Projects
Alaska Glaciers in a Warming Climate
2025-ongoing
Glaciers across Alaska are undergoing rapid mass loss, with implications for sea-level rise, natural hazards, water resources, and more. Here, we utilize new observations of Alaskan glaciers at high spatiotemporal resolutions to improve projections to 2100. Specifically, we incorporate snowline and melt extent observations into the calibration scheme for a large-scale glacier evolution model, PyGEM, and subsequently simulate future changes under various climate scenarios. We find that glaciers in Alaska will lose 49 ± 17% to 73 ± 26% of their 2015 mass by the end of the century, depending on the future climate. We show that nearly all small glaciers (<1 km2) will disappear by 2100 regardless of the climate scenario, along with the smallest glaciated subregions of Alaska, namely, the Brooks and Talkeetna ranges. Across larger subregions, we show negative mass balance to peak in the middle of the 21st century for the modest future warming scenario, while negative mass balance continues to increase to 2100 for the most aggressive future warming scenario. Much of these changes can be attributed to increasing temperatures that cause greater melt, but we also note a shift in early-winter precipitation from snow to rain which reduces accumulation and enhances melt. The widespread glacier mass loss by 2100 will result in a drastic decrease in the total amount of runoff from glaciers in Alaska, which has implications on ecology and water resources across the region.

Assessing regional melt patterns for improved projections of Alaskan glacier change
2025
Synthetic aperture radar (SAR) satellite systems offer a promising avenue to monitor sub-seasonal glacier changes at high spatial resolution on a global scale. Unlike optical sensors, SAR is uniquely robust and reliable, as it penetrates clouds and functions independently to sunlight. This capability is especially crucial in mountainous regions in Alaska, where persistent cloud cover and long, dark winters limit optical observations. Particularly promising are the two Sentinel-1 satellites, which have yielded a continuous SAR record (12-day repeat) since 2016. We seek to process all Sentinel-1 SAR data for glaciers in Alaska to estimate glacier melt extents over time, which are ultimately crucial towards improving projections of glacier mass loss and the subsequent downstream effects associated with these changes throughout the 21st century. In addition to investigating the spatiotemporal melt patterns of glaciers across Alaska, we will utilize these observations in large-scale glacier evolution model calibration schemes to refine projections of modeled glacier change.
interact with the data publication

A framework for deriving mountain glacier climatic mass balance gradients leveraging remote sensing, modeled, and in-situ data
2024-ongoing
The climatic mass balance gradient refers to how the sum of accumulation, refreeze, and melt varies with elevation. The climatic mass balance gradient provides insight into the dominant processes driving glaciers’ response to climate change, which, if known, can enable the isolation of the ice flux: a key component in understanding glacier response times. These response times are crucial for forecasting glacier committed mass loss and changes to current mass imbalances. Mass balance gradients are therefore a simple yet powerful indicator of glaciers’ long-term health and response to climate change. The primary objective of this project is to develop robust approaches to estimate the climatic mass balance gradient for a few well-studied glaciers in Alaska. We will use global, publicly available remote sensing-derived glacier surface velocities, elevation, and ice thickness products in conjunction with velocity and flux divergence estimates from a finite element glacier flow model. We will calculate the climatic mass balance in a portion of the lower ablation area–where we identify data to be the most accurate–and use new melt extent and snowline datasets to determine the equilibrium-line altitude, enabling us to derive the climatic mass balance gradient. Ultimately, we aim to develop a framework to derive the climatic mass balance gradient that has the potential to scale more broadly to glaciers around the region.

Historical glacier reconstruction for enhanced understanding of past changes and impacts on modeled projections
2022-2025
Long-term historical records of glacier mass change are key to advancing our understanding of how glaciers are responding to climate change and improving predictions of their future. We use historical aerial photographs and new bed topography measurements to obtain an 85-year record of glacier change on Kennicott and Root Glaciers in Alaska. We observe a clear shift from a likely near-equilibrium state before 1957, to ongoing and accelerating mass loss throughout the late 20th and into the 21st century. Stark differences in the timing and pattern of thinning on the terminus of Kennicott and Root Glaciers emphasize the impact of debris cover on surface mass balance and ice fluxes. Under heavy debris on Kennicott Glacier, the timing of thinning aligns with reduced surface velocities, while thinning on Root Glacier corresponds to changes in the surface mass balance. Projections from a glacier evolution model that leverage these data predict accelerating rates of mass loss through at least 2050 before leveling out or trending back toward equilibrium by the end of the century. While the detailed pattern of mass loss varies between the two glaciers, these improved projections ultimately suggest that 38 to 60% of Kennicott and Root Glaciers’ total mass in 2000 will be lost by 2100, depending on the emissions scenario. Not only does such analysis enhance our understanding of glaciers’ response to climate change, but also better prepares society for the adverse impacts accompanying glacier mass loss. Thus, by leveraging historical data, we can better plan for future changes including developing adaptation and mitigation strategies for the corresponding impacts on sea-level rise, ecosystems, water resources, and the communities that rely on these glaciers.
publication

GNSS reflectometry from low-cost sensors for continuous in-situ contemporaneous glacier mass balance and flux divergence
2021-2024
Recent advances in remote sensing have produced global glacier surface elevation change data. Parsing these elevation change signals into contributions from the climate (i.e. climatic mass balance) and glacier dynamics (i.e. flux divergence) is critical to enhancing our process-based understanding of glacier change. We evaluated three approaches for direct, continuous measurements of the climatic mass balance, flux divergence, and elevation change at a site on Gulkana Glacier in Alaska using low-cost global navigation satellite system (GNSS) sensors, GNSS interferometric reflectometry (GNSS-IR), banded ablation stakes with time-lapse cameras and combinations thereof. We showed that contemporaneous climatic mass balance, flux divergence, and elevation change can be obtained from a single GNSS system fixed atop an ablation stake. Thus, the data provide critical high-temporal resolution calibration and validation data for modeled and remote sensing-derived products alike, especially for efforts that seek to separate flux divergence signals from total elevation change. As one of the first studies leveraging GNSS-IR on a mountain glacier, we see potential in GNSS-IR for future in situ investigations of mountain glaciers, as it reduces the barrier for otherwise difficult simultaneous climatic mass balance and flux divergence measurements. While our study deployed systems during the ablation season, we see the potential for year-round observations on mountain glaciers in the future.
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