Methods and Tools for the Analysis of Climate Change Impacts and Policies
- Academic year
- 2018/2019 Syllabus of previous years
- Official course title
- Methods and Tools for the Analysis of Climate Change Impacts and Policies
- Course code
- PHD028 (AF:294883 AR:162400)
- Modality
- ECTS credits
- 6
- Degree level
- Corso di Dottorato (D.M.45)
- Educational sector code
- SECS-P/01
- Period
- 2nd Semester
- Course year
- 1
- Where
- VENEZIA
- Moodle
- Go to Moodle page
Contribution of the course to the overall degree programme goals
Expected educational achievements
Students are expected to learn how to use integrated assessment models and empirical models, to interpret their results and to communicate them, to apply their knowledge to new multidisplinary contexts related to their field of study. Students are expected to develop the learning skills to further apply the methods taught in the course in a self-directed or autonomous way.
Pre-requirements
Contents
· Introduction, typologies,
· International and European policies: SFDRR, WIM, .
· Key terms – exceedance probability, annual expected damage/loss, .
· Observed losses, normalisation, trend detection,
· Future projections
· Cat Models and insurance schemes
Lecture 2: Assessing impacts of extreme weather and climate related events (2)
· Large scale hazard modelling
· Climate services – Emergency Management, Climate Change and Land Monitoring
· Damage and loss models for floods, windstorms and droughts,
Lecture 3: Practical exercise for assessing flood damage using QGIS and R
Lecture 4: Climate risk assessment
· Introduction,
· Extreme climate indices and their use
· Extreme value analysis
· Composite climate indices
· Excurse: netcdf files and how to handle them
· Index based assessment of future risks
Lecture 5: Practical exercise for using netcdf data and calculation extreme indices in R
Lecture 6: Assessing vulnerability and adaptive capacity
· Introduction into construction of composite indices,
· Conceptual frameworks for vulnerability and adaptive capacity and how they are used by IPCC
· Normalisation and weighting
· Aggregation
Lecture 7: Uncertainty analysis
· Introduction, types of uncertainties
· Model uncertainties
· Uncertainty in policy making
· Social amplification and communication of uncertainties and risks
Lecture 8: Wrap-up, emerging issues and presentation of the students’ assignments
Referral texts
LECTURE 1 - IAMs – Introduction
van Vuuren, D.P., 2015. Integrated Assessment: Back to the Future. Utrecht University. http://www.uu.nl/sites/default/files/20150805-uu_oratie - van_vuuren.pdf.
van Vuuren, D.P., M. Kok 2012 Integrated Assessment Modelling, Ch 16, In: Encyclopedia Of Global Environmental Governance And Politics, Edited by Philipp H. Pattberg, VU University Amsterdam, the Netherlands and Fariborz Zelli, Lund University, Sweden
Turnheim et al. (2015). Evaluating sustainability transitions pathways: Bridging analytical
approaches to address governance challenges, Global Environmental Change 35 (2015) 239–253
Nordhaus, W. D., 1991. To slow or not to slow: the economics of the greenhouse effect. Economic Journal 101 (407), 920_937.
Nordhaus, WD (1993). Rolling the DICE: An Optimal Transition Path for Controlling Greenhouse Gases, Resource and Energy Economics, 15, 27-50.
Nordhaus, W.D.Paul Sztorc (2013). DICE 2013: Introduction and user’s Manual
Stern, N., 2008. The economics of climate change. American Economic Review: Papers and Proceedings 98 (2), 1_37.
Symposium: The Use of Integrated Assessment Models for Climate Policy
Weyant, J. (2017). Contributions of Integrated Assessment Models. Review of Environmental Economics and Policy, Volume 11, Issue 1, 1 January 2017, Pages 115–137, https://doi.org/10.1093/reep/rew018
Metcalf and Stock (2017). Integrated Assessment Models and the Social Cost of Carbon: A Review and Assessment of U.S. Experience. Review of Environmental Economics and Policy, Volume 11, Issue 1, 1 January 2017, Pages 80–99, https://doi.org/10.1093/reep/rew014
WP version available at:
Pindyck, R. S. (2017). The Use and Misuse of Models for Climate Policy. Review of Environmental Economics and Policy, Volume 11, Issue 1, 1 January 2017, Pages 100–114, https://doi.org/10.1093/reep/rew012
LECTURE 2 - IAMs – GAMS for environmental-economic modelling
Dellink, R (2004). GAMS for environmental-economic modeling, Wageningen University. Available from the instructor.
LECTURE 3 - IAMs – Cost-Benefit and Cost-Effective Analysis using IAMs
IPCC WG3 (2014) Chapter 3. Social, Economic, and Ethical Concepts and Methods
IPCC, (2014). Summary for Policymakers. In: Climate Change 2014: Mitigation of Climate Change. Contribution of Working Group III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change [Edenhofer, O., R. Pichs-Madruga, Y. Sokona, E. Farahani, S. Kadner, K. Seyboth, A. Adler, I. Baum, S. Brunner, P. Eickemeier, B. Kriemann, J. Savolainen, S. Schlömer, C. von Stechow, T. Zwickel and J.C. Minx (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA.
LECTURE 4: Overview of the research frontier in IAMs
Tol, R. (2018). Economic impacts of climate change. Review of Environmental Economics and Policy. ISSN 1750-6816.
Tol, R. (2009). The Economic Effects of Climate Change Journal of Economic Perspectives—Volume 23, Number 2—Spring 2009—Pages 29–51
Dell, M., Jones, B. F. and Olken, B. A. (2014). What do we learn from the weather? The new climate–economy literature. J. Econ. Lit. 52, 740–798.
The complete reading list will be circulated at the beginning on the class