DOI QR코드

DOI QR Code

A study on spatial error occurrence characteristics of precipitation estimation of rainfall radar

강우레이더 강수량 관측의 공간적 오차 발생 특성 연구

  • Hwang, Seokhwana (Department of Hydro Science and Engineering Research, Korea Institute of Civil Engineering and Building Technology) ;
  • Yoon, Jung Soo (Department of Hydro Science and Engineering Research, Korea Institute of Civil Engineering and Building Technology) ;
  • Kang, Narae (Department of Hydro Science and Engineering Research, Korea Institute of Civil Engineering and Building Technology)
  • 황석환 (한국건설기술연구원 수자원하천연구본부) ;
  • 윤정수 (한국건설기술연구원 수자원하천연구본부) ;
  • 강나래 (한국건설기술연구원 수자원하천연구본부)
  • Received : 2022.10.25
  • Accepted : 2022.11.21
  • Published : 2022.12.31

Abstract

A study on a method to overcome the limitations of the topographical and hydrological observation environment for estimating the QPE with high consistency with the ground rainfall by utilizing the spatiotemporal observation advantages of the rainfall radar for use in flood forecasting, and quantitative observations of localized rainfall due to these limiting conditions Uncertainty should be identified in terms of flood analysis. Against this background, in this study, 22 major heavy rain events in 2016 were analyzed for each of Mt. Biseul (BSL), Mt. Sobaek (SBS), Mt. Gari (GRS), Mt. Mohu (MHS), and Mt. Seodae (SDS) to determine the observation distance and altitude. The uncertainty of observation was quantified and an error map was derived. As a result of the analysis, it was found that, on average, the rainfall radar exceeded 10% up to 100 km and 30% over 150 km. Based on the average radar operating altitude angle, it was found that the error for the altitude was approximately 10% or less up to the second altitude angle, 20% at the third or higher altitude angle, and more than 50% at the fourth altitude angle or higher.

홍수예보에 활용하기 위해 강우레이더의 시공간적 관측 장점을 살려 지상강우량과 정합성 높은 QPE 추정을 위한 지형적, 수문학적 관측 환경의 한계를 극복하기 위한 방법에 대한 연구와 이러한 한계 조건으로 인해 집중호우 관측의 정량적 불확실도를 홍수해석 측면에서 규명하여야 한다. 이러한 배경에서 본 연구에서는 비슬산(BSL), 소백산(SBS), 가리산(GRS), 모후산(MHS), 서대산(SDS) 강우레이더 각각에 대하여 2016년 22개 주요 호우사상을 분석하여 관측 거리와 고도에 따른 관측의 불확실도를 정량화하고 오차지도를 유도하였다. 분석결과 강우레이더 평균적으로 100 km까지는 대략 10% 이하, 150 km 이상에서는 30%를 초과하는 것으로 나타났다. 고도에 대한 오차는 레이더 운영 고도각 평균을 기준으로 2번째 고도각까지는 대략 10% 이하, 3번째 이상에서는 20%, 4번째 고도각 이상에서는 50% 초과하는 것으로 나타났다.

Keywords

Acknowledgement

이 논문은 행정안전부 기후변화대응 AI기반 풍수해 위험도 예측기술개발 사업의 지원을 받아 수행된 연구임(2022-MOIS61-002).

