Shiyin Liu

Prof. Shiyin Liu

orcid

Research Focus & Metrics

Academic Career Length

28Years (1999-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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13 September 2020 in Earth System Science Data
Verified
Journal Article
Open access
PDF file
XWxin wang
xin wang
XGXiaoyu Guo
Xiaoyu Guo
CYChengde Yang
Chengde Yang
QLQionghuan Liu
Qionghuan Liu
JWJunfeng Wei
Junfeng Wei
ZTZhiguang Tang
Zhiguang Tang
There is currently no glacial lake inventory data set for the entire high-mountain Asia (HMA) area. The definition and classification of glacial lakes remain controversial, presenting certain obstacles to extensive utilization of glacial lake inventory data. This study integrated glacier inventory data and 668 Landsat TM, ETM+, and OLI images and adopted manual visual interpretation to extract glacial lake boundaries within a 10 km buffer from glacier extent using ArcGIS and ENVI software, normalized difference water index maps, and Google Earth images. The theoretical and methodological basis for all processing steps including glacial lake definition and classification, lake boundary delineation, and uncertainty assessment is discussed comprehensively in the paper. Moreover, detailed information regarding the coding, location, perimeter and area, area error, type, time phase, source image information, and subregions of the located lakes is presented. It was established that 27 205 and 30 121 glacial lakes (size 0.0054–6.46 km2) in HMA covered a combined area of 1806.47±2.11 and 2080.12±2.28 km2 in 1990 and 2018, respectively. The data set is now available from the National Special Environment and Function of Observation and Research Stations Shared Service Platform (China): https://doi.org/10.12072/casnw.064.2019.db (Wang et al., 2019a).

1 May 2006 in Journal of Climate
Verified
Journal Article
Open access
QDQin Dahe
Qin Dahe
SLShiyin Liu
Shiyin Liu
LPLi Peiji
Li Peiji
A study is presented of the geographical distribution and spatial and temporal variabilities of the western China snow cover in the past 47 yr between 1951 and 1997. The data used consist of Scanning Multichannel Microwave Radiometer (SMMR) 6-day snow-depth charts, NOAA weekly snow extent charts, and the daily snow depth and number of snow cover days from 106 selected meteorological stations across western China. Empirical orthogonal function was performed on the SMMR dataset to better understand the spatial pattern and variability of the Qinghai–Xizang (Tibet) snow cover. A multiple linear regression analysis was conducted to show the association of interannual variations between snow cover and snow season temperature as well as precipitation. Further, the autoregressive moving average model was fitted to the snow and climate time series to test for their long-term trends. Results show that western China did not experience a continual decrease in snow cover during the great warming period of the 1980s and 1990s. It is of interest to note that no correlation was identified between temperature and precipitation in the snow cover season. However, year-to-year fluctuation of snow cover responds to both snowfall and snow season temperature. About one-half to two-thirds of the total variance in snow cover is explained by the linear variations of snowfall and snow season temperature. The long-term variability of western China snow cover is characterized by a large interannual variation superimposed on a small increase trend. The positive trend of the western China snow cover is consistent with increasing snowfall, but is in contradiction to regional warming. In addition, many constraints of the Qinghai–Xizang (Tibet) snow cover force the author’s challenge of Blanford’s hypothesis.

5 January 2019
Verified
Book Chapter
Open access
PDF file
TBTobias Bolch
Tobias Bolch
JSJoseph Shea
Joseph Shea
SLShiyin Liu
Shiyin Liu
FAFarooq M. Azam
Farooq M. Azam
YGYang Gao
Yang Gao
YZYinsheng Zhang
Yinsheng Zhang
The cryosphere is defined by the presence of frozen water in its many forms: glaciers, ice caps, ice sheets, snow, permafrost, and river and lake ice. In the extended Hindu Kush Himalaya (HKH) region, including the Pamirs, Tien Shan and Alatua, the cryosphere is a key freshwater resource, playing a vital and significant role in local and regional hydrology and ecology. Industry, agriculture, and hydroelectric power generation rely on timely and sufficient delivery of water in major river systems; changes in the cryospheric system may thus pose challenges for disaster risk reduction in the extended HKH region.

1 May 2018 in Geomorphology
Verified
Journal Article
Closed access
YNYong Nie
Yong Nie
QLQiao Liu
Qiao Liu
JWJida Wang
Jida Wang
YZYili Zhang
Yili Zhang
YSYongwei Sheng
Yongwei Sheng
SLShiyin Liu
Shiyin Liu

1 August 2004 in Global and Planetary Change
Verified
Journal Article
Closed access
LZLin Zhao
Lin Zhao
CPChien-Lu Ping
Chien-Lu Ping
DYDaqing Yang
Daqing Yang
GCGuodong Cheng
Guodong Cheng
YDYongjian Ding
Yongjian Ding
SLShiyin Liu
Shiyin Liu

1 January 2011 in Journal of Glaciology
Verified
Journal Article
Open access
PDF file
Yong ZhangYong Zhang
Yong Zhang
KFKoji Fujita
Koji Fujita
SLShiyin Liu
Shiyin Liu
QLQiao Liu
Qiao Liu
TNTakayuki Nuimura
Takayuki Nuimura
Debris cover is widely present in glacier ablation areas of the Tibetan Plateau, and its spatial distribution greatly affects glacier melt rates. High-resolution in situ measurements of debris thickness on Hailuogou glacier, Mount Gongga, southeastern Tibetan Plateau, show pronounced inhomogeneous debris distribution. An analysis of transverse and longitudinal profiles indicates that the ground-surveyed debris thicknesses and Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER)-derived thermal resistances of debris layers correlate strongly over the entire ablation area. Across- and along-glacier patterns of ASTER-derived thermal resistance correspond well with spatial patterns of debris thickness, which may reflect large-scale variations in the extent and thickness of the debris cover. The ice melt rate variability over the ablation area simulated by a surface energy-balance model that considered thermal resistance of the debris layer indicates clearly the crucial role of debris and its spatial continuity in modifying the spatial characteristics of melt rates. Because of the inhomogeneous distribution of debris thickness, about 67% of the ablation area on Hailuogou glacier has undergone accelerated melting, whereas about 19% of the ablation area has experienced inhibited melting, and the sub-debris melt rate equals the bare-ice melt rate in only 14% of the ablation area.