Final Report: Climate Variability, Stochasticity and Learning in Integrated Assessment Models, September 15, 1996 - September 14, 1999 | Zendy

Charles D. Kolstad | Zendy

Open Access

Final Report: Climate Variability, Stochasticity and Learning in Integrated Assessment Models, September 15, 1996 - September 14, 1999

Author(s) -

Charles D. Kolstad

Publication year - 1999

Publication title -

osti oai (u.s. department of energy office of scientific and technical information)

Language(s) - English

Resource type - Reports

DOI - 10.2172/765627

Subject(s) - representation (politics) , climate model , bayesian probability , focus (optics) , climate change , climatology , work (physics) , machine learning , artificial intelligence , computer science , geography , ecology , engineering , political science , biology , physics , optics , politics , law , geology , mechanical engineering

The focus of the work has been on climate variability and learning within computational climate-economy models (integrated assessment models--IAM's). The primary objective of the research is to improve the representation of learning in IAM's. This include's both endogenous and exogenous learning. A particular focus is on Bayesian learning about climate damage. A secondary objective is to improve the representation of climate variability within IAM's

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