Modeling the effects of lake-effect snow related weather conditions on daily traffic crashes: A time series count data approach

Ayon, Bandhan Dutta; Ofori-Amoah, Benjamin; Oh, Jun Seok; Baker, Kathleen M.

doi:10.1016/j.aap.2020.105510

Cited by 5 publications

(3 citation statements)

References 37 publications

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“…Winter maintenance of transport network and territories for industrial and social needs is of great practical importance, both from the security point of view, as has been demonstrated in papers [1,2] and from the economic point of view, as is proven in papers [3,4]. Efficient removal of snow cover from hard surfaces comprises several problems, which should include issues related to the operational efficiency of area clearing and how to do it, because there are hidden costs (sedimentation, subsequent spring clearing and disposal), according to paper [3].…”

Section: Introductionmentioning

confidence: 97%

Experimental investigations of snow bank formation during milling and rotary snow blower operation

Denis¹,

Mikhail²,

Mikhail³

et al. 2021

J Appl Eng Science

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The main purpose of this paper is to identify basic regularities of snow bank formation when using milling and rotary snow blowers. The study of the mechanism of snow bank formation was based on experimental investigations of the throwing machine rotor of the low-powered milling and rotary snow blower. Moistened sawdust was used as artificial snow. As the result of the conducted investigations, the nature of the snow bank formation has been determined and the regression equations for the distribution of the number of particles, total mass and average mass of individual particles of the material simulating one specific type of snow along the length of the snow bank have been obtained. The relative amount of the material transported by the rotor in relation to the total amount of material loaded into the rotor for the specified geometric and kinematic parameters of the rotor of the throwing machine has been found. The dependencies obtained make it possible to carry out simulation and visualization of snow bank formation during snow clearing operations, to choose the most rational parameters of the throwing machine of the milling and rotary snow blower, as well as to specify the strategy of snow clearing operations with the application of milling and rotary snow blowers.

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Section: Introductionmentioning

confidence: 97%

Experimental investigations of snow bank formation during milling and rotary snow blower operation

Denis¹,

Mikhail²,

Mikhail³

et al. 2021

J Appl Eng Science

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“…Among the various extreme weather events, lake‐effect snow (LES) storm—a meteorological phenomenon characterized by heavy convective precipitation downwind of lakes in the form of snow—is a unique and critical coastal hazard (Ayon et al., 2020; Dewey, 1977; Fujisaki‐Manome et al., 2022; Notaro et al., 2013). LES storms are formed when a frigid dry air mass traverses over a substantial stretch of comparatively warmer water, triggering the development of a convective internal boundary layer (Figure 1a).…”

Section: Introductionmentioning

confidence: 99%

How Could Future Climate Conditions Reshape a Devastating Lake‐Effect Snow Storm?

Kayastha,

Huang,

Wang

et al. 2024

Earth's Future

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Lake‐effect snow (LES) storms, characterized by heavy convective precipitation downwind of large lakes, pose significant coastal hazards with severe socioeconomic consequences in vulnerable areas. In this study, we investigate how devastating LES storms could evolve in the future by employing a storyline approach, using the LES storm that occurred over Buffalo, New York, in November 2022 as an example. Using a Pseudo‐Global Warming method with a fully three‐dimensional two‐way coupled lake‐land‐atmosphere modeling system at a cloud‐resolving 4 km resolution, we show a 14% increase in storm precipitation under the end‐century warming. This increase in precipitation is accompanied by a transition in the precipitation form from predominantly snowfall to nearly equal parts snowfall and rainfall. Through additional simulations with isolated atmospheric and lake warming, we discerned that the warmer lake contributes to increased storm precipitation through enhanced evaporation while the warmer atmosphere contributes to the increase in the storm's rainfall, at the expense of snowfall. More importantly, this shift from snowfall to rainfall was found to nearly double the area experiencing another winter hazard, Rain‐on‐Snow. Our study provides a plausible future storyline for the Buffalo LES storm, focusing on understanding the intricate interplay between atmospheric and lake warming in shaping the future dynamics of LES storms. It emphasizes the importance of accurately capturing the changing lake‐atmosphere dynamics during LES storms under future warming.

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“…In downstream populated areas, lake‐/sea‐effect snow impacts a wide range of socioeconomic activities. Intense snowfall in a short duration increases the risk of stalled traffic and accidents (Ayon, 2017; Juga et al, 2014), hinders safe navigation (Valdez Banda et al, 2014; Lake Carriers' Association, 2019) and aviation, causes damage to trees and roofs, and makes snow removal logistics challenging (Heimburger, 2018; Nakai et al, 2012). Precautionary planning for such extreme weather conditions should also be taken into account at shore‐located nuclear power plants (Jylhä et al, 2018; Nuclear Energy Institute, 2018; Olsson et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Forecasting lake‐/sea‐effect snowstorms, advancement, and challenges

et al. 2022

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Lake-/sea-effect snow forms typically from late fall to winter when a cold air mass moves over the warmer, large water surface. The resulting intense snowfall has many societal impacts on communities living in downwind areas; hence, accurate forecasts of lake-/sea-effect snow are essential for safety and preparedness. Forecasting lake-/sea-effect snow is extremely challenging, but over the past decades the advancement of numerical forecast models and the expansion of observational networks have incrementally improved the forecasting capability. The recent advancement includes numerical forecast models with high spatiotemporal resolutions that allow simulating vigorous snowstorms at the kilometer-scale and the frequent inclusion of radar observations in the model. This combination of more accurate weather prediction models as well as ground-based and remotely sensed observations has aided operational forecasters to make better lake-/sea-effect snow forecasts. A remaining challenge is that many observations of precipitation, surface meteorology, evaporation, and heat supply from the water surface are still limited to being landbased and the information over the water, particularly offshore, remains a gap.This primer overviews the basic mechanisms for lake-/sea-effect snow formation, evolution of forecast techniques, and challenges to be addressed in the future.This article is categorized under: • Science of Water > Water Extremes • Science of Water > Water and Environmental Change • Science of Water > Methods K E Y W O R D S extreme weather, lake-effect snow, numerical model, sea-effect snow, weather forecast

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Modeling the effects of lake-effect snow related weather conditions on daily traffic crashes: A time series count data approach

Cited by 5 publications

References 37 publications

Experimental investigations of snow bank formation during milling and rotary snow blower operation

Experimental investigations of snow bank formation during milling and rotary snow blower operation

How Could Future Climate Conditions Reshape a Devastating Lake‐Effect Snow Storm?

Forecasting lake‐/sea‐effect snowstorms, advancement, and challenges

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