|COOKIES: By using this website you agree that we can place Google Analytics Cookies on your device for performance monitoring.|
Climate investments optimized under uncertainty
If you have a question about this talk, please contact Mustapha Amrani.
Mathematical and Statistical Approaches to Climate Modelling and Prediction
While the EU has been propagating the 2° target over the last decade, now also the Copenhagen Accord (2009) recognizes that ‘the increase in global temperature should be below 2 degrees Celsius’ (compared to pre-industrial levels). In recent years, energy economics have derived welfare-optimal investment streams into low-emission energy mixes and associated costs. According to our analyses, auxiliary targets that are in line with the 2° target could be achieved at relatively low costs if energy investments were triggered rather swiftly.
While such analyses assume ‘perfect foresight’ of a benevolent ‘social planner’, an accompanying suite of experiments explicitly acknowledges the rather uncertain nature of key responses to human decisions within the climate as well as the technology system. We outline first results into that direction and indicate an intrinsic need for generalisation within target approaches under uncertainty.
This talk is part of the Isaac Newton Institute Seminar Series series.
This talk is included in these lists:
Note that ex-directory lists are not shown.
Other listsMaritime and Oceanic History Graduate Workshop St Catharine's College Amalgamated Societies Lecture Series Arrol Adam Lecture Series
Other talksSequential Monte Carlo with Highly Informative Observations Shaping and reshaping regulatory loops in Drosophila morphogen signaling. Guided Tour of Great St Mary's Church - 1:00pm The first Human Genome Project: computers and the mapping of human genes, 1950–1970 Counting the Emperor 'For the sake of ornament': iconography in Tycho Brahe's Astronomiae instauratae mechanica