. Initial-Condition Dependence and Initial-Condition Uncertainty in Climate Science. The British Journal for the Philosophy of Science. 2018 Werndl, Charlotte

    Hawkmoth effect Reliability & uncertainty Theoretical foundations

    Full text
    cites

    Betz 2009 Katzav 2014 Parker 2010 Parker 2017 Stainforth 2007 Thompson 2016 Winsberg 2018 Winsberg 2016

    note

    An outline of predictions and projections in climate science through the lens of initial-condition dependence and initial-condition uncertainty. During the discussion of uncertainty, Werndl outlines two types which had not been discussed to much extent in the philosophical community. This new insight leads to many conclusions throughout the entirety of the paper.

  3. Lessons on Climate Sensitivity From Past Climate Changes. Current Climate Change Reports. 2016 von der Heydt, Anna S., Dijkstra, Henk A., van de Wal, Roderik S. W., Caballero, Rodrigo, Crucifix, Michel, Foster, Gavin L., Huber, Matthew, Köhler, Peter, Rohling, Eelco, Valdes, Paul J., Ashwin, Peter, Bathiany, Sebastian, Berends, Tijn, van Bree, Loes G. J., Ditlevsen, Peter, Ghil, Michael, Haywood, Alan M., Katzav, Joel, Lohmann, Gerrit, Lohmann, Johannes, Lucarini, Valerio, Marzocchi, Alice, Pälike, Heiko, Baroni, Itzel Ruvalcaba, Simon, Dirk, Sluijs, Appy, Stap, Lennert B., Tantet, Alexis, Viebahn, Jan, Ziegler, Martin

    Theoretical foundations Variability

  4. On Defining Climate and Climate Change. The British Journal for the Philosophy of Science. 2015 Werndl, Charlotte

    Climate & climate change Theoretical foundations

    Full text
    cites

    Parker 2006 Smith 2002 Steele 2013

    note

    An outline of the ongoing debate regarding how to properly provide a definition of climate and climate change. Werndl first systematizes the debate by providing five desiderata that a proper definition of climate should follow. Ultimately, a number of candidates for a definition are discussed and Werndl argues that a definition focusing on a distribution over time for regimes of varying external conditions is the most promising as it meets all five desiderata.

  5. Going back to basics. Nature Climate Change. 2014 Jakob, Christian

    Confirmation & evaluation Hawkmoth effect Theoretical foundations

  6. Irreducible imprecision in atmospheric and oceanic simulations. Proceedings of the National Academy of Sciences. 2007 McWilliams, J. C.

    Hawkmoth effect Theoretical foundations

Understanding & explanation (11)

Issues related to the nature and the role of scientific understanding and explanation in the climate context.

  1. Understanding climate phenomena with data-driven models. Studies in History and Philosophy of Science Part A. 2020 Knüsel, Benedikt, Baumberger, Christoph

    Understanding & explanation

  2. Understanding climate change with statistical downscaling and machine learning. Synthese. 2020 Jebeile, Julie, Lam, Vincent, Räz, Tim

    Regional climate modelling Understanding & explanation

  3. Philosophical Perspectives on Earth System Modeling: Truth, Adequacy, and Understanding. Journal of Advances in Modeling Earth Systems. 2020 Gramelsberger, G., Lenhard, J., Parker, W.S.

    Adequacy-for-purpose Confirmation & evaluation Understanding & explanation

  4. Explicating Objectual Understanding: Taking Degrees Seriously. Journal for General Philosophy of Science. 2019 Baumberger, Christoph

    Understanding & explanation

  5. The unseen uncertainties in climate change: reviewing comprehension of an IPCC scenario graph. Climatic Change. 2015 McMahon, Rosemarie, Stauffacher, Michael, Knutti, Reto

    Communication of uncertainties Reliability & uncertainty Understanding & explanation

  6. Simulation and Understanding in the Study of Weather and Climate. Perspectives on Science. 2014 Parker, Wendy S.

    Confirmation & evaluation Understanding & explanation

  7. How understanding causal relations counts in criticising arguments against anthropogenic global climate change. Meteorologische Zeitschrift. 2014 Bodenmann, Tom, Hirsch Hadorn, Gertrude

