Paper
30 December 2004 Retrieving sources of fine aerosols from MODIS and AERONET observations by inverting GOCART model
Oleg Dubovik, Tatyana Lapyonok, Yoram J. Kaufman, Mian Chin, Paul Ginoux, Lorraine A. Remer, Brent N. Holben
Author Affiliations +
Proceedings Volume 5652, Passive Optical Remote Sensing of the Atmosphere and Clouds IV; (2004) https://doi.org/10.1117/12.579069
Event: Fourth International Asia-Pacific Environmental Remote Sensing Symposium 2004: Remote Sensing of the Atmosphere, Ocean, Environment, and Space, 2004, Honolulu, Hawai'i, United States
Abstract
The knowledge of the global distribution of tropospheric aerosols is important for studying effects of natural aerosols on global climate. Chemical transport models relying on assimilated meteorological fields and accounting for aerosol advection by winds and removal processes can simulate such distribution of atmospheric aerosols. However, the accuracy of global aerosol modeling is yet limited. The uncertainty in location and strength of the aerosol emission sources is a major factor limiting accuracy of global aerosol transport modeling. This paper describes an effort to retrieve global sources of fine mode aerosol from global satellite observations by inverting GOCART aerosol transport model. The method uses an adjoint operation to the aerosol transport model that allows performing inversion with original space (2 x 2.5 degrees) and time (20-60 minutes) resolution of GOCART model. The approach is illustrated by numerical tests and applied to the retrieval global aerosol sources (location and strength) from a combination of MODIS and AERONET observations.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Oleg Dubovik, Tatyana Lapyonok, Yoram J. Kaufman, Mian Chin, Paul Ginoux, Lorraine A. Remer, and Brent N. Holben "Retrieving sources of fine aerosols from MODIS and AERONET observations by inverting GOCART model", Proc. SPIE 5652, Passive Optical Remote Sensing of the Atmosphere and Clouds IV, (30 December 2004); https://doi.org/10.1117/12.579069
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Cited by 2 scholarly publications.
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KEYWORDS
Aerosols

Atmospheric modeling

MODIS

Atmospheric particles

Ocean optics

Satellites

Carbon

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