Abstract
This article aims to test a satellite infrared (IR) technique for estimating rainfall over Mediterranean. 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.
Original language | English (US) |
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Title of host publication | Proceedings 2006 - The 9th AGILE International Conference on Geographic Information Science: "Shaping the Future of Geographic Information Science in Europe", AGILE 2006 |
Pages | 15-20 |
Number of pages | 6 |
State | Published - 2006 |
Externally published | Yes |
Event | 9th AGILE International Conference on Geographic Information Science: "Shaping the Future of Geographic Information Science in Europe", AGILE 2006 - Visegrad, Hungary Duration: Apr 20 2006 → Apr 22 2006 |
Other
Other | 9th AGILE International Conference on Geographic Information Science: "Shaping the Future of Geographic Information Science in Europe", AGILE 2006 |
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Country/Territory | Hungary |
City | Visegrad |
Period | 4/20/06 → 4/22/06 |
Keywords
- Ground-based data
- Rainfall estimation
- Satellite based data
- Spatial interpolation
ASJC Scopus subject areas
- Information Systems
- Geography, Planning and Development