Sensitivity analysis and parameter tuning of a sea-ice model.

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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.

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Kim, J. G. & Hovland, P. D. November 1, 2000.

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Description

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.

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  • 3rd International Conference/Workshop on Automatic Differentiation: From Simulation to Optimization, Nice (FR), 06/19/2000--06/23/2000; Other Information: PBD: 1 Nov 2000; PBD: 1 Nov 2000

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  • Report No.: ANL/MCS/CP-103189
  • Grant Number: W-31109-ENG-38
  • Office of Scientific & Technical Information Report Number: 768597
  • Archival Resource Key: ark:/67531/metadc725467

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Office of Scientific & Technical Information Technical Reports

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  • November 1, 2000

Added to The UNT Digital Library

  • Sept. 29, 2015, 5:31 a.m.

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  • March 23, 2016, 4:53 p.m.

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Kim, J. G. & Hovland, P. D. Sensitivity analysis and parameter tuning of a sea-ice model., article, November 1, 2000; Illinois. (digital.library.unt.edu/ark:/67531/metadc725467/: accessed July 17, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.