2023
DOI: 10.5194/cp-19-681-2023
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Indian Ocean variability changes in the Paleoclimate Modelling Intercomparison Project

Abstract: Abstract. The Indian Ocean exhibits multiple modes of interannual climate variability, whose future behaviour is uncertain. Recent analysis of glacial climates has uncovered an additional El Niño-like equatorial mode in the Indian Ocean, which could also emerge in future warm states. Here we explore changes in the tropical Indian Ocean simulated by the Paleoclimate Model Intercomparison Project (PMIP4). These simulations are performed by an ensemble of models contributing to the Coupled Model Intercomparison P… Show more

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Cited by 8 publications
(12 citation statements)
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“…It is noteworthy that despite the minor amplitude change assessed by the DMI, structural changes are still expected to reshape climatic responses to the IOD, inducing westward expanded drying over the east and wetter responses over the Indian peninsular (Brierley et al, 2023). Furthermore, by examining various scenarios including the LIG and mid-Holocene, Brierley et al (2023) demonstrated that IOD amplitudes are linearly correlated to the seasonal cycle of IO SST zonal gradients but less influenced by the ENSO strength. Their results further support the dominant influence of regional ocean-atmosphere coupling on IOD changes in orbital interglacial periods, consistent with our study.…”
Section: Summary and Discussionmentioning
confidence: 99%
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“…It is noteworthy that despite the minor amplitude change assessed by the DMI, structural changes are still expected to reshape climatic responses to the IOD, inducing westward expanded drying over the east and wetter responses over the Indian peninsular (Brierley et al, 2023). Furthermore, by examining various scenarios including the LIG and mid-Holocene, Brierley et al (2023) demonstrated that IOD amplitudes are linearly correlated to the seasonal cycle of IO SST zonal gradients but less influenced by the ENSO strength. Their results further support the dominant influence of regional ocean-atmosphere coupling on IOD changes in orbital interglacial periods, consistent with our study.…”
Section: Summary and Discussionmentioning
confidence: 99%
“…Previous proxies have indicated co‐occurrence of enhanced IOD activities and positive IOD‐like mean‐state changes during the seventeenth century and a close coupling between IOD and ENSO amplitudes during the last millennium (Abram, Wright, et al., 2020). However, these relationships might not fully hold at orbital time scales (Brierley et al., 2023). For instance, the modeling studies have reported that the IOD weakens during the mid‐Holocene notwithstanding positive IOD‐like responses in the SST (Brierley et al., 2023), because enhanced westward currents lead to reduced variability in the WEIO (Liu et al., 2023).…”
Section: Introductionmentioning
confidence: 99%
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“…Although there are many possible explanations of this sequence of events, the pattern is consistent with a wider scenario beginning with initial modest Hadley cell expansion during interdecadal variation, bringing about more methane emission from wetter outer tropical swamps (δ13CnormalCnormalH4 ${\delta }^{13}{\mathrm{C}}_{\mathrm{C}\mathrm{H}4}$ perhaps very roughly −60‰ in cool conditions compared to today). Then in response, changes in AMOC, the Walker circulation and the Indian Ocean Dipole (IOD) (Abram et al., 2020; Brierley et al., 2023), may have brought about intensification of equatorial rainfall and consequent rapid growth in equatorial wetland emissions, initiating methane's abrupt rise.…”
Section: Glacial Terminationsmentioning
confidence: 99%
“…For this purpose, we adopted an index that represents key climate variability in the Mediterranean: the DMI. Orbital changes affect the Indian Ocean dipole's sea surface temperature pattern, with induced changes in regional seasonality (Brierley et al 2023). In particular, a dominant mode of the interannual variability of Indian summer monsoon rainfall shows a west-east dipole pattern, which is linked to the active Azores High (Yadav 2021).…”
Section: Influence Of the Exogenous Variablementioning
confidence: 99%