대기 (Atmosphere)

  • 제25권2호
  • /
  • Pages.283-294
  • /
  • 2015
  • /
  • 1598-3560(pISSN)
  • /
  • 2288-3266(eISSN)
한국기상학회 (Korean Meteorological Society)
권호 표지
DOI QR코드

DOI QR Code

고밀도 지상강우관측망을 활용한 서울지역 정량적 실황강우장 산정

Quantitative Precipitation Estimation using High Density Rain Gauge Network in Seoul Area

  • 윤성심 (한국외국어대학교 차세대도시농림융합기상사업단) ;
  • 이병주 (한국외국어대학교 차세대도시농림융합기상사업단) ;
  • 최영진 (한국외국어대학교 차세대도시농림융합기상사업단)
  • 투고 : 2015.02.26
  • 심사 : 2015.04.14
  • 발행 : 2015.06.30
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

For urban flash flood simulation, we need the higher resolution radar rainfall than radar rainfall of KMA, which has 10 min time and 1km spatial resolution, because the area of subbasins is almost below $1km^2$. Moreover, we have to secure the high quantitative accuracy for considering the urban hydrological model that is sensitive to rainfall input. In this study, we developed the quantitative precipitation estimation (QPE), which has 250 m spatial resolution and high accuracy using KMA AWS and SK Planet stations with Mt. Gwangdeok radar data in Seoul area. As the results, the rainfall field using KMA AWS (QPE1) is showed high smoothing effect and the rainfall field using Mt. Gwangdeok radar is lower estimated than other rainfall fields. The rainfall field using KMA AWS and SK Planet (QPE2) and conditional merged rainfall field (QPE4) has high quantitative accuracy. In addition, they have small smoothed area and well displayed the spatial variation of rainfall distribution. In particular, the quantitative accuracy of QPE4 is slightly less than QPE2, but it has been simulated well the non-homogeneity of the spatial distribution of rainfall.

키워드

참고문헌

  1. Bae, D. H., J. H. Kim, and S. S. Yoon, 2005: Hydrologic Utilization of Radar-Derived Rainfall (I) Optimal Radar Rainfall Estimation. J. Korea Water Resour. Assoc., 38, 1039-1049. https://doi.org/10.3741/JKWRA.2005.38.12.1039
  2. Ehret, U., 2002: Rainfall and flood nowcasting in small catchments using weather radar, Ph. D thesis, University of Stuttgart.
  3. Eom, W. G., M. L. Oh, and J. S. Jung, 1996: Mean areal precipitation estimation using radar. Proceedings of the Korea Water Resources Association Conference Korea Water Resources Association, 226-231.
  4. Goovaerts, P., 1997: Geostatistics for Natural Resources Evaluation. Oxford Univ. Press, New-York, 4th printing in June 2005, 483 pp.
  5. Kim, B. S., J. B. Hong, H. S. Kim, and G. H. Choi, 2007: Combining radar and rain gauge rainfall estimates for flood forecasting using conditional merging method. J. Korean Soc. Civil Eng., 27, 255-265.
  6. Kim, H. K., D. I. Lee, C. H. Yu, and W. T. Kwon, 2002: Radar rainfall estimation using window probability matching method : 1. Establishment of Ze-R Relationship for Kwanak Mt, DWSR-88C at Summer, 1998. J. Korea Water Resour. Assoc., 35, 211-221. https://doi.org/10.3741/JKWRA.2002.35.2.211
  7. Lee, J. D., S. S. Yoon, and D. H. Bae, 2008: A study on the short-term forecast method using real-time on-site data. Proceedings of the Korea Water Resources Association Conference, Korea Water Resources Association, 111-114.
  8. Marshall, J. S., and W. Mc. Palmer, 1948: The distribution of raindrops with size. J. Atmos. Sci., 5, 165-166.
  9. Mohr, C. G., and R. L. Vaughan, 1979: An economical procedure for Cartesian interpolation and display of reflectivity factor data in three-dimensional space. J. Appl. Meteorol., 18, 661-670. https://doi.org/10.1175/1520-0450(1979)018<0661:AEPFCI>2.0.CO;2
  10. Nakakita, E., S. Ikebuchi, T. Nakamura, M. Kanmuri, O. Okuda, A. Yamaji, and T. Takasao, 1996: Short-term rainfall prediction method using a volume scanning radar and GPV data from numerical weather prediction. J. Geophys. Res., 101, 26181-26197. https://doi.org/10.1029/96JD01615
  11. Park, N. W., 2009: Comparison of univariate kriging algorithms for GIS-based thematic mapping with ground survey data. Korean J. Remote Sens., 25, 321-338. https://doi.org/10.7780/kjrs.2009.25.4.321
  12. Pegram, G. G. S., 2002: Spatial interpolation and mapping of rainfall : 3 Progress report to the Water Research Commission, for the period April 2001 to March 2002.
  13. Schilling, W., 1991: Rainfall data for urban hydrology: what do we need?. Atmos. Res., 27, 5-21. https://doi.org/10.1016/0169-8095(91)90003-F
  14. Sinclair, S., and G. Pegram, 2005: Combining radar and rain gauge rainfall estimates using conditional merging. Atmos. Sci. Lett., 6, 19-22. https://doi.org/10.1002/asl.85
  15. Vieux, B. E., P. B. Bedient, and E. Mazroi, 2005: Real-time urban runoff simulation using radar rainfall and physics-based distributed modeling for site-specific forecasts. 10th International Conference on Urban Drainage.
  16. Yoon, S. S., 2011: Development of Optimal Radar Rainfall Estimation with Orographic Effect and Urban Flood Forecasting Application Technique, Ph. D. dissertation, Sejong University, Seoul, Korea.
  17. Yoon, S. S., and D. H. Bae, 2013: Optimal rainfall estimation by considering elevation at the Han River Basin, South Korea. J. Appl. Meteor. Climatol., 52, 802-818. https://doi.org/10.1175/JAMC-D-11-0147.1
  18. Yoon, S. S., B. J. Lee, and Y. J. Choi, 2015: Derivation of data quality control strategy for high density rain gauge network in Seoul area. J. Korea Water Resour. Assoc., (printing).

피인용 문헌

  1. Evaluation of High-Resolution QPE data for Urban Runoff Analysis vol.48, pp.9, 2015, https://doi.org/10.3741/JKWRA.2015.48.9.719