AN ENHANCEMENT TO THE QUANTITATIVE PRECIPITATION ESTIMATION USING RADAR-GAUGE MERGING

Abdullah Ali, Gumilang Deranadyan, Iddam Hairuly Umam

Abstract

Quantitative Precipitation Estimation (QPE) is quite important information for the hydrology fields and has many advantages for many purposes. Its dense spatial and temporal resolution can be combined with the surface observation to enhance the accuracy of the estimation. This paper presents an enhancement to the QPE product from BMKG weather radar network at Surabaya by adjusting the estimation value form radar to the real data observation from rain gauge. A total of 58 rain gauge is used. The Mean Field Bias (MFB) method used to determine the correction factor through the difference between radar estimation and rain gauge observation value. The correction factor obtained at each gauge points are interpolated to the entire radar grid in a multiplicative adjustment. Radar-gauge merging results a significant improvement revealed by the decreasing of mean absolute error (MAE) about 40% and false alarm ratio (FAR) as well an increasing of possibility of detection (POD) more than 50% at any rain categories (light rain, moderate rain, heavy rain, and very heavy rain). This performance improvement is very beneficial for operational used in BMKG and other hydrological needs.

Keywords

Quantitative Precipitation Estimation, radar-gauge merging, Mean Field Bias Method

Full Text:

PDF

References

Aghakouchak, A., Habib, E., & Bardossy, A. (2010). Modeling radar rainfall estimation

uncertainties: Random error model. J. Hydrol. Eng. 15, 265–274.

Chumchean, S., Sharma, A., & Seed, A. (2006). An integrated approach to error correction for real-time radar-rainfall estimation. J. Atmos. Ocean. Tech., 23, 67–79.

Germann, U., Galli, G., Boscacci, M., & Bolliger, M. (2006) Radar precipitation measurements in a mountainous region. Q. J. Roy. Meteor. Soc. 132, 1669–1692.

Goudenhoofdt, E., & Delobbe, L. (2009). Evaluation of radar-gauge merging methods for quantitative precipitation estimates. Hydrol. Earth Syst. Sci., 13, 2975–3003.

Joss, J., & Wadvogel, A. (1990). Precipitation measurement and hydrology. In D. Atlas (Ed.), Radar in Meteorology: Battan Memorial and 40th Anniversary Conference on Radar Meteorology, (pp. 577–606). Boston, MA: American Meteorology Society.

Krajewski, W. F. (1987). Cokriging of radar-rainfall and rain gauge data. J. Geophys. Res., 92, 95719580.

Lack, S. A., & Fox, N. I. (2007). An examination of the effect of wind drift on radar-derived surface rainfall estimations. Atmos. Res., 85, 217–229.

Pereira Fo, A. J., Crawford, K. C., & Hartzell, C. L. (1998). Improving WSR-88D hourly rainfall estimates, Weather Forecast., 13, 10161028.

Seo, D. J., & Breidenbach J. P. (2006). Real-time correction of spatially nonuniform bias in radar rainfall data using rain gauge measurement. J. Hydrometeorol., 3, 67–69.

Selex SI (2017). Rainbow5 Product and Algorithm, Software Manual 4, (pp. 127–128).

Sokol, Z. (2003). Utilization of regression models for rainfall estimates using radar-derived rainfall data and rain gauge data. J. Hydrol., 278, 144–152.

Sun, X., Mein, R. G., Keenan, T. D., & Elliott, J. F. (2000). Flood estimation using radar and rain-gauge data. J. Hydro., 239, 4–18.

Tabary, P. (2007). The New French Operational Radar Rainfall Product. Part I: Methodology. Weather Forecast., 22, 393–408.

Todini, E. (2001). A Bayesian technique for conditioning radar precipitation estimates to rain-gauge measurement. Hydrol. Earth Syst. Sci., 5, 187199.

Villarini, G., Mandapaka, P. V., Krajewski, W. F., & Moore, R. J. (2008). Rainfall and sampling uncertainties: A rain gauge perspective. J. Geophys. Res., 113. doi:10.1029/2007JD009214.

Wilson, J. W., & Brandes, E. A. (1979). Radar measurement of rainfall – A summary. B. Am. Meteor. Soc., 60, 1048–1058.

Wu, S. J., Hsu, C. T., Lien, H. C., & Chang, C. H. (2015). Modeling the effect of uncertainties in rainfall characteristic flash flood warning based on rainfall thresholds. Nat. Hazards, 75(2), 1677–1771.

Wu, S. J., Lien, H., Chsu, C. T., Chang, C. H., & Shen, J. C. (2015). Modeling probabilistic radar rainfall estimation at ungauged location based on spatiotemporal errors which correspond to gauged data. Hydrol. Sci., 46(1), 39–59.

Zhu, D., Xuan, Y., & Cluckie I. (2014). Hydrological appraisal of operational weather radar rainfall estimates in the context of different modelling structures. Hydrol. Earth Syst. Sci., 18, 257272.

DOI: http://dx.doi.org/10.30536/j.ijreses.2020.v17.a3316

Refbacks

  • There are currently no refbacks.