Vegetation plays a key eco-physiological role in terrestrial ecosystems, impacting energy and carbon exchange, and the hydrological and biochemical cycles through photosynthesis, water transpiration and nutrient acquisition (Baldocchi et al., 2000; Fang et al., 2007; Gerten et al., 2004). Vegetation processes are primarily driven by climate at both global and regional scales (Gottfried et al., 2012), but can also modify climate through altering both the carbon and energy balance (Brandt et al., 2015; Piao et al., 2015). It is therefore crucial that we understand the relationship between vegetation growth and climate change (Shen et al. 2015b; Theurillat & Guisan, 2001). The Tibetan Plateau (TP), known as the "Third Pole," is the highest and most extensive plateau in the world, with an average altitude of more than 4,000 m above sea level (a.s.l.) and covering an area of approximately 2.5 million km 2. The high-elevation and extremely cold environment make TP highly sensitive to global climate change, which makes it an ideal study area for exploring the response of vegetation growth to climate change (Christensen et al., 2004; Wang et al., 2011). The ground cover changes with temperature and precipitation gradients across TP and more than 60% of the area is grassland. The dominant vegetation changes from alpine steppe in the arid central-western TP to alpine meadow in the semi-humid central-eastern TP (Ye et al., 2013). The response of alpine grassland ecosystems on TP to climate change has received much attention in recent decades. A number of studies have used satellite observations of vegetation greenness (e.g., the normalized difference vegetation index, NDVI) together with modeled primary productivity to detect large scale impacts of inter-annual and decadal climate change on vegetation processes on TP during the growing season (Fu et al., 2018; Shen et al. 2015a). According to some studies, water strongly influences alpine meadow growth, which is concentrated in the central-eastern TP (Sun et al., 2015; Zhang et al. 2018a), but other studies show