Temporal and Spatial Variations of Soil Moisture Over Xinjiang Based on Multiple GLDAS Datasets

Under the global warming, as typical arid region of Central Asia, Xinjiang Uygur Autonomous Region (Xinjiang) has been experienced remarkable warming and increased precipitation based on large previous studies. The semiarid ecosystem is very sensitive vulnerable to climate change water resource variations. However, sparse highly unevenly distributed in-situ stations in this provide limited data for understanding soil moisture In study, spatial temporal changes variations were explored at annual seasonal time scales during period 2000–2017. are from Global Land Data Assimilation System (GLDAS) models, including four GLDAS 1 models: CLM, Mosaic, VIC Noah 2.7 one 2.1 model: 3.3. Major results show that 1) 3.3 have significant positive trends with values 2.64°mm/a 0.98°mm/a. trend CLM negative. other two models Mosaic weak trends. moisutre similar each model. 2) For characteristics mositure variations, displays negative over part Xinjiang. linear almost which different 2.7. All five KLM. Our a better across Xinjiang, they also enhance reconginzing complex hydrological circulation regions.