Solar Radiation and Its Influences on Climate Change

A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Climatology".

Deadline for manuscript submissions: 31 May 2026 | Viewed by 934

Special Issue Editor


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Guest Editor
Faculty of Physics, West University of Timisoara, 300223 Timișoara, Romania
Interests: atmospheric transmittance modeling; solar irradiance estimation; PV power forecasting

Special Issue Information

Dear Colleagues,

Recently, we have witnessed episodes of severe weather all over the world, such as violent storms, record temperatures, long droughts or massive floods. Many of these phenomena are considered signs of imminent climate change, and the common perception in both the scientific world and society at large is that renewable sources of energy, in particular solar energy, can significantly contribute to slowing down climate change. The large-scale integration of photovoltaic plants requires accurate information about the collectable solar energy, in the form of estimates at the design stage and forecasts at the operational stage. Solar energy at ground level is fundamentally conditioned by the radiative transfer in the Earth's atmosphere. In this general picture, the current Special Issue aims to bring together relevant studies on the relationship between solar energy and climate. Manuscripts are expected on, but are not limited to, the following topics:

  • The impact of solar energy on CO2 reductions;
  • The impact of climate change on photovoltaic energy production;
  • The potential of solar energy to mitigate climate change;
  • Long-term trends in solar irradiance and cloud cover;
  • Radiative transfer in the atmosphere;
  • The estimation of solar irradiance at ground level under clear sky conditions;
  • The incorporation of cloud coverage in solar irradiance estimation models;
  • Solar radiation forecasting at different time horizons;
  • Comparative studies of the performance of different solar radiation estimation or forecasting models.

Prof. Dr. Marius Paulescu
Guest Editor

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Keywords

  • climate change
  • solar energy
  • radiative transfer
  • atmospheric transmittance
  • clear sky
  • cloud cover
  • estimation
  • forecasting

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Published Papers (1 paper)

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Research

16 pages, 1642 KB  
Article
Past and Future Trends in Atmospheric Transparency Derived from a Revised Formulation of the Ångström–Prescott Equation
by Sergiu-Mihai Hategan, Eugenia Paulescu, Ciprian Dughir and Marius Paulescu
Atmosphere 2026, 17(1), 103; https://doi.org/10.3390/atmos17010103 - 18 Jan 2026
Viewed by 387
Abstract
Most studies have focused on extending the applicability of the Ångström–Prescott equation and improving its accuracy in estimating solar irradiation. Only a limited number of studies have addressed atmospheric climatology using the Ångström–Prescott equation. In contrast, this study reformulates the Ångström–Prescott equation to [...] Read more.
Most studies have focused on extending the applicability of the Ångström–Prescott equation and improving its accuracy in estimating solar irradiation. Only a limited number of studies have addressed atmospheric climatology using the Ångström–Prescott equation. In contrast, this study reformulates the Ångström–Prescott equation to explore its potential for extracting long-term atmospheric transparency information from radiometric measurements. It introduces a new annual formulation of the Ångström–Prescott equation derived from its common monthly version. While the formal structure is preserved, the equation shifts from its usual role, as a solar irradiation estimator, to a new role, as a predictor of long-term atmospheric transparency. The revised equation naturally defines an annual effective sunshine duration, which assigns greater weight to relative sunshine during summer months than during winter months. To enable prediction, the revised Ångström–Prescott equation is combined with Gaussian process regression. The equation provides the historical annual time series, while Gaussian process regression predicts future values and quantifies their associated uncertainty. To demonstrate the predictive capability of the method, it is applied to the analysis and prediction of four annual parameters characterizing atmospheric transparency: mean clear-sky atmospheric transparency, mean cloud transmittance, mean atmospheric transparency, and effective relative sunshine duration. The analysis is conducted using radiometric data collected at 14 stations distributed across Europe. Predictions for the upcoming decade (2024–2033) indicate that, at most stations, mean atmospheric transparency is expected to remain stable or change within approximate margins of −5% to +10%. Full article
(This article belongs to the Special Issue Solar Radiation and Its Influences on Climate Change)
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