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JDR Vol.4 No.4 pp. 600-605
(2009)
doi: 10.20965/jdr.2009.p0272

Paper:

Uncertainty Evaluation in a Flood Forecasting Model Using JMA Numerical Weather Prediction

Hadi Kardhana* and Akira Mano**

*Water Resources Engineering Research Group, Institut Teknologi Bandung, Jl. Ganesha 10 Bandung, Jawa Barat, Indonesia

**Graduate School of Engineering, Tohoku University, 6-6-11-1110 Aramaki, Aza-Aoba, Aoba-ku, Sendai 980-8579, Japan

Received:
April 2, 2009
Accepted:
August 19, 2009
Published:
August 1, 2009
Keywords:
flood forecast, runoff model, uncertainty, quantitative precipitation forecasting
Abstract

Numerical weather prediction (NWP) is useful in flood prediction using a rainfall-runoff model. Uncertainty occurring in the forecast, however, adversely affects flood prediction accuracy, in addition to uncertainty inherent in the rainfall-runoff model. Clarifying this uncertainty and its magnitude is expected to lead to wider forecast applications. Taking the case of Japan’s Shichikashuku Dam, 6 flood events between 2002 and 2007 were analyzed. NWP was based on short-range forecasts by the Japan Meteorological Agency (JMA). The rainfall-runoff model is based on a distributed tank model. This research calculates uncertainty by identifying and quantifying the relative error of forecasts by a) NWP and b) the runoff model. Results showed that NAP is the main cause of flood forecast uncertainty. They also showed the correlation between forecast lead time and uncertainty. Uncertainty rises with longer lead time, corresponding to the magnitude of observed discharge and precipitation.

Page numbers have been changed. Old numbers: pp. 272-277
Cite this article as:
H. Kardhana and A. Mano, “Uncertainty Evaluation in a Flood Forecasting Model Using JMA Numerical Weather Prediction,” J. Disaster Res., Vol.4, No.4, pp. 600-605, 2009.
Data files:
References
  1. [1] B. Vincendon, V. Ducrocq, S. Diere, et al., “Flush flood forecasting within the PREVIEW project: value of high-resolution hydrometeorological coupled forecast,” Meteorol Atmos Phys., Vol.103, pp. 115-125, 2009.
  2. [2] C. G. Collier, “Flash flood forecasting: What are the limits of predictability?,” Quarterly Journal of The Royal Meteorolgical Society, Vol.133, pp. 3-23, 2007.
  3. [3] H. Kato and A. Mano, “Flood runoff model on one kilometer mesh for the Upper Chang Jiang River,” Proceeding of GIS & RS in Hydrology, Water Resources, and Environment, pp. 156-163 (CD-ROM), 2003.
  4. [4] H. Tatesawa, “Study on the transformation of flood hazard risk by the countermeasure facilities,” PhD Dissertation, Tohoku University, p.129, 2007.
  5. [5] T. M. Carpenter and K. P. Georgakakos, “Impacts of parametric and radar rainfall uncertainty on the ensemble streamflow simulations of a distributed hydrologic model,” Journal of Hydrology, Vol.298 pp. 202-221, 2004.
  6. [6] J. Ewen, G. O’Donnell, A. Burton, and E. O’Connell, “Errors and uncertainty in physically-based rainfall-runoff modelling of catchment change effects,” Journal of Hydrology, Vol.330 pp. 641-650, 2006.
  7. [7] H. Kardhana, H. Tatesawa, and A. Mano “Flood forecasting based on distributed runoff model and numerical model prediction,” River Basin Management, pp. 201-212, 2007.
  8. [8] R. H. Horton, “Rainfall interception,” Monthly Weather Review, Vol.47, pp. 603-623, 1919.
  9. [9] J. D. Jabro, “Estimation of saturated hydraulic conductivity of soils from particle size distribution and bulk density data,” ASAE, Vol.35, No.2, pp. 557-560, 1992.
  10. [10] Miyagi Prefecture, “Kuwaori and Souma Nakamura,” soil map with soil profile, 1/50000, 1998.
  11. [11] W. Collischonn, R. Haas, I. Andreolli, and C. E. M. Tucci, “Forecasting River Uruguay flow using rainfall forecasts from a regional weather-prediction model,” Journal of Hydrology, Vol.305, pp. 87-98, 2005.

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Last updated on Dec. 05, 2019