Please use this identifier to cite or link to this item:
Title: Global trends of aerosol optical thickness using the ensembleempirical mode decomposition method
Authors: Zhang, Z
Wong, MS 
Nichol, JE 
Keywords: Aerosol
Aerosol optical thickness
Ensemble empirical mode decomposition
Issue Date: 2016
Publisher: John Wiley & Sons
Source: International journal of climatology, 2016, v. 36, p. 4358-4372 How to cite?
Journal: International journal of climatology 
Abstract: Aerosol trends and rates of change were analysed between 2003 and 2013, over both land and ocean, using MODerate resolution Imaging Spectroradiometer (MODIS) monthly aerosol optical thickness (AOT) products (MYD08). Unlike previous research, the ensemble empirical mode decomposition (EEMD) was implemented in this study. Results show that sustained positive or negative trends are globally observed in most areas during the study period. However, increasing rates were decelerated and even became downward trends over western North America, central South America, East China Sea and southeastern China. Comparing EEMD results with linear regression, it is evident that the increasing and decreasing rates from the EEMD method are much stronger. Zonally averaged trends clearly indicate an opposite trend between the southern and northern hemispheres. In addition, this study demonstrates that linear regression may not fit trends statistically in some areas, such as central South America and part of the Indian Ocean. Around 32.74% (12 816) of pixels exhibit low correlation (r2 = 0.5) between linear and nonlinear trends from EEMD. Approximately 12.46% (4877), 6.56% (2567) and 1.85% (724) of pixels experience significant variations against the F-test, autoregressive process of the first-order for EEMD and linear regression, respectively. The rates of change observed in this study can be used in analysing the long-term effects of aerosols on climate change and earth's radiative budget.
ISSN: 0899-8418 (print)
1097-0088 (online)
DOI: 10.1002/joc.4637
Appears in Collections:Journal/Magazine Article

View full-text via PolyU eLinks SFX Query
Show full item record


Citations as of Sep 16, 2017


Last Week
Last month
Citations as of Sep 21, 2017

Page view(s)

Last Week
Last month
Checked on Sep 17, 2017

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.