Issues with the application of empirical mode decomposition analysis

MODSIM05 - International Congress on Modelling and Simulation: Advances and Applications for Management and Decision Making, Proceedings

Volumn , Issue , 2005, Pages 1681-1687

  Peel, M C ^a   Amirthanathan, G E ^a   Pegram, G G S ^b   McMahon, T A ^a   Chiew, F H S ^a  

^a UNIVERSITY OF MELBOURNE   (Australia)

^b UNIVERSITY OF KWAZULU NATAL   (South Africa)

Author keywords

Empirical mode decomposition; Hydroclimatology; Interannual variability; Interdecadal variability

Indexed keywords

AMPLITUDE AND FREQUENCY MODULATIONS; ANNUAL PRECIPITATION; APPLICATION PROCESS; CLIMATIC ZONE; CUBIC SPLINE; DIFFERENT TIME SCALE; EMPIRICAL MODE DECOMPOSITION; END CONDITIONS; END POINTS; HIGH FREQUENCY FILTERS; HILBERT TRANSFORM; HYDROCLIMATIC; HYDROCLIMATIC VARIABILITY; HYDROCLIMATOLOGY; INTER-DECADAL VARIABILITY; INTERANNUAL; INTERANNUAL VARIABILITY; INTERDECADAL; INTRINSIC MODE FUNCTIONS; LOW FREQUENCY; MELBOURNE; NEW FORMS; NON-STATIONARY TIME SERIES; NONLINEAR CHARACTERISTICS; NONSTATIONARY; NONSTATIONARY DATA; PRECIPITATION DATA; PRECIPITATION TIME SERIES; SPECTRAL TECHNIQUES; STATIONARITY; SUSTAINABLE MANAGEMENT; TIME SERIES DECOMPOSITION; TIME-SCALES; WATER RESOURCES SYSTEMS;

ALGORITHMS; CLIMATE CHANGE; DECISION MAKING; FOURIER ANALYSIS; FOURIER SERIES; MATHEMATICAL TRANSFORMATIONS; SPECTRUM ANALYSIS; SPLINES; TIME MEASUREMENT; TIME SERIES; WATER RESOURCES; INTERPOLATION; PRECIPITATION (METEOROLOGY); SIGNAL PROCESSING;

TIME SERIES ANALYSIS;

EID: 80053124280     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (11)

1. Chiew, F.H.S., M.C. Peel, G.E. Amirthanathan and G.G.S. Pegram (2005), Identification of oscillations in historical global streamflow data using empirical mode decomposition. Seventh IAHS Scientific Assembly at Foz do Iguaçu, Brazil. IAHS Publ. 296, pp: 53-62.
2. Coughlin, K.T. and K.K. Tung (2004), 11-Year solar cycle in the stratosphere extracted by the empirical mode decomposition method, Advances in Space Research 34, 323-329. (Pubitemid 38804549)
3. Flandrin, P., G. Rilling and P. Gonçalvès (2004), Empirical mode decomposition as a filter bank, IEEE Signal Processing Letters 11(2), 112-114.
4. Gloersen, P. and N. Huang (2003), Comparison of interannual intrinsic modes in hemispheric sea ice covers and other geophysical parameters, IEEE Transactions on Geoscience and Remote Sensing 41(5), 1062-1074. (Pubitemid 351466568)
5. Huang, N.E., Z. Shen, S.R. Long, M.C. Wu, H.H. Shih, Q. Zheng, N.C. Yen, C.C. Tung and H.H. Liu (1998), The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis, Proceedings of the Royal Society London A 454(1971), 903-995.
6. Huang, N.E., Z. Shen and S.R. Long (1999), A new view of nonlinear water waves: the Hilbert spectrum, Annual Review of Fluid Mechanics 31, 417-457. (Pubitemid 36186209)
7. Huang, N.E., M.L. Wu, W. Qu, S.R. Long, S.S.P. Shen, and J.E. Zhang (2003a), Application of Hilbert- Huang transform to non-stationary financial time series analysis, Applied Stochastic Models in Business and Industry 19, 245-268.
8. Huang, N.E., M.C. Wu, S.R. Long, S.S.P. Shen, W. Qu, P. Gloersen and K.L. Fan (2003b), A confidence limit for the empirical mode decomposition and Hilbert spectral analysis, Proceedings of the Royal Society London A 459(2037), 2317-2345. (Pubitemid 38328337)
9. Peterson, T.C. and R.S. Vose (1997), An overview of the Global Historical Climatology Network temperature database, Bulletin of the American Meteorological Society 78(12), 2837-2849.
10. Rilling, G., P. Flandrin and P. Gonçalvès (2003), On empirical mode decomposition and its algorithms. IEEE-EURASIP Workshop on Nonlinear Signal and Image Processing NSIP-03, Grado, Italy.
11. Wu, Z., E.K. Schneider, Z.Z. Hu and L. Cao (2001), The impact of global warming on ENSO variability in climate records, COLA Technical Report, CTR 110.