CMADS Verification
CMADS V1.0+SWAT Verification in**Rivers Basins

     The performance of hydrological models in western China has been restricted due to the scarcity of meteorological observation stations in the region. However, the hydrological model is an effective toolfor analyzing the temporal and spatial scales of various surface processes at a large scale in western China. In this paper, the ** RiverBasins, which are located in Xinjiang and have a scarcity of observation stations, are selected as the study area. Moreover, the SWAT model is used inorder to significantly improve the accuracy of the input data. The SUFI2 algorithm is also used to optimize 26 sensitive parameters. Having completedthe verification of the two runoff observation and control stations (located atJinghe and Hot Spring) in the study area, a detailed analysis on the effects of soil moisture, evaporation and precipitation, as well as the temporal andspatial distribution is provided. The results show that the CMADS dataset can improve the performance of the SWAT model in western China. These improvements include the facts that the NSE coefficients are controlled at 0.659-0.942 on a monthly scale, and the runoff calibration results are also controlled at 0.526-0.815 on a daily scale.

Figure 4 The monthlysimulation results (2009-2013) from the SWAT model driven by the CMADS dataset

Validation by Dr.Xianyong Meng

Publish by Dr.Xianyong Meng