Reba, M. N. M. and Roslan, N. and Syafiuddin, A. and Hashim, M. (2016) Evaluation of empirical radar rainfall model during the massive flood in Malaysia. In: 36th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016, 10 July 2016 through 15 July 2016, China.
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Abstract
Accurate rainfall estimation from radar reflectivity is crucial in hydrological modeling and quantitative precipitation estimation. Various rainfall intensities exhibited by different rainfall drop size distribution contribute to reflectivity and rain rate relationship (Z-R) variability in radar rainfall estimation. This paper focuses to evaluate the Z-R model during the massive flood in December 2014 for different rainfall intensity. Hourly reflectivity and rain gauge data were used. Linear and non-linear least square regression were applied to compare the accuracy of Z-R coefficients (a and b). This study found that the non-linear least square gives the best evaluation of a and b estimates in high intensity rainfall and Kelantan was experiencing frequent high intensity rainfall during the massive flood in December 2014. Evaluation of empirical model demonstrated in this study can improve the accuracy of radar rainfall estimation.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Uncontrolled Keywords: | Empirical model, Flood, Least square function, Rainfall, Weather radar |
| Subjects: | G Geography. Anthropology. Recreation > G Geography (General) > G70.212-70.215 Geographic information system |
| Divisions: | Geoinformation and Real Estate |
| ID Code: | 72969 |
| Deposited By: | Muhammad Atiff Mahussain |
| Deposited On: | 27 Nov 2017 02:00 |
| Last Modified: | 27 Nov 2017 02:00 |
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