Error correction of a predictive ocean wave model using local model approximation

Journal of Marine Systems

Volumn 53, Issue 1-4, 2005, Pages 1-17

  Babovic, Vladan ^a   Sannasiraj, S A ^b   Chan, Eng Soon ^c  

^a Tectrasys AG   (Switzerland)

^b INDIAN INSTITUTE OF TECHNOLOGY MADRAS   (India)

^c NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

Author keywords

Chaos theory; Embedding theorem; Genetic algorithm; Local model; Optimization; Wave forecasting

Indexed keywords

LINEAR AUTO REGRESSIVE MODELS; LOCAL MODEL APPROXIMATION;

APPROXIMATION THEORY; CHAOS THEORY; EVOLUTIONARY ALGORITHMS; FLUID DYNAMICS; MATHEMATICAL MODELS; TIME SERIES ANALYSIS; WATER WAVES;

OCEAN CURRENTS;

CHAOS THEORY; ERROR ANALYSIS; FLUID DYNAMICS; FORECASTING METHOD; GENETIC ALGORITHM; OCEAN WAVE; WAVE MODELING;

EID: 9944222570     PISSN: 09247963     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jmarsys.2004.05.028     Document Type: Article

References (38)

1. H.D.I. Abarbanel Analysis of Observed Chaotic Data 1996 Springer-Verlag New York
2. V. Babovic Emergence, Evolution, Intelligence: Hydroinformatics 1996 Balkema Rotterdam
3. V. Babovic, and M.B. Abbott Evolution of equation from hydraulic data. Part I: theory Journal of Hydraulic Research 35 3 1997 1 14
4. V. Babovic, and M.B. Abbott Evolution of equation from hydraulic data. Part II: application Journal of Hydraulic Research 35 3 1997 15 34
5. V. Babovic, and M. Keijzer Forecasting of river discharges in the presence of chaos and noise Jiri Marsalek Coping with Floods: Lessons Learned from Recent Experiences NATO ARW Series 1999 Kluwer Dordrecht 405 420
6. V. Babovic, and M. Keijzer Genetic programming as a model induction engine Journal of Hydroinformatics 2 1 2000 35 60
7. V. Babovic, and M. Keijzer Rainfall runoff modeling based on genetic programming Nordic Hydrology 34 2003 1
8. V. Babovic, M. Keijzer, and M. Stefansson Optimal embedding using evolutionary algorithms Proceedings of the Fourth International Conference on Hydroinformatics, Iowa City, Iowa, USA 2000 8pp.
9. V. Babovic, L.C. Larsen, and Z. Wu Calibrating hydrodynamic models by means of simulated evolution Proceedings of the First International Conference on Hydroinformatics 1994 Balkema Rotterdam 193 200
10. Babovic, V., Keijzer, M., Mahbub, R., 1999. Analysis and prediction of chaotic time series. D2K Technical report 0399-2, Danish Hydraulic institute, http://www.d2k.dk.
11. J.-R. Bidlot, and M.W. Holt Numerical wave modeling at operational weather centres Coastal Engineering 17 1999 409 429
12. S. Christopoulos Wind-wave modeling aspects within complicate topography Annales Geophysicae 15 1997 1340 1353
13. L.J. Fogel, A.J. Owens, and M.J. Walsh Artificial Intelligence through Simulated Evolution 1966 Ginn Needham Height
14. A. Gelb Applied Optimal Estimation 1974 MIT press Cambridge
15. N.A. Gershenfeld, and A.S. Weigend In Time Series Prediction: Forecasting the Future and Understanding the Past 1993 Addison Wesley Reading, MA
16. S. Hasselmann, and K. Hasselmann Computations and parametrizations of the nonlinear energy transfer in a gravity-wave spectrum. Part I: a new method for efficient computations of the exact nonlinear transfer integral Journal of Physical Oceanography 15 1985 1369 1377
