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      Spatial and seasonal variations of aerosols over China from two decades of multi-satellite observations – Part 2: AOD time series for 1995–2017 combined from ATSR ADV and MODIS C6.1 and AOD tendency estimations

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          Abstract

          <p><strong>Abstract.</strong> Understanding long-term variations in aerosol loading is essential for evaluating the health and climate effects of airborne particulates as well as the effectiveness of pollution control policies. The expected satellite lifetime is about 10 to 15 years. Therefore, to study the variations of atmospheric constituents over longer periods information from different satellites must be utilized.</p> <p>Here we introduce a method to construct a combined annual and seasonal long time series of AOD at 550 nm using the Along-Track Scanning Radiometers (ATSR: ATSR-2 and AATSR combined) and the MODerate resolution Imaging Spectroradiometer on Terra (MODIS/Terra), which together cover the 1995–2017 period. The long-term (1995–2017) combined AOD time series are presented for all of mainland China, for southeastern (SE) China and for 10 selected regions in China. Linear regression was applied to the combined AOD time series constructed for individual L3 (1<span class="inline-formula"><sup>∘</sup></span><span class="thinspace"></span><span class="inline-formula">×</span><span class="thinspace"></span>1<span class="inline-formula"><sup>∘</sup></span>) pixels to estimate the AOD tendencies for two periods: 1995–2006 (P1) and 2011–2017 (P2), with respect to the changes in the emission reduction policies in China.</p> <p>During P1, the annually averaged AOD increased by 0.006 (or 2<span class="thinspace"></span>% of the AOD averaged over the corresponding period) per year across all of mainland China, reflecting increasing emissions due to rapid economic development. In SE China, the annual AOD positive tendency in 1995–2006 was 0.014 (3<span class="thinspace"></span>%) per year, reaching maxima (0.020, or 4<span class="thinspace"></span>%, per year) in Shanghai and the Pearl River Delta regions. After 2011, during P2, AOD tendencies reversed across most of China with the annually averaged AOD decreasing by <span class="inline-formula">−0.015</span> (<span class="inline-formula">−6</span><span class="thinspace"></span>%) per year in response to the effective reduction of the anthropogenic emissions of primary aerosols, <span class="inline-formula">SO<sub>2</sub></span> and <span class="inline-formula">NO<sub><i>x</i></sub></span>. The strongest AOD decreases were observed in the Chengdu (<span class="inline-formula">−0.045</span>, or <span class="inline-formula">−8</span><span class="thinspace"></span>%, per year) and Zhengzhou (<span class="inline-formula">−0.046</span>, or <span class="inline-formula">−9</span><span class="thinspace"></span>%, per year) areas, while over the North China Plain and coastal areas the AOD decrease was lower than <span class="inline-formula">−0.03</span> (approximately <span class="inline-formula">−6</span><span class="thinspace"></span>%) per year. In the less populated areas the AOD decrease was small.</p> <p>The AOD tendency varied by both season and region. The increase in the annually averaged AOD during P1 was mainly due to an increase in summer and autumn in SE China (0.020, or 4<span class="thinspace"></span>%, and 0.016, or 4<span class="thinspace"></span>%, per year, respectively), while during winter and spring the AOD actually decreased over most of China. The AOD negative tendencies during the 2011–2017 period were larger in summer than in other seasons over the whole of China (ca. <span class="inline-formula">−0.021</span>, or <span class="inline-formula">−7</span><span class="thinspace"></span>%, per year) and over SE China (ca. <span class="inline-formula">−0.048</span>, or <span class="inline-formula">−9</span><span class="thinspace"></span>%, per year).</p> <p>The long-term AOD variations presented here show a gradual decrease in the AOD after 2011 with an average reduction of 30<span class="thinspace"></span>%–50<span class="thinspace"></span>% between 2011 and 2017. The effect is more visible in the highly populated and industrialized regions in SE China, as expected.</p>

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          The MODIS Aerosol Algorithm, Products, and Validation

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            The Collection 6 MODIS aerosol products over land and ocean

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              Operational remote sensing of tropospheric aerosol over land from EOS moderate resolution imaging spectroradiometer

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                Author and article information

                Journal
                Atmospheric Chemistry and Physics
                Atmos. Chem. Phys.
                Copernicus GmbH
                1680-7324
                2018
                November 26 2018
                : 18
                : 22
                : 16631-16652
                Article
                10.5194/acp-18-16631-2018
                d974fe2b-40ef-4366-a043-a69617a84f43
                © 2018

                https://creativecommons.org/licenses/by/4.0/

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