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Increase in convective extreme El Niño events in a CO 2 removal scenario.

Gayan PathiranaJi-Hoon OhWenju CaiSoon-Il AnSeung-Ki MinSeo-Young JoJongsoo ShinJong-Seong Kug
Published in: Science advances (2023)
Convective extreme El Niño (CEE) events, characterized by strong convective events in the eastern Pacific, are known to have a direct link to anomalous climate conditions worldwide, and it has been reported that CEE will occur more frequently under greenhouse warming. Here, using a set of CO 2 ramp-up and ramp-down ensemble experiments, we show that frequency and maximum intensity of CEE events increase further in the ramp-down period from the ramp-up period. These changes in CEE are associated with the southward shift of the intertropical convergence zone and intensified nonlinear rainfall response to sea surface temperature change in the ramp-down period. The increasing frequency of CEE has substantial impacts on regional abnormal events and contributed considerably to regional mean climate changes to the CO 2 forcings.
Keyphrases
  • climate change
  • machine learning
  • risk assessment
  • heavy metals
  • convolutional neural network
  • transition metal