Analysis of different comparison parameters applied to solar radiation data from satellite and German radiometric stations

Bella Espinar, Lourdes Ramírez, Anja Drews, Hans Georg Beyer, Luis F. Zarzalejo, Jesús Polo, Luis Martín

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82 Citations (Scopus)

Abstract

In this paper new comparison parameters are defined for assessing statistical similarity between two data sets. The new parameters are based on the commonly used Kolmogorov-Smirnov test. They allow quantifying differences between the cumulative distribution functions of each data series. These parameters are applied to global horizontal daily irradiation values from pyranometric measurements and satellite data. The test data from 38 stations distributed throughout Germany cover the time from 1995 until 2003. The results affirm that the new parameters contribute valuable information to the comparison of data sets complementing those that are found with the mean bias and root mean squared differences.

Original languageEnglish
Pages (from-to)118-125
Number of pages8
JournalSolar Energy
Volume83
Issue number1
DOIs
Publication statusPublished - 1 Jan 2009

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Keywords

  • Comparison parameters
  • Kolmogorov-Smirnov test
  • Model assessment
  • Quality control
  • Solar radiation

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment
  • Materials Science(all)

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