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Seismic constraints on glacier density.

Ariane Lanteri1, Scott Keating2, Lars Gebraad2

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Summary
This summary is machine-generated.

Direct seismic data reveals firn density, crucial for understanding ice bodies and climate. This method offers accurate measurements, unlike traditional seismic wave speed relations.

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Area of Science:

  • Geophysics
  • Glaciology
  • Climate Science

Background:

  • Terrestrial ice bodies are critical for climate regulation and sea-level variations.
  • Accurate mass density of land ice is vital for climate studies, water resource management, and ecosystem health.
  • Understanding firn density is essential for mass balance estimations, including ice loss and melt.

Purpose of the Study:

  • To develop a novel method for directly constraining firn density using seismic data.
  • To improve the accuracy of mass density estimations in the transitional layer between snow and glacial ice.
  • To assess the reliability of traditional seismic wave speed-to-density scaling relations.

Main Methods:

  • Utilized densely sampled fiber-optic sensing data from anthropogenic sources.
  • Employed Hamiltonian Monte Carlo sampling for direct seismic constraints on firn density.
  • Analyzed high-quality surface-wave overtone data to probe density down to 100 meters.

Main Results:

  • Successfully extracted direct seismic constraints on firn density.
  • Demonstrated that surface-wave overtone data can accurately determine density to approximately 100 m depth.
  • Identified significant deviations (around ±10%) between direct density constraints and commonly used seismic wave speed scaling relations.

Conclusions:

  • The novel seismic approach provides direct and reliable firn density measurements, avoiding biases and empirical assumptions.
  • Traditional scaling relations may lead to inaccuracies in estimating ice mass and glacial density structure.
  • Accurate firn density data is crucial for precise climate modeling and sea-level change assessments.