Mapping regularities in the solar irradiance data using complementary complexity measures

Solar irradiance represents one of the principal phenomena of interest in geophysics and recent research, especially which concerned with renewable energy, suggests that the complexity of solar irradiance time series offers important insights into the dynamics of different geophysical systems. We ex...

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Bibliographic Details
Published in:Stochastic environmental research and risk assessment 2021-06, Vol.35 (6), p.1257-1272
Main Authors: Mihailović, Dragutin T., Aksentijevic, Aleksandar, Mihailović, Anja
Format: Article
Language:English
Subjects:
Aquatic Pollution
Chemistry and Earth Sciences
Complexity
Computational Intelligence
Computer Science
Earth and Environmental Science
Earth Sciences
Environment
Environmental factors
Geophysics
Irradiance
Irradiation
Math. Appl. in Environmental Science
Original Paper
Periodicity
Physics
Probability Theory and Stochastic Processes
Radiation
Renewable energy
Statistics for Engineering
Time series
Waste Water Technology
Water Management
Water Pollution Control
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Summary:Solar irradiance represents one of the principal phenomena of interest in geophysics and recent research, especially which concerned with renewable energy, suggests that the complexity of solar irradiance time series offers important insights into the dynamics of different geophysical systems. We examined the complexity of the daily cumulative global horizontal irradiance (kWh/m 2 ; dGHI in further text) recorded by satellite for 32 stations on the island of La Réunion over a 35-month period (2004–2006) using Kolmogorov complexity (KC) and a recently introduced measure—Aksentijevic–Gibson complexity (AG) which is capable of quantifying the complexity of both long and short strings. Previous examinations of physical data suggest that AG could represent a useful addition to the geophysical analysis toolkit. Our results demonstrate for the first time that running KC is capable of capturing periodic patterns in data and that AG is sensitive to both global/long-scale spatial and temporal structure and local/short-range complexity fluctuations. Importantly, we report a putative weekly periodicity which might be related to environmental factors and human activity. In conclusion, we suggest that AG could represent a useful tool in the study of solar irradiation time series but also with other types of geophysical data.
ISSN:1436-3240
1436-3259
DOI:10.1007/s00477-020-01955-1