on the temporal variability of the surface solar radiation by means of spectral representations
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ID: 153251
2016
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Abstract
This work deals with the temporal variability of daily means of the global
broadband surface solar irradiance (SSI) impinging on a horizontal plane by
studying a decennial time-series of high-quality measurements recorded at a
BSRN ground station. Since the data have a non-linear and non-stationary
character, two time-frequency-energy representations of signal processing are
compared in their ability to resolve the temporal variability of the
pyranometric signal. First, the continuous wavelet transform is used to
construct the wavelet power spectrum of the data. Second, the adaptive,
noise-assisted empirical mode decomposition is employed to extract the
intrinsic mode functions of the signal, followed by Hilbert spectral
analysis. In both spectral representations, the temporal variability of the
SSI is portrayed having clearly distinguishable features: a plateau between
scales of two days and two-three months that has decreasing power with
increasing scale, a large spectral peak corresponding to the annual
variability cycle, and a low power regime in between the previous two. It is
shown that the data-driven, noise-assisted method yields a somewhat more
sparse representation and that it is a suitable tool for inspecting the
temporal variability of SSI measurements.
| Reference Key |
bengulescu2016advanceson
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|---|---|
| Authors | ;M. Bengulescu;P. Blanc;L. Wald |
| Journal | proceedings of the 2017 ieee russia section young researchers in electrical and electronic engineering conference, elconrus 2017 |
| Year | 2016 |
| DOI |
10.5194/asr-13-121-2016
|
| URL | |
| Keywords |
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