Validation of MODIS-GPP product at 10 flux sites in northern China

Abstract

Abstract Gross primary production (GPP) is an important variable in studies of the carbon cycle and climate change. The Moderate Resolution Imaging Spectroradiometer (MODIS)-GPP product (MOD17) provides global GPP data for terrestrial ecosystems; however, it is not well validated in China. In this study, an eddy covariance (EC) system observed GPP at 10 sites in northern China and was used to validate MOD17. The results indicated that MOD17 presents a strong bias in the study region due to the meteorological data, MODIS FPAR (fraction of absorbed photosynthetically active radiation) (MOD15), and the model parameters in the MODIS-GPP algorithm, Biome Parameters Look Up Table (BPLUT). Maximum light-use efficiency (ϵ0) had the strongest impact on the predicted GPP of the MODIS-GPP algorithm. After using the inputs observed in situ and improving parameters in the MODIS-GPP algorithm, the model could explain 85% of the EC-observed GPP of the sites, whereas the MODIS-GPP algorithm without in situ inputs and parameters only explained 26% of EC-observed GPP. Acknowledgements This work was supported by the National High-tech Programme (863) of China (grant number: 2009AA122104), the Chinese State Key Basic Research Project (grant number: 2009CB421305), and the National Natural Science Foundation of China (grant number: 40901095). Flux and meteorological data were provided by Coordinated Observations and Integrated Research over Arid and Semi-arid China (COIRAS) (led by the Key Laboratory of Regional Climate-Environment Research for Temperate East Asia (REC-TEA)). Notes