2022
DOI: 10.1038/s41612-022-00315-w
|View full text |Cite
|
Sign up to set email alerts
|

Differential expansion speeds of Indo-Pacific warm pool and deep convection favoring pool under greenhouse warming

Abstract: The Indo-Pacific warm pool (IPWP), which affects the global climate system through supporting tropical convection, has been reported to expand significantly under greenhouse warming. Although early research revealed that the sea surface temperature (SST) threshold for deep convection (σconv) increases with global warming, many latest relevant works were still conducted based on the traditional IPWP definition (e.g., static SST = 28 °C threshold, and is referred to as the oceanic warm pool, OWP28). Here, we cla… Show more

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
12
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
6

Relationship

1
5

Authors

Journals

citations
Cited by 12 publications
(12 citation statements)
references
References 67 publications
(127 reference statements)
0
12
0
Order By: Relevance
“…In this study, the IPWP is divided into the Indian and Pacific Ocean sectors (see figure S1), respectively referred to as the IOWP and the WPWP, based on the basin mask information from NOAA's National Oceanographic Data Center (Locarnini et al 2010). The image histogram approach (Chen et al 2002, Cheng and Shi 2004, Xu et al 2010, Wong et al 2016, Leung et al 2022 was applied to display the spatial probability frequency distributions (PFDs) of SST and to estimate the capacity for change in warm pool size under ocean warming. Heat budget analyses were used to diagnose the seasonal variation of climatological SST.…”
Section: Methodsmentioning
confidence: 99%
“…In this study, the IPWP is divided into the Indian and Pacific Ocean sectors (see figure S1), respectively referred to as the IOWP and the WPWP, based on the basin mask information from NOAA's National Oceanographic Data Center (Locarnini et al 2010). The image histogram approach (Chen et al 2002, Cheng and Shi 2004, Xu et al 2010, Wong et al 2016, Leung et al 2022 was applied to display the spatial probability frequency distributions (PFDs) of SST and to estimate the capacity for change in warm pool size under ocean warming. Heat budget analyses were used to diagnose the seasonal variation of climatological SST.…”
Section: Methodsmentioning
confidence: 99%
“…These anomalies stand for the impact of climate change (Anom = Future-HIST). To identify changes in the SST-precipitation relationship, we defined the two variables as follows: (1) deep convection threshold SST (CTT) is derived from the minimum SST which precipitation exceeds 10 mm d −1 , the threshold value that is favorable to deep convection based on (Leung et al 2022); and (2) saturation threshold SST (STT) is defined as the SST value at which the monthly mean precipitation peaks based on the joint probability density distribution. A hypothesis proposes that precipitation initially exhibits a continuous increase until reaching its maximum, after which it begins to decrease.…”
Section: Methodsmentioning
confidence: 99%
“…A significant increase in precipitation is shown over the regions where climatological precipitation is greater than 6 mm d −1 (figure 1(b), gray contour). Especially, 8 mm d −1 is considered as the minimum requirement of atmospheric deep convection (Leung et al 2022). When it comes to the areas where precipitation is more than 8 mm d −1 , a significant increasing trend of precipitation is displayed over the western Pacific.…”
Section: The Recent Warming Sst and Intensified Deep Convection Over ...mentioning
confidence: 99%
See 1 more Smart Citation
“…The patterns of the linear trends and differences are similar and exhibit a La Niña‐like structure with strengthened zonal SST and D20 anomaly gradients, strengthened zonal trade winds, and suppressed deep convection in the central equatorial Pacific. The warming trends in the western tropical Pacific are likely due to human ‐induced warming (e.g., Jiang & Zhu, 2020; Leung et al., 2022; Weller et al., 2016). These trends and differences are also consistent with the ENSO regime shift and mean state changes across the equatorial Pacific in 1999/2000 (England et al., 2014; Z.‐Z.…”
Section: Impact Of the Mean State Changes In The Tropical Pacificmentioning
confidence: 99%