Yuzhe Wang

Dr. Yuzhe Wang


Research Focus & Metrics

Academic Career Length

12Years (2015-Present)

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

Representative Publications

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1 November 2015 in Journal of Hydrology
Verified
Journal Article
Closed access
QYQinghua Ye
Qinghua Ye
TBTobias Bolch
Tobias Bolch
RNRenji Naruse
Renji Naruse
YWYuzhe Wang
Yuzhe Wang
JZJibiao Zong
Jibiao Zong
SKShichang Kang
Shichang Kang

1 April 2021 in Science of The Total Environment
Verified
Journal Article
Closed access
HGHongkai Gao
Hongkai Gao
ZFZijing Feng
Zijing Feng
TZTong Zhang
Tong Zhang
YWYuzhe Wang
Yuzhe Wang
XHXiaobo He
Xiaobo He
Zheng DuanZheng Duan
Zheng Duan

1 April 2024 in Chemical Engineering Journal
Verified
Journal Article
Closed access
YWYuzhe Wang
Yuzhe Wang
WDWenbo Dai
Wenbo Dai
XQXiaoyu Qiu
Xiaoyu Qiu
YLYunxiang Lei
Yunxiang Lei
MLMiaochang Liu
Miaochang Liu
XHXiaobo Huang
Xiaobo Huang

11 May 2024 in Remote Sensing
Verified
Journal Article
Open access
PDF file
QYQinghua Ye
Qinghua Ye
YWYuzhe Wang
Yuzhe Wang
Lin LiuLin Liu
Lin Liu
LGLinan Guo
Linan Guo
XZXueqin Zhang
Xueqin Zhang
LZLiping Zhu
Liping Zhu
Over the past decades, the cryosphere has changed significantly in High Mountain Asia (HMA), leading to multiple natural hazards such as rock–ice avalanches, glacier collapse, debris flows, landslides, and glacial lake outburst floods (GLOFs). Monitoring cryosphere change and evaluating its hydrological effects are essential for studying climate change, the hydrological cycle, water resource management, and natural disaster mitigation and prevention. However, knowledge gaps, data uncertainties, and other substantial challenges limit comprehensive research in climate–cryosphere–hydrology–hazard systems. To address this, we provide an up-to-date, comprehensive, multidisciplinary review of remote sensing techniques in cryosphere studies, demonstrating primary methodologies for delineating glaciers and measuring geodetic glacier mass balance change, glacier thickness, glacier motion or ice velocity, snow extent and water equivalent, frozen ground or frozen soil, lake ice, and glacier-related hazards. The principal results and data achievements are summarized, including URL links for available products and related data platforms. We then describe the main challenges for cryosphere monitoring using satellite-based datasets. Among these challenges, the most significant limitations in accurate data inversion from remotely sensed data are attributed to the high uncertainties and inconsistent estimations due to rough terrain, the various techniques employed, data variability across the same regions (e.g., glacier mass balance change, snow depth retrieval, and the active layer thickness of frozen ground), and poor-quality optical images due to cloudy weather. The paucity of ground observations and validations with few long-term, continuous datasets also limits the utilization of satellite-based cryosphere studies and large-scale hydrological models. Lastly, we address potential breakthroughs in future studies, i.e., (1) outlining debris-covered glacier margins explicitly involving glacier areas in rough mountain shadows, (2) developing highly accurate snow depth retrieval methods by establishing a microwave emission model of snowpack in mountainous regions, (3) advancing techniques for subsurface complex freeze–thaw process observations from space, (4) filling knowledge gaps on scattering mechanisms varying with surface features (e.g., lake ice thickness and varying snow features on lake ice), and (5) improving and cross-verifying the data retrieval accuracy by combining different remote sensing techniques and physical models using machine learning methods and assimilation of multiple high-temporal-resolution datasets from multiple platforms. This comprehensive, multidisciplinary review highlights cryospheric studies incorporating spaceborne observations and hydrological models from diversified techniques/methodologies (e.g., multi-spectral optical data with thermal bands, SAR, InSAR, passive microwave, and altimetry), providing a valuable reference for what scientists have achieved in cryosphere change research and its hydrological effects on the Third Pole.

7 March 2018 in The Cryosphere
Verified
Journal Article
Open access
PDF file
YWYuzhe Wang
Yuzhe Wang
TZTong Zhang
Tong Zhang
JRJiawen Ren
Jiawen Ren
XQXiang Qin
Xiang Qin
YLYushuo Liu
Yushuo Liu
DQDahe Qin
Dahe Qin
By combining in situ measurements and a two-dimensional thermomechanically coupled ice flow model, we investigate the thermomechanical features of the largest valley glacier (Laohugou Glacier No. 12; LHG12) on Qilian Shan located in the arid region of western China. Our model results suggest that LHG12, previously considered as fully cold, is probably polythermal, with a lower temperate ice layer overlain by an upper layer of cold ice over a large region of the ablation area. Modelled ice surface velocities match well with the in situ observations in the east branch (main branch) but clearly underestimate those near the glacier terminus, possibly because the convergent flow is ignored and the basal sliding beneath the confluence area is underestimated. The modelled ice temperatures are in very good agreement with the in situ measurements from a deep borehole (110 m deep) in the upper ablation area. The model results are sensitive to surface thermal boundary conditions, for example surface air temperature and near-surface ice temperature. In this study, we use a Dirichlet surface thermal condition constrained by 20 m borehole temperatures and annual surface air temperatures. Like many other alpine glaciers, strain heating is important in controlling the englacial thermal structure of LHG12. Our transient simulations indicate that the accumulation zone becomes colder during the last two decades as a response to the elevated equilibrium line altitude and the rising summer air temperatures. We suggest that the extent of accumulation basin (the amount of refreezing latent heat from meltwater) of LHG12 has a considerable impact on the englacial thermal status.

1 August 2020 in Computers & Geosciences
Verified
Journal Article
Closed access
YWYuzhe Wang
Yuzhe Wang
TZTong Zhang
Tong Zhang
CXCunde Xiao
Cunde Xiao
JRJiawen Ren
Jiawen Ren
YWYanfen Wang
Yanfen Wang