Li et al. (2025) Wind Shaped Winter Snow Mass Balance at High Altitude: Insights From an Integrated Snow Observation System

⚠️ Warning: This summary was generated from the abstract only, as the full text was not available.

Identification

• Journal: Water Resources Research
• Year: 2025
• Date: 2025-11-25
• Authors: Hongyi Li, Tao Che, Yang Zhang
• DOI: 10.1029/2025wr039885

Research Groups

Not explicitly mentioned in the abstract.

Short Summary

This study develops an integrated observation system and a Gaussian kernel-based probabilistic classification method to quantify wind-driven snow events in the northeastern Tibetan Plateau, revealing that wind-driven processes account for 68.5% of snow mass changes and amplify sublimation above 8 m/s wind speeds.

Objective

• To develop an integrated observation system and a robust Gaussian kernel-based probabilistic classification method to accurately identify and quantify wind-driven snow events and their influence on snow mass balance in high-altitude regions like the Tibetan Plateau.

Study Configuration

• Spatial Scale: A single observation site in the northeastern Tibetan Plateau at an elevation of 4,147 m.
• Temporal Scale: Winter season, focusing on continuous monitoring of rapid snow mass changes.

Methodology and Data

• Models used: Gaussian kernel-based probabilistic classification method (developed in this study).
• Data sources: Integrated in-situ observation system monitoring wind-blown snow processes.

Main Results

• Wind-driven snow deposition and erosion events constitute 68.5% of observed snow mass changes.
• Purely precipitation-driven accumulation events contribute only 3.1% of total changes.
• Mixed events, involving both precipitation and wind-driven processes, account for the remaining 28.4%.
• Blowing snow sublimation is amplified when wind speeds exceed approximately 8 m/s.
• Continuous wind-driven reshaping leads to rapid changes in snow depth, density, and thermal properties.

Contributions

• Provides a robust method for identifying wind-driven snow events incorporating measurement uncertainties.
• Quantifies the dominant influence of wind-driven processes on snow mass balance in high-altitude environments.
• Offers observational evidence for amplified blowing snow sublimation at wind speeds above 8 m/s.
• Highlights the necessity of incorporating wind-driven processes into high-altitude snow models and monitoring systems, challenging traditional modeling assumptions of gradual snowpack evolution.

Funding

Not explicitly mentioned in the abstract.

Citation

@article{Li2025Wind,
  author = {Li, Hongyi and Che, Tao and Zhang, Yang},
  title = {Wind Shaped Winter Snow Mass Balance at High Altitude: Insights From an Integrated Snow Observation System},
  journal = {Water Resources Research},
  year = {2025},
  doi = {10.1029/2025wr039885},
  url = {https://doi.org/10.1029/2025wr039885}
}