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A schematic diagram describing the impacts of cloud-surface-coupling on the aerosol-cloud-interaction. When a cloud is coupled with the surface, a cloud is formed near the top of the planetary boundary-layer (PBL) that interacts strongly with the well-mixed aerosol, whereas they have little interaction under decoupled conditions. As aerosol alters cloud microphysics (more aerosol leads to more cloud droplets of smaller particle size that makes cloud brighter), solar radiation reflected by cloud is more under coupled conditions than under decoupled conditions, or a stronger cooling effect as indicated by the orange arrows. As a result, lack of accounting for the cloud-surface coupling tends to result in an underestimation of aerosol indirect radiative forcing, which is likely a major contributing factor to the systematic discrepancies between observation-based and model-based estimate of the aerosol cooling effect. Adapted from Su et al. (2024, Sci. Adv.).

Aerosols Affect Climate More Than We Think

A key to improve climate prediction is to improve understanding of the impact of aerosol on clouds, or commonly known as the aerosol-cloud-interaction according to a new study led by Earth System Science Interdisciplinary Center (ESSIC) researchers published today in Science Advances.

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A graphic abstract of the AOD Deep Learning Scheme

American Meteorological Society Awards Tianning Su

ESSIC/CISESS Graduate Student Tianning Su was selected for a speaking award at the recent American Meteorological Society (AMS) Annual Meeting. He received the award from the judges at the 24th Conference on Integrated Observing and Assimilation Systems for the Atmosphere, Oceans, and Land Surface (IOAS-AOLS). His talk was entitled, “Retrieving Aerosol Optical Depth Retrievals over Land by Constructing the Relationship of Spectral Surface Reflectances through Deep Learning: Application in Himawari-8.”

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