4.6 Review

A Review of the Hydrologic Response Mechanisms During Mountain Rain-on-Snow

Journal

FRONTIERS IN EARTH SCIENCE
Volume 10, Issue -, Pages -

Publisher

FRONTIERS MEDIA SA
DOI: 10.3389/feart.2022.791760

Keywords

rain-on-snow; snowmelt; terrestrial water input; snow energy balance; hydraulic conductivity

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This mini review summarizes the literature on the physical processes governing mountain rain-on-snow (ROS) events. It proposes a classification scheme using the terms active and passive to describe a snowpack's contribution to terrestrial water input (TWI) during ROS. Active snowpacks contribute meltwater to TWI via the energy balance, while passive snowpacks simply convey rainwater through the snow matrix. This classification scheme helps improve communication and interpretation of past findings, and aids in forecasting future events.
Mountain rain-on-snow (ROS) generates large flooding events worldwide. Climate warming will enhance the frequency, magnitude, and widespread nature of these events. Past studies indicate rainfall, not snowmelt, typically drives much of the runoff response during ROS. However, there is substantial event-to-event variability-resulting from shifting atmospheric drivers and nuanced physical mechanisms governing water flow through a snowpack. Historically, turbulent fluxes were assumed to dominate the energy balance for snowmelt during ROS. Recent research nonetheless suggests that other components of the energy balance might be larger drivers depending on: 1) the time of year; 2) the elevation; and 3) the aspect of the slope. This mini review summarizes the literature on the physical processes governing ROS and proposes that moving forward we utilize the terms active and passive to describe a snowpack's contribution (via snowmelt) to terrestrial water input (TWI) during ROS. Active snowpacks readily contribute meltwater to TWI via the energy balance, bolstering rainfall-runoff totals. Passive snowpacks do not melt, but simply convey rainwater through the snow matrix. In both snowpack cases, preferential flow paths enhance transmissivity. This proposed classification scheme will help researchers and water managers better communicate and interpret past findings, and aid in forecasting discussions of future events.

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