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Benjamin Smith

Senior Principal Physicist

Affiliate Associate Professor, Earth and Space Sciences

Email

bsmith@apl.washington.edu

Phone

206-616-9176

Department Affiliation

Polar Science Center

Education

B.S. Physics, University of Chicago, 1997

M.S. Geology & Geophysics, University of Wisconsin - Madison, 1999

Ph.D. Earth & Space Sciences/Geophysics, University of Washington - Seattle, 2005

Publications

2000-present and while at APL-UW

Compounding sub-seasonal variations in Greenland outlet glacier dynamics revealed by high-resolution observations

Zhang, E., G. Catania, B. Smith, D. Felikson, B. Csatho, and D.T. Trugman, "Compounding sub-seasonal variations in Greenland outlet glacier dynamics revealed by high-resolution observations," Cryosphere, 20, 3875-3891, doi:10.5194/tc-20-3875-2026, 2026.

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14 Jul 2026

Understanding the controls on seasonal velocity change for tidewater glaciers may provide insight into long-term retreat and acceleration. Leveraging recent high-resolution satellite data, we examine changes in surface elevation, velocity, and terminus position for four glaciers in Central Western Greenland over 2015–2021. Our approach uses a simplified force balance focused at the terminus to model the expected response in upstream velocity caused by the observed terminus changes. We find that seasonal velocities are strongly controlled by terminus advance/retreat for two glaciers. Residuals between modeled and observed velocities reveal two distinct signals: summertime pulses coincident with peak runoff and wintertime speedup extending several kilometers inland of the terminus. We evaluate the sensitivity of terminus-driven velocity to elevation change by incorporating observed seasonally varying surface topography and applying controlled modifications to the profile, specifically uniform vertical shifts and variations in surface slope. We find surface slope changes impact velocity response to terminus changes more than spatially uniform changes in elevation. Increased surface slope amplifies velocity response to terminus changes. While simplified, our model could be applied to other glaciers to assess the importance of terminus position change as a driver of seasonal velocity.

Assessment of the Ice, Cloud, and Land Elevation Satellite-2 performance against prime mission science requirements

Magruder, L.A., T. Neumann, N. Kurtz, T.C. Sutterley, D. Hancock, P. Vornberger, J. Robbins, and B. Smith, "Assessment of the Ice, Cloud, and Land Elevation Satellite-2 performance against prime mission science requirements," Earth Space Sci., 12, doi:10.1029/2025EA004221, 2025.

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23 Apr 2025

The Ice, Cloud, and land Elevation Satellite-2 (ICESat-2) is a NASA Earth observing satellite mission that provides global elevation measurements using the Advanced Topographic Laser Altimetry System (ATLAS). ICESat-2 was launched in September 2018 and completed its prime mission of 3 years of on-orbit science data collection in December 2021. ICESat-2, as the successor mission to ICESat (2003–2009) (Schutz et al., 2005, https://doi.org/10.1029/2005gl024009), was designed to provide global elevation measurements of Earth's surfaces. Changes in elevation, such as those over glaciers, ice sheets and sea ice, are some of the most critical observations for characterizing and understanding Earth's dynamic processes and the response to climate variability. The overarching scientific goals of ICESat-2 are associated primarily with the cryosphere, but from a space-based platform, the altimeter measurements serve a wide range of science disciplines. Prior to launch during the early mission development phase, the Level 1 Science Requirements were established, which at the time were some of the most stringent metrics created for space-based altimetry. These requirements were the primary drivers of both the instrument technology development and the mission operational strategies. Here, we evaluate each of the science requirements using the science data collected over the prime mission timeline of 3 years. We conclude from our analyses that the mission has successfully met each of the Level 1 Science Requirements. Further, we evaluate the onboard consumables (fuel and laser energy) and demonstrate that the satellite's operational lifetime could potentially last an additional ~10 years.

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

Smith, B.E., M. Studinger, T. Sutterley, Z. Fair, and T. Neumann, "Understanding biases in ICESat-2 data due to subsurface scattering using Airborne Topographic Mapper waveform data," Cryosphere, 19, 975-995, doi:10.5194/tc-19-975-2025, 2025.

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5 Mar 2025

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 thus they can result in spatially and temporally varying surface height biases estimated from laser altimeters, such as NASA's ICESat-2 (Ice Cloud, and land Elevation Satellite-2) mission. Modeling suggests that ICESat-2 might experience a bias difference as large as 0.1-0.2 m between coarse-grained melting snow and fine-grained wintertime snow (Smith et al., 2018), which exceeds the mission's requirement to measure seasonal height differences to an accuracy better than 0.1 m (Markus et al., 2017). In this study, we investigate these biases using a model of subsurface scattering, laser altimetry measurements from NASA's ATM (Airborne Topographic Mapper) 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 show 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 satellite optical imagery match the biases in the data. This work demonstrates that waveform-based altimetry data can measure the optical properties of granular surfaces and that corrections based on optical grain size estimates can correct for subsurface-scattering biases in ICESat-2 data.

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In The News

NASA selects UW-led STRIVE and EDGE teams for satellite missions

UW News, Gillian Dohrn

NASA announced last week that both the University of Washington STRIVE team and the UW-affiliated EDGE team were selected to lead satellite missions to better understand Earth and improve capabilities to foresee environmental events and mitigate disasters.

10 Feb 2026

UW-led project to study ozone, atmospheric layers a finalist for next-generation NASA satellite

UW News, Hannah Hickey

A project led by the University of Washington to better understand our atmosphere's complexity is a finalist for NASA's next generation of Earth-observing satellites. The four teams that reached the proof-of-concept stage will spend the next year refining their proposals. NASA will then review the concept study reports and select two for implementation.

14 May 2024

How ants inspired a new way to measure snow with space lasers

Wired, Matt Simon

Glaciologist Ben Smith comments on a clever new technique to measure fluffy snow on the Earth's surface with the orbiting ICESat-2 lidar instrument.

31 May 2022

More News Items

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