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- Title
The Support Vector Regression with L1 Norm: Application to Weather Radar Data in Adjusting Rainfall Errors.
- Authors
ÖZKAYA, Arzu; YILMAZ, Asım Egemen
- Abstract
This paper presents the results of the research on radar rainfall estimate errors with the support vector regression (SVR) method using the observed rain gauge data. The paper depicts the methodological base of the algorithm that covers additive and multiplicative corrections and the practical implementations considering the locations of gauge measurements. The preliminary results show that the SVR has a location-oriented performance. The multiplicative and additive correction factors show decreasing and unstable trends respectively, as the distance from the radar location increase. Another particular outcome is that the SVR shows better results for almost all stations in decreasing the error in maximum rainfall amounts measured with weather radar.
- Subjects
RAINFALL; RADAR meteorology; RAIN gauges; CORRECTION factors; RADAR
- Publication
Sakarya University Journal of Science (SAUJS) / Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 2023, Vol 27, Issue 3, p634
- ISSN
1301-4048
- Publication type
Article
- DOI
10.16984/saufenbilder.1090178