Geophysical Research Letters (Sep 2023)

Seasonal Peak Snow Predictability Derived From Early‐Season Snow in North America

  • Jessica D. Lundquist,
  • Rhae Sung Kim,
  • Michael Durand,
  • Laura R. Prugh

DOI
https://doi.org/10.1029/2023GL103802
Journal volume & issue
Vol. 50, no. 17
pp. n/a – n/a

Abstract

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Abstract SNOwpack TELemetry observations and model simulations both demonstrate that the fractional contribution of October through December (early season) snowfall to peak snow accumulation in North America increases with latitude due to both colder temperatures and Pacific storm tracks focusing further north earlier in the season. Early season snowfall also makes up greater than 60 percent of peak accumulation in interior low‐precipitation locations leeward of mountains, particularly those that are subject to strong, warm winds and midwinter snow loss. Early season snow observations show promise in predicting peak snow water equivalent in locations where large‐scale ocean‐atmosphere patterns similarly influence fall and winter conditions, and in northern maritime locations where winter temperatures are warm enough that rain on snow and midwinter melt occur. Because climate change is likely to increase the extent of midwinter melt, the latter relationship is expected to become important over more locations in the future.

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