Final Report: Climate Variability, Stochasticity and Learning in Integrated Assessment Models, September 15, 1996 - September 14, 1999
Abstract
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.
- Authors:
- Publication Date:
- Research Org.:
- University of California, Santa Barbara, CA (US)
- Sponsoring Org.:
- USDOE Office of Energy Research (ER) (US)
- OSTI Identifier:
- 765627
- DOE Contract Number:
- FG03-96ER62277
- Resource Type:
- Technical Report
- Resource Relation:
- Other Information: PBD: 14 Sep 1999
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 54 ENVIRONMENTAL SCIENCES; 99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE; CLIMATES; LEARNING; STOCHASTIC PROCESSES; CLIMATE MODELS
Citation Formats
Kolstad, Charles D. Final Report: Climate Variability, Stochasticity and Learning in Integrated Assessment Models, September 15, 1996 - September 14, 1999. United States: N. p., 1999.
Web. doi:10.2172/765627.
Kolstad, Charles D. Final Report: Climate Variability, Stochasticity and Learning in Integrated Assessment Models, September 15, 1996 - September 14, 1999. United States. https://doi.org/10.2172/765627
Kolstad, Charles D. 1999.
"Final Report: Climate Variability, Stochasticity and Learning in Integrated Assessment Models, September 15, 1996 - September 14, 1999". United States. https://doi.org/10.2172/765627. https://www.osti.gov/servlets/purl/765627.
@article{osti_765627,
title = {Final Report: Climate Variability, Stochasticity and Learning in Integrated Assessment Models, September 15, 1996 - September 14, 1999},
author = {Kolstad, Charles D},
abstractNote = {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.},
doi = {10.2172/765627},
url = {https://www.osti.gov/biblio/765627},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Sep 14 00:00:00 EDT 1999},
month = {Tue Sep 14 00:00:00 EDT 1999}
}
Save to My Library
You must Sign In or Create an Account in order to save documents to your library.