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Solar mapping of Pakistan using visible images from geostationary satellites

Author

Listed:
  • Malik, A.Q.
  • Mufti, A.
  • Hiser, H.W.
  • Veziroglu, N.T.

Abstract

Solar maps of Pakistan have been prepared using visible data from Geostationary Operational Environmental Satellite (GOES). The attenuation of solar radiation in the atmosphere has been also incorporated in the computer model. The data for this project were collected from INSAT satellite, which corresponds to 11:00 h local standard time.

Suggested Citation

  • Malik, A.Q. & Mufti, A. & Hiser, H.W. & Veziroglu, N.T., 1998. "Solar mapping of Pakistan using visible images from geostationary satellites," Renewable Energy, Elsevier, vol. 13(1), pages 1-16.
    • Handle: RePEc:eee:renene:v:13:y:1998:i:1:p:1-16
    DOI: 10.1016/S0960-1481(97)00092-X
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    References listed on IDEAS

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    1. Malik, A.Q. & Mufti, A. & Hiser, H.W. & Veziroglu, N.T. & Kazi, L., 1991. "Application of geostationary satellite data for determining solar radiations over Pakistan," Renewable Energy, Elsevier, vol. 1(3), pages 455-461.
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    Cited by:

    1. Tahir, Z.R. & Asim, Muhammad, 2018. "Surface measured solar radiation data and solar energy resource assessment of Pakistan: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2839-2861.
    2. Malik, A.Q., 2000. "A modified method of estimating Ångström’s turbidity coefficient for solar radiation models," Renewable Energy, Elsevier, vol. 21(3), pages 537-552.
    3. Janjai, S. & Pankaew, P. & Laksanaboonsong, J. & Kitichantaropas, P., 2011. "Estimation of solar radiation over Cambodia from long-term satellite data," Renewable Energy, Elsevier, vol. 36(4), pages 1214-1220.
    4. Sabziparvar, Ali A., 2008. "A simple formula for estimating global solar radiation in central arid deserts of Iran," Renewable Energy, Elsevier, vol. 33(5), pages 1002-1010.
    5. Pattarapanitchai, S. & Janjai, S. & Tohsing, K. & Prathumsit, J., 2015. "A technique to map monthly average global illuminance from satellite data in the tropics using a simple semi-empirical model," Renewable Energy, Elsevier, vol. 74(C), pages 170-175.

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