Research topics

01 / Observations · Processes · Models29 papers

Snow Hydrology

Observing blowing snow, sublimation and snowmelt, tracing snowmelt contributions to runoff, and reconstructing snow cover and snow water equivalent.

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52 papers

2026

  1. Abrupt shift in elevation-dependent snowmelt contribution in the Central Tibetan Plateau

    Identifies a spring freezing-level threshold in the elevation dependence of snowmelt contributions in the Yangtze headwaters. The relationship shifts abruptly across this threshold; cooling can restore it, but with a multi-year lag.

    Snow HydrologySnow and Ice Water Resources and Hazards
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    Citation:Abrupt shift in elevation-dependent snowmelt contribution in the Central Tibetan Plateau

    Zixiang Li, Hongyi Li, Weixin Xu, Yaru Yang, Rui He, Yiwei Liu, Yuanbao Feng, Na Dai. (2026). Abrupt shift in elevation-dependent snowmelt contribution in the Central Tibetan Plateau. Journal of Hydrology: Regional Studies, 66, 103634. https://doi.org/10.1016/j.ejrh.2026.103634

  2. Optical River Ice Spectral Subclassification on the Tibetan Plateau: A Landsat 5–9 and Sentinel-2 Benchmark with Interpretable Machine Learning

    Extends binary river ice identification to four spectral subclasses, establishes a classification benchmark across basins and sensors, and identifies key discriminating features in visible brightness and shortwave infrared bands.

    Spectral characteristics and band separability
    Spectral characteristics and band separability
    Cold-Region Rivers
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    Citation:Optical River Ice Spectral Subclassification on the Tibetan Plateau: A Landsat 5–9 and Sentinel-2 Benchmark with Interpretable Machine Learning

    Hanwen Zhang, Hongyi Li. (2026). Optical River Ice Spectral Subclassification on the Tibetan Plateau: A Landsat 5–9 and Sentinel-2 Benchmark with Interpretable Machine Learning. Remote Sensing, 18(9), 1437. https://doi.org/10.3390/rs18091437

  3. Remote sensing of river ice under climate change

    Compares five river ice indices and validates dual-polarization SAR ice-thickness retrieval, clarifying conditions for monitoring ice extent and thickness and bringing together evidence of river ice responses to warming.

    Cold-Region Rivers
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    Citation:Remote sensing of river ice under climate change

    Li, H., Li, H., Zhang, H. and Pang, X. (2026) Remote sensing of river ice under climate change. In: Kelly, R. and Ellias, S. (eds.) Comprehensive Cryospheric Science and Environmental Change. Vol. 3, pp. 298-334. UK: Elsevier. https://doi.org/10.1016/B978-0-323-85242-5.00019-1

2025

  1. Wind Shaped Winter Snow Mass Balance at High Altitude: Insights From an Integrated Snow Observation System

    Develops a probabilistic blowing-snow classification method that accounts for observational uncertainty, showing that wind-driven deposition and erosion dominate winter snow mass changes on the plateau.

    Observation framework for blowing-snow mass balance
    Observation framework for blowing-snow mass balance
    Snow Hydrology
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    Citation:Wind Shaped Winter Snow Mass Balance at High Altitude: Insights From an Integrated Snow Observation System

    Hongyi Li, Tao Che, Yang Zhang. (2025). Wind Shaped Winter Snow Mass Balance at High Altitude: Insights From an Integrated Snow Observation System. Water Resources Research, 61(12), e2025WR039885. https://doi.org/10.1029/2025WR039885

  2. Enhancing machine learning runoff simulation via wavelet-based abnormality pattern recognition

    Introduces wavelet-pattern-based training-sample selection to improve LSTM simulation of anomalous runoff, revealing a trade-off between the proportion of anomalous samples and prediction accuracy under normal conditions.

    Wavelet anomaly detection and model training
    Wavelet anomaly detection and model training
    Snow and Ice Water Resources and Hazards
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    Citation:Enhancing machine learning runoff simulation via wavelet-based abnormality pattern recognition

    Yiwei Liu, Hongyi Li, Yaru Yang, Xin Pang, Liting Niu. (2025). Enhancing machine learning runoff simulation via wavelet-based abnormality pattern recognition. Journal of Hydrology, 661, 133729. https://doi.org/10.1016/j.jhydrol.2025.133729

  3. Machine Learning-Enhanced River Ice Identification in the Complex Tibetan Plateau

    Combines spectral and topographic information to identify river ice. Random forests outperform conventional indices in braided channels, narrow reaches and snow-affected settings, with applicability across sensors.

    River ice identification and validation workflow
    River ice identification and validation workflow
    Cold-Region Rivers
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    Citation:Machine Learning-Enhanced River Ice Identification in the Complex Tibetan Plateau

    Pang, Xin, Li, Hongyi, Ren, Hongrui, Yang, Yaru, Zhao, Qin, Liu, Yiwei, Hao, Xiaohua, Niu, Liting. (2025). Machine Learning-Enhanced River Ice Identification in the Complex Tibetan Plateau. Remote Sensing, 17(11), 1889. https://doi.org/10.3390/rs17111889

  4. Runoff contribution of spring snowmelt in the source region of the Yangtze River and its variation characteristics

    Shows that spring snowmelt contributions in the Yangtze headwaters have shifted from June toward April–May. The melt season shortened by 3.3 days per decade during 1980–2022, while extreme snowmelt-runoff events became more frequent.

