Urban Surface Temperature Reduction via the Urban Aerosol Direct Effect : A Remote Sensing and WRF Model Sensitivity Study

Joint Authors

Jin, Menglin
Shepherd, J. Marshall
Zheng, Weizhong

Source

Advances in Meteorology

Issue

Vol. 2010, Issue 2010 (31 Dec. 2010), pp.1-14, 14 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2011-01-20

Country of Publication

Egypt

No. of Pages

14

Main Subjects

Physics

Abstract EN

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.

American Psychological Association (APA)

Jin, Menglin& Shepherd, J. Marshall& Zheng, Weizhong. 2011. Urban Surface Temperature Reduction via the Urban Aerosol Direct Effect : A Remote Sensing and WRF Model Sensitivity Study. Advances in Meteorology،Vol. 2010, no. 2010, pp.1-14.
https://search.emarefa.net/detail/BIM-490083

Modern Language Association (MLA)

Jin, Menglin…[et al.]. Urban Surface Temperature Reduction via the Urban Aerosol Direct Effect : A Remote Sensing and WRF Model Sensitivity Study. Advances in Meteorology No. 2010 (2010), pp.1-14.
https://search.emarefa.net/detail/BIM-490083

American Medical Association (AMA)

Jin, Menglin& Shepherd, J. Marshall& Zheng, Weizhong. Urban Surface Temperature Reduction via the Urban Aerosol Direct Effect : A Remote Sensing and WRF Model Sensitivity Study. Advances in Meteorology. 2011. Vol. 2010, no. 2010, pp.1-14.
https://search.emarefa.net/detail/BIM-490083

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-490083