Rain on Snow

Data set id: NSIDC-0767 / DOI: 10.7265/f5bv-1z09

This data set contains surface and upper air data from global atmospheric reanalysis, and passive microwave brightness temperatures for rain on snow events in the Arctic region between 1979 and the present. Data are subsetted temporally to the time period of each event and spatially to the region experiencing the event. The time ranges and spatial extents of these subsets have been chosen to show the development of each event at the synoptic scale.

Serreze, Mark C., Julia Gustafson, Andrew P. Barrett, Matthew L. Druckenmiller, Shari Fox, Jessica Voveris, Julienne Stroeve et al. "Arctic rain on snow events: bridging observations to understand environmental and livelihood impacts." Environmental research letters 16, no. 10 (2021): 105009. https://doi.org/10.1088/1748-9326/ac269b

Abstract When rain falls on an existing cover of snow, followed by low temperatures, or falls as freezing rain, it can leave a hard crust. These Arctic rain on snow (ROS) events can profoundly influence the environment and in turn, human livelihoods. Impacts can be immediate (e.g. on human travel, herding, or harvesting) or evolve or accumulate, leading to massive starvation-induced die-offs of reindeer, caribou, and musk oxen, for example. We provide here a review and synthesis of Arctic ROS events and their impacts, addressing human-environment relationships, meteorological conditions associated with ROS events, and challenges in their detection. From our assessment of the state of the science, we conclude that while (a) systematic detection of ROS events, their intensity, and trends across the Arctic region can be approached by combining data from satellite remote sensing, atmospheric reanalyses, and meteorological station records; (b) obtaining knowledge and information most germane to impacts, such as the thickness of ice layers, how ice layers form within a snowpack, and antecedent conditions that can amplify impacts, necessitates collaboration and knowledge co-production with community members and indigenous knowledge-holders.

Serreze, Mark C., Jessica Voveris, Andrew P. Barrett, Shari Fox, Peter D. Blanken, and Alex Crawford. "Characteristics of Extreme Daily Precipitation Events over the Canadian Arctic." International Journal of Climatology (2022). https://doi.org/10.1002/joc.7907

Abstract Given growing interest in extreme high-latitude weather events, we use records from nine meteorological stations and atmospheric reanalysis data to examine extreme daily precipitation events (leading, 99th and 95th percentile) over Arctic Canada. Leading events span 90 mm at Cape Dyer, along the southeast coast of Baffin Island, to 26 mm at Sachs Harbour, on the southwest coast of Banks Island. The 95th percentiles range from 20 to 30% of leading event sizes. Extreme events are most common on or near the month of climatological peak precipitation. Contrasting with Eurasian continental sites having a July precipitation peak corresponding to the seasonal peak in precipitable water, seasonal cycles in precipitation and the frequency of extremes over Arctic Canada are more varied, reflecting marine influences. At Cape Dyer and Clyde River, mean precipitation and the frequency of extremes peak in October when the atmosphere is quickly cooling, promoting strong evaporation from Baffin Bay. At all stations, leading events involved snowfall and strong winds and were associated with cyclone passages (mostly of relatively strong storms). They also involved strong vapour fluxes, sometimes associated with atmospheric rivers or their remnants. The most unusual sequence of events identified here occurred at Clyde River, where the three largest recorded precipitation events occurred in April of 1977. Obtaining first-hand accounts of this series of events has proven elusive. Identified links between extreme events and atmospheric rivers demonstrates the need to better understand how the characteristics of such features will change in the future.

Voveris, J.J., 2022. Meteorological Drivers of Arctic Rain-On-Snow Events and How Climate Change May Influence Associated Risks (Doctoral dissertation, University of Colorado at Boulder).

Much of what is known and recognized about the Arctic climate and weather patterns is dynamically changing due to anthropogenic warming, which may lead to both altered occurrences and strengthening of extreme events. Rain-on-snow or ROS events continue to produce extreme event criteria and impacts, especially when they occur over Arctic regions. These events generate hazards ranging from flooding to icing concerns for the transportation sector. Ecologists have studied how ROS events affect hooved animal species’ ability to forage for their natural food sources – animals that are heavily relied upon by Indigenous Peoples. Ice growth resulting from ROS blocks access to food sources, leading to massive starvation events.

