Comparing remotely sensed and modelled aerosol properties for a region of low aerosol optical depth

Hewson, Michael, McGowan, Hamish and Phinn, Stuart (2012). Comparing remotely sensed and modelled aerosol properties for a region of low aerosol optical depth. In: 2012 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Munich, Germany, (2512-2515). 22-27 July 2012. doi:10.1109/IGARSS.2012.6350341

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Author Hewson, Michael
McGowan, Hamish
Phinn, Stuart
Title of paper Comparing remotely sensed and modelled aerosol properties for a region of low aerosol optical depth
Conference name IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
Conference location Munich, Germany
Conference dates 22-27 July 2012
Proceedings title 2012 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
Journal name International Geoscience and Remote Sensing Symposium Digest
Place of Publication Piscataway, United States
Publisher Institute of Electrical and Electronics Engineers
Publication Year 2012
Sub-type Fully published paper
DOI 10.1109/IGARSS.2012.6350341
ISBN 9781467311595
9781467311601
9781467311588
ISSN 2153-6996
Start page 2512
End page 2515
Total pages 4
Language eng
Abstract/Summary Studies of the second indirect aerosol effect (pollution inhibiting stratiform rainfall) for city size scale during a rain event are rare. However, as urban footprints expand understanding of urbanization effects on meteorology is crucial to mitigate possible adverse impacts such as modification to local cloud cover and precipitation. Here we compare aerosol optical properties from five weather model combinations of chemistry transport schemes with satellite images of aerosol optical properties in clear sky conditions. The WRF-Chem MOSAIC/CBM-Z combination of gas phase chemistry and aerosol transport schemes are shown to correlate well with a MODIS image for the case study presented. The result is important because the study area of Brisbane, Australia is known to have a low aerosol load - creating limitations when correlating model and satellite images of aerosol size distribution. Accordingly, results pave the way for future studies to quantify aerosol impacts on cloud and precipitation in sub-tropical settings.
Keyword Aerosol
Models
Pollution
Remote sensing
Q-Index Code E1
Q-Index Status Confirmed Code
Institutional Status UQ

 
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