DOE OSTI · 2587075
Global quantification of the dispersion effect with POLDER satellite data
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Abstract
Increased aerosols can modify the shape of the cloud Particle Size Distribution (PSD), thereby influencing the radiative properties of clouds, known as the Dispersion Effect (DE). However, a global, observation-based quantification of its impact on Aerosol-Cloud Interactions (ACI) is lacking, leading to DE being typically ignored in satellite-based estimates of ACI forcing. Here we propose a physics-based method that combines polarimetric satellite data on cloud PSD to achieve global observational quantification of DE’s impact on ACI in liquid-phase stratiform clouds. Globally, DE offsets ACI changes induced by droplet number concentration variation and liquid water path adjustment by 7% and −1.4%, respectively. Furthermore, a parameterization based on the global dataset of PSD shape parameters is developed to improve DE estimation in large-scale models. Both the quantification and parameterization enhance our understanding of DE and facilitate the inclusion of this non-negligible impact of DE on ACI in estimating aerosol climate forcing.
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Wang, Hengqi [Tsinghua Univ., Beijing (China); Chinese Academy of Sciences (CAS), Beijing (China)] (ORCID:0000000246683391), Peng, Yiran [Tsinghua Univ., Beijing (China)] (ORCID:0000000236865458), Di Noia, Antonio [Univ. of Bremen (Germany)] (ORCID:0000000250520763), Shang, Huazhe [Chinese Academy of Sciences (CAS), Beijing (China)], Letu, Husi [Chinese Academy of Sciences (CAS), Beijing (China)], van Diedenhoven, Bastiaan [Space Research Organisation Netherlands (SRON), Leiden (Netherlands) ] (ORCID:0000000156228619), Hasekamp, Otto P. [Space Research Organisation Netherlands (SRON), Leiden (Netherlands) ] (ORCID:0000000214942539), Liu, Yangang [Brookhaven National Laboratory (BNL), Upton, NY (United States)] (ORCID:0000000302380468), Quaas, Johannes [Leipzig Univ. (Germany)] (ORCID:000000017057194X). 2025-08-02. Global quantification of the dispersion effect with POLDER satellite data. https://doi.org/10.1038/s41467-025-62238-3
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