Exploratory analysis of climate data using source separation methods

Neural Networks

Volumn 19, Issue 2, 2006, Pages 155-167

  Ilin, Alexander ^a   Valpola, Harri ^a   Oja, Erkki ^a  

^a AALTO UNIVERSITY   (Finland)

Author keywords

Blind source separation; Denoising source separation; El Ni o; Global climate; Independent component analysis; Semiblind methods

Indexed keywords

BLIND SOURCE SEPARATION; DATA REDUCTION; INDEPENDENT COMPONENT ANALYSIS; PRECIPITATION (METEOROLOGY);

DENOISING SOURCE SEPARATION; EL NIÑO; GLOBAL CLIMATE; SEMIBLIND METHODS;

CLIMATOLOGY;

ARTICLE; ARTIFICIAL NEURAL NETWORK; CLIMATE; CORRELATION ANALYSIS; DATA ANALYSIS; EL NINO; ENVIRONMENTAL TEMPERATURE; EXPLORATORY RESEARCH; EXTRACTION; FREQUENCY ANALYSIS; GLOBAL CLIMATE; HIGH FREQUENCY OSCILLATION; LINEAR SYSTEM; MEASUREMENT; PRECIPITATION; PRESSURE MEASUREMENT; PRIORITY JOURNAL; SEA LEVEL; SEASONAL VARIATION; SEPARATION TECHNIQUE; TEMPERATURE MEASUREMENT;

ATMOSPHERIC PRESSURE; CLIMATE; GEOLOGIC SEDIMENTS; MODELS, STATISTICAL; OCEANS AND SEAS; SEASONS; SPECTRUM ANALYSIS; TEMPERATURE; TIME FACTORS;

EID: 33645994449     PISSN: 08936080     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neunet.2006.01.011     Document Type: Article

References (31)

1. Aires F., Chédin A., and Nadal J.-P. Independent component analysis of multivariate time series: Application to the tropical SST variability. Journal of Geophysical Research 105 D13 (2000) 17437-17455
2. AO. (May 2005). The Arctic Oscillation index provided by the NCEP Climate Prediction Center. Available from: http://www.cpc.ncep.noaa.gov/.
3. Basak J., Sudarshan A., Trivedi D., and Santhanam M.S. Weather data mining using independent component analysis. Journal of Machine Learning Research 5 (2004) 239-253
4. Belouchrani A., Meraim K.A., Cardoso J.-F., and Moulines E. A blind source separation technique based on second order statistics. IEEE Transactions on Signal Processing 45 2 (1997) 434-444
5. Cichocki A., and Amari S.-I. Adaptive blind signal and image processing (2002), Wiley, New York, NY
6. Cichocki, A., & Belouchrani, A. (2001). Source separation of temporally correlated sources using bank of band-pass filters. In Proceedings of international conference on independent component analysis and signal separation (ICA'2001), San Diego, USA (pp. 173-178).
7. Enfield D.B., Mestas-Nuñez A.M., and Trimble P.J. The Atlantic multidecadal oscillation and its relation to rainfall and river flows in the continental US. Geophysical Research Letters 28 10 (2001) 2077-2080
8. Gharieb R.R., and Cichocki A. Second-order statistics based blind source separation using a bank of subband filters. Digital Signal Processing 13 2 (2003) 252-274
9. Green A.A., Berman M., Switzer P., and Craig M.D. A transformation for ordering multispectral data in terms of image quality with implications for noise removal. IEEE Transactions on Geoscience and Remote Sensing 26 1 (1988) 65-74
10. Hyvärinen A., Hoyer P., and Inki M. Topographic independent component analysis. Neural Computation 13 7 (2001) 1525-1558
11. Hyvärinen A., Karhunen J., and Oja E. Independent component analysis (2001), Wiley, New York, NY
12. Hyvärinen, A., Särelä, J., & Vigário, R. (1999). Spikes and bumps: Artefacts generated by independent component analysis with insufficient sample size. In Proceedings of international workshop on independent component analysis and blind signal separation (ICA'99), Aussois, France (pp. 425-429).
13. Ilin, A., & Valpola, H. (2005). Frequency-based separation of climate signals. In Proceedings of the ninth European conference on principles and practice of knowledge discovery in databases (PKDD'2005), Porto, Portugal (pp. 519-526).
14. Ilin, A., Valpola, H., & Oja, E. (2005). Semiblind source separation of climate data detects El Niño as the component with the highest interannual variability. In Proceedings of international joint conference on neural networks (IJCNN'2005), Montréal, Québec, Canada (pp. 1722-1727).
15. Kalnay E., and coauthors. The NCEP/NCAR 40-year reanalysis project. Bulletin of the American Meteorological Society 77 (1996) 437-471
16. Kim K.-Y., and Wu Q. A comparison study of EOF techniques: Analysis of nonstationary data with periodic statistics. Journal of Climate 12 (1999) 185-199
17. Lotsch A., Friedl M.A., and Pinzón J. Spatio-temporal deconvolution of NDVI image sequences using independent component analysis. IEEE Transactions on Geoscience and Remote Sensing 41 12 (2003) 2938-2942
18. NCEP data (November 2004). NCEP reanalysis data provided by the NOAA-CIRES Climate Diagnostics Center, Boulder, Colorado, USA. Available from: http://www.cdc.noaa.gov/.
19. Niño 3 SST. (December 2004). Niño region 3 sea surface temperature index provided by the NCAR climate analysis section. Available from: http://www.cgd.ucar.edu/cas/.
20. Pawlowicz, R. (2000). M_Map: A mapping package for Matlab, Available from: http://www2.ocgy.ubc.ca/~rich/map.html.
21. Richman M.B. Rotation of principal components. Journal of Climatology 6 (1986) 293-335
22. Särelä J., and Valpola H. Denoising source separation. Journal of Machine Learning Research 6 (2005) 233-272
23. Särelä J., and Vigário R. Overlearning problem in high-order ICA: Analysis and solutions. Journal of Machine Learning Research 4 (2003) 1447-1469
24. SOI. (February 2005). The Southern Oscillation index provided by the NCAR climate analysis section. Available from: http://www.cgd.ucar.edu/cas/.
25. Switzer P. Min/max autocorrelation factors for multivariate spatial imagery. In: Billard L. (Ed). Computer science and statistics (1985), Elsevier, Amsterdam 13-16
26. Trenberth K.E., and Caron J.M. The Southern Oscillation revisited: Sea level pressures, surface temperatures, and precipitation. Journal of Climate 13 (2000) 4358-4365
27. Valpola H., and Karhunen J. An unsupervised ensemble learning method for nonlinear dynamic state-space models. Neural Computation 14 11 (2002) 2647-2692
28. Valpola H., and Särelä J. Accurate, fast and stable denoising source separation algorithms. In: Puntonet C.G., and Prieto A. (Eds). Proceedings of fifth international conference on independent component analysis and blind signal separation (ICA'2004). Lecture notes in computer science Vol. 3195 (2004), Springer 65-72
29. von Storch H., and Zwiers W. Statistical analysis in climate research (1999), Cambridge University Press, Cambridge, UK
30. Wiskott L., and Sejnowski T.J. Slow feature analysis: Unsupervised learning of invariances. Neural Computation 14 (2002) 715-770
31. Ziehe, A., & Müller, K.-R. (1998). TDSEP-an effective algorithm for blind separation using time structure. In Proceedings of eighth international conference on artificial neural networks (ICANN'98), Skövde, Sweden (pp. 675-680).