Based on twoleaf light use efficiency model (TLLUE), gross primary productivity (GPP_TL) with 500 m resolution in China from 2000 to 2011 was calculated by using MODIS remote sensing data, observed meteorological data and flux data. The consistency between GPP_TL and global GPP productsFluxcom GPP（GPP_MPI）in sites and regions was compared. The results showed that GPP_TL and GPP_MPI had good consistency with GPP measured at sites, and GPP_TL improved GPP simulation accuracy compared with GPP_MPI(R2 increased 0.155, ERMS decreased 0.650 g C/(m2·d); from 2000 to 2011, the spatial distribution of GPP in the Southeast coast of China was the highest, and decreased in turn to the Northwest inland; the annual fluctuation was larger in the Northwest inland, but smaller in the Northeast and South China; within a year, the total amount of GPP in the whole country presented a clear law of high summer and low winter; the monthly total of GPP_TL and GPP_MPI in China in the past 12 years was significantly positively correlated (R2=0.990,ERMS=0.097 P g C/month); The annual mean difference between GPP_TL and GPP_MPI in 73.0% vegetation area was within 400 g C/(m2·a); the monthly mean of GPP_TL and GPP_MPI in 94.4% vegetation area was significantly positively correlated (R2=0.692).

gross primary productivity(GPP); twoleaf light use efficiency model; consistency analysis