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Sensitivity Analysis and Parameter Tuning of a Sea-Ice Model

  • Jong G. Kim
  • Paul D. Hovland
Chapter
  • 317 Downloads

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.

Keywords

Geostrophic Wind Automatic Differentiation Sensitivity Derivative Multivariate Parametric Sensitivity Derivative Code 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media New York 2002

Authors and Affiliations

  • Jong G. Kim
  • Paul D. Hovland

There are no affiliations available

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