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

Ma, X.; Kawase, H.; Adachi, S.; Fujita, M.; Takahashi, H. G.; Hara, M.; Ishizaki, N.; Yoshikane, T.; Hatsushika, H.; Wakazuki, Y.; Kimura, F.
June 2013
Advances in Geosciences;2013, Vol. 35, p55
Academic Journal
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.


Related Articles

  • Future Projection of Extreme Heavy Snowfall Events With a 5‐km Large Ensemble Regional Climate Simulation. Sasai, T.; Kawase, H.; Kanno, Y.; Yamaguchi, J.; Sugimoto, S.; Yamazaki, T.; Sasaki, H.; Fujita, M.; Iwasaki, T. // Journal of Geophysical Research. Atmospheres;12/27/2019, Vol. 124 Issue 24, p13975 

    We have recently experienced several heavy snowfall events, but still do not sufficiently understand how global warming will impact changes in local extreme snowfall events. The analysis relevant to the extreme events requires ensemble experiments with high‐resolution regional climate...

  • Regional, Very Heavy Daily Precipitation in CMIP5 Simulations. KAWAZOE, SHO; GUTOWSKI JR., WILLIAM J. // Journal of Hydrometeorology;Aug2013, Vol. 14 Issue 4, p1228 

    The authors analyze the ability of global climate models (GCMs) from phase 5 of the Coupled Model Intercomparison Project (CMIP5) multimodel ensemble to simulate very heavy daily precipitation and its supporting processes, comparing them with observations. Their analysis focuses on an upper...

  • On the Suitability of GCM Runoff Fields for River Discharge Modeling: A Case Study Using Model Output from HadGEM2 and ECHAM5. Weiland, F. C. Sperna; van Beek, L. P. H.; Kwadijk, J. C. J.; Bierkens, M. F. P. // Journal of Hydrometeorology;Feb2012, Vol. 13 Issue 1, p140 

    The representation of hydrological processes in land surface schemes (LSSs) has recently been improved. In this study, the usability of GCM runoff for river discharge modeling is evaluated by validating the mean, timing, and amplitude of the modeled annual discharge cycles against observations....

  • A Distributed Snow-Evolution Modeling System (SnowModel). Liston, Glen E.; Elder, Kelly // Journal of Hydrometeorology;Dec2006, Vol. 7 Issue 6, p1259 

    SnowModel is a spatially distributed snow-evolution modeling system designed for application in landscapes, climates, and conditions where snow occurs. It is an aggregation of four submodels: MicroMet defines meteorological forcing conditions, EnBal calculates surface energy exchanges, SnowPack...

  • WRF simulation of a precipitation event over the Tibetan Plateau, China -- an assessment using remote sensing and ground observations. Maussion, F.; Scherer, D.; Finkelnburg, R.; Richters, J.; Yang, W.; Yao, T. // Hydrology & Earth System Sciences;2011, Vol. 15 Issue 6, p1795 

    Meteorological observations over the Tibetan Plateau (TiP) are scarce, and precipitation estimations over this remote region are difficult. The constantly improving capabilities of numerical weather prediction (NWP) models offer the opportunity to reduce this problem by providing precipitation...

  • Effects of time step size on the simulation of tropical climate in NCAR-CAM3. Mishra, Saroj; Sahany, Sandeep // Climate Dynamics;Aug2011, Vol. 37 Issue 3/4, p689 

    This paper describes the effects of time step on the simulation of tropical climate in the NCAR-Community Atmosphere Model version 3 (CAM3). A set of multi-year integrations are carried out in a real-planet framework using actual land-ocean distribution and observed sea surface temperature. Over...

  • Impact of spatial resolution on the modelling of the Greenland ice sheet surface mass balance between 1990-2010, using the regional climate model MAR. Franco, B.; Fettweis, X.; Lang, C.; Erpicum, M. // Cryosphere;2012, Vol. 6 Issue 3, p695 

    The article presents a study which focuses on the use of regional climate model Modèle Atmosphérique Régional (MAR) for modeling the Greenland ice sheet (GrIS) surface mass balance (SMB). It says that an energy balance-base snow model which allows feedbacks between the surface and the...

  • An improved simple snow-atmosphere-soil transfer model. Liu, HuiZhi; Zhai, XiaoDong; Sun, ShuFen; Feng, JianWu; Wang, Lei // SCIENCE CHINA Earth Sciences;Jul2012, Vol. 55 Issue 7, p1206 

    On the basis of a simple snow-atmosphere-soil transfer (SAST) model previously developed, this paper presents an improved snow-atmosphere-soil transfer (ISAST) model that has a new numerical scheme and an improved method of layering the snowpack. The new model takes the snow cover temperature...

  • Observed and simulated inter-decadal changes in the structure of Southern Hemisphere large-scale circulation. Freitas, Ana; Frederiksen, Jorgen; Whelan, Jennifer; O'Kane, Terence; Ambrizzi, Tércio // Climate Dynamics;Dec2015, Vol. 45 Issue 11/12, p2993 

    Several studies have identified that, in the mid-1970s to early 1980s, a major shift occurred in the structure of the large-scale circulation in both hemispheres. This work employs the CSIRO Mk3L general circulation model in ensemble simulations with observed sea surface temperatures (SSTs) and...


Read the Article


Sorry, but this item is not currently available from your library.

Try another library?
Sign out of this library

Other Topics