Ice, Snow and Environment Over High Asia Zone II Versions ZH2 Vol 4 (3) 2019
A dataset of spatial distribution of degree-day factors for glaciers in High Mountain Asia
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: 2019 - 04 - 03
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: 2019 - 09 - 23
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Abstract & Keywords
Abstract: The degree-day model, a widely used approach for ice and snow melt computation, rests upon a relationship between snow or ice melt and air temperature that is usually expressed in the form of positive temperature. The degree-day factor (DDF) is an important parameter for the model, and its spatial variation largely affects the accuracy of snow and ice melt simulations. Across High Mountain Asia (HMA), only a few glaciers have long-term observational records over the past decades, failing to provide necessary parameters for regional melting simulation based on degree-day models. In this study, we collected investigations and observations on 40 glaciers located in different regions of HMA, and estimated the transfer functions for snow and ice DDFs to obtain the dataset of spatial distributions of DDFs for snow and ice in HMA. These data, with a spatial resolution of 0.5°, were stored in GeoTIFF format in 32-bit floating point. Their accuracy is confirmed through a comparison between regional mass balance simulations using this dataset and observations in a typical region. The dataset provides model parameters for the study of regional glacier melting process and its impact on water resources and associated glacier disasters in HMA. It also provides data support for further analysis of glacier change and climate change, water resources change and its disaster effects in HMA.
Keywords: glacier melt; degree-day factor; degree-day model; water resources; High Mountain Asia
Dataset Profile
TitleA dataset of spatial distribution of degree-day factors for glaciers in High Mountain Asia
Data corresponding authorZhang Yong (
Data authorsZhang Yong, Liu Shiyin, Wang Xin
Geographical scope25.0°–65.0°N, 65.0°–105.0°E
Data volume16.0 KB
Data format*.tif
Data service system<>
Sources of fundingNational Natural Science Foundation of China (41761144075; 41671057; 41771075); Fundamental Program of the Ministry of Science and Technology of China (MOST) (2013FY111400); Research Funds for New Talents of Yunnan University (YJRC3201702).
Dataset compositionThis dataset consists of 2 subsets in total: (1) Spatial_distribution_of_DDFice.tif is the spatial distribution of degree-day factor for ice in High Mountain Asia; (2) Spatial_distribution_of_DDFsnow.tif is the spatial distribution of degree-day factor for snow in High Mountain Asia.
Article and author information
Zhang Yong
Shiyin Liu
Xin Wang
Publication records
Released: April 16, 2019 ( VersionsZH1
Published: Sept. 23, 2019 ( VersionsZH2