4.7 Article

Challenges and Capabilities in Estimating Snow Mass Intercepted in Conifer Canopies With Tree Sway Monitoring

期刊

WATER RESOURCES RESEARCH
卷 58, 期 3, 页码 -

出版社

AMER GEOPHYSICAL UNION
DOI: 10.1029/2021WR030972

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资金

  1. National Science Foundation (NSF EAR Award) [1761441]
  2. Advanced Study Program (ASP) at NCAR
  3. CIRES Visiting Fellow program
  4. U.S. DOE, Office of Science through the AmeriFlux Management Project (AMP) at Lawrence Berkeley National Laboratory [7094866]
  5. National Science Foundation
  6. Division Of Earth Sciences
  7. Directorate For Geosciences [1761441] Funding Source: National Science Foundation

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This study examines the use of monitoring tree sway to detect snow interception and quantify canopy snow water equivalent (SWE). The researchers found that larger changes in tree sway were generally not attributed to thermal effects, and the presence of canopy snow was correlated with total snowstorm amounts.
Snowpack accumulation in forested watersheds depends on the amount of snow intercepted in the canopy and its partitioning into sublimation, unloading, and melt. A lack of canopy snow measurements limits our ability to evaluate models that simulate canopy processes and predict snowpack. We tested whether monitoring changes in wind-induced tree sway is a viable technique for detecting snow interception and quantifying canopy snow water equivalent (SWE). Over a 6 year period in Colorado, we monitored hourly sway of two conifers, each instrumented with an accelerometer sampling at 12 Hz. We developed an approach to distinguish changes in sway frequency due to thermal effects on tree rigidity versus intercepted snow mass. Over 60% of days with canopy snow had a sway signal that could not be distinguished from thermal effects. However, larger changes in tree sway could not generally be attributed to thermal effects, and canopy snow was present 93%-95% of the time, as confirmed with classified PhenoCam imagery. Using sway tests, we converted changes in sway to canopy SWE, which were correlated with total snowstorm amounts from a nearby SNOTEL site (Spearman r = 0.72 to 0.80, p < 0.001). Greater canopy SWE was associated with storm temperatures between -7 degrees C and 0 degrees C and wind speeds less than 4 m s(-1). Lower canopy SWE prevailed in storms with lower temperatures and higher wind speeds. Monitoring tree sway is a viable approach for quantifying canopy SWE, but challenges remain in converting changes in sway to mass and distinguishing thermal and snow mass effects on tree sway.

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