4.7 Article

Investigating the impact of cloud-radiative feedbacks on tropical precipitation extremes

Journal

NPJ CLIMATE AND ATMOSPHERIC SCIENCE
Volume 4, Issue 1, Pages -

Publisher

NATURE PORTFOLIO
DOI: 10.1038/s41612-021-00174-x

Keywords

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Funding

  1. National Center for Atmospheric Research - National Science Foundation (NSF) [1852977]
  2. Regional and Global Model Analysis component of the Earth and Environmental System Modeling Program of the US Department of Energy's (DOE) Office of Biological and Environmental Research [NSF IA 1844590]
  3. DOE [B631711]
  4. NASA PMM grant [80NSSC19K0717]
  5. NSF [AGS-1650209]
  6. National Science Foundation

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The study reveals that extreme precipitation over tropical oceans is strengthened through a positive feedback with cloud-radiative effects, and the lack of this feedback leads to a decrease in extreme precipitation. This highlights the importance of accurately predicting cloud structure and properties, as well as capturing the essence of organized convection in climate models in order to represent extreme rainfall accurately.
Although societally important, extreme precipitation is difficult to represent in climate models. This study shows one robust aspect of extreme precipitation across models: extreme precipitation over tropical oceans is strengthened through a positive feedback with cloud-radiative effects. This connection is shown for a multi-model ensemble with experiments that make clouds transparent to longwave radiation. In all cases, tropical extreme precipitation reduces without cloud-radiative effects. Qualitatively similar results are presented for one model using the cloud-locking method to remove cloud feedbacks. The reduced extreme precipitation without cloud-radiative feedbacks does not arise from changes in the mean climate. Rather, evidence is presented that cloud-radiative feedbacks enhance organization of convection and most extreme precipitation over tropical oceans occurs within organized systems. This result suggests that climate models must correctly predict cloud structure and properties, as well as capture the essence of organized convection in order to accurately represent extreme rainfall.

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