Quantifying How Rain on Snow Events Change Snowpack Properties Using Caribou and Muskoxen as Test Cases

Information

  • NSF Award
  • 2402348
Owner
  • Award Id
    2402348
  • Award Effective Date
    4/1/2025 - a month from now
  • Award Expiration Date
    3/31/2030 - 5 years from now
  • Award Amount
    $ 2,236,536.00
  • Award Instrument
    Standard Grant

Quantifying How Rain on Snow Events Change Snowpack Properties Using Caribou and Muskoxen as Test Cases

Rain-on-snow (ROS) events – when rain falls on a cold snowpack, freezes, and creates a hard ice layer - are increasing in frequency across the Arctic. These events have dramatic and far-reaching impacts on the Arctic system for humans, society, infrastructure, wildlife, ecosystem function, soil, and vegetation. An assessment of the physical impacts of ROS events on snow and ice properties is urgently needed as the Arctic system warms rapidly and climate regimes shift at unprecedented rates. This project will assess and quantify the effects of ROS events on Arctic snowpacks through a combination of snow and ice field measurements, historical ROS observations, and the development of an ice-layer model (IceLayer) that quantifies ROS ice layers formed in snow. IceLayer will be used to identify thresholds in key snow and ice properties that influence winter mobility and forage accessibility for caribou and muskoxen. These species are a central component of Arctic systems, because human communities and ecosystems depend on them culturally, environmentally, and economically. <br/><br/>Despite growing concern regarding major Arctic system impacts resulting from ROS events, we lack methodologies to quantify and evaluate the effects of ROS on the snowpack (e.g., melting snow and subsequent ice layer formation on top, within, or below the snowpack). This project will quantify how ROS events modify snow and ice properties at spatiotemporal scales relevant to Arctic system processes, to produce information on ice-layer formation, thickness, snowpack position, and strength resulting from ROS events. This project will use the most widely applied snow modeling system in the world, SnowModel, and extend and enhance its current capabilities to simulate ROS-induced ice-layer formation and associated snowpack property changes, including ice layer location within the snowpack, thickness, strength, timing, duration, and areal extent, across space and time. To guide model development, researchers will collect field observations of ROS-induced snowpack changes in Alaska, Canada, Greenland, Svalbard, and Finland, and collate historical records of ROS observations across the Arctic. The scope of this project will include Arctic land areas and snow environments inhabited by two wildlife species that are currently exposed to and directly impacted by ROS events: caribou / reindeer (Rangifer tarandus) and muskoxen (Ovibos moschatus). To ensure the benefits of IceLayer are as useful as possible for different audiences, this project will include an outreach event for youth in rural western Alaska, a snow and ice field measurement workshop for collaborators, a scientific workshop on using the IceLayer model, and a hybrid meeting to provide IceLayer to interest groups, citizens, and professionals concerned with the societal impacts of ROS events.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

  • Program Officer
    Colleen Strawhackercolstraw@nsf.gov7032927432
  • Min Amd Letter Date
    8/25/2024 - 5 months ago
  • Max Amd Letter Date
    8/25/2024 - 5 months ago
  • ARRA Amount

Institutions

  • Name
    Colorado State University
  • City
    FORT COLLINS
  • State
    CO
  • Country
    United States
  • Address
    601 S HOWES ST
  • Postal Code
    805212807
  • Phone Number
    9704916355

Investigators

  • First Name
    Glen
  • Last Name
    Liston
  • Email Address
    glen.liston@colostate.edu
  • Start Date
    8/25/2024 12:00:00 AM
  • First Name
    Kelly
  • Last Name
    Elder
  • Email Address
    kevin.elder@usda.gov
  • Start Date
    8/25/2024 12:00:00 AM
  • First Name
    Adele
  • Last Name
    Reinking
  • Email Address
    adele.reinking@colostate.edu
  • Start Date
    8/25/2024 12:00:00 AM
  • First Name
    Stine
  • Last Name
    Pedersen
  • Email Address
    stine.pedersen@colostate.edu
  • Start Date
    8/25/2024 12:00:00 AM

Program Element

  • Text
    ARC Rsch Support & Logistics
  • Code
    520500
  • Text
    ARCSS-Arctic System Science
  • Code
    521900

Program Reference

  • Text
    ARCTIC RESEARCH
  • Code
    1079
  • Text
    ARCTIC SYSTEM SCIENCE PROGRAM
  • Code
    5219