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Haibo Du
,
Markus G. Donat
,
Shengwei Zong
,
Lisa V. Alexander
,
Rodrigo Manzanas
,
Andries Kruger
,
Gwangyong Choi
,
Jim Salinger
,
Hong S. He
,
Mai-He Li
,
Fumiaki Fujibe
,
Banzragch Nandintsetseg
,
Shafiqur Rehman
,
Farhat Abbas
,
Matilde Rusticucci
,
Arvind Srivastava
,
Panmao Zhai
,
Tanya Lippmann
,
Ibouraïma Yabi
,
Michael C. Stambaugh
,
Shengzhong Wang
,
Altangerel Batbold
,
Priscilla Teles de Oliveira
,
Muhammad Adrees
,
Wei Hou
,
Claudio Moises Santos e Silva
,
Paulo Sergio Lucio
, and
Zhengfang Wu

Abstract

Extreme precipitation occurring on consecutive days may substantially increase the risk of related impacts, but changes in such events have not been studied at a global scale. Here we use a unique global dataset based on in situ observations and multimodel historical and future simulations to analyze the changes in the frequency of extreme precipitation on consecutive days (EPCD). We further disentangle the relative contributions of variations in precipitation intensity and temporal correlation of extreme precipitation to understand the processes that drive the changes in EPCD. Observations and climate model simulations show that the frequency of EPCD is increasing in most land regions, in particular, in North America, Europe, and the Northern Hemisphere high latitudes. These increases are primarily a consequence of increasing precipitation intensity, but changes in the temporal correlation of extreme precipitation regionally amplify or reduce the effects of intensity changes. Changes are larger in simulations with a stronger warming signal, suggesting that further increases in EPCD are expected for the future under continued climate warming.

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