Underestimated inhibition of cloud water by dust aerosols in the Yangtze River Delta.

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Title: Underestimated inhibition of cloud water by dust aerosols in the Yangtze River Delta.
Authors: Xu, Tianshu1 (AUTHOR), Yang, Yinshan1 (AUTHOR), Zhao, Chuanfeng2 (AUTHOR), Wang, Qiao1 (AUTHOR), Jia, Kun1 (AUTHOR), Wang, Yuying3 (AUTHOR), Tang, Yahui1 (AUTHOR), Yan, Xing1 (AUTHOR) yanxing@bnu.edu.cn
Source: Atmospheric Environment. Nov2025, Vol. 360, pN.PAG-N.PAG. 1p.
Subjects: Aerosols, Chemical properties, Atmospheric aerosols, Humidity, Pollutants, Climate change
Geographic Terms: Yangtze River Delta (China)
Abstract: Dust aerosols are transported over long distances before reaching the Yangtze River Delta (YRD), where they mix with local pollutants, resulting in unique physicochemical properties, such as a high aging degree. An analysis of the annual trend of dust events in the YRD reveals an increasing impact of dust aerosols in the region. This study investigates the effect of dust aerosols on cloud liquid water content (CLWC) in the YRD. During dust events, CLWC exhibits a significant decline, decreasing by approximately 42.3 % compared to background levels. To further assess this impact, both the Fixed Effects (FE) model and the Structural Equation Model (SEM) are employed, confirming the substantial inhibitory effect of dust aerosols on CLWC. The FE model estimates that dust aerosols contribute to a 25.37 % reduction in CLWC. Moreover, model results suggest that relying solely on aerosol optical depth (AOD) data, without considering coarse-mode aerosol optical depth (CAOD), may obscure the pronounced influence of dust aerosols. The SEM results further reveal that the fitting coefficients between AOD and CAOD can differ by up to 50 %, highlighting the potential underestimation of the inhibitory effects of dust aerosols. This study underscores the necessity of incorporating particle size information in aerosol-climate effect research to improve the accuracy of assessments. • Dust aerosol intensity, not frequency, increased in the Yangtze River Delta (YRD). • Long-range transported dust aerosols notably inhibit cloud water in the YRD. • Ignoring aerosol size data leads to significant underestimation (∼50 %) of impacts. [ABSTRACT FROM AUTHOR]
Copyright of Atmospheric Environment is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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DbLabel: Engineering Source
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  Data: Underestimated inhibition of cloud water by dust aerosols in the Yangtze River Delta.
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  Data: <searchLink fieldCode="AR" term="%22Xu%2C+Tianshu%22">Xu, Tianshu</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yang%2C+Yinshan%22">Yang, Yinshan</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhao%2C+Chuanfeng%22">Zhao, Chuanfeng</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wang%2C+Qiao%22">Wang, Qiao</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Jia%2C+Kun%22">Jia, Kun</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wang%2C+Yuying%22">Wang, Yuying</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Tang%2C+Yahui%22">Tang, Yahui</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yan%2C+Xing%22">Yan, Xing</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> yanxing@bnu.edu.cn</i>
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  Data: <searchLink fieldCode="JN" term="%22Atmospheric+Environment%22">Atmospheric Environment</searchLink>. Nov2025, Vol. 360, pN.PAG-N.PAG. 1p.
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  Data: <searchLink fieldCode="DE" term="%22Aerosols%22">Aerosols</searchLink><br /><searchLink fieldCode="DE" term="%22Chemical+properties%22">Chemical properties</searchLink><br /><searchLink fieldCode="DE" term="%22Atmospheric+aerosols%22">Atmospheric aerosols</searchLink><br /><searchLink fieldCode="DE" term="%22Humidity%22">Humidity</searchLink><br /><searchLink fieldCode="DE" term="%22Pollutants%22">Pollutants</searchLink><br /><searchLink fieldCode="DE" term="%22Climate+change%22">Climate change</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22Yangtze+River+Delta+%28China%29%22">Yangtze River Delta (China)</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Dust aerosols are transported over long distances before reaching the Yangtze River Delta (YRD), where they mix with local pollutants, resulting in unique physicochemical properties, such as a high aging degree. An analysis of the annual trend of dust events in the YRD reveals an increasing impact of dust aerosols in the region. This study investigates the effect of dust aerosols on cloud liquid water content (CLWC) in the YRD. During dust events, CLWC exhibits a significant decline, decreasing by approximately 42.3 % compared to background levels. To further assess this impact, both the Fixed Effects (FE) model and the Structural Equation Model (SEM) are employed, confirming the substantial inhibitory effect of dust aerosols on CLWC. The FE model estimates that dust aerosols contribute to a 25.37 % reduction in CLWC. Moreover, model results suggest that relying solely on aerosol optical depth (AOD) data, without considering coarse-mode aerosol optical depth (CAOD), may obscure the pronounced influence of dust aerosols. The SEM results further reveal that the fitting coefficients between AOD and CAOD can differ by up to 50 %, highlighting the potential underestimation of the inhibitory effects of dust aerosols. This study underscores the necessity of incorporating particle size information in aerosol-climate effect research to improve the accuracy of assessments. • Dust aerosol intensity, not frequency, increased in the Yangtze River Delta (YRD). • Long-range transported dust aerosols notably inhibit cloud water in the YRD. • Ignoring aerosol size data leads to significant underestimation (∼50 %) of impacts. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Atmospheric Environment is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/j.atmosenv.2025.121406
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 1
        StartPage: N.PAG
    Subjects:
      – SubjectFull: Aerosols
        Type: general
      – SubjectFull: Chemical properties
        Type: general
      – SubjectFull: Atmospheric aerosols
        Type: general
      – SubjectFull: Humidity
        Type: general
      – SubjectFull: Pollutants
        Type: general
      – SubjectFull: Climate change
        Type: general
      – SubjectFull: Yangtze River Delta (China)
        Type: general
    Titles:
      – TitleFull: Underestimated inhibition of cloud water by dust aerosols in the Yangtze River Delta.
        Type: main
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          Name:
            NameFull: Xu, Tianshu
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            NameFull: Yang, Yinshan
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            NameFull: Zhao, Chuanfeng
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            NameFull: Wang, Qiao
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            NameFull: Jia, Kun
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            NameFull: Wang, Yuying
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            NameFull: Tang, Yahui
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            NameFull: Yan, Xing
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          Dates:
            – D: 01
              M: 11
              Text: Nov2025
              Type: published
              Y: 2025
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              Value: 13522310
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              Value: 360
          Titles:
            – TitleFull: Atmospheric Environment
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