Sensitivities of a Global Sea-Ice Model
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Area: Climate Modeling
A global sea-ice modeling component of the Community Climate System Model was augumented with automatic differentiation (AD) technology. The numerical experiments were run with two problem sets of different grid sizes. Rigid ice regions with high viscous properties cause computational difficulty in the propagation of AD-based derivative computation. Pre-tuning step was required to obtain successful convergence behavior. Various thermodynamic and dynamic parameters were selected for multivariate sensitivity analysis. The major parameters controlling the sea-ice thickness/volume computation were ice and snow densitives, albedo parameters, thermal conductivities, and emissivity constant. Especially, the ice and snow albedo parameters are found to have stronger effect during melting seasons. This high seasonal variability of the thermodynamic parameters underlines the importance of the multivariate sensitivity approach in global sea-ice modeling studies.
Related AD-Tool:
TAPENADE
Reference:
People involved:
Reference:
Jong G. Kim, Elizabeth C. Hunke, William H. Lipscomb
A Sensitivity-Enhanced Simulation Approach for Community Climate System Model
Conference proceeding, Computational Science -- ICCS 2006, Springer, 2006
Jong G. Kim, Elizabeth C. Hunke, William H. Lipscomb
Sensitivity Analysis and Parameter Tuning Scheme for Global Sea-Ice Modeling
Article in Ocean Modeling Journal, 2006
A Sensitivity-Enhanced Simulation Approach for Community Climate System Model
Conference proceeding, Computational Science -- ICCS 2006, Springer, 2006
Jong G. Kim, Elizabeth C. Hunke, William H. Lipscomb
Sensitivity Analysis and Parameter Tuning Scheme for Global Sea-Ice Modeling
Article in Ocean Modeling Journal, 2006
People involved:
- J.G. Kim,
Mathematics and Computer Science Division, Argonne National Laboratory - E.C. Hunke,
Theoretical Division, Los Alamos National Laboratory - W.H. Lipscomb,
Theoretical Division, Los Alamos National Laboratory