    Snow HydrologySnow and Ice Water Resources and Hazards
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    Citation:Runoff contribution of spring snowmelt in the source region of the Yangtze River and its variation characteristics

    Zixiang Li, Weixin Xu, Hongyi Li, Na Dai, Kunlin Huang, Yaru Yang, Lidong Li, Jingke Si. (2025). Runoff contribution of spring snowmelt in the source region of the Yangtze River and its variation characteristics. Journal of Hydrology: Regional Studies, 58, 102295. https://doi.org/10.1016/j.ejrh.2025.102295

2024

  1. Assessing satellite and reanalysis-based precipitation products in cold and arid mountainous regions

    Evaluates precipitation and runoff together to distinguish product suitability in cold, arid mountains: ERA5-Land is suited to long-term variability, whereas IMERG-F is suited to extreme precipitation and flood studies.

    Snow and Ice Water Resources and Hazards
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    Citation:Assessing satellite and reanalysis-based precipitation products in cold and arid mountainous regions

    Yang Yaru, Ji Wenzheng, Niu Liting, Zheng Zhaojun, Huang Weidong, Zhang Changshun, Hao Xiaohua, Xiao Jianshe, Li Hongyi. (2024). Assessing satellite and reanalysis-based precipitation products in cold and arid mountainous regions. Journal of Hydrology: Regional Studies, 51, 101612. https://doi.org/10.1016/j.ejrh.2023.101612

  2. Monitoring Cold-Region Water Cycles Using Remote Sensing Big Data

    This special-issue review connects advances in cold-region remote sensing with hydrological process modelling, identifying uncertainty quantification, physical constraints on machine learning and cross-region validation as priorities.

    Snow and Ice Water Resources and Hazards
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    Citation:Monitoring Cold-Region Water Cycles Using Remote Sensing Big Data

    Li, Hongyi, Hao, Xiaohua, Ran, Youhua, Xiao, Pengfeng. (2024). Monitoring Cold-Region Water Cycles Using Remote Sensing Big Data. Remote Sensing, 16(24), 4752. https://doi.org/10.3390/rs16244752

  3. High spatial resolution elevation change dataset derived from ICESat-2 crossover points on the Tibetan Plateau

    Develops an ICESat-2 orbital crossover extraction algorithm to quantify local elevation changes across multiple surface types on the Tibetan Plateau, complementing coarse-resolution products with approximately 17 m observation footprints.

    Definition of ICESat-2 orbital crossover points
    Definition of ICESat-2 orbital crossover points
    Snow and Ice Water Resources and Hazards
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    Citation:High spatial resolution elevation change dataset derived from ICESat-2 crossover points on the Tibetan Plateau

    Tengfei Chen, Jian Wang, Tao Che, Xiaohua Hao, Hongyi Li. (2024). High spatial resolution elevation change dataset derived from ICESat-2 crossover points on the Tibetan Plateau. Scientific Data, 11, 394. https://doi.org/10.1038/s41597-024-03214-2

2023

  1. The benefits of the water diversion on a densely populated fragmented lake area — A remote sensing view

    Combines satellite altimetry, water extent and diversion records to show that water diversion drove the recent recovery and stabilization of Baiyangdian water levels, providing an assessment method for fragmented lakes with limited ground observations.

    Snow and Ice Water Resources and Hazards
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    Citation:The benefits of the water diversion on a densely populated fragmented lake area — A remote sensing view

    Chen Tengfei, Li Hongyi, Zhao Chunlei, Chang Yufei, Yang Yaru, Wang Jian. (2023). The benefits of the water diversion on a densely populated fragmented lake area — A remote sensing view. Environmental Research Communications, 5(6), 065015. https://doi.org/10.1088/2515-7620/acdfae

  2. Machine Learning-Based Bias Correction of Precipitation Measurements at High Altitude

    Uses satellite precipitation to support XGBoost correction of high-elevation rain and snow undercatch, reducing dependence on on-site wind measurements and improving transferability in tests across stations in different countries.

    Machine-learning correction of precipitation undercatch
    Machine-learning correction of precipitation undercatch
    Snow and Ice Water Resources and Hazards
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    Citation:Machine Learning-Based Bias Correction of Precipitation Measurements at High Altitude

    Li Hongyi, Zhang Yang, Lei Huajin, Hao Xiaohua. (2023). Machine Learning-Based Bias Correction of Precipitation Measurements at High Altitude. Remote Sensing, 15(8), 2180. https://doi.org/10.3390/rs15082180

  3. Revealing the river ice phenology on the Tibetan Plateau using Sentinel-2 and Landsat 8 overlapping orbit imagery

    Uses overlapping orbits of two satellites to increase observation frequency and resolve river ice freeze–thaw processes on the plateau. Disconnected reaches have longer ice seasons, and slower-flowing branches freeze first in braided channels.

