Here we analysed the long-term change in extreme hot days (EHDs) in East Asia during boreal summer (June–July–August) since 1979, where EHDs was defined as days exceeding or equalling the 90th percentile threshold of the climatological (1991–2020) daily (Formula presented.) and (Formula presented.). EHDs frequency occurrence in East Asia during summer showed not only an increasing trend but also a distinct regime shift increase since the late 1990s. Based on this regime shift, we divided these years into two periods, P1 (1979–1998) and P2 (1999–2021), and found that different physical processes operated for each period's EHDs variability. P2's EHDs was related to the stationary wave originating from both the North Atlantic Ocean and the Indo-Pacific warm pool, but these influences did not appear in P1. To investigate whether the observed regime shift increase was caused by natural variability or greenhouse gas concentration increases, we conducted a CO2 quadrupling experiment as well as a present-day experiment with a fixed CO2 concentration using the Community Earth System Model with 28 ensemble members. We demonstrated that the regime shift increase of East Asian EHDs occurrences was due to increasing greenhouse gas concentrations. We further discussed the influence of Arctic sea ice reduction due to global warming on EHDs occurrences in East Asia.
|Journal||International Journal of Climatology|
|Publication status||Accepted/In press - 2022|
Bibliographical noteFunding Information:
The CESM simulation was carried out on the supercomputer supported by the National Center for Meteorological Supercomputer of Korea Meteorological Administration (KMA), the National Supercomputing Center with supercomputing resources, associated technical support (KSC‐2019‐CHA‐0005), and the Korea Research Environment Open NETwork (KREONET). This work was supported by National Research Foundation (Grant NRF2018R1A5A1024958). Sang‐Wook Yeh is also supported by the research program for the carbon cycle between ocean, land and atmosphere of the National Research Foundation (NRF) funded by the Ministry of Science and Information and Communication Technologies (2021M316A1086803).
© 2022 Royal Meteorological Society.
All Science Journal Classification (ASJC) codes
- Atmospheric Science