Simulating future climate change impacts on snow- and ice-related driving hazards in Arctic-boreal regions
Bibliographic Data
| ID | 15547504 |
|---|---|
| Authors | Heather E Greaves (0000-0002-8800-019X, University of Alaska Fairbanks, corresponding author), Natalie T Boelman (0000-0003-3716-2372, Lamont-Doherty Earth Observatory), Todd Brinkman (0000-0001-5375-4840, University of Alaska Fairbanks), Glen E Liston (0000-0001-5743-035X, Cooperative Institute for Research in Environmental Sciences), Laura R Prugh (0000-0001-9045-3107, University of Washington), Adele K Reinking (0000-0002-9082-4315, Cooperative Institute for Research in Environmental Sciences) |
| Year | 2023 |
| Volume | 18 |
| Issue | 2 |
| Pages | 025006-025006 |
| Publication date | 2023-01-24 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Environmental Research Letters (JOURNAL) |
| Journal identifiers | ISSN: 1748-9326 • E-ISSN: 1748-9326 |
| Publisher | IOP Publishing (PUBLISHER • GB) |
| DOI | 10.1088/1748-9326/acb5b1 |
| OpenAlex | W4317860857 |
| Language | EN |
| References cited | 30 |
As Arctic and boreal regions rapidly warm, the frequency and seasonal timing of hazardous driving conditions on all-season Arctic-boreal roads are likely to change. Because these roads link remote Arctic areas to the rest of the North American road system, climate change may substantially affect safety and quality of life for northern residents and commercial enterprises. To gain insight into future hazardous driving conditions, we built Random Forest models that predict the occurrence of hazardous driving conditions by linking snow, ice, and weather simulated by a spatially explicit modeling system (SnowModel) to archived road condition reports from two highly trafficked all-season northern roads: the Dalton Highway (Alaska, USA) and Dempster Highway (Yukon, Canada). We applied these models to downscaled future climate trajectories for the study period of 2006–2100. We estimated future trends in the frequency and timing of icy, wet-icy, and snowy road surfaces, blowing and drifting snow, and high winds. We found that as the climate warms, and the portion of the year when snow and ice occur becomes shorter, overall frequency of snow storms and ice- and snow-related driving hazards decreased. For example, the mean number of days per year when roads are covered in snow or ice decreased by 51 d (−21%) on the Dalton Highway between the 2006–2020 and 2081–2100 time periods. However, the intensity of storms was predicted to increase, resulting in higher mean annual storm wind speeds (Dalton +0.56 m s −1 [+17%]) and snowfall totals (Dalton +0.3 cm [+36%]). Our models also predicted increasing frequency of wet-icy driving conditions during November, December, January, and February, when daylength is short and hazardous conditions may be more difficult to perceive. Our findings may help road managers and drivers adapt their expectations and behaviors to minimize accident risk on Arctic-boreal roads in the future
Arctic · Boreal · Climate change · Climatology · Geography · Meteorology · Physical geography · Snow · Storm · Taiga · Winter storm · Climate change and permafrost · Cryospheric studies and observations · Environmental Science · Smart Materials for Construction · Geology · Oceanography
Evidence and Implications of Recent Climate Change in Northern Alaska and Other Arctic Regions
The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation
The Modern-Era Retrospective Analysis for Research and Applications, Version 2 (Merra-2)
Random Forests
Changing River Ice Seasonality and Impacts on Interior Alaskan Communities
Indigenous Observations of Climate Change in the Lower Yukon River Basin, Alaska
Indigenous Knowledge of Hydrologic Change in the Yukon River Basin
Changing Arctic snow cover
Effects of Changes in Arctic Lake and River Ice
Assessing vulnerability of subsistence travel to effects of environmental change in Interior Alaska
| Citation velocity | historical |
|---|---|
| Highly cited | No |