Characterizing the elements of Earth's radiative budget: Applying uncertainty quantification to the CESM
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Understanding and characterizing sources of uncertainty in climate modeling is an important task. Because of the ever increasing sophistication and resolution of climate modeling it is increasing important to develop uncertainty quantification methods that minimize the computational cost that occurs when these methods are added to climate modeling. This research explores the application of sparse stochastic collocation with polynomial edge detection to characterize portions of the probability space associated with the Earth's radiative budget in the Community Earth System Model (CESM). Specifically, we develop surrogate models with error estimates for a range of acceptable input parameters that predict statistical values of the Earth's radiative budget as derived from the CESM simulation.
- Research Organization:
- Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States). Oak Ridge Leadership Computing Facility (OLCF)
- Sponsoring Organization:
- USDOE Office of Science (SC)
- Grant/Contract Number:
- AC05-00OR22725
- OSTI ID:
- 1567290
- Journal Information:
- Procedia Computer Science, Vol. 9, Issue C; ISSN 1877-0509
- Publisher:
- ElsevierCopyright Statement
- Country of Publication:
- United States
- Language:
- English
Web of Science
High dimensional decision dilemmas in climate models
|
journal | January 2013 |
High dimensional decision dilemmas in
climate models
|
posted_content | May 2013 |
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