Surrogate-based optimization of climate model parameters using response correction

Journal of Computational Science

Volumn 2, Issue 4, 2011, Pages 335-344

  Priess M ^a   Koziel, S ^b   Slawig, T ^a  

^a UNIVERSITY OF KIEL   (Germany)

^b REYKJAVIK UNIVERSITY   (Iceland)

Author keywords

Climate models; Marine ecosystem models; Parameter optimization; Response correction; Surrogate based optimization

Indexed keywords

COMPUTATIONALLY EFFICIENT; CORRECTION TECHNIQUES; COST SAVING; ECOSYSTEM MODEL; HIGH FIDELITY; HIGH FIDELITY MODELS; LOW-FIDELITY MODELS; MARINE ECOSYSTEM; MODEL PARAMETERS; PARAMETER OPTIMIZATION; PHYSICS-BASED; SURROGATE-BASED OPTIMIZATION;

COMPUTER SIMULATION; ECOSYSTEMS; OPTIMIZATION;

CLIMATE MODELS;

EID: 82455198555     PISSN: 18777503     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jocs.2011.08.004     Document Type: Article

References (25)

1. Queipo N.V., Haftka R.T., Shyy W., Goel T., Vaidyanathan R., Tucker P.K. Surrogate-based analysis and optimization. Prog. Aerosp. Sci. 2005, 41:1-28.
2. Forrester A.I., Keane A.J. Recent advances in surrogate-based optimization. Prog. Aerosp. Sci. 2009, 45:50-79.
3. Bandler J.W., Cheng Q.S., Dakroury S.A., Mohamed A.S., Bakr M.H., Madsen K., Søndergaard J. Space mapping: the state of the art. IEEE Trans. Microw. Theory 2004, 52.
4. Leifsson L., Koziel S. Multi-fidelity design optimization of transonic airfoils using physics-based surrogate modeling and shape-preserving response prediction. J. Comput. Sci. 2010, 1:98-106.
5. McGuffie K., Henderson-Sellers A. A Climate Modelling Primer 2005, Wiley. 3rd ed.
6. Majda A. Introduction to PDE's and Waves for the Atmosphere and Ocean 2003, AMS.
7. Gill A.E. Atmosphere-Ocean Dynamics, Volume 30 of International Geophysics Series 1982, Academic Press.
8. Wilcox D.C. Turbulence Modeling for CFD 1998, DCW Industries. 2nd ed.
9. Sarmiento J., Gruber N. Ocean Biogeochemical Dynamics 2006, Princeton University Press.
10. Fennel W., Neumann T. Introduction to the Modelling of Marine Ecosystems 2004, Elsevier.
11. Banks H.T., Kunisch K. Estimation Techniques for Distributed Parameter Systems 1989, Birkhäuser.
12. Bucker H.M., Fortmeier O., Petera M. Solving a parameter estimation problem in a three-dimensional conical tube on a parallel and distributed software infrastructure. Journal of Computational Science 2011, 2:95-104. Simulation Software for Supercomputers.
13. Tarantola A. Inverse Problem Theory and Methods for Model Parameter Estimation 2005, SIAM.
14. Oschlies A., Garcon V. An eddy-permitting coupled physical-biological model of the north Atlantic. 1. sensitivity to advection numerics and mixed layer physics. Global Biogeochem. Cytochem. 1999, 13:135-160.
15. 2-uptake using a hybrid algorithm and algorithmic differentiation. Nonlinear Anal.: Real World Appl. Online 2010.
16. Kunkel P., Mehrmann V. Differential-algebraic Equations: Analysis and Numerical Solution 2006, EMS.
17. Temam R. Navier-Stokes Equations 1979, North-Holland, Amsterdam.
18. Simpson T., Poplinski J., Koch P.N., Allen J. Metamodels for computer-based engineering design: survey and recommendations. Eng. Comput. 2001, 17:129-150. 10.1007/PL00007198.
19. Smola A.J., Schölkopf B. A tutorial on support vector regression. Stat. Comput. 2004, 14:199-222. doi:10.1023/B:STCO.0000035301.49549.88.
20. J. Søndergaard, Optimization using surrogate models - by the space mapping technique, Ph.D. thesis, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, Richard Petersens Plads, Building 321, DK-2800 Kgs. Lyngby, 2003, Supervisor: Kaj Madsen.
21. Conn A.R., Gould N.I.M., Toint P.L. Trust-region Methods 2000, Society for Industrial and Applied Mathematics, Philadelphia, PA.
22. Koziel S., Bandler J.W., Cheng Q.S. Robust trust-region space-mapping algorithms for microwave design optimization. IEEE Trans. Microw. Theory 2010, 58:2166-2174.
23. Hackbusch W. Elliptic Differential Equations: Theory and Numerical Treatment, Springer Series in Computational Mathematics 2010, Springer, Berlin.
24. Fletcher C.A.J. Computational Techniques for Fluid Dynamics, vol. 1 1991, Springer. 2nd ed.
25. Priess M., Koziel S., Slawig T. Improved surrogate-based optimization of climate model parameters using response correction. International Conference on Simulation and Modeling Methodologies, Technologies and Application, SIMULTECH 2011 2011, 449-457.