    Cold-Region Rivers
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    Citation:Revealing the river ice phenology on the Tibetan Plateau using Sentinel-2 and Landsat 8 overlapping orbit imagery

    Li Haojie, Li Hongyi, Wang Jian, Hao Xiaohua. (2023). Revealing the river ice phenology on the Tibetan Plateau using Sentinel-2 and Landsat 8 overlapping orbit imagery. Journal of Hydrology, 619, 129285. https://doi.org/10.1016/j.jhydrol.2023.129285

  4. Adaptability analysis of snow in the Zhangjiakou competition zone of the Beijing Olympic Winter Games for the next 30 years

    Couples CMIP6 with an ecohydrological model to assess ski-area climate risk, estimating that Zhangjiakou venues will require supplemental snowmaking for at least 49 days per year on average during 2021–2050.

    Snow Hydrology
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    Citation:Adaptability analysis of snow in the Zhangjiakou competition zone of the Beijing Olympic Winter Games for the next 30 years

    Shao Donghang, Li Hongyi, Wang Jian, Hao Xiaohua, Niu Liting. (2023). Adaptability analysis of snow in the Zhangjiakou competition zone of the Beijing Olympic Winter Games for the next 30 years. Journal of Hydrology: Regional Studies, 46, 101358. https://doi.org/10.1016/j.ejrh.2023.101358

2022

  1. A dataset of snow cover water resources in the upper reaches of Heihe River Basin during 2000–2015

    Constrains distributed simulations with remotely sensed snow cover to provide daily snow water equivalent, snowmelt runoff and annual contribution coefficients for the upper Heihe during 2000–2015, linking snow storage to catchment runoff assessment.

    Snow HydrologySnow and Ice Water Resources and Hazards
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    Citation:A dataset of snow cover water resources in the upper reaches of Heihe River Basin during 2000–2015

    NIU Liting, LI Hongyi, WANG Jian. (2022). A dataset of snow cover water resources in the upper reaches of Heihe River Basin during 2000–2015. China Scientific Data, 7(3). https://doi.org/10.11922/11-6035.ncdc.2021.0035.zh

  2. A dataset of snow cover phenology for the next 30 years in Zhangjiakou Venue Cluster of the Olympics Winter Games Beijing 2022

    Provides 1 km snow-phenology projections for Zhangjiakou Winter Olympic venues during 2021–2050, translating future changes in the snow season into spatial information for site assessment.

    Snow Hydrology
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    Citation:A dataset of snow cover phenology for the next 30 years in Zhangjiakou Venue Cluster of the Olympics Winter Games Beijing 2022

    YANG Yaru, ZHAO Chunlei, LI Hongyi, SHAO Donghang, JI Wenzheng. (2022). A dataset of snow cover phenology for the next 30 years in Zhangjiakou Venue Cluster of the Olympics Winter Games Beijing 2022. China Scientific Data, 7(3), 70-83. https://doi.org/10.11922/11-6035.ncdc.2021.0023.zh

  3. Continental Water Vapor Dominantly Impacts Precipitation during the Snow Season on the Northeastern Tibetan Plateau

    Quantifies the dominance of continental moisture in northeastern Tibetan Plateau snow-season precipitation: about 92% originated over land during 1979–2017, including about 66% from plateau areas outside the study region.

    Snow HydrologySnow and Ice Water Resources and Hazards
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    Citation:Continental Water Vapor Dominantly Impacts Precipitation during the Snow Season on the Northeastern Tibetan Plateau

    Wang Weiguo, Li Hongyi, Xie Zeming, Zhu Xiaofan, Xiao Linhong, Hao Xiaohua, Wang Jian. (2022). Continental Water Vapor Dominantly Impacts Precipitation during the Snow Season on the Northeastern Tibetan Plateau. Journal of Climate, 35(12), 3819-3831. https://doi.org/10.1175/jcli-d-21-0241.1

  4. Monitoring the Ice Thickness in High-Order Rivers on the Tibetan Plateau with Dual-Polarized C-Band Synthetic Aperture Radar

    Extends dual-polarization C-band SAR ice-thickness retrieval to narrow plateau rivers and shows that the alignment of river orientation with ascending or descending orbits affects retrieval accuracy.

    SAR river ice thickness retrieval workflow
    SAR river ice thickness retrieval workflow
    Cold-Region Rivers
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    Citation:Monitoring the Ice Thickness in High-Order Rivers on the Tibetan Plateau with Dual-Polarized C-Band Synthetic Aperture Radar

    Zhang Huan, Li Hongyi, Li Haojie. (2022). Monitoring the Ice Thickness in High-Order Rivers on the Tibetan Plateau with Dual-Polarized C-Band Synthetic Aperture Radar. Remote Sensing, 14(11), 2591. https://doi.org/10.3390/rs14112591

  5. Reconstruction of a daily gridded snow water equivalent product for the land region above 45° N based on a ridge regression machine learning approach

    Combines multiple products and elevation information using ridge regression to produce gap-free daily snow water equivalent north of 45°N, with ground validation showing higher accuracy than the individual source products.

