Urban Surface Temperature Reduction via the Urban Aerosol Direct Effect: A Remote Sensing and WRF Model Sensitivity Study
The aerosol direct effect, namely, scattering and absorption of sunlight in the atmosphere, can lower surface temperature by reducing surface insolation. By combining National Aeronautics and Space Administration (NASA) AERONET (AErosol RObotic NETwork) observations in large cities with Weather Rese...
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Online Access: | https://doi.org/10.1155/2010/681587 |
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fthindawi:oai:hindawi.com:10.1155/2010/681587 2023-05-15T13:06:01+02:00 Urban Surface Temperature Reduction via the Urban Aerosol Direct Effect: A Remote Sensing and WRF Model Sensitivity Study Menglin Jin J. Marshall Shepherd Weizhong Zheng 2010 https://doi.org/10.1155/2010/681587 en eng Advances in Meteorology https://doi.org/10.1155/2010/681587 Copyright © 2010 Menglin Jin et al. Research Article 2010 fthindawi https://doi.org/10.1155/2010/681587 2019-05-26T00:13:41Z The aerosol direct effect, namely, scattering and absorption of sunlight in the atmosphere, can lower surface temperature by reducing surface insolation. By combining National Aeronautics and Space Administration (NASA) AERONET (AErosol RObotic NETwork) observations in large cities with Weather Research and Forecasting (WRF) model simulations, we find that the aerosol direct reduction of surface insolation ranges from 40–100Wm−2, depending on aerosol loading and land-atmosphere conditions. To elucidate the maximum possible effect, values are calculated using a radiative transfer model based on the top quartile of the multiyear instantaneous aerosol data observed by AERONET sites. As a result, surface skin temperature can be reduced by 1°C-2°C while 2-m surface air temperature reductions are generally on the order of 0.5°C–1°C. Article in Journal/Newspaper Aerosol Robotic Network Hindawi Publishing Corporation Advances in Meteorology 2010 1 14 |
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Open Polar |
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Hindawi Publishing Corporation |
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fthindawi |
language |
English |
description |
The aerosol direct effect, namely, scattering and absorption of sunlight in the atmosphere, can lower surface temperature by reducing surface insolation. By combining National Aeronautics and Space Administration (NASA) AERONET (AErosol RObotic NETwork) observations in large cities with Weather Research and Forecasting (WRF) model simulations, we find that the aerosol direct reduction of surface insolation ranges from 40–100Wm−2, depending on aerosol loading and land-atmosphere conditions. To elucidate the maximum possible effect, values are calculated using a radiative transfer model based on the top quartile of the multiyear instantaneous aerosol data observed by AERONET sites. As a result, surface skin temperature can be reduced by 1°C-2°C while 2-m surface air temperature reductions are generally on the order of 0.5°C–1°C. |
format |
Article in Journal/Newspaper |
author |
Menglin Jin J. Marshall Shepherd Weizhong Zheng |
spellingShingle |
Menglin Jin J. Marshall Shepherd Weizhong Zheng Urban Surface Temperature Reduction via the Urban Aerosol Direct Effect: A Remote Sensing and WRF Model Sensitivity Study |
author_facet |
Menglin Jin J. Marshall Shepherd Weizhong Zheng |
author_sort |
Menglin Jin |
title |
Urban Surface Temperature Reduction via the Urban Aerosol Direct Effect: A Remote Sensing and WRF Model Sensitivity Study |
title_short |
Urban Surface Temperature Reduction via the Urban Aerosol Direct Effect: A Remote Sensing and WRF Model Sensitivity Study |
title_full |
Urban Surface Temperature Reduction via the Urban Aerosol Direct Effect: A Remote Sensing and WRF Model Sensitivity Study |
title_fullStr |
Urban Surface Temperature Reduction via the Urban Aerosol Direct Effect: A Remote Sensing and WRF Model Sensitivity Study |
title_full_unstemmed |
Urban Surface Temperature Reduction via the Urban Aerosol Direct Effect: A Remote Sensing and WRF Model Sensitivity Study |
title_sort |
urban surface temperature reduction via the urban aerosol direct effect: a remote sensing and wrf model sensitivity study |
publisher |
Advances in Meteorology |
publishDate |
2010 |
url |
https://doi.org/10.1155/2010/681587 |
genre |
Aerosol Robotic Network |
genre_facet |
Aerosol Robotic Network |
op_relation |
https://doi.org/10.1155/2010/681587 |
op_rights |
Copyright © 2010 Menglin Jin et al. |
op_doi |
https://doi.org/10.1155/2010/681587 |
container_title |
Advances in Meteorology |
container_volume |
2010 |
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1 |
op_container_end_page |
14 |
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1766400509567041536 |