Analyses of long-term solar irradiance data with wavelet transforms

Richard K. Kiang; H. Lee Kyle; Brian A. Telfer; Harold H. Szu

doi:10.1117/12.170047

15 March 1994 Analyses of long-term solar irradiance data with wavelet transforms

Richard K. Kiang, H. Lee Kyle, Brian A. Telfer, Harold H. Szu

Proceedings Volume 2242, Wavelet Applications; (1994) https://doi.org/10.1117/12.170047
Event: SPIE's International Symposium on Optical Engineering and Photonics in Aerospace Sensing, 1994, Orlando, FL, United States

Abstract

Global temperature has risen significantly during the past century, based on measurements at meteorological stations. The two important factors in climate forcings are anthropogenic activities and changes of incident solar irradiance. The 14 years of Nimbus-7 Earth radiation budget measurements, which started in November 1978 and continued through January 1993, provide an important long-term record of solar irradiance, absorbed solar energy, and outgoing long wave and net radiation. Wavelet transforms are powerful techniques to decompose time series in time and frequency domains, and to isolate relevant characteristics. Transforms based on Morlet wavelets and Mexican Hat wavelets are used to examine the periodicities in the 14-year Nimbus-7 measurements and the 9-year Solar Maximum Mission (SMM) measurements. Short-term variations with periods ranging from a few days to 30 or 40 days are identified. The importance of selecting wavelet kernels is illustrated, pointing toward the need of wavelet transform and adaptive wavelet transform. The superiority of wavelet analyses over short-time Fourier transform and Gabor transform is also demonstrated.

Citation Download Citation

Richard K. Kiang, H. Lee Kyle, Brian A. Telfer, and Harold H. Szu "Analyses of long-term solar irradiance data with wavelet transforms", Proc. SPIE 2242, Wavelet Applications, (15 March 1994); https://doi.org/10.1117/12.170047

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