Abstract
Wet snow and the icing events that frequently follow wintertime rain-on-snow (ROS) affect high latitude ecosystems at multiple spatial and temporal scales, including hydrology, carbon cycle, wildlife, and human development. However, the distribution of ROS events and their response to climatic changes are uncertain. In this study, we quantified ROS spatiotemporal variability across Alaska during the cold season (November to March) and clarified the influence of precipitation and temperature variations on these patterns. A satellite-based daily ROS geospatial classification was derived for the region by combining remote sensing information from overlapping MODIS and AMSR sensor records. The ROS record extended over the recent satellite record (water years 2003-2011 and 2013-2016) and was derived at a daily time step and 6 km grid, benefiting from finer (500 m) resolution MODIS snow cover observations and coarser (12.5 km) AMSR microwave brightness temperature-based freeze-thaw retrievals. The classification showed favorable ROS detection accuracy (75%-100%) against in situ climate observations across Alaska. Pixel-wise correlation analysis was used to clarify relationships between the ROS patterns and underlying physiography and climatic influences. Our findings indicate that cold season ROS events are most common during autumn and spring months along the maritime Bering Sea coast and boreal interior regions, but are infrequent on the colder arctic North Slope. The frequency and extent of ROS events coincided with warm temperature anomalies (p < 0.1), but showed a generally weaker relationship with precipitation. The weaker precipitation relationship was attributed to several factors, including large uncertainty in cold season precipitation measurements, and the important contribution of humidity and turbulent energy transfer in driving snowmelt and icing events independent of rainfall. Our results suggest that as high latitude temperatures increase, wet snow and ROS events will also increase in frequency and extent, particularly in the southwestern and interior regions of Alaska.
| Original language | English |
|---|---|
| Article number | 075004 |
| Journal | Environmental Research Letters |
| Volume | 13 |
| Issue number | 7 |
| DOIs | |
| State | Published - Jul 6 2018 |
Funding
We thank Rick Thoman and the Fairbanks NWS staff for their contributions of validation data, and the Alaska Climate Research Center for their temperature departure contributions. We also thank Nathaniel Robinson for helpful comments on an earlier version of this manuscript along with three anonymous reviewers for their constructive comments that greatly improved this paper. This research was funded by the National Park Service Southwest Alaska Network and the NASA Arctic Boreal Vulnerability Experiment (ABoVE) (NNX15AT74A). The ROS record are publicly archived at the Oak Ridge National Laboratory (ORNL) through the Distributed Active Archive System (DAAC) and through the following link http://files.ntsg.umt.edu/data/AMSR_ROS/.
| Funders | Funder number |
|---|---|
| National Aeronautics and Space Administration | NNX15AT74A |
| Oak Ridge National Laboratory |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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SDG 7 Affordable and Clean Energy
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SDG 13 Climate Action
Keywords
- AMSR
- Alaska
- Arctic boreal vulnerability experiment (ABoVE)
- Climate change
- Rain-on-snow
- Remote sensing
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