Deep Blue Retrievals of Asian Aerosol Properties During ACE-Asia
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- 30 October 2006
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Geoscience and Remote Sensing
- Vol. 44 (11), 3180-3195
- https://doi.org/10.1109/tgrs.2006.879540
Abstract
During the ACE-Asia field campaign, unprecedented amounts of aerosol property data in East Asia during springtime were collected from an array of aircraft, shipboard, and surface instruments. However, most of the observations were obtained in areas downwind of the source regions. In this paper, the newly developed satellite aerosol algorithm called "Deep Blue" was employed to characterize the properties of aerosols over source regions using radiance measurements from the Sea-viewing Wide Field-of-view Sensor (SeaWiFS) and Moderate Resolution Imaging Spectroradiometer (MODIS). Based upon the Aringngstroumlm exponent derived from the Deep Blue algorithm, it was demonstrated that this new algorithm is able to distinguish dust plumes from fine-mode pollution particles even in complex aerosol environments such as the one over Beijing. Furthermore, these results were validated by comparing them with observations from AERONET sites in China and Mongolia during spring 2001. These comparisons show that the values of satellite-retrieved aerosol optical thickness from Deep Blue are generally within 20%-30% of those measured by sunphotometers. The analyses also indicate that the roles of mineral dust and anthropogenic particles are comparable in contributing to the overall aerosol distributions during spring in northern China, while fine-mode particles are dominant over southern China. The spring season in East Asia consists of one of the most complex environments in terms of frequent cloudiness and wide ranges of aerosol loadings and types. This paper will discuss how the factors contributing to this complexity influence the resulting aerosol monthly averages from various satellite sensors and, thus, the synergy among satellite aerosol productsKeywords
This publication has 28 references indexed in Scilit:
- Aerosol properties over bright-reflecting source regionsIEEE Transactions on Geoscience and Remote Sensing, 2004
- An overview of ACE‐Asia: Strategies for quantifying the relationships between Asian aerosols and their climatic impactsJournal of Geophysical Research: Solid Earth, 2003
- Satellite detection of dust using the IR imagery of Meteosat: 1. Infrared difference dust indexJournal of Geophysical Research: Solid Earth, 2001
- An emerging ground‐based aerosol climatology: Aerosol optical depth from AERONETJournal of Geophysical Research: Solid Earth, 2001
- Determination of radiative forcing of Saharan dust using combined TOMS and ERBE dataJournal of Geophysical Research: Solid Earth, 2000
- Remote Sensing of Tropospheric Aerosols from Space: Past, Present, and FutureBulletin of the American Meteorological Society, 1999
- Earth surface reflectivity climatology at 340–380 nm from TOMS dataJournal of Geophysical Research: Solid Earth, 1997
- Operational remote sensing of tropospheric aerosol over land from EOS moderate resolution imaging spectroradiometerJournal of Geophysical Research: Solid Earth, 1997
- The MODIS 2.1-μm channel-correlation with visible reflectance for use in remote sensing of aerosolIEEE Transactions on Geoscience and Remote Sensing, 1997
- Detection of biomass burning smoke from TOMS measurementsGeophysical Research Letters, 1996