Glaciers in central Asia, important water resource are highly sensitive to changes in temperature and precipitation. With about 24000×108 m3 water equivalent, the glaciers in Xinjiang Uyger Autonomous Region in northwestern China possesses the biggest ice volume in China, which plays an extremely important role in both water resource and stabilization of river runoff in this vast arid and semi-arid region. During the past several decades, because of climate warming, the most glaciers in Xinjiang are in a state of accelerating shrinkage, and the impact of the glacier recession on water resource has drawn a wide attention. The aims of this project are to reveal the machanism of glacier retreating, and further to to simulate and project the response of the glacier to climate change in Xinjiang. .The response of glaciers to climate change including two processes. It first appears as change of mass balance, which is immediate and direct response, and secondly the dynamical adjustment of glaciers to their environment is regarded as indirect and lagged response. Therefore, the long term future of glaciers predicting should consider not only the future climatic conditions and their impacts on mass balance of glaciers, but also the dynamic reponse of glaciers. In previous researches several time-extroplated or statistical approaches have been using to estimate future changes of glaciers in China. However, the projection made by those methods over long periods can become misleading because they do not account for the dynamical adjustment of glaciers to their environment. In this project, by integrating all responding physical processes, a deterministic dynamic model coupled with mass balance models will be introduced. It should provide more accurate results. .To obtain multiple parameters of the glacier models is a key for this project. It is proposed to achieve from a reference glacier mornitring network throughout Tian Shan, as well as remote sensing techniques. Operated by Tianshan Glaciological Station, the glaciological observation in this network began in 1959 and includes alpine meteorological and hydrological parameters, glacier topograpy, glacier massbalance, glacier thickness, and glacier surface velocity, etc. They are crucial for glacier modeling study. .