CMADS Verification
CMADSV1.0+SWAT Verification in Heihe River basin
Verification

    This study used CMADS, TWS and CFSR datasets to force the SWAT model and evaluated their performance for streamflow simulation in the Heihe River basin. It is found that CFSR over estimates precipitation, especially insummer, but under estimates mean annual precipitation. In addition, the CMADSdata performes better than CFSR regarding both accuracy and spatial resolution, as CMADS introduces advanced assimilation technology and is bias corrected through China’s national automatic observation stations. For TWS, it does not perform well in China especially in Western China where climate stations are sparse[1].

ACMADS+SWATmodeBTWS+SWATmode CCFSR+SWATmode

Fig. 1.Simulation results of monthly average runoff of threedifferent modes at Qilian Mountain control station (2009-2013)

ACMADS+SWATmodeBTWS+SWATmode CCFSR+SWATmode

Fig. 2.Simulation results of monthly average runoff of threedifferent modes at ZhaMashenke control station (2009-2013)

ACMADS+SWATmodeBTWS+SWATmode CCFSR+SWATmode

Fig. 3.Simulation results of monthly average runoff of threedifferent modes at Ying Luoxia control station (2009-2013)



ACMADS+SWAT mode BTWS+SWAT mode CCFSR+SWAT mode

Fig. 4. Daily runoff simulation results of threedifferent modes at Qilian Mountain control station (2009-2013)

ACMADS+SWAT mode BTWS+SWAT mode CCFSR+SWAT mode

Fig. 5. Daily runoff simulation results of three differentmodes at ZhaMashenke control station (2009-2013)

ACMADS+SWAT mode BTWS+SWAT mode CCFSR+SWAT mode

Fig. 6.Simulation results of monthly average runoff of threedifferent modes at Ying Luoxia control station (2009-2013)

Table 1 Evaluation ofmonthly and daily matching results driven by three different modes


Driving  data

(Sub20)Qilian Mountain  control

station

(Sub13)ZhaMashenke control  

station

(Sub2)Ying Luoxia control

station

NS

R2

NS

R2

NS

R2

Monthly

CFSR +SWAT

0.32

0.21

0.49

0.50

0.45

0.46

CMADS+SWAT

0.75

0.85

0.95

0.95

0.92

0.95

TWS+SWAT

0.80

0.87

0.92

0.94

0.96

0.97

Daily

CFSR+SWAT

0.26

0.27

0.35

0.38

0.45

0.49

CMADS+SWAT

0.58

0.66

0.75

0.78

0.77

0.80

TWS+SWAT

0.62

0.68

0.74

0.77

0.77

0.79

[1]Meng, X.; Wang, H.; Cai, S.; Zhang, X.; Leng, G.; Lei, X.; Shi, C.; Liu, S.; Shang, Y. The China Meteorological Assimilation Driving Datasets for the SWAT Model (CMADS) Application in China: A Case Study in Heihe River Basin. Preprints 2016, 2016120091 (doi: 10.20944/preprints201612.0091.v2)