Abstract
This study applied a dual Kalman filter (DKF) for real-time correction of the mean-field bias of radar rain rate. The DKF is a dual estimation system, and is different from the conventional Kalman filter (KF). The DKF is composed of a state estimation system and a model estimation system, thus it operates two KFs. The state estimate system is the same as the conventional KF, but the model estimation system continuously updates the model parameters. The DKF was applied to four radar stations in Korea; the Kwanaksan Radar, Osungsan Radar, Jindo Radar and Kudeoksan Radar. As a result, it was found that the DKF can be superior to the KF application when the temporal variability of the G/R (rain gauge rain rate/radar rain rate) ratio is very high. Additionally, the application of the DKF for a short-duration severe storm event should be emphasized. In particular, for a flash flood warning system, the DKF application can have a special meaning; that of improving the quality of the radar rain rate data.
| Original language | English |
|---|---|
| Pages (from-to) | 2785-2796 |
| Number of pages | 12 |
| Journal | Journal of Hydrology |
| Volume | 519 |
| Issue number | PD |
| DOIs | |
| Publication status | Published - 2014 Nov 27 |
Bibliographical note
Funding Information:This work was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) Grant funded by the Ministry of Eduacation and Technology (No. 2010-0014566 and No. 2013-0110-12 ).
Publisher Copyright:
© 2014.
Keywords
- Dual Kalman filter
- G/R ratio
- Mean field bias correction
ASJC Scopus subject areas
- Water Science and Technology