On the Use of Emulators with Extreme and Highly Nonlinear Geophysical Simulators
| dc.contributor.author | Tokmakian, Robin | |
| dc.contributor.author | Challenor, Peter | |
| dc.contributor.author | Andrianakis, Yiannis | |
| dc.contributor.department | Oceanography | |
| dc.date.accessioned | 2014-11-24T16:46:56Z | |
| dc.date.available | 2014-11-24T16:46:56Z | |
| dc.date.issued | 2012-11 | |
| dc.description | The article of record as published may be located at http://dx.doi.org/10.1175/JTECH-D-11-00110.1 | en_US |
| dc.description.abstract | Gaussian process emulators are a powerful tool for understanding complex geophysical simulators, including oceanic and atmospheric general circulation models. Concern has been raised about their ability to emulate complex nonlinear systems. For the first time, using the simple Stommel model, the way in which emulators can reasonably represent the full sampling space of an extreme nonlinear, bimodal system is illustrated. This simple example also shows how an emulator can help to elucidate interactions between parameters. The ideas are further illustrated with a second, more realistic, intermediate complex climate simulator. The paper describes what is meant by an emulator, the methodology of emulators, how emulators can be assessed, and why they are useful. It is shown how simple emulators can be useful to explore the parameter space (initial conditions, process parameters, and boundary conditions) of complex computer simulators, such as ocean and climate general circulation models, even when simulator outcomes contain steps in the response. | en_US |
| dc.identifier.citation | Journal of Atmospheric and Oceanic Technology, Volume 29, November 2012 | |
| dc.identifier.uri | https://hdl.handle.net/10945/43793 | |
| dc.rights | This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States. | en_US |
| dc.title | On the Use of Emulators with Extreme and Highly Nonlinear Geophysical Simulators | en_US |
| dc.type | Article | en_US |
| dspace.entity.type | Publication |
