On the . Application of the Method of Maximum Entropy Spectral Analysis to Processes with Continuous Power Spectrum over Wide Frequency Range

Iwatani, Yoshiharu

doi:10.2151/jmsj1965.62.5_797

Cited by 1 publication

(3 citation statements)

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“…As the data length is 10-13min, the power spectra estimated with MEM are effective for the range of frequency higher than 1/150-1/195Hz as shown by Iwatani (1984). As shown later, the spectra shown in this paper have maximums at the frequency much higher than 1/150Hz.…”

Section: Methods Of Data Analysissupporting

confidence: 55%

“…Horizontal velocities are available only at the height of 51.5m. Those at the other three lovels are estimated from the following relation shown by Iwatani and Shiotani (1984) Table 4. These values will be used in further analyses.…”

Section: Results Of Analysis For the Vertical Velocitymentioning

confidence: 99%

“…It should be noted that the scale LMEM depends on the length * of prediction error filter. The length * adopted in the present analyses is nearly equal to the square root of the data length (Iwatani, 1984).…”

Section: Methods Of Data Analysismentioning

confidence: 99%

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Spectra and Scales of the Atmospheric Tuburbulence in High Winds Ranging from 10 to 60m/s.

Iwatani

1985

Journal of the Meteorological Society of Japan

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This paper is mainly concerned with power spectra and scales of turbulence in strong winds in the range of 10-60m/s.The spectra and the scales were calculated with the method of maximum entropy spectral analysis.The spectra for both longitudinal and vertical velocities are represented well by the algebraic expression suggested by Fichtl and McVehil (1970) and Busch (1973). But the factor controlling peakedness and the peak wave number vary with mean wind speed for the longitudinal velocities.The peak wave number is not proportional to the height above the ground for the vertical velocities.A few kind of scales are dealt with and compared with each other.As the integral scales are overestimated due to underestimates of high-frequency components of wind fluctuations, the measured values were corrected.The ratio of integral scales to scales connected with spectral peaks agrees well with the theoretical result obtained from the algebraic expression of spectrum. The scales of the longitudinal velocities for over-sea winds increased with the mean wind velocities and were larger than those for over-land winds. The above experimental result shows that a similarity theory given as a function of a parameter nz/U does not hold true. The scales of the vertical velocity for a rough terrain were not proportional to height. It also means that the similarity theory is not consistent with the present data for the vertical velocity.

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Section: Methods Of Data Analysissupporting

confidence: 55%

Section: Results Of Analysis For the Vertical Velocitymentioning

confidence: 99%