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A Method for Mapping Monthly Solar Irradiation Over Complex Areas of Topography: Réunion Island’s Case Study

  • Miloud Bessafi
  • Béatrice Morel
  • Jean-Daniel Lan-Sun-Luk
  • Jean-Pierre Chabriat
  • Patrick Jeanty
Conference paper
Part of the Climate Change Management book series (CCM)

Abstract

The aim of this study is to build a high-resolution mapping model for Réunion, a mountainous island with highly complex terrain. The dataset used here, which consists of solar irradiation, is not available from the regular weather station network over the island. This network is relatively dense and includes quality-monitoring stations, thus providing enough information to tackle the problem of climate data interpolation over the complex terrain. A model for mapping the monthly means of such variables is presented. It combines Partial Least Squares (PLS) regression with kriging interpolation of residuals. For all the variables, the same set of nine predictors, including altitude, geographical and topographical features, was selected for PLS regression. The regression model gives statistically good estimates of monthly solar irradiation. Accuracy improves significantly using solar radiation mapping built with regression+kriging than for mapping built with regression only.

Keywords

Solar irradiation Spatial distribution Partial least squares regression Kriging 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Miloud Bessafi
    • 1
  • Béatrice Morel
    • 1
  • Jean-Daniel Lan-Sun-Luk
    • 1
  • Jean-Pierre Chabriat
    • 1
  • Patrick Jeanty
    • 1
  1. 1. Laboratoire d’Energétique, d’Electronique et des ProcédésUniversité de La RéunionSaint-DenisFrance

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