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A laboratory-based spectrometer intercomparison for the measurement of snow spectra

  • Benjamin M. Roberts-Pierel
  • , Christopher J. Crawford
  • , Steven W. Brown
  • , Raymond F. Kokaly
  • , Kelly E. Gleason
  • , Anne W. Nolin
  • , Edward H. Bair
  • , Brenton A. Wilder
  • , Anton J. Surunis
  • , S. Mc Kenzie K. Skiles
  • , Joachim Meyer
  • , Allyson E. Fitts
  • , Jeremy M. Johnston
  • , Adam G. Hunsaker
  • , Martin Stuefer
  • , Trond Løke
  • United States Geological Survey
  • National Institute of Standards and Technology
  • Portland State University
  • University of Nevada, Reno
  • Leidos Inc
  • California Institute of Technology
  • University of Utah
  • Boise State University
  • University of New Hampshire
  • University of Alaska Fairbanks
  • Norsk Elektro Optikk A/S

Research output: Contribution to journalArticlepeer-review

Abstract

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.

Original languageEnglish
Article number104800
JournalCold Regions Science and Technology
DOIs
StateAccepted/In press - 2026
Externally publishedYes

Keywords

  • Field spectrometer
  • Imaging spectroscopy
  • Intercomparison
  • Remote sensing
  • Seasonal snow properties
  • Spectroscopy

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