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Correlation analysis between climate indices and Korean precipitation and temperature using empirical mode decomposition : I. Data decomposition and characteristic analysis
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 Title & Authors
Correlation analysis between climate indices and Korean precipitation and temperature using empirical mode decomposition : I. Data decomposition and characteristic analysis
Ahn, Si-Kweon; Choi, Wonyoung; Kim, Taereem; Heo, Jun-Haeng;
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 Abstract
Recently, natural hazards have occurred frequently due to climate change. The research need for predicting variability and tendency of precipitation and temperature has been increased. However, it is difficult to determine the characteristics of precipitation and temperature within a confidence range since they change due to complex factors with choppy and too many components. If their characteristics having more than one component are decomposed, then it can be useful for determining the variation of such characteristics more accurately. In this study, Korean precipitation and temperature were decomposed and their Intrinsic Mode Function (IMF) were extracted from Empirical Mode Decomposition (EMD). Finally, the characteristics of Korean precipitation and temperature data were analyzed in terms of periodicity and tendency.
 Keywords
empirical mode decomposition;intrinsic mode function;energy density;
 Language
Korean
 Cited by
 References
1.
Balocchi, R., Menicucci, D., Santarcangelo, E., Sebastiani, L., Gemignani, A., Ghelarducci, B., and Varanini, M. (2004) "Deriving the respiratory sinus arrhythmia from the heartbeat time series using empirical mode decomposition." Chaos, Solitons &Fractals, Vol. 20, No. 1, pp. 171-177. crossref(new window)

2.
Barnston, A.G., and Livezey, R.E. (1987) "Classification, seasonality and persistence of low-frequency atmospheric circulation patterns." Monthly Weather Review, Vol. 115, No. 6, pp. 1083-1126. crossref(new window)

3.
Feng, G.Y., Cai, Y.P., and He, Y.P. (2013) "The Time-Frequency Analysis Method Based on EMD White Noise Energy Density Distribution Characteristics of the Internal Combustion Engine Vibration." In Applied Mechanics and Materials, Vol. 328, pp. 367-375. crossref(new window)

4.
Franzke, C., and Woollings, T. (2011) "On the persistence and predictability properties of North Atlantic climate variability." Journal of Climate, Vol. 24, No. 2, pp. 466-472. crossref(new window)

5.
Franzke, C. (2009) "Multi-scale analysis of teleconnection indices: climate noise and nonlinear trend analysis." Nonlinear Processes in Geophysics, Vol. 16, No. 1, pp. 65-76. crossref(new window)

6.
Huang, N.E., Shen, Z., Long, S.R., Wu, M.C., Shih, H.H., Zheng, Q., and Liu, H.H. (1998) "The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis." Proceedings of the Royal Society of London A: Mathematical, Physical and Engineering Sciences, Vol. 454. No. 1971.

7.
Huang, N.E., Wu, M.L.C., Long, S.R., Shen, S.S., Qu, W., Gloersen, P., and Fan, K.L. (2003) "A confidence limit for the empirical mode decomposition and Hilbert spectral analysis." Proceedings of the Royal Society of London A: Mathematical, Physical and Engineering Sciences, Vol. 459. No. 2037.

8.
Lee, T., and Ouarda, T.B.M.J. (2011) "Prediction of climate nonstationary oscillation processes with empirical mode decomposition." Journal of Geophysical Research: Atmospheres (1984-2012), Vol. 116, No. D6.

9.
Lee, T. and Ouarda, T.B.M.J. (2012) "Stochastic simulation of nonstationary oscillation hydroclimatic processes using empirical mode decomposition." Water Resources Research, Vol. 48, No. 2.

10.
Molla, M.K.I., Rahman, M.S., Sumi, A., and Banik, P. (2006) "Empirical mode decomposition analysis of climate changes with special reference to rainfall data." Discrete Dynamics in Nature and Society, Vol. 2006-45348, 17.

11.
Reynolds, R.W. and Thomas M.S. (1994) "Improved global sea surface temperature analyses using optimum interpolation." Journal of climate, Vol. 7, No. 6, pp. 929-948. crossref(new window)

12.
Sang, Y.F., Wang, Z., and Liu, C. (2014) "Comparison of the MK test and EMD method for trend identification in hydrological time series." Journal of Hydrology, Vol. 510, pp. 293-298. crossref(new window)

13.
Weare, B.C., Navato, A.R., and Newell, R.E. (1976) "Empirical orthogonal analysis of Pacific sea surface temperatures." Journal of Physical Oceanography, Vol. 6, No. 5, pp. 671-678. crossref(new window)