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http://dx.doi.org/10.9798/KOSHAM.2011.11.3.017

Mean Field Bias Correction of the Very-Short-Range-Forecast Rainfall using the Kalman Filter  

Yoo, Chul-Sang (고려대학교 공과대학 건축.사회환경공학부)
Kim, Jung-Ho (고려대학교 공과대학 건축.사회환경공학부)
Chung, Jae-Hak (국립방재교육연구원 방재연구소)
Yang, Dong-Min (노아솔루션 기술연구소)
Publication Information
Journal of the Korean Society of Hazard Mitigation / v.11, no.3, 2011 , pp. 17-28 More about this Journal
Abstract
This study applied the Kalman Filter for real-time forecasting the G/R (ground rain gauge rainfall/radar rainfall) ratio to correct the mean field bias of the very-short-range-forecast (VSRF) rainfall. The MAPLE-forecasted rainfall was used as the VSRF rainfall, also the methodology for deciding the G/R ratio was improved by evaluating the change of G/R ratio characteristics depending on the threshold and accumulation time. This analysis was done for the inland, mountain, and coastal regions, separately, for their comparison. As the results, more stable G/R ratio could be estimated by applying the threshold and accumulation time, whose forecasting accuracy could also be secured. The accuracy of the corrected rainfall forecasting by the forecasted G/R ratio was the best in the inland region but the worst in the coastal region.
Keywords
very-short-term rainfall forecasting; MAPLE; G/R ratio; Kalman Filter;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
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