    Snow Hydrology
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    Citation:Reconstruction of a daily gridded snow water equivalent product for the land region above 45° N based on a ridge regression machine learning approach

    Shao Donghang, Li Hongyi, Wang Jian, Hao Xiaohua, Che Tao, Ji Wenzheng. (2022). Reconstruction of a daily gridded snow water equivalent product for the land region above 45° N based on a ridge regression machine learning approach. Earth System Science Data, 14(2), 795-809. https://doi.org/10.5194/essd-14-795-2022

  6. A Gridded Precipitation Dataset for the Tibetan Plateau with Improved Frequency Distribution and Wind Correction (1980–2009) [in Chinese]

    Combines wind-induced undercatch correction with frequency-distribution optimization to provide 10 km daily precipitation over the Tibetan Plateau for 1980–2009, preserving variability often smoothed by interpolation of sparse observations.

    Snow and Ice Water Resources and Hazards
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    Citation:A Gridded Precipitation Dataset for the Tibetan Plateau with Improved Frequency Distribution and Wind Correction (1980–2009) [in Chinese]

    Ma Jiapei, Li Hongyi. (2022). A Gridded Precipitation Dataset for the Tibetan Plateau with Improved Frequency Distribution and Wind Correction (1980–2009) [in Chinese]. Remote Sensing Technology and Application, 37(2), 507-514.

2021

  1. Identifying river ice on the Tibetan Plateau based on the relative difference in spectral bands

    Introduces the RDRI index, integrating differences among red, near-infrared and shortwave-infrared bands to reduce confusion between river ice and snow in conventional indices and expand large-scale river ice identification on the plateau.

    Cold-Region Rivers
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    Citation:Identifying river ice on the Tibetan Plateau based on the relative difference in spectral bands

    Li Haojie, Li Hongyi, Wang Jian, Hao Xiaohua. (2021). Identifying river ice on the Tibetan Plateau based on the relative difference in spectral bands. Journal of Hydrology, 601, 126613. https://doi.org/10.1016/j.jhydrol.2021.126613

  2. Comprehensive evaluation of satellite and reanalysis precipitation products over the eastern Tibetan plateau characterized by a high diversity of topographies

    Compares seven products across terrain classes, revealing topographic dependence in precipitation errors over the eastern Tibetan Plateau and a shared weakness in detecting extremes relative to smaller precipitation events.

    Snow and Ice Water Resources and Hazards
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    Citation:Comprehensive evaluation of satellite and reanalysis precipitation products over the eastern Tibetan plateau characterized by a high diversity of topographies

    Lei Huajin, Li Hongyi, Zhao Hongyu, Ao Tianqi, Li Xiaodong. (2021). Comprehensive evaluation of satellite and reanalysis precipitation products over the eastern Tibetan plateau characterized by a high diversity of topographies. Atmospheric Research, 259, 105661. https://doi.org/10.1016/j.atmosres.2021.105661

  3. Accuracy Assessment of Remotely Sensed Elevation Data in Alpine Mountains Using LiDAR [in Chinese]

    Uses airborne LiDAR as a common reference for mountain elevation products. ICESat-2 ATL06 has a root-mean-square error of 0.747 m in the Binggou catchment, with slope as the primary control on error.

    Snow and Ice Water Resources and Hazards
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    Citation:Accuracy Assessment of Remotely Sensed Elevation Data in Alpine Mountains Using LiDAR [in Chinese]

    Zhang Huan, Li Hongyi, Li Haojie, Che Tao. (2021). Accuracy Assessment of Remotely Sensed Elevation Data in Alpine Mountains Using LiDAR [in Chinese]. Remote Sensing Technology and Application, 36(6), 1311-1320. https://doi.org/10.11873/j.issn.1004-0323.2021.6.1311

2020

  1. Reducing the Statistical Distribution Error in Gridded Precipitation Data for the Tibetan Plateau

    Combines wind-induced undercatch correction with elevation-constrained interpolation to reduce distribution errors in gridded precipitation and limit the smoothing of extremes and temporal variance caused by sparse observations.

    Comparison of gridded precipitation distributions
    Comparison of gridded precipitation distributions
    Snow and Ice Water Resources and Hazards
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    Citation:Reducing the Statistical Distribution Error in Gridded Precipitation Data for the Tibetan Plateau

    Ma Jiapei, Li Hongyi, Wang Jian, Hao Xiaohua, Shao Donghang, Lei Huajin. (2020). Reducing the Statistical Distribution Error in Gridded Precipitation Data for the Tibetan Plateau. Journal of Hydrometeorology, 21(11), 2641-2654. https://doi.org/10.1175/jhm-d-20-0096.1

  2. Modeling Snow Surface Spectral Reflectance in a Land Surface Model Targeting Satellite Remote Sensing Observations

    Embeds radiative transfer in a land-surface model to extend snow albedo simulation to continuous shortwave spectra directly observable by satellites, including estimates of spectral changes during remote sensing data gaps.

