Correcting Radar Rainfall Estimates Based on Ground Elevation Function

https://doi.org/10.22146/jcef.49395

Roby Hambali(1*), Djoko Legono(2), Rachmad Jayadi(3)

(1) Department of Civil and Environmental Engineering, Universitas Gadjah Mada, Yogyakarta, INDONESIA Department of Civil Engineering, Bangka Belitung University, INDONESIA
(2) Department of Civil and Environmental Engineering, Universitas Gadjah Mada, Yogyakarta, INDONESIA
(3) Department of Civil and Environmental Engineering, Universitas Gadjah Mada, Yogyakarta, INDONESIA
(*) Corresponding Author

Abstract


X-band radar gives several advantages for quantitative rainfall estimation, involving higher spatial and temporal resolution, also the ability to reduce attenuation effects and hardware calibration errors. However, the estimates error due to attenuation in heavy rainfall condition cannot be avoided. In the mountainous region, the impact of topography is considered to contribute to radar rainfall estimates error. To have more reliable estimated radar rainfall to be used in various applications, a rainfall estimates correction needs to be applied. This paper discusses evaluation and correction techniques for radar rainfall estimates based on ground elevation function. The G/R ratio is used as a primary method in the correction process. The novel approach proposed in this study is the use of correction factor derived from the relationship between Log (G/R) parameter and elevation difference between radar and rain gauge stations. A total of 4590 pairs of rainfall data from X-band MP radar and 15 rain gauge stations in the Mt. Merapi region were used in evaluation and correction process. The results show the correction method based on the elevation function is relatively good in correcting radar rainfall depth with values of Log (G/R) decreased up to 81.1%, particularly for light rainfall (≤ 20 mm/hour) condition. Also, the method is simple to apply in a real-time system.

Keywords


X-band MP radar; Evaluation and Correction; Mountainous region; Elevation function

Full Text:

PDF


References

Allegretti, M, et al., 2012. X-Band Mini Radar for Observing and Monitoring Rainfall Events.. Atmospheric and Climate Sciences, Volume 2, pp. 290-297.

Burcea, S, Cheval, S, Dumitrescu, A & Antonescu, 2012. Comparison between Radar Estimations and Rain Gauge Precipitations in the Moldavian Plateau (Romania). Environmental Engineering and Management Journal, p. 723–731.

DAAC, A., 2015. ALOS PALSAR_Radiometric_Terrain_Corrected_high_res; Includes Material © JAXA/METI 2010. [Online]
Available at: DOI: 10.5067/Z97HFCNKR6VA
[Accessed 24 October 2017].

Delrieu, G, et al., 2009. Weather Radar and Hydrology.. Advances in Water Resources, 32(7), pp. 969-974.

Gabella, M, Joss, J & Perona, G, 2000. Optimizing Quantitative Precipitation Estimates Using a Noncoherent and a Coherent Radar Operating on the Same Area. Journal of Geophysical Research, 105(D2), p. 2237–2245.

Gabella, M, Joss, J, Perona, G & Galli, G, 2001. Accuracy of Rainfall Estimates by Two Radars in the Same Alpine Environment Using Gage Adjustment.. Journal of Geophysical Research, 106(D6), p. 5139–5150.

Germann, U, Galli, G, Boscacci, M & Bolliger, M, 2006. Radar Precipitation Measurement in a Mountainous Region.. Quarterly Journal of the Royal Meteorological Society, 132(618A), p. 1669–1692.

Hambali, R, et al., 2018. Rain Behaviour at Mt. Merapi Area as Observed by XMPR and ARR.. Applied Mechanics and Materials, Volume 881, pp. 34-41.

Hirano, K, et al., 2014. Composite Rainfall Map from C-band Conventional and X-band Dual-polarimetric Radars for the Whole of Japan, Garmisch-Partenkirchen, Germany. 8th European Conference on Radar in Meteorology and Hidrology, pp. 1-5.

