Publication: Sensitivity Analysis and Parameter Tuning of a Sea-Ice Model
Introduction
Applications
Tools
Research Groups
Workshops
Publications
   List Publications
   Advanced Search
   Info
   Add Publications
My Account
About

Sensitivity Analysis and Parameter Tuning of a Sea-Ice Model

- incollection -
 

Author(s)
Jong G. Kim , Paul D. Hovland

Published in
Automatic Differentiation of Algorithms: From Simulation to Optimization

Editor(s)
George Corliss, Christèle Faure, Andreas Griewank, Laurent Hascoët, Uwe Naumann

Year
2002

Publisher
Springer

Abstract
The values of many of the parameters in climate models are often not known with any great precision. We describe the use of automatic differentiation to examine the sensitivity of an uncoupled dynamic-thermodynamic sea-ice model to various parameters. We also illustrate the effectiveness of using these sensitivity derivatives with an optimization algorithm to tune the parameters to maximize the agreement between simulated results and observational data.

Cross-References
Corliss2002ADo

BibTeX
@INCOLLECTION{
         Kim2002SAa,
       author = "Jong G. Kim and Paul D. Hovland",
       title = "Sensitivity Analysis and Parameter Tuning of a Sea-Ice Model",
       pages = "91--98",
       chapter = "9",
       crossref = "Corliss2002ADo",
       booktitle = "Automatic Differentiation of Algorithms: From Simulation to Optimization",
       year = "2002",
       editor = "George Corliss and Christ{\`e}le Faure and Andreas Griewank and Laurent
         Hasco{\"e}t and Uwe Naumann",
       series = "Computer and Information Science",
       publisher = "Springer",
       address = "New York, NY",
       abstract = "The values of many of the parameters in climate models are often not known with any
         great precision. We describe the use of automatic differentiation to examine the sensitivity of an
         uncoupled dynamic-thermodynamic sea-ice model to various parameters. We also illustrate the
         effectiveness of using these sensitivity derivatives with an optimization algorithm to tune the
         parameters to maximize the agreement between simulated results and observational data.",
       referred = "[Haase2002OSo], [Klein2002DMf]."
}


back
  

Contact:
autodiff.org
Username:
Password:
(lost password)