    Understanding & explanation

  8. Modeling Climate Policies: A Critical Look at Integrated Assessment Models. Philosophy & Technology. 2013 Frisch, Mathias

    Understanding & explanation Values

  9. The key role of causal explanation in the climate change issue. THEORIA. An International Journal for Theory, History and Foundations of Science. 2012 Pongiglione, Francesca

    Reliability & uncertainty Understanding & explanation

  10. Hybrid Models, Climate Models, and Inference to the Best Explanation. The British Journal for the Philosophy of Science. 2012 Katzav, J.

    Confirmation & evaluation Understanding & explanation

  11. Perceiving, explaining, and observing climatic changes: An historical case study of the "year without a summer" 1816. Meteorologische Zeitschrift. 2011 Bodenmann, Tom, Brönnimann, Stefan, Hadorn, Gertrude Hirsch, Krüger, Tobias, Weissert, Helmut

    Understanding & explanation

Value-free ideal (3)

  1. Values and Objectivity in the Intergovernmental Panel on Climate Change. Social Epistemology. 2020 Jebeile, Julie

    Value-free ideal Values

  2. In defence of the value free ideal. European Journal for Philosophy of Science. 2013 Betz, Gregor

    Value-free ideal Values

  3. Values and Objectivity in Science: Value-Ladenness, Pluralism and the Epistemic Attitude. Science & Education. 2012 Carrier, Martin

    Inductive risk Value-free ideal Values

Values (29)

Issues relate to the role of non-epistemic values in climate modelling.

  1. Severe weather event attribution: Why values won't go away. Studies in History and Philosophy of Science Part A. 2020 Winsberg, Eric, Oreskes, Naomi, Lloyd, Elisabeth

    Attribution Extreme events Values

  2. Uncertainties, Values, and Climate Targets. Philosophy of Science. 2020 Frisch, Mathias

    Reliability & uncertainty Values

  3. Values and Objectivity in the Intergovernmental Panel on Climate Change. Social Epistemology. 2020 Jebeile, Julie

    Value-free ideal Values

  4. Incorporating User Values into Climate Services. Bulletin of the American Meteorological Society. 2019 Parker, Wendy S., Lusk, Greg

    Adaptation Reliability & uncertainty Values

  5. What does robustness teach us in climate science: a re-appraisal. Synthese. 2018 Winsberg, Eric

    Confirmation & evaluation Ensemble methods Robustness Values

  6. Communicating Uncertainty to Policymakers: The Ineliminable Role of Values. Climate Modelling. 2018 Winsberg, Eric

    Communication of uncertainties Reliability & uncertainty Values

  7. Epistemic and ethical trade-offs in decision analytical modelling. Climatic Change. 2017 Vezér, Martin, Bakker, Alexander, Keller, Klaus, Tuana, Nancy

    Values

  8. Values and evidence: how models make a difference. European Journal for Philosophy of Science. 2017 Parker, Wendy S., Winsberg, Eric

    Probability & possibility Reliability & uncertainty Values

  9. Why the Argument from Inductive Risk Doesn’t Justify Incorporating Non-Epistemic Values in Scientific Reasoning. Current Controversies in Values and Science. 2017 Betz, Gregor

    Inductive risk Values

  10. The Risk of Using Inductive Risk to Challenge the Value-Free Ideal. Philosophy of Science. 2016 de Melo-Martín, Inmaculada, Intemann, Kristen

    Inductive risk Values

  11. Environmental Science. In Gardiner, Stephen M., Thompson, Allen Oxford Handbooks Online. 2015 Parker, Wendy

    Reliability & uncertainty Values

  12. Introduction to the Special Issue on Philosophy and Climate Science. Journal for General Philosophy of Science. 2015 Winsberg, Eric

    Attribution Extreme events Storylines Values

  13. Introduction to Assessing climate models: knowledge, values and policy. European Journal for Philosophy of Science. 2015 Katzav, Joel, Parker, Wendy S.

