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JDR Vol.10 No.3 pp. 436-447
(2015)
doi: 10.20965/jdr.2015.p0436

Paper:

Numerical Experiments on Spatially Averaged Precipitation in Heavy Rainfall Event Using the WRF Model

Yuji Sugihara*, Sho Imagama**, Nobuhiro Matsunaga*, and Yukiko Hisada*

*Faculty of Engineering Sciences, Kyushu University
6-1 Kasuga Koen, Kasuga, Fukuoka 816-8580, Japan

**Mitsubishi Heavy Industries
3000 Tana, Chuo-ku, Sagamihara, Kanazawa 252-5293, Japan

Received:
December 18, 2014
Accepted:
April 27, 2015
Published:
June 1, 2015
Keywords:
heavy rainfall, spatially averaged precipitation, rain band, WRF model
Abstract

It is difficult to forecast hourly rainfall locally even using the latest meteorological models, although hourly rainfall averaged spatially to some extent can be used for calculating practical rainfall. This study conducts numerical experiments with triple nesting on the 2012 heavy rainfall event in northern Kyushu using the weather research and forecasting (WRF) model and examines the features of hourly rainfall averaged spatially. The dependence of rainfall is averaged spatially on a spatial averaging scale and clarified by comparing rainfall calculated by simulation using the WRF model with radar/AMeDAS precipitation analysis data. This study’s findings indicate the effective spatial averaging scale making relative error of calculated values to the observed ones minimum.

