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Laser-Induced Fluorescence Emission L.I.F.E. as Novel Non-Invasive Tool for In-Situ Measurements of Biomarkers in Cryospheric Habitats
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What drives the decrease of glacier surface albedo in High Mountain Asia in the past two decades?

Yao Xiao1, Chang-Qing Ke1, Xiaoyi Shen1

  • 1Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Key Laboratory for Land Satellite Remote Sensing Applications of Ministry of Natural Resources, School of Geography and Ocean Science, Nanjing University, Nanjing 210023, China; Collaborative Innovation Center of Novel Software Technology and Industrialization, Nanjing 210023, China; Collaborative Innovation Center of South China Sea Studies, Nanjing 210023, China.

The Science of the Total Environment
|December 16, 2022
PubMed
Summary

Glacier albedo is decreasing across High-Mountains Asia due to climate factors and light-absorbing particles like black carbon and dust. Snowfall and its interaction with these particles are key drivers of these changes, impacting glacier mass balance.

Keywords:
Driving factorGeographical detector modelGlacier albedo changesHigh Mountain AsiaInteraction

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Area of Science:

  • Glaciology and Climate Science
  • Remote Sensing and Earth Observation
  • Environmental Science and Policy

Background:

  • Glacier surface albedo is crucial for glacier ablation and influences glacier mass balance through a positive feedback loop.
  • Understanding the drivers and mechanisms of glacier albedo changes (GAC) is vital for predicting glacier behavior and its impact on regional hydrology.
  • Previous studies have highlighted the importance of albedo but lacked detailed spatial analysis of driving factors across High-Mountains Asia (HMA).

Purpose of the Study:

  • To analyze glacier albedo trends in High-Mountains Asia (HMA) from 2000 to 2020 using MODIS albedo products.
  • To identify and quantify the driving factors, including climate variables and light-absorbing particles, influencing GAC.
  • To investigate the spatial variations and interactions of these driving factors across different subregions and elevation zones within HMA.

Main Methods:

  • Utilized Moderate Resolution Imaging Spectroradiometer (MODIS)-derived albedo products (MOD10A1 and MYD10A1) to calculate glacier albedo trends.
  • Employed the geographical detector model (GDM) to quantitatively assess the influence of single factors and their interactions on GAC.
  • Analyzed data across 15 subregions and various elevation zones within HMA to capture spatial heterogeneity.

Main Results:

  • Observed a significant decreasing trend in glacier albedo across HMA at a rate of 0.25 × 10-2 yr-1, with notable spatial differences.
  • Solid precipitation (snowfall) emerged as the dominant factor influencing GAC, followed by glacier surface temperature.
  • Black carbon (BC) and dust showed significant impacts, particularly in specific subregions, with their interactions with snowfall being the strongest drivers of GAC.

Conclusions:

  • Glacier albedo is declining in HMA, driven by a combination of climatic factors and light-absorbing impurities.
  • Snowfall, black carbon, and dust interactions are critical in modulating glacier albedo changes, with significant regional variations.
  • The findings provide crucial insights for understanding glacier mass balance dynamics and inform climate change adaptation strategies in mountainous regions.