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Presentation
Comparing rainfall estimates derived from rain gages and satellite images at the eastern Mediterranean region
the 9th AGILE Conference on Geographic Information Science (2006)
  • Y. Kamarianakis, University of Crete
  • N. Chrysoulakis
  • H. Feidas, University of the Aegean
  • G. Kokolatos, University of the Aegean
Abstract
On that purpose, we use 6hr, 12hr and 24hr cumulative rainfall measurements, obtained from a large set of gages located at the eastern Mediterranean region, during October 2004. Two kinds of comparisons are undertaken. First, rainfall estimates derived from satellite images are projected to the locations of the rain gages and then compared to the actual gage measurements. Results in this case coincide with those reported in Barret (1988): IR satellite observations tend to overestimate precipitation. To obviate this, we seek optimal transformations for the IR satellite data via using statistical tools, namely the Box-Cox method and Linear Mixed models. Next, we perform spatial interpolation to the rain gage measurements and compare the derived surfaces to the ones obtained from satellite images for regions having high spatial density in gages. In both cases the estimation error is positively correlated to the rainfall level; we quantify this dependence using appropriate statistical tools.
Keywords
  • Rainfall estimation,
  • satellite based data,
  • ground-based data,
  • spatial interpolation
Publication Date
2006
Citation Information
Kamarianakis, Υ., Chrysoulakis, Ν., Feidas, H. and G. Kokolatos, 2006. Comparing rainfall estimates derived from rain gages and satellite images at the eastern Mediterranean region. In: Suarez, J. and B. Markus (Eds), Proceedings of the 9th AGILE Conference on Geographic Information Science: Shaping the future of Geographic Information Science in Europe, pp. 15 - 20.