McCrystall, M.R., Stroeve, J., Serreze, M. et al. New climate models reveal faster and larger increases in Arctic precipitation than previously projected. Nature Communications 12, 6765 (2021). https://doi.org/10.1038/s41467-021-27031-y

As the Arctic continues to warm faster than the rest of the planet, evidence mounts that the region is experiencing unprecedented environmental change. The hydrological cycle is pro- jected to intensify throughout the twenty-first century, with increased evaporation from expanding open water areas and more precipitation. The latest projections from the sixth phase of the Coupled Model Intercomparison Project (CMIP6) point to more rapid Arctic warming and sea-ice loss by the year 2100 than in previous projections, and consequently, larger and faster changes in the hydrological cycle. Arctic precipitation (rainfall) increases more rapidly in CMIP6 than in CMIP5 due to greater global warming and poleward moisture transport, greater Arctic amplification and sea-ice loss and increased sensitivity of pre- cipitation to Arctic warming. The transition from a snow- to rain-dominated Arctic in the summer and autumn is projected to occur decades earlier and at a lower level of global warming, potentially under 1.5 °C, with profound climatic, ecosystem and socio-economic impacts.

Stroeve, Julienne, Vishnu Nandan, Rosemary Willatt, Ruzica Dadic, Philip Rostosky, Michael Gallagher, Robbie Mallett et al. Rain on snow (ROS) understudied in sea ice remote sensing: a multi-sensor analysis of ROS during MOSAiC (Multidisciplinary drifting Observatory for the Study of Arctic Climate). The Cryosphere 16, no. 10 (2022): 4223-4250. https://doi.org/10.5194/tc-16-4223-2022

Abstract Arctic rain on snow (ROS) deposits liquid water onto existing snowpacks. Upon refreezing, this can form icy crusts at the surface or within the snowpack. By altering radar backscatter and microwave emissivity, ROS over sea ice can influence the accuracy of sea ice variables retrieved from satellite radar altimetry, scatterometers, and passive microwave radiometers. During the Arctic Ocean MOSAiC (Multidisciplinary drifting Observatory for the Study of Arctic Climate) expedition, there was an unprecedented opportunity to observe a ROS event using in situ active and passive microwave instruments similar to those deployed on satellite platforms. During liquid water accumulation in the snowpack from rain and increased melt, there was a 4-fold decrease in radar energy returned at Ku- and Ka-bands. After the snowpack refroze and ice layers formed, this decrease was followed by a 6-fold increase in returned energy. Besides altering the radar backscatter, analysis of the returned waveforms shows the waveform shape changed in response to rain and refreezing. Microwave emissivity at 19 and 89 GHz increased with increasing liquid water content and decreased as the snowpack refroze, yet subsequent ice layers altered the polarization difference. Corresponding analysis of the CryoSat-2 waveform shape and backscatter as well as AMSR2 brightness temperatures further shows that the rain and refreeze were significant enough to impact satellite returns. Our analysis provides the first detailed in situ analysis of the impacts of ROS and subsequent refreezing on both active and passive microwave observations, providing important baseline knowledge for detecting ROS over sea ice and assessing their impacts on satellite-derived sea ice variables.

Laptander, R. (2023). The Yamal Nenets’ traditional and contemporary environmental knowledge of snow, ice, and permafrost. Ecology and Society, 28(3). https://doi.org/10.5751/ES-14353-280306

Traditional knowledge about snow and ice conditions on and in the ground is essential in the life of the Yamal Nenets. This holistic knowledge helps the Nenets to travel in the tundra, find good pastures for their domesticated reindeer herds, select proper places for making their camps, find firewood, and locate clean snow or ice for drinking water. It is particularly important for reindeer herders, because looking at different characteristics of snow (layers, hardness, and granularity) enables them to find good pastures for their animals. If there are dangers posed by a crust of ice on the snow, herders have to move their herds to other pastures. Moreover, even reindeer know which kind of snow is easier for them to break with their hooves and where good forage is found. Significantly, the Nenets language has developed a sophisticated terminology describing different types of snow and ice, and similarly permafrost has a special name. Like many other Indigenous peoples of Siberia, the Nenets have noticed that climate change in the Arctic is dramatically affecting their life: it is changing the tundra landscape, the seasons, and the conditions under which they live and herd reindeer. In consequence, the reindeer-herding culture itself helps the people to preserve this knowledge of how to live in the tundra, but to remain relevant, the Nenets’ knowledge of tundra ecology and their words for snow, ice, and permafrost must continuously adapt to new realities of the tundra. However, if that culture disappears in the Yamal, this resource will also be difficult to save.