Trend estimates of AERONET-observed and model-simulated AOTs between 1993 and 2013
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- 作者：J. Yoona ; jongmin.yoon@mpic.de" class="auth_mail" title="E-mail the corresponding author ; A. Pozzera ; D.Y. Changa ; J. Lelievelda ; b ; c ; J. Kimd ; M. Kimd ; Y.G. Leee ; J.-H. Koof ; J. Leeg ; h ; K.J. Mooni
- 关键词：Aerosol optical thickness ; AErosol RObotic NETwork ; ECHAM/MESSy atmospheric chemistry model ; Trend estimates ; Monthly percentiles ; Monthly cumulative distributions
- 刊名：Atmospheric Environment
- 出版年：2016
- 出版时间：January 2016
- 年：2016
- 卷：125
- 期：part_PA
- 页码：33-47
- 全文大小：4596 K
文摘
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This study uses monthly AOT percentiles from the cumulative lognormal distribution.
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We minimize the uncertainty by integrating the cloud-independent model simulation.
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The weight trend model is used to minimize the cloud effect in the AERONET trend.
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The AERONET-classified and model-decomposed AOTs are used to identify the causes.