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Quantifying the Anthropogenic Footprint in Eastern China

Urban heat island (UHI) is one of the most focuses in urban climate study. The parameterization of the anthropogenic heat (AH) is crucial important in UHI study, but universal method to parameterize the spatial pattern of the AH is lacking now. This paper uses the NOAA DMSP/OLS nighttime light data...

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Autores principales: Meng, Chunlei, Dou, Youjun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4828717/
https://www.ncbi.nlm.nih.gov/pubmed/27067132
http://dx.doi.org/10.1038/srep24337
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author Meng, Chunlei
Dou, Youjun
author_facet Meng, Chunlei
Dou, Youjun
author_sort Meng, Chunlei
collection PubMed
description Urban heat island (UHI) is one of the most focuses in urban climate study. The parameterization of the anthropogenic heat (AH) is crucial important in UHI study, but universal method to parameterize the spatial pattern of the AH is lacking now. This paper uses the NOAA DMSP/OLS nighttime light data to parameterize the spatial pattern of the AH. Two experiments were designed and performed to quantify the influences of the AH to land surface temperature (LST) in eastern China and 24 big cities. The annual mean heating caused by AH is up to 1 K in eastern China. This paper uses the relative LST differences rather than the absolute LST differences between the control run and contrast run of common land model (CoLM) to find the drivers. The heating effect of the anthropogenic footprint has less influence on relatively warm and wet cities.
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spelling pubmed-48287172016-04-19 Quantifying the Anthropogenic Footprint in Eastern China Meng, Chunlei Dou, Youjun Sci Rep Article Urban heat island (UHI) is one of the most focuses in urban climate study. The parameterization of the anthropogenic heat (AH) is crucial important in UHI study, but universal method to parameterize the spatial pattern of the AH is lacking now. This paper uses the NOAA DMSP/OLS nighttime light data to parameterize the spatial pattern of the AH. Two experiments were designed and performed to quantify the influences of the AH to land surface temperature (LST) in eastern China and 24 big cities. The annual mean heating caused by AH is up to 1 K in eastern China. This paper uses the relative LST differences rather than the absolute LST differences between the control run and contrast run of common land model (CoLM) to find the drivers. The heating effect of the anthropogenic footprint has less influence on relatively warm and wet cities. Nature Publishing Group 2016-04-12 /pmc/articles/PMC4828717/ /pubmed/27067132 http://dx.doi.org/10.1038/srep24337 Text en Copyright © 2016, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Meng, Chunlei
Dou, Youjun
Quantifying the Anthropogenic Footprint in Eastern China
title Quantifying the Anthropogenic Footprint in Eastern China
title_full Quantifying the Anthropogenic Footprint in Eastern China
title_fullStr Quantifying the Anthropogenic Footprint in Eastern China
title_full_unstemmed Quantifying the Anthropogenic Footprint in Eastern China
title_short Quantifying the Anthropogenic Footprint in Eastern China
title_sort quantifying the anthropogenic footprint in eastern china
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4828717/
https://www.ncbi.nlm.nih.gov/pubmed/27067132
http://dx.doi.org/10.1038/srep24337
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