17. K. Hasselmann, T.P. Barnett, E. Bouws, H. Carlson, D.E. Cartwright, K. Enke, J.A. Ewing, H. Gienapp, D.E. Hasselmann, P. Kruseman, A. Meerburg, P. Muller, D.J. Olbers, K. Richter, W. Sell, and H. Walden Measurements of wind-wave growth and swell decay during the Joint North Sea Wave Project (JONSWAP) Deutsche Hydrographische Zeitschrift. Erganzungsheft. Reihe A 8 12 1973 95pp.
18. P.C. Henk, Van den Boogard, and A.C.H. Kruisbrinck Hybrid modeling by integrating neural networks and numerical models Proceedings of the Second International Conference on Hydroinformatics vol. 2 1996 Balkema Rotterdam 471 478
19. J.H. Holland Adaptation in Natural and Artificial Systems 1975 University of Michigan Ann Arbor
20. P.A.E.M. Janssen Wave induced stress and the drag of air over sea waves Journal of Physical Oceanography 19 1989 745 754
21. M. Keijzer, and V. Babovic Error correction of a deterministic model in Venice lagoon by local linear models Proc. 'Modeli Complessie Metodi Computazional Intensivi per la Stima e la Previsione' Conference, Venice 1999
22. S.T. Khu, S.Y. Liong, V. Babovic, H. Madsen, and N. Muttil Genetic programming and its application in real-time runoff forecasting Journal of the American Water Resources Association 37 2 2001 439 451
23. G.J. Komen, S. Hasselmann, and K. Hasselmann On the existence of a fully developed windsea spectrum Journal of Physical Oceanography 14 1984 1271 1285
24. G.J. Komen, L. Cavaleri, M. Donelan, K. Hasselmann, S. Hasselmann, and P.A.E.M. Janssen Dynamics and Modeling of Ocean Waves 1994 Cambridge Univ. Press New York
25. J.R. Koza Genetic Programming: On the Programming of Computers by Means of Natural Selection 1992 MIT press Cambridge, MA, USA
26. J.W. Miles On the generation of surface waves by shear flows Journal of Fluid Mechanics 3 1957 185 204
27. Minns, A.W., 1998. Artificial neural networks on subsymbolic process descriptors. PhD thesis, Balkema, Rotterdam.
28. N.H. Packard, J.P. Crutchfield, J.D. Farmer, and R.S. Shaw Geometry from a time series Physical Review Letters 45 1980 712 716
29. O.M. Philips On the generation of waves by turbulent wind Journal of Fluid Mechanics 2 1957 417 445
30. O.M. Philips The equilibrium range in the spectrum of wind-generated water waves Journal of Fluid Mechanics 4 1958 426 434
31. J.C. Refsgaard Validation and intercomparison of different updating procedures for real-time forecasting Nordic Hydrology 28 1997 65 84
32. T. Sauer, and J.A. Yorke Rigorous verification of trajectories for the computer simulation of dynamical systems Nonlinearity 4 1991 961 979
33. H.-P. Schwefel Numerical Optimization of Computer Models 1981 Wiley Chichester
34. R.J. Snyder, F.W. Dobson, J.A. Elliott, and R.B. Long Array measurements of atmospheric pressure fluctuations above surface gravity waves Journal of Fluid Mechanics 102 1981 1 59
35. F. Takens Detecting strange attractors in turbulence D.A. Rand L.-S. Young Lecture Notes in Mathematics: Dynamical Systems and Turbulence vol. 898 1980 Springer-Verlag Berlin 366 381
36. The WAMDI group The WAM model-a third generation ocean wave prediction model Journal of Physical Oceanography 18 1988 1775 1810
37. H.L. Tolman User manual and system documentation of wavewatch-III version 1.18 Technical Note vol. 16 1999 National Oceanic and Atmospheric Administration Washington, DC
38. WMO, 1992. Simulated real-time intercomparison of hydrological models. WMO operational hydrology report 38-WMO No. 779, World Meteorological Organisation, Geneva.