2022
DOI: 10.1029/2021jd036231
|View full text |Cite
|
Sign up to set email alerts
|

Impacts of Lake Surface Temperature on the Summer Climate Over the Great Lakes Region

Abstract: The total surface area of the Great Lakes is over 94,250 miles 2 . Consisting of five large lakes, they contain over one fifth of the world's total surface fresh water, with depths of up to 400 m (EPA, 2020). The Great Lakes substantially influence the regional weather and climate via their effects on the atmospheric energy and water budget; open water typically has greater thermal conductance, lower albedo, and lower roughness compared to soil or vegetated surfaces (Notaro et al.,2013;Scott & Huff, 1996). The… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

1
37
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
3
3
1

Relationship

3
4

Authors

Journals

citations
Cited by 24 publications
(60 citation statements)
references
References 52 publications
1
37
0
Order By: Relevance
“…Moreover, street-level urban vegetation is not explicitly represented, which can modulate wind speed, air temperature, and relative humidity 44 . Similarly, there are simpli cations in lake representation in WRF that can impact summertime temperatures, particularly along the land-water interface 27 , where we found the uncertainty due to model internal variability to be largest. On the evaluation side, WRF-simulated skin temperature is integrated over an idealized 3D urban canyon, while satellites provide a 2D directional view of a 3D heterogeneous urban landscape 64 .…”
Section: Model Evaluation and Uncertaintiesmentioning
confidence: 75%
See 2 more Smart Citations
“…Moreover, street-level urban vegetation is not explicitly represented, which can modulate wind speed, air temperature, and relative humidity 44 . Similarly, there are simpli cations in lake representation in WRF that can impact summertime temperatures, particularly along the land-water interface 27 , where we found the uncertainty due to model internal variability to be largest. On the evaluation side, WRF-simulated skin temperature is integrated over an idealized 3D urban canyon, while satellites provide a 2D directional view of a 3D heterogeneous urban landscape 64 .…”
Section: Model Evaluation and Uncertaintiesmentioning
confidence: 75%
“…Overall, it is evident that Lake Michigan has a stronger impact on heat exposure and heat stress in the region during daytime, while urbanization has a stronger impact at night. For almost all variables, the standard errors across the ve ensemble simulations are greatest closest to the shore (Figs 3 and S4), demonstrating the high sensitivity of the micro-climate at the land-water interface simulated by the model to initial conditions 27 .…”
Section: Lake-to-land Gradientsmentioning
confidence: 94%
See 1 more Smart Citation
“…Locally, by supplying heat and moisture, the Great Lakes facilitate the formation of lake‐effect snowstorms in winter and convective storms in summer (Notaro et al., 2015; Shi & Xue, 2019). Regionally, the lakes can modify atmospheric circulation and other mesoscale features, affecting precipitation and water cycle outside the GLR in nearby regions (Bryan et al., 2015; Notaro et al., 2013; Petterssen & Calabrese, 1959; Sousounis & Fritsch, 1994; Wang et al., 2022).…”
Section: Introductionmentioning
confidence: 99%
“…variable in regional studies, the impact and relationship of LST to weather, climate and lake processes have been explored by other studies including influences on weather (Kheyrollah Pour et al, 2014a,b;Eerola et al, 2014;Kheyrollah Pour et al, 2017), climate (Moigne et al, 2016;Wang et al, 2021), precipitation (Zhang et al, 2016), lake effect snow (Shi & Xie, 2019) and lake overturning (Fichot et al, 2019). Observations of lakes around the world have reported increases in lake temperature associated with global warming resulting in changes to the underlying lake system (O'Reilly et al, 2015;Woolway et al, 2019).…”
mentioning
confidence: 99%