References

  1. Austin, P.M. (1987). "Relation between measured radar reflectivity and surface rainfall." Monthly Weather Review, Vol. 115, No. 5, pp. 1053-1070. https://doi.org/10.1175/1520-0493(1987)115<1053:RBMRRA>2.0.CO;2
  2. Borga, M. (2002). "Accuracy of radar rainfall estimates for streamflow simulation." Journal of Hydrology, Vol. 267, No. 1-2, pp. 26-39. https://doi.org/10.1016/S0022-1694(02)00137-3
  3. Butts, M.B., Payne, J.T., Kristensen, M., and Madsen, H. (2004). "An evaluation of the impact of model structure on hydrological modelling uncertainty for streamflow simulation." Journal of Hydrology, Vol. 298, No.1-4, pp. 242-266. https://doi.org/10.1016/j.jhydrol.2004.03.042
  4. Carpenter, T.M., and Georgakakos, K.P. (2004). "Impacts of parametric and radar rainfall uncertainty on the ensemble streamflow simulations of a distributed hydrologic model." Journal of Hydrology, Vol. 298, No. 1-4, pp. 202-221. https://doi.org/10.1016/j.jhydrol.2004.03.036
  5. Ciach, G.J., Krajewski, W.F., and Villarini, G. (2007). "Producterror-driven uncertainty model for probabilistic quantitative precipitation estimation with NEXRAD data." Journal of Hydrometeorology, Vol. 8, No. 6, pp. 1325-1347. https://doi.org/10.1175/2007JHM814.1
  6. Germann, U., Galli, G., Boscacci, M., and Bolliger, M. (2006). "Radar precipitation measurement in a mountainous region." Quarterly Journal of the Royal Meteorological Society: A Journal of the Atmospheric Sciences, Applied Meteorology and Physical Oceanography, Vol. 132, No. 618, pp. 1669-1692. https://doi.org/10.1256/qj.05.190
  7. Han River Flood Control Office (HRFCO) (2015). Partially supplemented rainfall radar master plan.
  8. Han River Flood Control Office (HRFCO) and Ministry of Environment (ME) (2018). Evaluation of hydrological usability and establishment of utilization system of rainfall radar (III).
  9. Han River Flood Control Office (HRFCO) and Ministry of Environment (ME) (2019). Evaluation of hydrological usability and establishment of utilization system of rainfall radar (IV).
  10. Han River Flood Control Office (HRFCO) and Ministry of Environment (ME) (2020). Evaluation of hydrological usability and establishment of utilization system of rainfall radar (V).
  11. Han River Flood Control Office (HRFCO) and Ministry of Environment (ME) (2021). Evaluation of hydrological usability and establishment of utilization system of rainfall radar (VI).
  12. Han River Flood Control Office (HRFCO) and Ministry of Land, Infrastructure and Transport (MLIT) (2017). Evaluation of hydrological usability and establishment of utilization system of rainfall radar (II).
  13. Hossain, F., Anagnostou, E.N., Dinku, T., and Borga, M. (2004). "Hydrological model sensitivity to parameter and radar rainfall estimation uncertainty." Hydrological Processes, Vol. 18, No. 17, pp. 3277-3291. https://doi.org/10.1002/hyp.5659
  14. Hunter, S.M. (1996). "WSR-88D radar rainfall estimation: Capabilities, limitations and potential improvements." National Weather Digest, Vol. 20, No. 4, pp. 26-38.
  15. Krajewski, W.F., and Georgakakos, K.P. (1985). "Synthesis of radar rainfall data." Water Resources Research, Vol. 21, No. 5, pp. 764-768. https://doi.org/10.1029/WR021i005p00764
  16. Krajewski, W.F., and Smith, J.A. (2002). "Radar hydrology: rainfall estimation." Advances in Water Resources, Vol. 25, No. 8-12, pp. 1387-1394. https://doi.org/10.1016/S0309-1708(02)00062-3
  17. Krajewski, W.F., Raghavan, R., and Chandrasekar, V. (1993). "Physically based simulation of radar rainfall data using a space time rainfall model." Journal of Applied Meteorology and Climatology, Vol. 32, No. 2, pp. 268-283. https://doi.org/10.1175/1520-0450(1993)032<0268:PBSORR>2.0.CO;2
  18. Marshall, J.S., and Palmer, W.Mc.K. (1948). "The distribution of raindrops with size" Journal of Applied Meteorology, Vol. 5, No. 4, pp. 165-166. https://doi.org/10.1175/1520-0469(1948)005<0165:TDORWS>2.0.CO;2
  19. Rico-Ramirez, M.A., Cluckie, I.D., Shepherd, G., and Pallot, A. (2007). "A high-resolution radar experiment on the island of Jersey." Meteorological Applications: A Journal of Forecasting, Practical Applications, Training Techniques and Modelling, Vol. 14, No. 2, pp. 117-129. https://doi.org/10.1002/met.13
  20. Ryzhkov, A.V., Giangrande, S.E., and Schuur, T.J. (2005). "Rainfall estimation with a polarimetric prototype of WSR-88D." Journal of Applied Meteorology, Vol. 44, No. 4, pp.502-515. https://doi.org/10.1175/JAM2213.1
  21. Wilson, J.W., and Brandes, E.A. (1979). "Radar measurement of rainfall - A summary." Bulletin of the American Meteorological Society, Vol. 60, No. 9, pp. 1048-1060. https://doi.org/10.1175/1520-0477(1979)060<1048:RMORS>2.0.CO;2