    Confirmation & evaluation Values

  14. Model robustness as a confirmatory virtue: The case of climate science. Studies in History and Philosophy of Science Part A. 2015 Lloyd, Elisabeth A.

    Confirmation & evaluation Robustness Values

  15. Distinguishing between legitimate and illegitimate values in climate modeling. European Journal for Philosophy of Science. 2015 Intemann, Kristen

    Values

  16. Model uncertainty and policy choice: A plea for integrated subjectivism. Studies in History and Philosophy of Science Part A. 2014 Isaac, Alistair M.C.

    Decision-making Reliability & uncertainty Values

  17. The example of the IPCC does not vindicate the Value Free Ideal: a reply to Gregor Betz. European Journal for Philosophy of Science. 2014 John, Stephen

    Communication of uncertainties Reliability & uncertainty Values

  18. Values and uncertainties in climate prediction, revisited. Studies in History and Philosophy of Science Part A. 2014 Parker, Wendy

    Confirmation & evaluation Reliability & uncertainty Values

  19. Accountability and values in radically collaborative research. Studies in History and Philosophy of Science Part A. 2014 Winsberg, Eric, Huebner, Bryce, Kukla, Rebecca

    Values

  20. Values and Uncertainty in Simulation Models. Erkenntnis. 2013 Morrison, Margaret

    Reliability & uncertainty Values

  21. Modeling Climate Policies: A Critical Look at Integrated Assessment Models. Philosophy & Technology. 2013 Frisch, Mathias

    Understanding & explanation Values

  22. In defence of the value free ideal. European Journal for Philosophy of Science. 2013 Betz, Gregor

    Value-free ideal Values

  23. Climate Science Controversies and the Demand for Access to Empirical Data. Philosophy of Science. 2012 McAllister, James W.

    Data Values

  24. The Scientist qua Policy Advisor Makes Value Judgments. Philosophy of Science. 2012 Steele, Katie

    Decision-making Values

  25. Values and Objectivity in Science: Value-Ladenness, Pluralism and the Epistemic Attitude. Science & Education. 2012 Carrier, Martin

    Inductive risk Value-free ideal Values

  26. Values and Uncertainties in the Predictions of Global Climate Models. Kennedy Institute of Ethics Journal. 2012 Winsberg, Eric

    Predictions and projections Reliability & uncertainty Values

  27. When Climate Models Agree: The Significance of Robust Model Predictions*. Philosophy of Science. 2011 Parker, Wendy S.

    Confirmation & evaluation Ensemble methods Robustness Values

  28. Reasoning about climate uncertainty. Climatic Change. 2011 Curry, Judith

    Climate change communication Communication of uncertainties Reliability & uncertainty Values

  29. I—Elisabeth A. Lloyd: Varieties of Support and Confirmation of Climate Models. Aristotelian Society Supplementary Volume. 2009 Lloyd, Elisabeth A.

    Confirmation & evaluation Robustness Values

Variability (2)

  1. Issues in the theoretical foundations of climate science. Studies in History and Philosophy of Science Part B: Studies in History and Philosophy of Modern Physics. 2018 Katzav, Joel, Parker, Wendy S.

    Climate & climate change Theoretical foundations Variability

  2. Lessons on Climate Sensitivity From Past Climate Changes. Current Climate Change Reports. 2016 von der Heydt, Anna S., Dijkstra, Henk A., van de Wal, Roderik S. W., Caballero, Rodrigo, Crucifix, Michel, Foster, Gavin L., Huber, Matthew, Köhler, Peter, Rohling, Eelco, Valdes, Paul J., Ashwin, Peter, Bathiany, Sebastian, Berends, Tijn, van Bree, Loes G. J., Ditlevsen, Peter, Ghil, Michael, Haywood, Alan M., Katzav, Joel, Lohmann, Gerrit, Lohmann, Johannes, Lucarini, Valerio, Marzocchi, Alice, Pälike, Heiko, Baroni, Itzel Ruvalcaba, Simon, Dirk, Sluijs, Appy, Stap, Lennert B., Tantet, Alexis, Viebahn, Jan, Ziegler, Martin

    Theoretical foundations Variability