Hong, Y & Gourley, J.J, 2015. Radar Hydrology: Principles, Models, and Applications, s.l.: Boca Raton: CRC Press..

Krajewski, W.F, Villarini, G & Smith, J.A, 2010. Radar-Rainfall Uncertainties.. Bulletin of the American Meteorological Society, 91(1), pp. 87-94.

Orellana-alvear, J, Rolando, C, Rollenbeck, R & Bendix, J, 2019. Optimization of X-Band Radar Rainfall Retrieval in the Southern Andes of Ecuador Using a Random Forest Model. Remote Sensing, 11(1632), pp. 1-20.

Ozkaya, A & Akyurek, 2019. Evaluating the Use of Bias ‑ Corrected Radar Rainfall Data in Three Flood Events in Samsun, Turkey. Natural Hazards.

Putra, S.S, et al., 2019. Point-Based Rainfall Intensity Information System in Mt. Merapi Area by X-band Radar. Journal of Disaster Research, 14(1), pp. 80-89.

Rossa, AM, Cenzon, G & Monai, M, 2010. Quantitative Comparison of Radar QPE to Rain Gauges for the 26 September 2007 Venice Mestre Flood.. Natural Hazards and Earth System Science, 10(2), pp. 371-377.

Sahlaoui, Z & Mordane, S, 2019. Radar Rainfall Estimation in Morocco : Quality Control and Gauge Adjustment.. Hydrology, Volume 6, pp. 1-13.

Sebastianelli, S, 2012. Quantitative Precipitation Estimates from Dual-Polarization Weather Radar in Lazio Region. Roma, Sapienza Universita.

Sebastianelli, S, Russo, F, Napolitano, F & Baldini, L, 2013. On Precipitation Measurements Collected by a Weather Radar and a Rain Gauge Network. Natural Hazards and Earth System Science, 13(3), p. 605–623.

Shakti, P.C, et al., 2012. Rainfall Estimation in Mountainous Regions Using X-band Polarimetric Weather Radar.. s.l., The Seventh European Conference on Radar in Meteorology and Hydrology..

Shi, Z, Chen, H, Chandrasekar, V & He, J, 2017. Deployment and Performance of an X-band Dual-Polarization Radar during the Southern China Monsoon Rainfall Experiment.. Atmosphere, 9(4), pp. 1-20.

Tabary, P, 2007. The New French Operational Radar Rainfall Product, Part I : Methodology. American Meteorological Society, Volume 22, pp. 393-408.

Van De Beek, C.Z, et al., 2010. Performance of High-Resolution X-band Radar for Rainfall Measurement in The Netherlands. Hydrology and Earth System Sciences, 14(2), pp. 205-221.

Villarini, G. & Krajewski, W.F, 2010. Review of the Different Sources of Uncertainty in Single Polarization Radar-Based Estimates of Rainfall.. Surveys in Geophysics, 31(1), pp. 107-129.

Yoon, S.-S. & Bae, D.-H, 2013. Optimal Rainfall Estimation by Considering Elevation in the Han River Basin, South Korea. Journal of Applied Meteorology and Climatology, p. 802–818.

Young, C.B, et al., 1999. An Evaluation of NEXRAD Precipitation Estimates in Complex Terrain.. Journal of Geophysical Research, 104(D16), p. 19691–19703.

Yu, N, Gaussiat, N & Tabary, P , 2018. Polarimetric X‐band Weather Radars for Quantitative Precipitation Estimation in Mountainous Regions.. Quarterly Journal of the Royal Meteorological Society, 144(717), pp. 2603-2619.



DOI: https://doi.org/10.22146/jcef.49395

Article Metrics

Abstract views : 2240 | views : 2591

Refbacks

  • There are currently no refbacks.


Bookmark and Share


Copyright (c) 2022 The Author(s)

The content of this website is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
ISSN 5249-5925 (online) | ISSN 2581-1037 (print)
Jl. Grafika No.2 Kampus UGM, Yogyakarta 55281
Email : jcef.ft@ugm.ac.id
Web Analytics JCEF Stats