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Spectra method for revealing relations between slope and possible sunshine duration in China

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Abstract

Possible sunshine duration (PSD) determines the solar energy received by the surface of Earth. The objective of this research is to explore the spatial structure of PSD which is closely related to slope and PSD. We chose 40 sample areas representing diversified landforms in China and then computed the PSD by using the digital elevation models (DEMs) with a resolution of 30 m for the sample areas. We define the concept of the spectrum which reveals the relation between the PSD and slope over an analysis window on the DEM, and propose the method for deriving the spectrum. Using this method, we derive the corresponding spectra in a year or in a season in the study areas when the analysis window is larger than the corresponding value of area, the stable area. The value of the spectrum generally decreases with the slope; the stable area is positively related to the variation in the slope and that of the relief degree. The spectrum may be useful for computing PSD while considering the shielding effect quickly; the stable area may be used as the minimum value of the area in studies on the spatial structure of PSD; this method might be a quantitative one in geography for revealing the spatial structure of other meteorological factors.

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Acknowledgements

This work was supported by the National Natural Science Foundation of China (grant numbers 41771423, 41930102, 41491339 and 41601408) and by the industry-university-research cooperation project for the social development of Fujian Province, China (grant number 2018Y0054). The author would like to express heartful gratitude to the anonymous reviewers for the helpful comments; the author also owes a special debt of gratitude to his students, ZHOU Wen-zhen and WANG Kai, for computing the PSD and drawing Fig. 1, respectively.

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Correspondence to Nan Chen.

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Editorial Responsibility: H. Babaie

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Chen, N. Spectra method for revealing relations between slope and possible sunshine duration in China. Earth Sci Inform 13, 695–707 (2020). https://doi.org/10.1007/s12145-020-00456-7

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  • DOI: https://doi.org/10.1007/s12145-020-00456-7

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