## 5 Conclusions  
According to the CLMS.0 technical note, the DGVM was not tested in the development of the CLMS.0 and is no longer scientifically supported. The Functionally Assembled Terrestrial Ecosystem Simulator (FATES) is an actively developed DGVM for the CLM5.0. FATES was derived from the CLM Ecosystem Demography Model and is a cohort model of vegetation competition and co-existence that is mainly used to study trees of various PFTs, while the study region in this paper is mainly covered by grass. In this paper, after modifying the establishment and survival parameterizations (BGCDV_CTL parameterization), PFTs were able to establish over the whole TP. We evaluated simulations for ecosystem productivity by using CLM5.0-DGVM on the TP. The results showed that the simulated  
Figure 10: Annual changes in the GLASS GPP anomaly, simulated GPP anomaly in CLM5.0-BGCDV, temperature anomaly, and precipitation anomaly. ecosystem productivity generally coincided with the observations, while overestimating the length of the growing season. Then, we modified the seasonal-deciduous phenology parameterization (BGCDV_NEW experiment) and compared it to the BGCDV_CTL experiment; the BGCDV_NEW experiment simulations reduced the biases in the simulated length of the growing season. Monthly variations in GPP showed that the BGCDV_CTL experiment displayed the best performance at the three sites considered. Compared to the GLASS, NIRv, FLUXCOM, and MODIS GPP products, the average bias of the simulated GPP in the BGCDV_NEW experiments for these three sites was reduced by 0.502 gC\(\cdot\)m\({}^{-2}\cdot\)d\({}^{-1}\), 1.409 gC\(\cdot\)m\({}^{-2}\cdot\)d\({}^{-1}\), 0.424 gC\(\cdot\)m\({}^{-2}\cdot\)d\({}^{-1}\), and 0.376 gC\(\cdot\)m\({}^{-2}\cdot\)d\({}^{-1}\), respectively. Compared to MEaSURES, the percentage of vegetation from the BGCDV_NEW experiment was greater in the semi-arid regions of the TP. The simulated proportion of bare soil from the BGCDV_NEW experiment tended to decrease in the semi-arid and arid regions of the TP. The climatology of the remote sensing GPP products and the simulated GPP showed similar patterns, with GPP increasing from northwest to southeast, while the simulations overestimated GPP in the semi-arid and arid regions of the TP. From 1982 to 2018, the climate on the TP showed an overall warming and wetting trend, and GPP showed an increasing trend in most regions of the TP. Partial correlations between the remote sensing products and temperature indicated that the increase in GPP on the TP was mainly affected by climate warming. Partial correlations between the simulated GPPs and precipitation indicated that precipitation increased in the central region of the TP, leading to the increase in the simulated GPPs in the central region of the TP. The annual changes in the remote sensing GPP anomalies and the BGCDV_NEW experiment GPP anomaly indicated that the variance in the remote sensing GPPs was weaker than that in the simulated GPP from the BGCDV_NEW experiment. The correlation between the BGCDV_NEW experiment GPP and temperature was smaller than that of the GLASS and NIRv GPPs, which indicates that the GLASS and NIRv GPPs were more sensitive to temperature than the simulated GPP from the BGCDV_NEW experiment. The simulated ecosystem productivity from the revised CLM5.0-DGVM model generally coincided with the observations, although the evaluation of ecosystem productivity was only conducted at three sites on the TP. There is a lack of validation of the carbon flux caused by using the revised CLM5.0-DGVM model in the northwest of the TP. In addition, the pattern of the simulated GPP from the revised CLM5.0-DGVM model was similar to that of the remote sensing products, while the BGCDV_NEW experiment overestimated GPP in the semi-arid and arid regions of the TP and underestimated GPP on the southeast edge of the TP. Great uncertainty still exists regarding the performance of remote sensing in the high-altitude regions of the TP.