Thermodynamically inconsistent extreme precipitation sensitivities across continents driven by cloud-radiative effects

Extreme precipitation events are projected to intensify with global warming, threatening ecosystems and amplifying flood risks. However, observation-based estimates of extreme precipitation-temperature (EP-T) sensitivities show systematic spatio-temporal variability, with predominantly negative sensitivities across warmer regions. Here, we attribute this variability to confounding cloud radiative effects, which cool surfaces during rainfall, introducing covariation between rainfall and temperature beyond temperature's effect on atmospheric moisture-holding capacity. We remove this effect using a thermodynamically constrained surface-energy balance, and find positive EP-T sensitivities across continents, consistent with theoretical arguments. Median EP-T sensitivities across observations shift from -4.9%/°C to 6.1%/°C in the tropics and -0.5%/°C to 2.8%/°C in mid-latitudes. Regional variability in estimated sensitivities is reduced by more than 40% in tropics and about 30% in mid and high latitudes. Our findings imply that projected intensification of extreme rainfall with temperature is consistent with observations across continents, after confounding radiative effect of clouds is accounted for.

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Publication Details

Journal
Nature Communications
Published
2024-12-11
DOI
https://doi.org/10.1038/s41467-024-55143-8
Citations
9
Primary Topic
Climate variability and models
Type
article
Field-Weighted Citation Impact
2.54

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article

Thermodynamically inconsistent extreme precipitation sensitivities across continents driven by cloud-radiative effects

Axel Kleidon, Subimal Ghosh, Sarosh Alam Ghausi, Erwin Zehe et al.
9 citations
Nature Communications
Climate variability and models
2.54
article

Thermodynamically inconsistent extreme precipitation sensitivities across continents driven by cloud-radiative effects

Axel Kleidon, Subimal Ghosh, Sarosh Alam Ghausi, Erwin Zehe, Yinglin Tian
article en
9 citations

Abstract

Extreme precipitation events are projected to intensify with global warming, threatening ecosystems and amplifying flood risks. However, observation-based estimates of extreme precipitation-temperature (EP-T) sensitivities show systematic spatio-temporal variability, with predominantly negative sensitivities across warmer regions. Here, we attribute this variability to confounding cloud radiative effects, which cool surfaces during rainfall, introducing covariation between rainfall and temperature beyond temperature's effect on atmospheric moisture-holding capacity. We remove this effect using a thermodynamically constrained surface-energy balance, and find positive EP-T sensitivities across continents, consistent with theoretical arguments. Median EP-T sensitivities across observations shift from -4.9%/°C to 6.1%/°C in the tropics and -0.5%/°C to 2.8%/°C in mid-latitudes. Regional variability in estimated sensitivities is reduced by more than 40% in tropics and about 30% in mid and high latitudes. Our findings imply that projected intensification of extreme rainfall with temperature is consistent with observations across continents, after confounding radiative effect of clouds is accounted for.

Nature CommunicationsVol. 15(1)
Karlsruhe Institute of Technology (DE), Indian Institute of Technology Bombay (IN), Leibniz Association (DE), Max Planck Institute for Biogeochemistry (DE), Potsdam Institute for Climate Impact Research (DE)
National Aeronautics and Space Administration, Volkswagen Foundation, Max-Planck-Gesellschaft
Openalex Percentile: Top 10%
Climate variability and models
2.54
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Thermodynamically inconsistent extreme precipitation sensitivities across continents driven by cloud-radiative effects — Axel Kleidon, Subimal Ghosh, et al. · Nature Communications (2024) | TGRS Research Map | TGRS