High Asia, defined as the high altitude area of Asia (including mainly the Tibetan Plateau), is an important area of snow distribution in low- and mid-latitude regions. The dynamic changes of snow in this area have notable effects on water, energy balance and regional climate. Snow water equivalent (SWE) products (e. g. ESA GlobSnow product) are insufficient over High Asia region, and global SWE retrieval algorithms (e. g. NASA SWE algorithm) are always overestimated when applied in High Asia region. Based on the AMSR-E brightness temperature data, we used the NASA standard algorithm and an improved SWE algorithm to produce AMSR-E SWE dataset from 2002 to 2011 over the High Asia region and Qinghai-Tibet Plateau respectively. The improved SWE algorithm has been validated by ground measured snow depth during 2009-2010 winter. The results indicated that the improved SWE algorithm is superior to NASA AMSR-E SWE algorithm. In addition, we obtained a blended snow product from 2003 to 2011. The blended snow product is based on MODIS daily cloud-free snow cover product and NASA SWE product. The three SWE datasets can provide support for scientific research of climate change, water and energy balance, environmental change and water resources utilization in High Asia.