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Does the Madden-Julian Oscillation influence aerosol variability?

Tian, Baijun and Waliser, Duane E. and Kahn, Ralph A. and Li, Qinbi and Yung, Yuk L. and Tyranowski, Tomasz and Geogdzhayev, Igor V. and Mischenko, Michael I. and Torres, Omar and Smimov, Alexander (2008) Does the Madden-Julian Oscillation influence aerosol variability? Journal of Geophysical Research D, 113 . D12215. ISSN 0148-0227. https://resolver.caltech.edu/CaltechAUTHORS:TIAjgrd08

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Abstract

We investigate the modulation of aerosols by the Madden-Julian Oscillation (MJO) using multiple, global satellite aerosol products: aerosol index (AI) from the Total Ozone Mapping Spectrometer (TOMS) on Nimbus-7, and aerosol optical thickness (AOT) from the Moderate Resolution Imaging Spectroradiometer (MODIS) on Terra and Aqua and the Advanced Very High Resolution Radiometer (AVHRR) on NOAA satellites. A composite MJO analysis indicates that large variations in the TOMS AI and MODIS/AVHRR AOT are found over the equatorial Indian and western Pacific Oceans where MJO convection is active, as well as the tropical Africa and Atlantic Ocean where MJO convection is weak but the background aerosol level is high. A strong inverse linear relationship between the TOMS AI and rainfall anomalies, but a weaker, less coherent positive correlation between the MODIS/AVHRR AOT and rainfall anomalies, were found. The MODIS/AVHRR pattern is consistent with ground-based Aerosol Robotic Network data. These results indicate that the MJO and its associated cloudiness, rainfall, and circulation variability systematically influence the variability in remote sensing aerosol retrieval results. Several physical and retrieval algorithmic factors that may contribute to the observed aerosol-rainfall relationships are discussed. Preliminary analysis indicates that cloud contamination in the aerosol retrievals is likely to be a major contributor to the observed relationships, although we cannot exclude possible contributions from other physical mechanisms. Future research is needed to fully understand these complex aerosol-rainfall relationships.


Item Type:Article
Related URLs:
URLURL TypeDescription
http://dx.doi.org/10.1029/2007JD009372DOIUNSPECIFIED
ORCID:
AuthorORCID
Yung, Yuk L.0000-0002-4263-2562
Additional Information:© 2008. American Geophysical Union. Received 10 September 2007; accepted 18 February 2008; published 28 June 2008. This research was performed at the Jet Propulsion Laboratory (JPL), California Institute of Technology (Caltech), under a contract with NASA. B. Tian and D. Waliser were jointly supported by the Research and Technology Development program, Human Resources Development fund, and AIRS project at JPL as well as NASA Modeling, Analysis and Prediction program. The work of R. Kahn was supported in part by NASA Climate and Radiation Research and Analysis program, under H. Maring, and in part by the EOS-MISR instrument project. Y. Yung was supported by NASA grant NNG04GD76G to Caltech and T. Tyranowski acknowledges support by the Caltech SURF program in 2006. We also want to thank Eric Fetzer, Jianglong Zhang, and three anonymous reviewers for constructive comments and many scientists at the 2007 Gordon Research Conference on Radiation and Climate for helpful discussions.
Funders:
Funding AgencyGrant Number
NASANNG04GD76G
Summer Undergraduate Research Fellowship (SURF), CaltechUNSPECIFIED
Subject Keywords:MJO, AOT, AI
Record Number:CaltechAUTHORS:TIAjgrd08
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:TIAjgrd08
Official Citation:Tian, B., D. E. Waliser, R. A. Kahn, Q. Li, Y. L. Yung, T. Tyranowski, I. V. Geogdzhayev, M. I. Mishchenko, O. Torres, and A. Smirnov (2008), Does the Madden-Julian Oscillation influence aerosol variability?, J. Geophys. Res., 113, D12215, doi:10.1029/2007JD009372.
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:12762
Collection:CaltechAUTHORS
Deposited By: Archive Administrator
Deposited On:22 Dec 2008 23:21
Last Modified:09 Mar 2020 13:19

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