Abstract: High Asia is a high-altitude region in Asia mainly comprised of the Qinghai-Tibet Plateau. As an important zone for snow distribution in the middle and low latitudes, dynamic changes of its snow cover have a great impact on the water and energy cycle, climate and environmental changes in the region. Snow water equivalent (SWE) products (such as ESA GlobSnow), which are widely used around the world, are insufficient for High Asia, and certain global algorithms may generate overestimated data when applied in High Asia. Based on the AMSR-E brightness temperature data, we used the NASA standard algorithm and an optimized algorithm to produce two sets of ASMR-E snow-water equivalent data for the Qinghai-Tibet Plateau from 2002 to 2011. A validation of the improved algorithm against the snow depth measured by ground meteorological stations indicated an improved accuracy of the algorithm. In addition, we obtained another comprehensive set of data for microwave and optical snow water equivalents from 2003 to 2011, based on MODIS daily cloud-free snow cover products and SWE products generated by NASA snow algorithm. The three sets of snow water equivalent data provide statistical support for scientific research pf climate change, water and energy balance, environmental change and water use in High Asia.
Keywords: snow water equivalent; High Asia; blended product; algorithm