## 5 Conclusions  
This study introduced a pure satellite-based method to estimate GPP and Re, and partitioning Re from 2009 to 2011 in one typical alpine meadow on the Tibetan plateau. Using flux-tower measurements and chamber-based Re components measurements, we also validated and discussed its application and uncertainty. Temporal variation of GPP could be well explained by six satellite-based GPP estimations, including GPP_MOD5, GPP_MOD, GPP_MOD, GPP_VPM, GPP_PCM and GPP_AVM. Daily average GPP_EC in GS were 0.94, 1.09 and 1.09 g C m\({}^{-2}\) day\({}^{-1}\) from 2009 to 2011, respectively. In contrast, GPP_MOD and GPP_VPM provided the most reliable satellite-based GPP estimations (less than 10% of RPE) compared to GPP_EC. Then, using GPP_EC, GPP_MOD and GPP_VPM, together with MODISproducts, satellite-based Re estimations, Re_ECM, Re_MODM and Re_VPMM, were compared with the Re_EC. Daily Re_EC were 0.86, 0.93 and 0.77 g C m\({}^{-2}\) in GS, and 0.33, 0.28 and 0.17 g C m\({}^{-2}\) in NG from 2009 to 2011, respectively. All satellite-based Re estimations could give an alternative estimation of Re_EC with a negligible bias less than 0.12 and 0.08 g C m\({}^{-2}\) day\({}^{-1}\) of RMSE in GS and NG, respectively. Moreover, chamber-based Re (Re_CAM) partitioning of autotrophic (Ra_CAM) and heterotrophic (Rm_CAM) contributions showed that Ra_CAM/Re_CAM could be effectively reflected by all these three satellite-based Re partitions. Our results showed that 27% (10-48%), 43% (22-59%) and 56% (33-76%) of Re_EC were plant autotrophic respiration (Ra_EC) from 2009 to 2011, respectively, whose inter-annual variation was ascribed to soil water content dynamics. Our results suggested response of seasonal Ra and Rm to temperature change is different. Specifically, the temperature sensitivity of Ra_EC (Q\({}_{10,\text{Ra}}\)) with an average of 5.20 was significantly higher than that of Rm_EC with an average of 1.50 (Q\({}_{10,\text{Rm}}\)), and the inter-annual variation of Q\({}_{10,\text{Ra}}\) (4.14-7.31) also larger than Q\({}_{10,\text{Rm}}\) (1.42-1.60). Thus, this study suggested that response of Ra to temperature change might be stronger than Rm in this alpine meadow, which confirmed that partitioning Re into Ra and Rm facilitates a better understanding of carbon balance in this alpine meadow. High temporal-spatial resolution of remote products made this kind of satellite-based Re estimation and partitioning easy to upscale both at temporal and spatial scale, especially in the remote areas with scarce field observation.  
We thank the editors and reviewers for their insightful and valuable comments; and [PERSON] and [PERSON] for their help in manuscript improvement. This work was supported by the National Natural Science Foundation of China (No. 41571042; Name: Quantitative identification on the influence of climate change and human activities in the alpine meadow ecosystem on the Northern Tibet), the National Key Research and Development Program (No. 2016 YFC0502001; Name: Optimized configuration technologies for production and ecological functions on Tibet grassland), and the Strategic Priority Research Program of the Chinese Academy of Sciences (No. XDB03030401; Name: Effect of climate warming on alpine shrub and meadow ecosystem on the Tibetan plateau). [PERSON] and [PERSON] conceived and designed this study. [PERSON], [PERSON], [PERSON] and [PERSON] collected and analyzed the data. [PERSON], [PERSON], [PERSON] and [PERSON] contributed observation apparatus. [PERSON] wrote the paper with many valuable suggestions from all other co-authors.  
The authors declare no conflict of interest.