Articles | Volume 18, issue 5
https://doi.org/10.5194/tc-18-2625-2024
https://doi.org/10.5194/tc-18-2625-2024
Research article
 | 
31 May 2024
Research article |  | 31 May 2024

Estimating differential penetration of green (532 nm) laser light over sea ice with NASA's Airborne Topographic Mapper: observations and models

Michael Studinger, Benjamin E. Smith, Nathan Kurtz, Alek Petty, Tyler Sutterley, and Rachel Tilling

Data sets

NASA's Airborne Topographic Mapper (ATM) ground calibration data for waveform data products M. Studinger et al. https://doi.org/10.5281/zenodo.7225936

NASA’s Airborne Topographic Mapper (ATM) 110 airborne waveform and ground calibration data for the Arctic Spring campaign 2016 (1) M. Studinger et al. https://doi.org/10.5281/zenodo.8189441

ATLAS/ICESat-2 L3A Sea Ice Freeboard, Version 6 R. Kwok et al. https://doi.org/10.5067/ATLAS/ATL10.006

Aqua MODIS Corrected Reflectance (True Color) NASA Worldview Earthdata https://worldview.earthdata.nasa.gov

Model code and software

Airborne Topographic Mapper (ATM) Bathymetry Toolkit (1.0) M. Studinger https://doi.org/10.5281/zenodo.6341229

ATM Centroid Tracker (1.0.1) M. Studinger https://doi.org/10.5281/zenodo.10676624

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Short summary
We use green lidar data and natural-color imagery over sea ice to quantify elevation biases potentially impacting estimates of change in ice thickness of the polar regions. We complement our analysis using a model of scattering of light in snow and ice that predicts the shape of lidar waveforms reflecting from snow and ice surfaces based on the shape of the transmitted pulse. We find that biased elevations exist in airborne and spaceborne data products from green lidars.