Snow, Ice and Environment Over the Tibetan Plateau Zone II Versions ZH3 Vol 4 (1) 2019
Passive microwave remote sensing data of snow water equivalent in High Asia
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: 2018 - 10 - 09
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Abstract & Keywords
Abstract: 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.
Keywords: Snow water equivalent; High Asia; Passive microwave; Blended product
Dataset Profile
TitlePassive microwave remote sensing data of snow water equivalent in High Asia
Data corresponding authorQiu Yubao
Data authorsQiu Yubao, Lu Jieyu, Shi Lijuan, Xie Pengfei, Liang Wenshan, Wang Xingxing
Time rangeThe SWE datasets include the following three products:
(1) SWE product based on NASA algorithm, abbreviated as NASA-HMA-SWE products, with a time range from June 2002 to September 2011;
(2) SWE product based on RADI algorithm, abbreviated as RADI-QTP-SWE products, with a time range from January 2003 to October 2011;
(3) Blended SWE product based on MODIS and AMSR-E, abbreviated as Blended-HMA-SWE products, with a time range from January 2003 to October 2011.
Geographical scopeHigh Asia is a high-altitude area centered on the Qinghai-Tibet Plateau in central Asia. Its geographical range is 25°N–45°N and 67°E–107°E. Published SWE data products have three types, the scopes of which are as follows:
(1) NASA-HMA-SWE product: 25°N–45°N and 67°E–107° E;
(2) RADI-QTP-SWE product: 26°N–40°N, 73.45°E–104.6° E;
(3) Blended-HMA-SWE product: 25°N–45° N and 67°E–107°E.
Spatial resolution(1) NASA-HMA-SWE product: 0.25°;
(2) RADI-QTP-SWE product: 0.25°;
(3) Blended-HMA-SWE product: 500 m.
Temporal resolution(1) NASA-HMA-SWE product: daily, pentad, monthly
(2) RADI-QTP-SWE product: daily, pentad, monthly
(3) Blended-HMA-SWE product: daily
Data volume20.29 GB
Data format(1) NASA-HMA-SWE product data format: *.bin, *.png
(2) RADI-QTP-SWE product data format: *.bin, *.tif, *.hdf, *.png, *.qa, *.met
(3) Blended-HMA-SWE product data format: *.bld, *.jpg
Data service system
Sources of fundingSupported by the Special Fund for Meteorological Scientific Research in the Public Interest “Constructing a Remote Sensing Product Dataset for Snow Pack Over Tibetan Plateau” (NO. GYHY201206040), the Key Special Fund for Intergovernmental S&T Cooperation Projects of China, State’s Key Project of Research and Development Plan” (NO. 2017YFE0111700), the International Cooperation Program of Chinese Academy of Sciences (NO. 131211KYSB20170041), National Natural Science Foundation of China (NO. 41371351).
Dataset compositionThe dataset consists of 3 compressed packages, each of which is named after product name followed by the time range it spans:
(1) is NASA-HMA-SWE product data, with a data volume of about 189 MB;
(2) is RADI-QTP-SWE product data, with a data volume of about 116 MB;
(3) is Blended-HMA-SWE product data, with a data volume of about 19.99 GB.
Article and author information
Qiu Yubao
Lu Jieyu
Shi Lijuan
Xie Pengfei
Liang Wenshan
Wang Xingxing
Publication records
Released: Nov. 1, 2018 ( VersionsZH2
Published: March 29, 2019 ( VersionsZH3