Sea surface temperature patterns on the West Florida Shelf using growing hierarchical self-organizing maps

Journal of Atmospheric and Oceanic Technology

Volumn 23, Issue 2, 2006, Pages 325-338

  Liu, Yonggang ^a   Weisberg, Robert H ^a   He, Ruoying ^b  

^a UNIVERSITY OF SOUTH FLORIDA   (United States)

^b WOODS HOLE OCEANOGRAPHIC INSTITUTION   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION THEORY; FEATURE EXTRACTION; PATTERN RECOGNITION; SELF ORGANIZING MAPS; TEMPERATURE DISTRIBUTION; TIME SERIES ANALYSIS;

ANOMALY PATTERNS; HIERARCHICAL STRUCTURE; SEA SURFACE TEMPERATURE;

SEAWATER;

APPROXIMATION THEORY; FEATURE EXTRACTION; PATTERN RECOGNITION; SEAWATER; SELF ORGANIZING MAPS; TEMPERATURE DISTRIBUTION; TIME SERIES ANALYSIS;

ISOTHERM; MAPPING; SEA SURFACE TEMPERATURE; SEASONALITY; WATER MASS;

ATLANTIC OCEAN; FLORIDA SHELF;

EID: 33645327130     PISSN: 07390572     EISSN: None     Source Type: Journal    
DOI: 10.1175/JTECH1848.1     Document Type: Article

References (46)