    Coupling snow spectra with land-surface processes
    Coupling snow spectra with land-surface processes
    Snow Hydrology
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    Citation:Modeling Snow Surface Spectral Reflectance in a Land Surface Model Targeting Satellite Remote Sensing Observations

    Shao Donghang, Xu Wenbo, Li Hongyi, Wang Jian, Hao Xiaohua. (2020). Modeling Snow Surface Spectral Reflectance in a Land Surface Model Targeting Satellite Remote Sensing Observations. Remote Sensing, 12(18), 3101. https://doi.org/10.3390/rs12183101

  3. Monitoring high-altitude river ice distribution at the basin scale in the northeastern Tibetan Plateau from a Landsat time-series spanning 1999–2018

    Reconstructs river ice distribution in the Babao River during 1999–2018. Ice area declined slightly and was negatively correlated with air temperature; ice occurred more frequently in high-elevation, gently sloping reaches.

    River ice distribution and terrain
    River ice distribution and terrain
    Cold-Region Rivers
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    Citation:Monitoring high-altitude river ice distribution at the basin scale in the northeastern Tibetan Plateau from a Landsat time-series spanning 1999–2018

    Li Haojie, Li Hongyi, Wang Jian, Hao Xiaohua. (2020). Monitoring high-altitude river ice distribution at the basin scale in the northeastern Tibetan Plateau from a Landsat time-series spanning 1999–2018. Remote Sensing of Environment, 247, 111915. https://doi.org/10.1016/j.rse.2020.111915

  4. Water Vapor from Western Eurasia Promotes Precipitation during the Snow Season in Northern Xinjiang, a Typical Arid Region in Central Asia

    Quantifies moisture-source contributions to snow-season precipitation in northern Xinjiang, identifying a dominant western Eurasian land contribution of about 48% and linking precipitation increases during 1980–2017 to stronger western Eurasian and Arctic moisture inputs.

    Snow HydrologySnow and Ice Water Resources and Hazards
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    Citation:Water Vapor from Western Eurasia Promotes Precipitation during the Snow Season in Northern Xinjiang, a Typical Arid Region in Central Asia

    Wang Weiguo, Li Hongyi, Wang Jian, Hao Xiaohua. (2020). Water Vapor from Western Eurasia Promotes Precipitation during the Snow Season in Northern Xinjiang, a Typical Arid Region in Central Asia. Water, 12(1), 141. https://doi.org/10.3390/w12010141

  5. Advances in Remote Sensing of River Ice [in Chinese]

    Systematically distinguishes optical and microwave capabilities for observing river ice extent, phenology and thickness, and proposes multi-sensor integration and closer coupling of remote sensing with hydrological models.

    Cold-Region Rivers
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    Citation:Advances in Remote Sensing of River Ice [in Chinese]

    Li Haojie, Li Hongyi, Wang Jian, Hao Xiaohua. (2020). Advances in Remote Sensing of River Ice [in Chinese]. Advances in Earth Science, 35(10), 1041-1051. https://doi.org/10.11867/j.issn.1001-8166.2020.081

  6. Bias Correction of Climate-Model Precipitation in the Upper Heihe River Basin Using Quantile Mapping [in Chinese]

    Introduces segmented quantile mapping to correct extreme precipitation separately. In the upper Heihe, correction raises the spatial correlation of annual WRF precipitation from 0.74 to 0.94.

    Snow and Ice Water Resources and Hazards
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    Citation:Bias Correction of Climate-Model Precipitation in the Upper Heihe River Basin Using Quantile Mapping [in Chinese]

    Lei Huajin, Ma Jiapei, Li Hongyi, Wang Jian, Shao Donghang, Zhao Hongyu. (2020). Bias Correction of Climate-Model Precipitation in the Upper Heihe River Basin Using Quantile Mapping [in Chinese]. Plateau Meteorology, 39(2), 266-279. https://doi.org/10.7522/j.issn.1000-0534.2019.00104

  7. Ecohydrological Processes and Coupled Modelling in Alpine Mountains [in Chinese]

    Snow and Ice Water Resources and Hazards
    Citation:Ecohydrological Processes and Coupled Modelling in Alpine Mountains [in Chinese]

    Yang Dawen, Zheng Yuanrun, Gao Bing, Li Hongyi, Yu Pengtao. (2020). Ecohydrological Processes and Coupled Modelling in Alpine Mountains [in Chinese]. Science Press.

  8. Development of a MODIS Fractional Snow-Cover Product for the Tibetan Plateau Using Environmental Information and Regression Models [in Chinese]

    Incorporates terrain, vegetation and land-surface temperature into adaptive regression to improve MODIS fractional snow-cover estimates on the Tibetan Plateau, reducing root-mean-square error from 0.221 to 0.103.

