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Satellite based estimates of solar irradiance at the earth's surface—I. Modelling approaches

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  • Hay, John E.

Abstract

Various approaches to the calculation of solar radiation at the earth's surface using satellite data are reviewed. The methods range from qualitative and subjective use of hard copy satellite images at low spatial and temporal resolution to the use of high resolution digital data and spectral radiative transfer models. Operational techniques are also described. These can be either statistically or theoretically based with varying degrees of numerical complexity. The nature of the input data requirements also varies. Some methods use widely available hard copy satellite images while others are based on digital data. There is also a wide variation in the requirements for additional environmental data. Some models meet all such requirements by analysis of the satellite data. Other models need such information as precipitable water derived from upper air soundings or empirical calculations.

Suggested Citation

  • Hay, John E., 1993. "Satellite based estimates of solar irradiance at the earth's surface—I. Modelling approaches," Renewable Energy, Elsevier, vol. 3(4), pages 381-393.
  • Handle: RePEc:eee:renene:v:3:y:1993:i:4:p:381-393
    DOI: 10.1016/0960-1481(93)90105-P
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    1. Hay, John E., 1993. "Satellite based estimates of solar irradiance at the earth's surface—II. Mapping of solar radiation," Renewable Energy, Elsevier, vol. 3(4), pages 395-398.
    2. Hay, John E., 1993. "Calculating solar radiation for horizontal surfaces—II. Empirically based approaches," Renewable Energy, Elsevier, vol. 3(4), pages 365-372.
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    Cited by:

    1. Wang, Lunche & Kisi, Ozgur & Zounemat-Kermani, Mohammad & Salazar, Germán Ariel & Zhu, Zhongmin & Gong, Wei, 2016. "Solar radiation prediction using different techniques: model evaluation and comparison," Renewable and Sustainable Energy Reviews, Elsevier, vol. 61(C), pages 384-397.
    2. Janjai, S. & Pankaew, P. & Laksanaboonsong, J., 2009. "A model for calculating hourly global solar radiation from satellite data in the tropics," Applied Energy, Elsevier, vol. 86(9), pages 1450-1457, September.
    3. Kambezidis, H.D. & Psiloglou, B.E. & Karagiannis, D. & Dumka, U.C. & Kaskaoutis, D.G., 2017. "Meteorological Radiation Model (MRM v6.1): Improvements in diffuse radiation estimates and a new approach for implementation of cloud products," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 616-637.
    4. Saioa Etxebarria Berrizbeitia & Eulalia Jadraque Gago & Tariq Muneer, 2020. "Empirical Models for the Estimation of Solar Sky-Diffuse Radiation. A Review and Experimental Analysis," Energies, MDPI, vol. 13(3), pages 1-23, February.
    5. Hay, John E., 1993. "Satellite based estimates of solar irradiance at the earth's surface—II. Mapping of solar radiation," Renewable Energy, Elsevier, vol. 3(4), pages 395-398.
    6. Purohit, Ishan & Purohit, Pallav, 2015. "Inter-comparability of solar radiation databases in Indian context," Renewable and Sustainable Energy Reviews, Elsevier, vol. 50(C), pages 735-747.
    7. Ramachandra, T.V. & Jain, Rishabh & Krishnadas, Gautham, 2011. "Hotspots of solar potential in India," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(6), pages 3178-3186, August.

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