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.
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© 2002 Springer Science+Business Media New York
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Kim, J.G., Hovland, P.D. (2002). Sensitivity Analysis and Parameter Tuning of a Sea-Ice Model. In: Corliss, G., Faure, C., Griewank, A., Hascoët, L., Naumann, U. (eds) Automatic Differentiation of Algorithms. Springer, New York, NY. https://doi.org/10.1007/978-1-4613-0075-5_9
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DOI: https://doi.org/10.1007/978-1-4613-0075-5_9
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Publisher Name: Springer, New York, NY
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Online ISBN: 978-1-4613-0075-5
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