    Snow Hydrology
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    Citation:Development of a MODIS Fractional Snow-Cover Product for the Tibetan Plateau Using Environmental Information and Regression Models [in Chinese]

    Lei Huajin, Li Hongyi, Wang Jian, Hao Xiaohua, Zhao Hongyu, Zhang Juan. (2020). Development of a MODIS Fractional Snow-Cover Product for the Tibetan Plateau Using Environmental Information and Regression Models [in Chinese]. Remote Sensing Technology and Application, 35(6), 1303-1311. https://doi.org/10.11873/j.issn.1004-0323.2020.6.1303

2019

  1. Extending the Ability of Near‐Infrared Images to Monitor Small River Discharge on the Northeastern Tibetan Plateau

    Introduces a near-infrared multi-pixel ratio method that extends discharge remote sensing from large rivers to small rivers wider than 30 m, demonstrating potential for ungauged basins.

    Cold-Region Rivers
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    Citation:Extending the Ability of Near‐Infrared Images to Monitor Small River Discharge on the Northeastern Tibetan Plateau

    Li Haojie, Li Hongyi, Wang Jian, Hao Xiaohua. (2019). Extending the Ability of Near‐Infrared Images to Monitor Small River Discharge on the Northeastern Tibetan Plateau. Water Resources Research, 55(11), 8404-8421. https://doi.org/10.1029/2018wr023808

  2. Tracing Snowmelt Paths in an Integrated Hydrological Model for Understanding Seasonal Snowmelt Contribution at Basin Scale

    Tracks snowmelt pathways among runoff, soil and evaporation, revealing that soil storage in the upper Heihe can sustain snowmelt contributions to runoff during snow-free periods and even into the following year.

    Snow HydrologySnow and Ice Water Resources and Hazards
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    Citation:Tracing Snowmelt Paths in an Integrated Hydrological Model for Understanding Seasonal Snowmelt Contribution at Basin Scale

    Li Hongyi, Li Xin, Yang Dawen, Wang Jian, Gao Bing, Pan Xiaoduo, Zhang Yanlin, Hao Xiaohua. (2019). Tracing Snowmelt Paths in an Integrated Hydrological Model for Understanding Seasonal Snowmelt Contribution at Basin Scale. Journal of Geophysical Research: Atmospheres, 124(16), 8874-8895. https://doi.org/10.1029/2019jd030760

  3. Estimation of surface latent heat fluxes in an oasis utilizing a two-source energy balance model based on land surface temperature decomposition

    Shows that Priestley–Taylor decomposition of soil and canopy temperatures improves oasis latent-heat estimates, reducing the root-mean-square error of a two-source energy-balance model by about 39% relative to linear decomposition.

    Snow and Ice Water Resources and Hazards
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    Citation:Estimation of surface latent heat fluxes in an oasis utilizing a two-source energy balance model based on land surface temperature decomposition

    Wang Runke, Wang Jian, Zhu Gaofeng, Li Hongyi, Shao Donghang, Hao Xiaohua. (2019). Estimation of surface latent heat fluxes in an oasis utilizing a two-source energy balance model based on land surface temperature decomposition. Journal of Applied Remote Sensing, 13(3), 034504. https://doi.org/10.1117/1.jrs.13.034504

  4. Area Change of Snow and Ice in the Babao River Basin, Tibetan Plateau

    Snow Hydrology
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    Citation:Area Change of Snow and Ice in the Babao River Basin, Tibetan Plateau

    Li Haojie, Li Hongyi, Wang Jian. (2019). Area Change of Snow and Ice in the Babao River Basin, Tibetan Plateau. IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, 4084-4087. https://doi.org/10.1109/igarss.2019.8898368

  5. Precipitation Change During the Snow Period in The Northern Xinjiang, a Typical Arid Region

    Snow HydrologySnow and Ice Water Resources and Hazards
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    Citation:Precipitation Change During the Snow Period in The Northern Xinjiang, a Typical Arid Region

    Wang Weiguo, Li Hongyi, Wang Jian. (2019). Precipitation Change During the Snow Period in The Northern Xinjiang, a Typical Arid Region. IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, 7770-7773. https://doi.org/10.1109/igarss.2019.8898767

  6. Retrieval of Snow Water Equivalent by Gamma

    Corrects soil-moisture disturbances and calibrates regional parameters in gamma-ray retrieval of snow water equivalent, bringing continuous, nondestructive observations closer to measured snow storage.

    Snow Hydrology
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    Citation:Retrieval of Snow Water Equivalent by Gamma

    Ma Yuan, Li Hongyi, Wang Jian, Hao Xiaohua. (2019). Retrieval of Snow Water Equivalent by Gamma. IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, 4121-4124. https://doi.org/10.1109/igarss.2019.8900393

  7. Comparison of Regional Climate-Model Precipitation Correction Methods for Cold-Region Hydrological Modelling [in Chinese]

    Snow and Ice Water Resources and Hazards
    Citation:Comparison of Regional Climate-Model Precipitation Correction Methods for Cold-Region Hydrological Modelling [in Chinese]

    Ma Jiapei, Li Hongyi, Wang Jian, Shao Donghang. (2019). Comparison of Regional Climate-Model Precipitation Correction Methods for Cold-Region Hydrological Modelling [in Chinese]. Remote Sensing Technology and Application, 34(3), 655-666.

