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Validation of a global horizontal irradiation assessment from a numerical weather prediction model in the south of Sonora–Mexico

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  • Sosa-Tinoco, Ian
  • Peralta-Jaramillo, Juan
  • Otero-Casal, Carlos
  • López- Agüera, A.
  • Miguez-Macho, G.
  • Rodríguez-Cabo, I.

Abstract

The present work illustrates the methodology followed to generate a high spatial (9 km) and high temporal resolution (10 min) global solar irradiance assessment, based on a numerical weather prediction model, for the south of Sonora region in Mexico and its validation with observational data. At the same time a comparison with an ERA-Interim output data was performed in order to determine if downscaling was necessary. The methodology used starts with obtaining the mean radiation year in order to strongly reduce computational cost. Each day of the mean radiation year defines the initial and boundary conditions of the simulations. The simulation outputs were used to create the monthly and the annual irradiation maps. The grid cells are compared with the corresponding observation and the precision of the model is evaluated. The correlation of the model with the observation data is higher than 0.88. The rRMSE of the model during the fall and winter is observed to be lowered than 6.4%, but the rRMSE increases during the spring and summer. The results show that the downscaling using the configuration selected was correct.

Suggested Citation

  • Sosa-Tinoco, Ian & Peralta-Jaramillo, Juan & Otero-Casal, Carlos & López- Agüera, A. & Miguez-Macho, G. & Rodríguez-Cabo, I., 2016. "Validation of a global horizontal irradiation assessment from a numerical weather prediction model in the south of Sonora–Mexico," Renewable Energy, Elsevier, vol. 90(C), pages 105-113.
    • Handle: RePEc:eee:renene:v:90:y:2016:i:c:p:105-113
    DOI: 10.1016/j.renene.2015.12.055
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    References listed on IDEAS

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    1. Ortega, Alberto & Escobar, Rodrigo & Colle, Sergio & de Abreu, Samuel Luna, 2010. "The state of solar energy resource assessment in Chile," Renewable Energy, Elsevier, vol. 35(11), pages 2514-2524.
    2. Global Energy Assessment Writing Team,, 2012. "Global Energy Assessment," Cambridge Books, Cambridge University Press, number 9780521182935.
    3. Janjai, S. & Deeyai, P., 2009. "Comparison of methods for generating typical meteorological year using meteorological data from a tropical environment," Applied Energy, Elsevier, vol. 86(4), pages 528-537, April.
    4. Global Energy Assessment Writing Team,, 2012. "Global Energy Assessment," Cambridge Books, Cambridge University Press, number 9781107005198.
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    Cited by:

    1. Hideaki Ohtake & Fumichika Uno & Takashi Oozeki & Syugo Hayashi & Junshi Ito & Akihiro Hashimoto & Hiromasa Yoshimura & Yoshinori Yamada, 2019. "Solar Irradiance Forecasts by Mesoscale Numerical Weather Prediction Models with Different Horizontal Resolutions," Energies, MDPI, vol. 12(7), pages 1-17, April.

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