Atmospheric drivers of snowfall and snow cover ablation variability within the Great Lakes Basin of North America
| Author(s) | Suriano, Zachary J. | |
| Date Accessioned | 2018-09-04T11:35:32Z | |
| Date Available | 2018-09-04T11:35:32Z | |
| Publication Date | 2018 | |
| SWORD Update | 2018-07-23T22:09:27Z | |
| Abstract | This dissertation examines the relationships between snow and synoptic-scale atmospheric circulation in the Great Lakes region of North America in a series of three journal articles. The first assesses the variability and long-term trends of lake-effect snowfall along the eastern shores of Lakes Erie and Ontario, and determines the particular synoptic-scale weather types that drive the variability in snowfall. These weather type frequencies explain over 68% of inter-annual lake-effect snowfall variability, and between 89-95% of the observed linear changes in snowfall can be explained by long-term changes in the frequency and snowfall rates of these synoptic patterns. ☐ The second article builds a climatology of snow ablation events within the Great Lakes basin by isolating ablation from a daily gridded snow depth product. Ablation events are latitudinally-dependent, with peak probability of an event shifting northwards during the spring months in conjunction with enhanced incoming solar radiation, surface air temperatures, and atmospheric moisture. No long-term changes in the seasonal timing of ablation events are detected within the basin, however two spatially coherent regions corresponding to the northern Lake Superior and the eastern Lake Huron/Georgian Bay drainage basins did experience significant decreases and increases in inter-annual ablation event frequency from 1960-2009, respectively. Such changes are hypothesized to be driven by changes in the frequency of particular mid-latitude cyclones influencing the region and long-term trends in lake-effect snowfall. ☐ The third article employs a synoptic-classification procedure that identifies and analyzes the atmospheric conditions that lead to snow ablation events across the Great Lakes basin. Three primary categories of synoptic weather types lead to ablation, corresponding to ‘southerly flow’, ‘rain-on-snow’, and ‘high-pressure overhead’ patterns. Each pattern influences the meteorological conditions forcing ablation at the surface, and exhibits substantial inter-annual variability. The second and third most common ablation-inducing synoptic weather type categorizes, ‘high-pressure overhead’ and ‘rain-on-snow’, are respectively increasing and decreasing in inter-annual frequency from 1960-2009. Together, these three articles showcase the variable forcings of snow in the Great Lakes basin, and highlight the importance of understanding the links between atmospheric circulation and cryospheric water resources. | en_US |
| Advisor | Leathers, Daniel J. | |
| Degree | Ph.D. | |
| Department | University of Delaware, Department of Geography | |
| DOI | https://doi.org/10.58088/zjbt-sa23 | |
| Unique Identifier | 1050392600 | |
| URL | http://udspace.udel.edu/handle/19716/23744 | |
| Language | en | |
| Publisher | University of Delaware | en_US |
| URI | https://search.proquest.com/docview/2088133056?accountid=10457 | |
| Keywords | Earth sciences | en_US |
| Keywords | Climate change | en_US |
| Keywords | Lake-effect | en_US |
| Keywords | North America | en_US |
| Keywords | Snow | en_US |
| Keywords | Synoptic | en_US |
| Title | Atmospheric drivers of snowfall and snow cover ablation variability within the Great Lakes Basin of North America | en_US |
| Type | Thesis | en_US |