2018

  1. Reconstruction of Remotely Sensed Snow Albedo for Quality Improvements Based on a Combination of Forward and Retrieval Models

    Uses physical forward simulations to fill remote sensing gaps and combines them with a retrieval model to reconstruct snow albedo, reducing cloud-related gaps and single-model errors in long time series.

    Snow Hydrology
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    Citation:Reconstruction of Remotely Sensed Snow Albedo for Quality Improvements Based on a Combination of Forward and Retrieval Models

    Shao Donghang, Xu Wenbo, Li Hongyi, Wang Jian, Hao Xiaohua. (2018). Reconstruction of Remotely Sensed Snow Albedo for Quality Improvements Based on a Combination of Forward and Retrieval Models. IEEE Transactions on Geoscience and Remote Sensing, 56(12), 6969-6985. https://doi.org/10.1109/tgrs.2018.2846681

  2. Understanding snow processes in high mountainous region: Observation system and integrated model

    Combines mass–energy observations with model diagnostics to identify high-elevation snowfall undercatch and wind-driven snow changes, highlighting limitations of one-dimensional snow models under strong winds.

    Snow Hydrology
    Citation:Understanding snow processes in high mountainous region: Observation system and integrated model

    Hongyi Li, Xin Li, Jian Wang, Ning Huang. (2018). Understanding snow processes in high mountainous region: Observation system and integrated model. SnowHydro 2018 – International Conference on Snow Hydrology, Heidelberg.

2017

  1. Distinguishing the Role of Wind in Snow Distribution by Utilizing Remote Sensing and Modeling Data: Case Study in the Northeastern Tibetan Plateau

    Finds a positive correlation between wind speed and snow cover below about 3,900 m in the Qilian Mountains and a negative correlation above, providing spatial evidence of wind transport from higher to lower elevations.

    Correlation between wind speed and snow cover
    Correlation between wind speed and snow cover
    Snow Hydrology
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    Citation:Distinguishing the Role of Wind in Snow Distribution by Utilizing Remote Sensing and Modeling Data: Case Study in the Northeastern Tibetan Plateau

    Shao Donghang, Li Hongyi, Wang Jian, Pan Xiaoduo, Hao Xiaohua. (2017). Distinguishing the Role of Wind in Snow Distribution by Utilizing Remote Sensing and Modeling Data: Case Study in the Northeastern Tibetan Plateau. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 10(10), 4445-4456. https://doi.org/10.1109/jstars.2017.2716388

  2. Improving Gamma-Ray Methods for Measuring Snow Water Equivalent [in Chinese]

    Accounts for soil-moisture changes and regional parameter calibration in gamma-ray snow water equivalent retrieval, reducing ground-surface interference and achieving a Nash–Sutcliffe efficiency of 0.99 during validation in Altay.

    Snow Hydrology
    Citation:Improving Gamma-Ray Methods for Measuring Snow Water Equivalent [in Chinese]

    Ma Yuan, Li Hongyi, Zhang Pu, Liu Dafeng, Huang Xiaodong, Hao Xiaohua, Shao Donghang, Wang Jian. (2017). Improving Gamma-Ray Methods for Measuring Snow Water Equivalent [in Chinese]. Remote Sensing Technology and Application, 32(1), 57-63.

  3. Snow Albedo Retrieval Using Multiple Remote Sensing Data Sources [in Chinese]

    Uses ART to correct anisotropic snow reflectance, demonstrating more accurate albedo estimates than MOD10A1 and revealing accuracy differences associated with scale effects in mountains.

    Snow Hydrology
    Citation:Snow Albedo Retrieval Using Multiple Remote Sensing Data Sources [in Chinese]

    Shao Donghang, Li Hongyi, Wang Jian, Hao Xiaohua, Wang Runke, Ma Yuan. (2017). Snow Albedo Retrieval Using Multiple Remote Sensing Data Sources [in Chinese]. Remote Sensing Technology and Application, 32(1), 71-77.

2016

  1. Snow Water Resources in Western China [in Chinese]

    Snow HydrologySnow and Ice Water Resources and Hazards
    Citation:Snow Water Resources in Western China [in Chinese]

    Li Hongyi, Li Jing, Dai Liyun, Wang Jian. (2016). Snow Water Resources in Western China [in Chinese]. Climate Change Impacts and Risks. Science Press, Chapter 7.

2015

  1. Downscaling Snow Cover Fraction Data in Mountainous Regions Based on Simulated Inhomogeneous Snow Ablation

    Introduces temperature- and radiation-driven heterogeneous ablation into spatial allocation to downscale fractional snow cover from 500 m to 30 m and recover snow locations within coarse pixels.