1. Ainsworth, E. J., 1999: Visualization of ocean colour and temperature from multispectral imagery captured by the Japanese ADEOS satellite. J. Visual., 2, 195-204.
2. Ainsworth, E. J., and S. F. Jones, 1999: Radiance spectra classification from the ocean color and temperature scanner on ADEOS. IEEE Trans. Geosci. Remote Sens., 37, 1645-1656.
3. Ambroise, C., G. Seze, F. Badran, and S. Thiria, 2000: Hierarchical clustering of self-organizing maps for cloud classification. Neurocomputing, 30, 47-52.
4. Cavazos, T., 1999: Large-scale circulation anomalies conducive to extreme events and simulation of daily rainfall in northeastern Mexico and southeastern Texas. J. Climate, 12, 1506-1523.
5. Cavazos, T., 2000: Using self-organizing maps to investigate extreme climate events: An application to wintertime precipitation in the Balkans. J. Climate, 13, 1718-1732.
6. Cavazos, T., A. C. Comrie, and D. M. Liverman, 2002: Intraseasonal variability associated with wet monsoons in southeast Arizona. J. Climate, 15, 2477-2490.
7. Chu, P. C., S. H. Lu, and Y. Chen, 1997a: Temporal and spatial variabilities of the South China Sea surface temperature anomaly. J. Geophys. Res., 102, 20 937-20 955.
8. Chu, P. C., H. C. Tseng, C. P. Chang, and J. M. Chen, 1997b: South China Sea warm pool detected from the Navy's Master Oceanographic Observational Data Set (MOODS). J. Geophys. Res., 102, 15 761-15 771.
9. Dittenbach, M., 2003: The growing hierarchical self-organizing map: Uncovering hierarchical structure in data. J. Austrian Soc. Artif. Intell., 22 (3), 25-28.
10. Dittenbach, M., A. Rauber, and D. Merkl, 2002: Uncovering the hierarchical structure in data using the Growing Hierarchical Self-Organizing Map. Neurocomputing, 48, 199-216.
11. Espinosa-Carreon, T. L., P. T. Strub, E. Beier, F. Ocampo-Torres, and G. Gaxiola-Castro, 2004: Seasonal and interannual variability of satellite-derived chlorophyll pigment, surface height, and temperature off Baja California. J. Geophys. Res., 109, C03039, doi:10.1029/ 2003JC002105.
12. Gilbes, F., C. Tomas, J. J. Walsh, and F. E. Muller-Karger, 1996: An episodic chlorophyll plume on the West Florida Shelf. Cont. Shelf Res., 16, 1201-1224.
13. Hardman-Mountford, N. J., A. J. Richardson, D. C. Boyer, A. Kreiner, and H. J. Boyer, 2003: Relating sardine recruitment in the Northern Benguela to satellite-derived sea surface height using a neural network pattern recognition approach. Progress in Oceanography, Vol. 59, Pergamon, 241-255.
14. He, R., and R. H. Weisberg, 2002: West Florida shelf circulation and temperature budget for the 1999 spring transition. Cont. Shelf Res., 22, 719-748.
15. He, R., and R. H. Weisberg, 2003: West Florida shelf circulation and temperature budget for the 1998 fall transition. Cont. Shelf Res., 23, 777-800.
16. He, R., R. H. Weisberg, H. Zhang, F. Muller-Karger, and R. W. Helber, 2003: A cloud-free, satellite-derived, sea surface temperature analysis for the West Florida Shelf. Geophys. Res. Lett., 30, 1811, doi:10.1029/ 2003GL017673.
17. Hewitson, B. C., and R. G. Crane, 1994: Neural Nets: Applications in Geography. Kluwer Academic, 208 pp.
18. Hewitson, B. C., and R. G. Crane, 2002: Self-organizing maps: Applications to synoptic climatology. Climate Res., 22, 13-26.
19. Hong, Y., K. Hsu, S. Sorooshian, and X. Gao, 2004: Precipitation estimation from remotely sensed imagery using an artificial neural network cloud classification system. J. Appl. Meteor., 43, 1834-1853.
20. Hotelling, H., 1933: Analysis of a complex of statistical variables into principal components. J. Educ. Psych., 24, 417-441.
21. Hsu, K., H. V. Gupta, X. Gao, S. Sorooshian, and B. Imam, 2002: SOLO - An artificial neural network suitable for hydrologic modeling and analysis. Water Resour. Res., 38, 1302, doi:10.1029/2001WR000795.
22. Huh, O. K., W. J. Wiseman, and L. J. Rouse, 1981: Intrusion of loop current waters onto the West Florida continental shelf. J. Geophys. Res., 86, 4186-4192.
23. Kaski, S., J. Kangas, and T. Kohonen, 1998: Bibliography of Self-Organizing Map (SOM) papers: 1981-1997. Neural Comput. Surv., 1, 102-350.
24. Kohonen, T., 1982: Self-organized information of topologically correct features maps. Biol. Cybernetics, 43, 59-69.
25. Kohonen, T., 2001: Self-Organizing Maps. Springer Series in Information Sciences, Vol. 30, 3d ed., Springer-Verlag, 501 pp.
26. Kohonen, T., J. Hynninen, J. Kangas, and J. Laaksonen, 1995: SOM_PAK, the self-organizing map program, version 3.1. Helsinki University of Technology, Laboratory of Computer and Information Science, Finland, 27 pp. [Available online at http://www.cis.hut.fi/research/som_pak/.]
27. Lagerloef, G. S. E., and R. L. Bernstein, 1988: Empirical orthogonal function analysis of Advanced Very High Resolution Radiometer surface temperature patterns in Santa Barbara Channel. J. Geophys. Res., 93, 6863-6873.
28. Lui, Y., and R. H. Weisberg, 2005a: Momentum balance diagnoses for the West Florida Shelf. Cont. Shelf Res., 25, 2054-2074.
29. Lui, Y., and R. H. Weisberg, 2005b: Patterns of ocean current variability on the West Florida Shelf using the self-organizing map. J. Geophys. Res., 110, C06003, doi:10.1029/2004JC002786.
30. Malmgren, B. A., and A. Winter, 1999: Climate zonation in Puerto Rico based on principal components analysis and an artificial neural network. J. Climate, 12, 977-985.
31. Molinari, R. L., S. Baig, D. W. Behringer, G. A. Maul, and R. Legeckis, 1977: Winter intrusions of the loop current. Science, 198, 505-506.
32. Oja, M., S. Kaski, and T. Kohonen, 2003: Bibliography of Self-Organizing Map (SOM) papers: 1998-2001 addendum. Neural Comput. Surv., 3, 1-156.
33. Paluszkiewicz, T., L. P. Atkinson, E. S. Posmentier, and C. R. McClain, 1983: Observations, of a loop current frontal eddy in trusion onto the West Florida Shelf. J. Geophys. Res., 88C, 9639-9651.
34. Pampalk, E., G. Widmer, and A. Chan, 2004: A new approach to hierarchical clustering and structuring of data with Self-Organizing Maps. Intell. Data Anal. J., 8 (2), 131-149.
35. Rauber, A., D. Merkl, and M. Dittenbach, 2002: The Growing Hierarchical Self-Organizing Map: Exploratory analysis of high-dimensional data. IEEE Trans. Neural Networks, 13, 1331-1341.
36. Richardson, A. J., M. C. Pfaff, J. G. Field, N. F. Silulwane, and F. A. Shillington, 2002: Identifying characteristic chlorophyll a profiles in the coastal domain using an artificial neural network. J. Plankton Res., 24, 1289-1303.
37. Richardson, A. J., C. Risien, and F. A. Shillington, 2003: Using self-organizing maps to identify patterns in satellite imagery. Progress in Oceanography, Vol. 59, Pergamon, 223-239.
38. Richman, M. B., 1986: Rotation of principal components. J. Climatol., 6, 293-335.
39. Risien, C. M., C. J. C. Reason, F. A. Shillington, and D. B. Chelton, 2004: Variability in satellite winds over the Benguela upwelling system during 1999-2000. J. Geophys. Res., 109C, C03010, doi:10.1029/ 2003JC001880.
40. Silulwane, N. F., A. J. Richardson, F. A. Shillington, and B. A. Mitchell-Innes, 2001: Identification and classification of vertical chlorophyll patterns in the Benguela upsvelling system and Angola-Benguela Front using an artificial neural network. S. Afr. J. Mar. Sci., 23, 37-51.
41. Ultsch, A., and F. Röske, 2002: Self-organizing feature maps predicting sea levels. Info. Sci., 144, 91-125.
42. Vesanto, J., J. Himberg, E. Alhoniemi, and J. Parhankangas, 2000: SOM toolbox for Matlab 5. Helsinki University of Technology, Finland. [Available online at http://www.cis.hut.fi/projects/somtoolbox/.]
43. Weare, B. C., A. R. Navato, and R. E. Newell, 1976: Empirical orthogonal analysis of Pacific sea surface temperature. J. Phys. Oceanogr., 6, 671-678.
44. Weisberg, R. H., and R. He, 2003: Local and deep-ocean forcing contributions to anomalous water properties on the West Florida Shelf. J. Geophys. Res., 108, 3184, doi:10.1029/2002JC001407.
45. Weisberg, R. H., B. Black, and H. Yang, 1996: Seasonal modulation of the west Florida shelf circulation. Geophys. Res. Lett., 23, 2247-2250.
46. Weisberg, R. H., R. He, G. Kirkpatrick, F. Muller-Karger, and J. J. Walsh, 2004: Coastal ocean circulation influences on remotely sensed optical properties: A West Florida Shelf case study. Oceanography, 17 (2), 68-75.