Historical Spatiotemporal Trends in Snowfall Extremes over the Canadian Domain of the Great Lakes Basin

Baijnath-Rodino, Janine A.; Duguay, Claude R.

doi:10.1155/2018/5404123

Cited by 8 publications

(4 citation statements)

References 60 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The integration of urbanization, climate change, and storm surges are causing damages to cities [91]. The wind could either cause damages directly [92,93] or induce secondary disasters such as snowfalls, extreme precipitations, and landslides [94][95][96]. Development of residential areas and migration to risky zones have increased exposure to tropical cyclones [97,98].…”

Section: Plos Onementioning

confidence: 99%

Wind disasters adaptation in cities in a changing climate: A systematic review

et al. 2021

PLoS ONE

View full text Add to dashboard Cite

Wind-related disasters will bring more devastating consequences to cities in the future with a changing climate, but relevant studies have so far provided insufficient information to guide adaptation actions. This study aims to provide an in-depth elaboration of the contents discussed in open access literature regarding wind disaster adaptation in cities. We used the Latent Dirichlet Allocation (LDA) to refine topics and main contents based on 232 publications (1900 to 2019) extracted from Web of Science and Scopus. We conducted a full-text analysis to filter out focal cities along with their adaptation measures. The results show that wind disaster adaptation research in cities has formed a systematic framework in four aspects: 1) vulnerability and resilience of cities, 2) damage evaluation, 3) response and recovery, and 4) health impacts of wind disaster. Climate change is the background for many articles discussing vulnerability and adaptation in coastal areas. It is also embedded in damage evaluation since it has the potential to exacerbate disaster consequences. The literature is strongly inclined towards more developed cities such as New York City and New Orleans, among which New York City associated with Hurricane Sandy ranks first (38/232). Studies on New York City cover all the aspects, including the health impacts of wind disasters which are significantly less studied now. Distinct differences do exist in the number of measures regarding the adaptation categories and their subcategories. We also find that hard adaptation measures (i.e., structural and physical measures) are far more popular than soft adaptation measures (i.e., social and institutional measures). Our findings suggest that policymakers should pay more attention to cities that have experienced major wind disasters other than New York. They should embrace the up-to-date climate change study to defend short-term disasters and take precautions against long-term changes. They should also develop hard-soft hybrid adaptation measures, with special attention on the soft side, and enhance the health impact study of wind-related disasters.

show abstract

Section: Plos Onementioning

confidence: 99%

Wind disasters adaptation in cities in a changing climate: A systematic review

et al. 2021

PLoS ONE

View full text Add to dashboard Cite

show abstract

“…Ice cover plays an important role in lake-atmosphere interactions at high latitudes. The presence (or absence) and extent/concentration of ice cover on large lakes has a significant impact on regional weather and climate (e.g., lake-effect snowfall, thermal moderation effect) [64][65][66][67][68]. Ice cover (extent) and ice thickness have recently been identified as Essential Climate Variables by the Global Climate Observing System (GCOS) of the World Meteorological Organization [69].…”

Section: Lake Ice Covermentioning

confidence: 99%

Remote Sensing of Environmental Changes in Cold Regions: Methods, Achievements and Challenges

Watts

Jiang

et al. 2019

Remote Sensing

View full text Add to dashboard Cite

Cold regions, including high-latitude and high-altitude landscapes, are experiencing profound environmental changes driven by global warming. With the advance of earth observation technology, remote sensing has become increasingly important for detecting, monitoring, and understanding environmental changes over vast and remote regions. This paper provides an overview of recent achievements, challenges, and opportunities for land remote sensing of cold regions by (a) summarizing the physical principles and methods in remote sensing of selected key variables related to ice, snow, permafrost, water bodies, and vegetation; (b) highlighting recent environmental nonstationarity occurring in the Arctic, Tibetan Plateau, and Antarctica as detected from satellite observations; (c) discussing the limits of available remote sensing data and approaches for regional monitoring; and (d) exploring new opportunities from next-generation satellite missions and emerging methods for accurate, timely, and multi-scale mapping of cold regions.

show abstract

“…In addition to the above teleconnection indices, local and regional environmental variables could also affect the intensity and distribution of snowfall. It has been suggested that winter maximum and minimum temperatures could influence snowfall trends over the Canadian Domain of the Great Lakes Basin (Baijnath-Rodino and Duguay, 2018). Suriano (2019) found that both lake-effect synoptic type circulation patterns and surface air temperatures contribute to the change in snowfall in the Great Lakes region.…”

Section: Introductionmentioning

confidence: 99%

Inter-annual Variability of Snowfall in the Lower Peninsula of Michigan

et al. 2021

View full text Add to dashboard Cite

Winter snowfall, particularly lake-contributed snowfall, has a significant impact on the society and environment in the Great Lakes regions including transportation, tourism, agriculture, and ecosystem. Understanding the inter-annual variability of snowfall will provide sound basis for local community safety management and reduce its environmental impacts on agriculture and ecosystems. This study attempts to understand the trend and inter-annual variability in snowfall in the Lower Peninsula of Michigan (LPM) using statistical analysis based on snowfall measurements from eight weather stations. Our study demonstrates that snowfall has significantly increased from 1932 to 2015. Correlation analysis suggests that regional average air temperatures have a strong negative relationship with snowfall in the LPM. On average, approximately 27% of inter-annual variability in snowfall can be explained by regional average air temperatures. ENSO events are also negatively related to snowfall in the LPM and can explain ~8% of inter-annual variability. The North Atlantic Oscillation (NAO) does not have strong influence on snowfall. Composite analysis demonstrates that on an annual basis, more snowfall occurs during the years with higher maximum ice cover (MIC) than during the years with lower MIC in Lake Michigan. Higher MIC is often associated with lower air temperatures which are negatively related to snowfall. This study could provide insight on future snow related climate model improvement and weather forecasting.

show abstract

Historical Spatiotemporal Trends in Snowfall Extremes over the Canadian Domain of the Great Lakes Basin

Cited by 8 publications

References 60 publications

Wind disasters adaptation in cities in a changing climate: A systematic review

Wind disasters adaptation in cities in a changing climate: A systematic review

Remote Sensing of Environmental Changes in Cold Regions: Methods, Achievements and Challenges

Inter-annual Variability of Snowfall in the Lower Peninsula of Michigan

Contact Info

Product

Resources

About