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Magnitude uncertainty dominates intermodel spread in zonal-mean precipitation response to anthropogenic aerosol increase

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NIAID Data Ecosystem2026-05-02 收录
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http://datadryad.org/dataset/doi%253A10.5061%252Fdryad.4j0zpc8qh
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Anthropogenic aerosols are an important driver of historical climate change, but the climate response is not fully understood, and the climate model simulations suffer from large uncertainties. Based on a multi-model ensemble of historical aerosol forcing simulations for a period of global aerosol increase during 1965–1989, here, we show that the precipitation response shares a common southward displacement of the tropical rain band, but the magnitude differs markedly among models, accounting for 76% of the intermodel uncertainty in zonal-mean precipitation change. Our analysis of atmospheric energetics further reveals key mechanisms for magnitude uncertainty: aerosol radiative forcing drives, cloud radiative feedback amplifies, and ocean circulation damps the intermodel uncertainty in cross-equatorial atmospheric energy transport change and the meridional shift of tropical rain bands. This has important implications for understanding and reducing intermodel uncertainty in anthropogenic climate change.
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2025-08-11
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