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Simulating River Discharge in a Snowy Region of Japan Using Output from a Regional Climate Model : Volume 35, Issue 35 (02/07/2013)

By Ma, X.

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Book Id: WPLBN0003985156
Format Type: PDF Article :
File Size: Pages 6
Reproduction Date: 2015

Title: Simulating River Discharge in a Snowy Region of Japan Using Output from a Regional Climate Model : Volume 35, Issue 35 (02/07/2013)  
Author: Ma, X.
Volume: Vol. 35, Issue 35
Language: English
Subject: Science, Advances, Geosciences
Collections: Periodicals: Journal and Magazine Collection (Contemporary), Copernicus GmbH
Publication Date:
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications


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Hara, M., Kawase, H., Adachi, S., Fujita, M., Takahashi, H. G., Kimura, F.,...Yoshikane, T. (2013). Simulating River Discharge in a Snowy Region of Japan Using Output from a Regional Climate Model : Volume 35, Issue 35 (02/07/2013). Retrieved from

Description: Research Institute for Global Change, Japan Agency for Marine-Earth Science and Technology, Kanagawa, Japan. Snowfall amounts have fallen sharply along the eastern coast of the Sea of Japan since the mid-1980s. Toyama Prefecture, located approximately in the center of the Japan Sea region, includes high mountains of the northern Japanese Alps on three of its sides. The scarcity of meteorological observation points in mountainous areas limits the accuracy of hydrological analysis. With the development of computing technology, a dynamical downscaling method is widely applied into hydrological analysis. In this study, we numerically modeled river discharge using runoff data derived by a regional climate model (4.5-km spatial resolution) as input data to river networks (30-arcseconds resolution) for the Toyama Prefecture. The five main rivers in Toyama (the Oyabe, Sho, Jinzu, Joganji, and Kurobe rivers) were selected in this study. The river basins range in area from 368 to 2720 km2. A numerical experiment using climate comparable to that at present was conducted for the 1980s and 1990s. The results showed that seasonal river discharge could be represented and that discharge was generally overestimated compared with measurements, except for Oyabe River discharge, which was always underestimated. The average correlation coefficient for 10-year average monthly mean discharge was 0.8, with correlation coefficients ranging from 0.56 to 0.88 for all five rivers, whereas the Nash-Sutcliffe efficiency coefficient indicated that the simulation accuracy was insufficient. From the water budget analysis, it was possible to speculate that the lack of accuracy of river discharge may be caused by insufficient accuracy of precipitation simulation.

Simulating river discharge in a snowy region of Japan using output from a regional climate model

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