Acta Geographica Sinica ›› 2016, Vol. 71 ›› Issue (9): 1571-1587.doi: 10.11821/dlxb201609009

• Orginal Article • Previous Articles     Next Articles

Applicability evaluation of CFSR climate data for hydrologic simulation: A case study in the Bahe River Basin

Sheng HU1(), Mingming CAO1, Haijun QIU1, Jinxi SONG1, Jiang WU1, Yu GAO2, Jingzhong LI1, Kehong SUN2   

  1. 1. College of Urban and Environmental Science, Northwest University, Xi'an 710127, China
    2. Shaanxi Provincial Land Engineering Construction Group, Xi'an 710175, China
  • Received:2016-03-17 Revised:2016-04-22 Online:2016-11-25 Published:2016-11-28
  • Supported by:
    National Natural Science Foundation of China, No.41401602;The Project Supported by Natural Science Basic Research Plan in Shaanxi Province of China, No.2014JQ2-4021;Key Scientific and Technological Innovation Team Plan of Shaanxi Province, No.2014KCT-27;Graduate Student Innovation Project of Northwest University, No.YZZ15011


To discuss the applicability of CFSR reanalysis data in the hydrologic simulation of watersheds, taking the Bahe River Basin as a case, this paper uses two types of weather data to establish SWAT hydrologic model, and carries out the runoff simulation from 2001 to 2012 of the Bahe River Basin on yearly and monthly scales, and makes use of such evaluation methods as repression analysis, Nash-Sutcliffe Efficiency (NSE) and Percent Bias (PBIAS) to compare the simulation effect of both data. At last it puts forward CFSR weather data correction method. The research results show: (1) To some extent, CFSR climate data has applicability for hydrologic simulation in the Bahe River Basin, the R2 value of the simulated results is above 0.50, the Nash-Sutcliffe Efficiency is above 0.33, and |Percent Bias (PBIAS)| is below 14.8. Although the quality of the CFSR weather data has some problems, it basically achieves a satisfactory result in the hydrologic simulation of the Bahe River Basin after rainfall data correction. (2) The simulated flow of the CFSR weather data is higher than the observed flow, the reason may be that there are more rainy days and the rainfall intensity is much stronger according to the estimation of day-to-day rainfall data by CFSR, which usually leads to the fact that the data will simulate a higher base flow and flood peak discharge in terms of the Water Balance, except for individual years. (3) The relation between the CFSR rainfall data and the observed rainfall data of the Bahe River Basin can be displayed by a power exponent equation: y=1.4789x0. 8875 (R2 = 0.98, P <0.001); the fitted equation of each CFSR station varies slightly from others. The equation just lays a theoretical basis for correction of the CFSR rainfall data.

Key words: CFSR, weather data, hydrologic simulation, applicability evaluation, SWAT model, Bahe River Basin