EGU23-9330, updated on 26 Apr 2023
https://doi.org/10.5194/egusphere-egu23-9330
EGU General Assembly 2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Glacier darkening quantified from airborne imaging spectroscopy, Place Glacier, British Columbia, Canada

Christopher Donahue1,2, Brian Menounos1,2, Nick Viner2, Steven Beffort2, Santiago Gonzalez Arriola2, Rob White2, and Derek Heathfield2
Christopher Donahue et al.
  • 1Department of Geography, Earth and Environmental Sciences, University of Northern British Columbia, Prince George, British Columbia, Canada
  • 2Hakai Institute, Campbell River, Quadra Island, British Columbia, Canada

Seasonal to long-term changes in albedo, or glacier darkening, is a critical parameter for energy and mass balance models. Yet many of these models employ simple parameterization schemes that darken snow and ice surfaces non-linearly through time. This simplification is not representative of the complex controls on albedo that vary spatially and temporally, driven by atmospheric processes, surface-atmosphere interaction, topography, and timing of glacier ice exposure. Albedo also spectrally varies, controlled by concentrations of light absorbing constituents (LACs) in the visible wavelengths and grain size in the near infrared wavelengths. Radiative forcing by LACs can enhance grain growth, leading to more rapid glacier darkening over the full solar spectrum. This process can accelerate as snow and ice melts because LACs tend to accumulate at the surface which can lead to increased radiative forcing over time for some glaciers. As temperatures warm, and aerosols increase due to land use change, drought, fire, and urbanization, it is likely that glacier darkening will intensify. To better quantify seasonal rates of darkening, and understand controls on intra- and interannual variability, we collected and analyzed a rich dataset obtained from imaging spectroscopy and lidar collected over Place Glacier in the Coast Mountains of British Columbia, Canada. Over the years 2021-2022, we acquired monthly data during the period of snow and glacier melt (March to October for 2021 and July to October 2022) using an aircraft with dedicated lidar (Riegl-780) and hyperspectral (Specim-Fenix; 451 bands) sensors. We processed these monthly acquisitions into 1-m, analysis-ready products. We describe our workflow for these products including development of snow and ice surface property retrievals in complex mountainous terrain. Our workflow yields retrievals that include broadband albedo, radiative forcing by LACs, and grain size. Radiative forcing from LACs can originate from abiotic and biotic sources, and we use the Modern-Era Retrospective Analysis for Research and Applications, Version 2 (MERRA-2) to interpret our retrievals with respect to contributions from dust and black carbon. We also highlight how these data can be used to understand seasonal glacier darkening events that occurred during a heat dome, snow algae blooms, and a late start to accumulation season. All these events are expected to increase in frequency or intensity due to climate change and hence, a better understanding of these physical processes will lead to improved physical models for future glacier evolution.

How to cite: Donahue, C., Menounos, B., Viner, N., Beffort, S., Gonzalez Arriola, S., White, R., and Heathfield, D.: Glacier darkening quantified from airborne imaging spectroscopy, Place Glacier, British Columbia, Canada, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-9330, https://doi.org/10.5194/egusphere-egu23-9330, 2023.