Urban heat island amplification estimates on global warming using an albedo model
Abstract In this paper, we provide nominal and worst-case estimates of radiative forcing due to the UHI effect using a Weighted Amplification Albedo Solar Urbanization model. This calculation is done with the help of reported findings from UHI footprint and heat dome studies that simplify estimates...
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Springer Science and Business Media LLC
2020
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crspringernat:10.1007/s42452-020-03889-3 2023-05-15T13:11:08+02:00 Urban heat island amplification estimates on global warming using an albedo model Feinberg, Alec 2020 http://dx.doi.org/10.1007/s42452-020-03889-3 http://link.springer.com/content/pdf/10.1007/s42452-020-03889-3.pdf http://link.springer.com/article/10.1007/s42452-020-03889-3/fulltext.html en eng Springer Science and Business Media LLC https://creativecommons.org/licenses/by/4.0 https://creativecommons.org/licenses/by/4.0 CC-BY SN Applied Sciences volume 2, issue 12 ISSN 2523-3963 2523-3971 General Earth and Planetary Sciences General Physics and Astronomy General Engineering General Environmental Science General Materials Science General Chemical Engineering journal-article 2020 crspringernat https://doi.org/10.1007/s42452-020-03889-3 2022-01-04T15:27:25Z Abstract In this paper, we provide nominal and worst-case estimates of radiative forcing due to the UHI effect using a Weighted Amplification Albedo Solar Urbanization model. This calculation is done with the help of reported findings from UHI footprint and heat dome studies that simplify estimates for UHI amplification factors. Using this method, we quantify a global warming range due to the UHI effect, including its extent. Forcing estimates varied approximately between 0.07 and 0.87 W/m 2 representing 3% to 36% of global warming relative to the greenhouse gas forcing estimates between 1950 and 2019. Variations in our model are due to the urbanized area and associated UHI amplification estimate uncertainties. However, the model showed consistent values of about 0.16 W/m 2 /% solar effective amplified areas and 1.6 W/m 2 /%Δalbedo for the urbanized coverage forcing values. The basic model is additionally used to quantify feedback warming due to Arctic sea ice loss. Feedback estimates contribute to the impact of UHI forcing assessments. From our median estimates, it is concluded that UHIs contribute significantly to global warming trends. The model is versatile and also provides UHI albedo reverse forcing assessments. The results provide insight into the UHI area effects from a new perspective using a global view albedo model compared to prior ground-based measurement studies. It also illustrates the utility of using effective UHI amplification estimates when assessing their warming effect on a global scale. Article in Journal/Newspaper albedo Arctic Global warming Sea ice Springer Nature (via Crossref) Arctic SN Applied Sciences 2 12 |
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Open Polar |
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Springer Nature (via Crossref) |
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English |
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General Earth and Planetary Sciences General Physics and Astronomy General Engineering General Environmental Science General Materials Science General Chemical Engineering |
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General Earth and Planetary Sciences General Physics and Astronomy General Engineering General Environmental Science General Materials Science General Chemical Engineering Feinberg, Alec Urban heat island amplification estimates on global warming using an albedo model |
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General Earth and Planetary Sciences General Physics and Astronomy General Engineering General Environmental Science General Materials Science General Chemical Engineering |
description |
Abstract In this paper, we provide nominal and worst-case estimates of radiative forcing due to the UHI effect using a Weighted Amplification Albedo Solar Urbanization model. This calculation is done with the help of reported findings from UHI footprint and heat dome studies that simplify estimates for UHI amplification factors. Using this method, we quantify a global warming range due to the UHI effect, including its extent. Forcing estimates varied approximately between 0.07 and 0.87 W/m 2 representing 3% to 36% of global warming relative to the greenhouse gas forcing estimates between 1950 and 2019. Variations in our model are due to the urbanized area and associated UHI amplification estimate uncertainties. However, the model showed consistent values of about 0.16 W/m 2 /% solar effective amplified areas and 1.6 W/m 2 /%Δalbedo for the urbanized coverage forcing values. The basic model is additionally used to quantify feedback warming due to Arctic sea ice loss. Feedback estimates contribute to the impact of UHI forcing assessments. From our median estimates, it is concluded that UHIs contribute significantly to global warming trends. The model is versatile and also provides UHI albedo reverse forcing assessments. The results provide insight into the UHI area effects from a new perspective using a global view albedo model compared to prior ground-based measurement studies. It also illustrates the utility of using effective UHI amplification estimates when assessing their warming effect on a global scale. |
format |
Article in Journal/Newspaper |
author |
Feinberg, Alec |
author_facet |
Feinberg, Alec |
author_sort |
Feinberg, Alec |
title |
Urban heat island amplification estimates on global warming using an albedo model |
title_short |
Urban heat island amplification estimates on global warming using an albedo model |
title_full |
Urban heat island amplification estimates on global warming using an albedo model |
title_fullStr |
Urban heat island amplification estimates on global warming using an albedo model |
title_full_unstemmed |
Urban heat island amplification estimates on global warming using an albedo model |
title_sort |
urban heat island amplification estimates on global warming using an albedo model |
publisher |
Springer Science and Business Media LLC |
publishDate |
2020 |
url |
http://dx.doi.org/10.1007/s42452-020-03889-3 http://link.springer.com/content/pdf/10.1007/s42452-020-03889-3.pdf http://link.springer.com/article/10.1007/s42452-020-03889-3/fulltext.html |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
albedo Arctic Global warming Sea ice |
genre_facet |
albedo Arctic Global warming Sea ice |
op_source |
SN Applied Sciences volume 2, issue 12 ISSN 2523-3963 2523-3971 |
op_rights |
https://creativecommons.org/licenses/by/4.0 https://creativecommons.org/licenses/by/4.0 |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.1007/s42452-020-03889-3 |
container_title |
SN Applied Sciences |
container_volume |
2 |
container_issue |
12 |
_version_ |
1766246076847751168 |