| Jiang Mingshun,Zhang Aijun. 1998. Study of fine structure of temperature in the equatorial westernPacific Ocean with wavelet transform. Acta Oceanologica Sinica, (3):293－304 |
| Study of fine structure of temperature in the equatorial westernPacific Ocean with wavelet transform |
| Study of fine structure of temperature in the equatorial westernPacific Ocean with wavelet transform |
| Received:June 14, 1997 Revised:November 10, 1997 |
| DOI： |
| Key words:Temperature finestructure wavelet transform multifractal |
| 中文关键词: Temperature finestructure wavelet transform multifractal |
| 基金项目:This study was supported by the Natural Science Foundation of China under contract No. 49506071. |
|
| Hits: 752 |
| Download times: 607 |
| Abstract: |
| By using the wavelet transform (WT), we analysed part of the CTD data rnllected from the equatorial western Pacific Ocean, the results show that the temperature fine structure has selfsimilarity and may be described with fractel.The singularity exponents of temperature series and their probability distributions are also calculated.The probability distribution functions(pdfs) have nearly a universal form.The nonzero probability at negative exponents implies the posmible existence of sigular points in the temperature profiles.When computing the averaged period of the WT, we end that the mean period Δ of the WT of the temperature series has a power dependence on the transform Beak a.i.e.,Δ-αβ, with β≈1.This suggests that a simple dichomotous cascading mechanism may govern the fine-strueture dynamics.In addtion, since the amplitudes of the wavelet transform is related with the strength of the temperature fluctuations, the vertical distribution of fluctuation energy can be calculated by wavelet transform.Compared to the FFT spectrum, the WT spectrum is,smooth and is capable of giving more accurate spectral slopes. |
| 中文摘要: |
| By using the wavelet transform (WT), we analysed part of the CTD data rnllected from the equatorial western Pacific Ocean, the results show that the temperature fine structure has selfsimilarity and may be described with fractel.The singularity exponents of temperature series and their probability distributions are also calculated.The probability distribution functions(pdfs) have nearly a universal form.The nonzero probability at negative exponents implies the posmible existence of sigular points in the temperature profiles.When computing the averaged period of the WT, we end that the mean period Δ of the WT of the temperature series has a power dependence on the transform Beak a.i.e.,Δ-αβ, with β≈1.This suggests that a simple dichomotous cascading mechanism may govern the fine-strueture dynamics.In addtion, since the amplitudes of the wavelet transform is related with the strength of the temperature fluctuations, the vertical distribution of fluctuation energy can be calculated by wavelet transform.Compared to the FFT spectrum, the WT spectrum is,smooth and is capable of giving more accurate spectral slopes. |
|
HTML
View Full Text
View/Add Comment Download reader |
| Close |
|
|
|
