Preprints
https://doi.org/10.5194/tc-2023-147
https://doi.org/10.5194/tc-2023-147
11 Oct 2023
 | 11 Oct 2023
Status: a revised version of this preprint is currently under review for the journal TC.

Understanding biases in ICESat-2 data due to subsurface scattering using Airborne Topographic Mapper waveform data

Benjamin Smith, Michael Studinger, Tyler Sutterley, Zachary Fair, and Thomas Neumann

Abstract. The process of laser light reflecting from surfaces made of scattering materials that do not strongly absorb at the wavelength of the laser can involve reflections from hundreds or thousands of individual grains, which can introduce delays in the time between light entering and leaving the surface. These time of flight biases depend on the grain size and density of the medium, and so can result in spatially and temporally varying surface height biases estimated from NASA’s ICESat-2 (Ice Cloud, and land Elevation Satellite-2) mission. In this study, we investigate these biases using a model of subsurface scattering, altimetry measurements form NASA’s ATM (Airborne Topographic Mapping system), and grain-size estimates based on optical imagery of the ice sheet. We demonstrate that distortions in the shapes of waveforms measured using ATM are related to the optical grain size of the surface estimated using optical reflectance measurements, and argue that they can be used to estimate an effective grain radius for the surface. Using this effective grain radius as a proxy for the severity of subsurface scattering, we use our model with grain-size estimates from optical imagery to simulate corrections for biases in ICESat-2 data due to subsurface scattering, and demonstrate that on the basis of large-scale averages, the corrections calculated based on the optical imagery match the biases in the data. This work demonstrates that waveform-based altimetry data has the potential to measure the optical properties of granular surfaces, and that corrections based on optical grain-size estimates have the potential to correct for subsurface-scattering biases in ICESat-2 data.

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Benjamin Smith, Michael Studinger, Tyler Sutterley, Zachary Fair, and Thomas Neumann

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on tc-2023-147', Anonymous Referee #1, 08 Nov 2023
    • AC1: 'Reply on RC1', Benjamin Smith, 14 May 2024
  • RC2: 'Comment on tc-2023-147', Anonymous Referee #2, 08 Nov 2023
    • AC2: 'Reply on RC2', Benjamin Smith, 14 May 2024
Benjamin Smith, Michael Studinger, Tyler Sutterley, Zachary Fair, and Thomas Neumann
Benjamin Smith, Michael Studinger, Tyler Sutterley, Zachary Fair, and Thomas Neumann

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Latest update: 20 Jul 2024
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Short summary
This study investigates errors (biases) that may result when green lasers are used to measure the elevation of glaciers and ice sheets. These biases are important because if the snow or ice on top of the ice sheet changes, it can make the elevation of the ice appear to change by the wrong amount. We measure these biases over the Greenland Ice Sheet with a laser system on an airplane, and explore how the use of satellite data can let us correct for the biases.