TY - JOUR
T1 - A laboratory-based spectrometer intercomparison for the measurement of snow spectra
AU - Roberts-Pierel, Benjamin M.
AU - Crawford, Christopher J.
AU - Brown, Steven W.
AU - Kokaly, Raymond F.
AU - Gleason, Kelly E.
AU - Nolin, Anne W.
AU - Bair, Edward H.
AU - Wilder, Brenton A.
AU - Surunis, Anton J.
AU - Skiles, S. Mc Kenzie K.
AU - Meyer, Joachim
AU - Fitts, Allyson E.
AU - Johnston, Jeremy M.
AU - Hunsaker, Adam G.
AU - Stuefer, Martin
AU - Løke, Trond
N1 - Publisher Copyright:
© 2025 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license. http://creativecommons.org/licenses/by-nc-nd/4.0/
PY - 2026
Y1 - 2026
N2 - Seasonal snow is an integral component of global hydrological systems, global energy budget and Earth's climate. As an important part of many Earth systems, seasonal snow is also an essential source of water for many human populations and ecosystems around the world. As such, the measurement of seasonal snow and characterization of uncertainty in those measurements is crucial. To elucidate potential uncertainty attributable to commonly used field spectrometers (and to a lesser extent imaging spectrometers) and associated reference panels, this work presents results from an intercalibration experiment conducted synchronously with the NASA 2023 Snow Experiment (SnowEx) Albedo campaign near Fairbanks, Alaska USA. Three sets of experiments were carried out under controlled laboratory conditions to characterize the radiometric and spectral wavelength consistency of the instruments as well as the white reference panels used to calculate reflectance from field measurements. Although there was generally good agreement between the instruments, panels, and the references, there were also some notable differences. One instrument showed an average − 74 % change from the reference for radiance, and multiple instruments exceeded the suggested 0.5 nm threshold for spectral wavelength scale. The Discussion section highlights how some of these findings and their implications could improve future field campaigns and general use/maintenance of these high-precision scientific instruments.
AB - Seasonal snow is an integral component of global hydrological systems, global energy budget and Earth's climate. As an important part of many Earth systems, seasonal snow is also an essential source of water for many human populations and ecosystems around the world. As such, the measurement of seasonal snow and characterization of uncertainty in those measurements is crucial. To elucidate potential uncertainty attributable to commonly used field spectrometers (and to a lesser extent imaging spectrometers) and associated reference panels, this work presents results from an intercalibration experiment conducted synchronously with the NASA 2023 Snow Experiment (SnowEx) Albedo campaign near Fairbanks, Alaska USA. Three sets of experiments were carried out under controlled laboratory conditions to characterize the radiometric and spectral wavelength consistency of the instruments as well as the white reference panels used to calculate reflectance from field measurements. Although there was generally good agreement between the instruments, panels, and the references, there were also some notable differences. One instrument showed an average − 74 % change from the reference for radiance, and multiple instruments exceeded the suggested 0.5 nm threshold for spectral wavelength scale. The Discussion section highlights how some of these findings and their implications could improve future field campaigns and general use/maintenance of these high-precision scientific instruments.
KW - Field spectrometer
KW - Imaging spectroscopy
KW - Intercomparison
KW - Remote sensing
KW - Seasonal snow properties
KW - Spectroscopy
UR - https://www.scopus.com/pages/publications/105029821891
U2 - 10.1016/j.coldregions.2025.104800
DO - 10.1016/j.coldregions.2025.104800
M3 - Article
AN - SCOPUS:105029821891
SN - 0165-232X
JO - Cold Regions Science and Technology
JF - Cold Regions Science and Technology
M1 - 104800
ER -