Cite this article as:
Y. Sugihara, S. Imagama, N. Matsunaga, and Y. Hisada, “Numerical Experiments on Spatially Averaged Precipitation in Heavy Rainfall Event Using the WRF Model,” J. Disaster Res., Vol.10, No.3, pp. 436-447, 2015.
Data files:
References
  1. [1]  H. Oshikawa, A. Hashimoto, K. Tsukahara, and T. Komatsu, “Impacts of Recent Climate Change on Flood Disaster and Preventive Measures,” Journal of Disaster Research, Vol.3, No.2, pp. 131-141, 2008.
  2. [2]  Y. Suzuki, S. Miyata, E. Nakakita, and S. Ikebuchi, “Analysis of the Temporal Accumulation Process of Rainfall Distributions Using Mesoscale Meteorological Model,” Annuals of Disaster Prevention Research Institute, Kyoto University, Vol.45 B, pp. 765-784, 2002 (in Japanese).
  3. [3]  H. Kusaka, A. Crook, J. Dudhia, and K. Wada, “Comparison of the WRF and MM5 Models for Simulation of Heavy Rainfall along the Baiu Front,” SOLA, Vol.1, pp. 197-200, 2005.
  4. [4]  K. L. Shrestha, A. Kondo, A. Kaga, and Y. Inoue, “Validation of Spatially Downscaled Mesoscale Precipitation for Hydrometeorological Modeling of Yodo River Basin,” Journal of Japan Society for Atmospheric Environment, Vol.45, No.2, pp. 81-88, 2010.
  5. [5]  H. Kusaka, A. Crook, J. C. Knievel, and J. Dudhia, “Sensitivity of the WRF Model to Advection and Diffusion Schemes for Simulation of Heavy Rainfall along the Baiu Front,” SOLA, Vol.1, pp. 177-180, 2005.
  6. [6]  Y. Oku, T. Takemi, H. Ishikawa, S. Kanada, and M. Nakano, “Representation of Extreme Weather during a Typhoon Landfall in Regional Meteorological Simulations: A Model Intercomparison Study for Typhoon Songda (2004),” Hydrological Research Letters, Vol.4, pp. 1-5, 2010.
  7. [7]  J. Liu, M. Bray, and D. Han, “Sensitivity of the Weather Research and Forecasting (WRF) Model to Downscaling Ratios and Storm Types in Rainfall Simulation,” Hydrological Processes, Vol.26, pp. 3012-3031, 2012.
  8. [8]  T. Takemi, K. Tatsumi, and H. Ishikawa, “A High-Resolution Numerical Analysis of the Effects of Complex Topography to Disastrous Rainstorm Development over an Urban Area: A Case Study of the 28 July 2008 Severe Local Rain Events in the Kinki Region,” Proc. the seventh International Conference on Urban Climate, 29 June–3 July 2009, Yokohama, Japan.
  9. [9]  T. Takemi, “The 100-m-Mesh Numerical Simulations of Severe Local Rainstorms by Representing Complex Terrain Features,” Annuals of Disaster Prevention Research Institute, Kyoto University, Vol.53 B, pp. 337-343, 2010 (in Japanese).
  10. [10]  T. Takemi, “Sensitivity Experiments of Severe Local Rainstorms to Parameterizations of Boundary-Layer and Cloud Processes,” Annuals of Disaster Prevention Research Institute, Kyoto University, Vol.54 B, pp. 293-301, 2011 (in Japanese).
  11. [11]  K. Tatsumi, T. Takemi, and H. Ishikawa, “A High-Resolution Weather Simulation System Based on the WRF Model: A Case Study for a Heavy Rainfall,” Annuals of Disaster Prevention Research Institute, Kyoto University, Vol.51 B, pp. 437-448, 2008 (in Japanese).
  12. [12]  S.-Y. Hong and J.-W. Lee, “Assessment of the WRF Model in Reproducing a Flash-Flood Heavy Rainfall Event over Korea,” Atmospheric Research, Vol.93, pp. 818-831, 2009.
  13. [13]  W. C. Skamarock, J. B. Klemp, J. Dudhia, D. O. Gill, D. M. Barker, M. G. Duda, X. Y. Huang, W. Wang, and J. G. Powers, “A Description of the Advanced Research WRF Version 3,” NCAR/TN-475+STR, 2008.
  14. [14]  H. Kusaka, “About a Regional Atmospheric Model, WRF,” NAGARE, Vol.28, No.1, 2009 (in Japanese).
  15. [15]  T. Ushiyama, A. Yorozuya, Y. Kanno, and K. Fukami, “Numerical Simulation of a Torrential Rainfall Event Occurred at Itabashi on July 5, 2010,” Journal of Japan Society of Civil Engineers, Ser. B1(Hydraulic Engineering), Vol.67, No.4, pp. I_493-I_498, 2011 (in Japanese).
  16. [16]  J. Yoshino, T. Nomura, J. Katayama, Y. Kinoshita, and T. Yasuda, “Verification for 24-hour Forecast of Pinpoint Precipitation Using the Mesoscale Meteorological Model MM5,” Annual Journal of Hydraulic Engineering, JSCE, Vol.52, pp. 325-330, 2008 (in Japanese).
  17. [17]  Y. Sugihara, S. Imagama, Y. Ohkuma, N. Matsunaga, Y. Hisada, and H. Li, “Numerical Sensitivity Experiments on Precipitation in a Heavy Rainfall Event Simulated by Using the WRF Model,” Journal of Japan Society of Civil Engineers, Ser. B1(Hydraulic Engineering), Vol.70, No.4, pp. I_541-I_546, 2014 (in Japanese).
  18. [18]  Japan Meteorological Agency, “The Heavy Rainfall Event in Northern Kyushu in July 2012,” Disaster Reports, 2012 (in Japanese), http://www.jma.go.jp/jma/kishou/books/saigaiji/saigaiji_2012.html [accessed in August, 2012]
  19. [19]  Meteorological Research Institute, “Generation Factors of the Heavy Rainfall Event in Northern Kyushu in July 2012,” Press Release, July 23, 2012 (in Japanese), http://www.jma.go.jp/linebreak jma/press/1207/23a/20120723_kyushu_gouu_youin.html [accessed in August, 2012]
  20. [20]  Y. Tachikawa, G. Nagatani, and K. Takara, “Assessment of Effectiveness of Spatially Distributed Input Information in Distributed Hydrological Modelling,” Annuals of Disaster Prevention Research Institute, Kyoto University, Vol.46 B, pp. 233-248, 2003 (in Japanese).

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