Research on the characteristics of carbon and water fluxes and water use efficiency（WUE）in the al‐ pine meadow ecosystem of the Qinghai-Xizang Plateau is of crucial significance for accurately assessing the car‐ bon balance，water cycle，and carbon-water coupling of the alpine grassland ecosystem under the background of climate change. In this study，based on the observation data made using eddy correlation in the alpine meadow on the eastern Qinghai-Xizang Plateau from 2012 to 2017，from the Maqu observation point of the Zoige Wet‐ land Ecosystem Research Station of the Northwest Institute of Eco-Environment and Resources，Chinese Academy of Sciences，we analyzed the changes in carbon and water fluxes and WUE during the growing season. By combining multiple stepwise regression and structural equation modeling，we explored the main driving factors of carbon and water fluxes and WUE during the growing season. The results indicate that：（1）The average annual net ecosystem CO2 exchange（NEE），ecosystem respiration（Re），and total gross primary productivity （GPP）of the Maqu alpine meadow ecosystem over 6 years were -109. 7，798. 6，and 908. 3 gC·m-2·a-1，respectively，showing an overall carbon sink；the annual average evapotranspiration（ET）is 446. 5 kg·m-2·a-1 the 6-year average water use efficiency（WUE）was 2. 0 gC·kg-1.（2）The daily variations of NEE and GPP during the growing season showed a distinct unimodal pattern，peaking around 14:00（Beijing Time，the same as after），while Re showed a relatively flat diurnal pattern，lower slightly at night than during the day；the daily variation of ET exhibited a unimodal pattern，with peak monthly and monthly accumulative values in July；WUE dis‐ played an asymmetric "U" curve with the minimum value at 13:00-14:00，showing significant daily and monthly variations in July and August.（3）During the growing season，both multiple stepwise regression and structural equation models confirmed the dominant role of temperature in controlling carbon fluxes and radiation in control‐ ling ET. Temperature and radiation were identified as the main influencing factors for WUE during the growing season.