Future precipitation increase constrained by climatological pattern of cloud effect

Wenyu Zhou (), L. Ruby Leung, Nicholas Siler and Jian Lu
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Wenyu Zhou: Pacific Northwest National Laboratory
L. Ruby Leung: Pacific Northwest National Laboratory
Nicholas Siler: Oregon State University
Jian Lu: Pacific Northwest National Laboratory

Nature Communications, 2023, vol. 14, issue 1, 1-9

Abstract: Abstract The fractional increase in global mean precipitation ( $$\triangle \bar{P}/\bar{P}$$ △ P ¯ / P ¯ ) is a first-order measure of the hydrological cycle intensification under anthropogenic warming. However, $$\triangle \bar{P}/\bar{P}$$ △ P ¯ / P ¯ varies by a factor of more than three among model projections, hindering credible assessments of the associated climate impacts. The uncertainty in $$\triangle \bar{P}/\bar{P}$$ △ P ¯ / P ¯ stems from uncertainty in both hydrological sensitivity (global mean precipitation increase per unit warming) and climate sensitivity (global mean temperature increase per forcing). Here, by investigating hydrological and climate sensitivities in a unified surface-energy-balance perspective, we find that both sensitivities are significantly correlated with surface shortwave cloud feedback, which is further linked to the climatological pattern of cloud shortwave effect. The observed pattern of cloud effect thus constrains both sensitivities and consequently constrains $$\triangle \bar{P}/\bar{P}$$ △ P ¯ / P ¯ . The 5%-95% uncertainty range of $$\triangle \bar{P}/\bar{P}$$ △ P ¯ / P ¯ from 1979-2005 to 2080-2100 under the high-emission (moderate-emission) scenario is constrained from 6.34 $$\pm$$ ± 3.53% (4.19 $$\pm$$ ± 2.28%) in the raw ensemble-model projection to 7.03 $$\pm$$ ± 2.59% (4.63 $$\pm$$ ± 1.71%). The constraint thus suggests a higher most-likely $$\triangle \bar{P}/\bar{P}$$ △ P ¯ / P ¯ and reduces the uncertainty by ~25%, providing valuable information for impact assessments.

Date: 2023
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DOI: 10.1038/s41467-023-42181-x

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