    Snow downscaling compared with remote sensing observations
    Snow downscaling compared with remote sensing observations
    Snow Hydrology
    Read paper
    Citation:Downscaling Snow Cover Fraction Data in Mountainous Regions Based on Simulated Inhomogeneous Snow Ablation

    Hong Yi Li, Yong Qi He, Xiao Hua Hao, Tao Che, Jian Wang, Xiao Dong Huang. (2015). Downscaling Snow Cover Fraction Data in Mountainous Regions Based on Simulated Inhomogeneous Snow Ablation. Remote Sensing, 7(7), 8995-9019. https://doi.org/10.3390/rs70708995

2014

  1. Synthesis method for simulating snow distribution utilizing remotely sensed data for the Tibetan Plateau

    Integrates multiple remote sensing sources with SnowModel using an ensemble Kalman filter to improve shallow, patchy snow simulation on the plateau, identifying the snow depletion curve as a key parameter for ungauged regions.

    Snow Hydrology
    Read paper
    Citation:Synthesis method for simulating snow distribution utilizing remotely sensed data for the Tibetan Plateau

    Li Hongyi, Tang Zhiguang, Wang Jian, Che Tao, Pan Xiaoduo, Huang Chunlin, Wang Xufeng, Hao Xiaohua, Sun Shaobo. (2014). Synthesis method for simulating snow distribution utilizing remotely sensed data for the Tibetan Plateau. Journal of Applied Remote Sensing, 8(1), 084696. https://doi.org/10.1117/1.jrs.8.084696

  2. Role of blowing snow in snow processes in Qilian Mountainous region

    Quantifies sublimation losses from blowing snow in the Qilian Mountains. Blowing-snow sublimation accounted for 41.5% of total snow sublimation at Yakou in 2008, demonstrating its substantial contribution to snow-season water loss.

    Snow Hydrology
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    Citation:Role of blowing snow in snow processes in Qilian Mountainous region

    Li, Hongyi, Wang, Jian, Hao, Xiaohua. (2014). Role of blowing snow in snow processes in Qilian Mountainous region. Sciences in Cold and Arid Regions, 6, 124-130. https://doi.org/10.3724/SP.J.1226.2014.00124

2013

  1. Key Issues and Advances in Snow Hydrological Modelling [in Chinese]

    Snow Hydrology
    Citation:Key Issues and Advances in Snow Hydrological Modelling [in Chinese]

    Li Hongyi, Wang Jian. (2013). Key Issues and Advances in Snow Hydrological Modelling [in Chinese]. Journal of Glaciology and Geocryology, 35(2), 430-437.

2011

  1. Simulation of snow distribution and melt under cloudy conditions in an Alpine watershed

    Combines energy-balance simulation with interpolation of snow-covered area beneath clouds to reconstruct spatial snow storage and melt runoff for a complete snow season, addressing discontinuous remote sensing in cloudy alpine catchments.

    Snow Hydrology
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    Citation:Simulation of snow distribution and melt under cloudy conditions in an Alpine watershed

    Li H.-Y., Wang J. (2011). Simulation of snow distribution and melt under cloudy conditions in an Alpine watershed. Hydrology and Earth System Sciences, 15(7), 2195-2203. https://doi.org/10.5194/hess-15-2195-2011

2009

  1. Hydrological Conditions During a Typical Snow Season in the Binggou Catchment of the Upper Heihe River Basin [in Chinese]

    Snow Hydrology
    Citation:Hydrological Conditions During a Typical Snow Season in the Binggou Catchment of the Upper Heihe River Basin [in Chinese]

    Li Hongyi, Wang Jian, Bai Yunjie, Li Zhe. (2009). Hydrological Conditions During a Typical Snow Season in the Binggou Catchment of the Upper Heihe River Basin [in Chinese]. Journal of Glaciology and Geocryology, 31(2), 293-300.

  2. Estimation of snow sublimation under a high-speed wind condition in alpine region watershed

    Includes both surface and blowing-snow sublimation in a probabilistic estimate, validated with observed snow losses in the Binggou catchment, to improve snow water-loss estimates in windy alpine catchments.

    Snow Hydrology
    Citation:Estimation of snow sublimation under a high-speed wind condition in alpine region watershed

    Li HY, Wang J, Li Z. (2009). Estimation of snow sublimation under a high-speed wind condition in alpine region watershed. Journal of Sichuan University (Engineering Science Edition), 46, 129-136.

2008

  1. Application of the SRM Snowmelt Runoff Model in the Upper Heihe River Basin [in Chinese]

    Snow HydrologySnow and Ice Water Resources and Hazards
    Citation:Application of the SRM Snowmelt Runoff Model in the Upper Heihe River Basin [in Chinese]

    Li Hongyi, Wang Jian. (2008). Application of the SRM Snowmelt Runoff Model in the Upper Heihe River Basin [in Chinese]. Journal of Glaciology and Geocryology, 30(5), 769-775.