Abstract
The Indo-Pacific Warm Pool (IPWP) is home to the warmest sea surface temperatures in the world oceans, favoring strong tropospheric convection and heavy rainfall. The mechanisms controlling long-term change in the region's hydroclimate are still uncertain. Here, we present a 450,000-year record of precipitation δD from southern Sumatra that records a consistent pattern of glacial isotopic enrichment and interglacial depletion. We synthesize existing paleo-indicators of precipitation δD and δ18O in the IPWP and compare results with water isotope-enabled climate simulations of the Last Glacial Maximum (LGM). The simulations show glacial isotopic enrichment over the eastern Indian Ocean extending into the southern IPWP and isotopic depletion over Southeast Asia, the west Pacific, and Australia. The pattern of simulated LGM isotopic change agrees generally well with our proxy synthesis. We conclude that reorganization of regional circulation under glacial conditions controls precipitation isotope variability in the IPWP: Low-level tropospheric convergence dominates the signal in the north/east, whereas divergence controls the response in the south/west. Additional sensitivity simulations suggest that the LGM ice sheets and the associated lowering in sea level, rather than decreased greenhouse gases, are responsible for the distinctive spatial pattern in glacial changes of precipitation isotopes and hydroclimate across the IPWP.
Original language | English (US) |
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Article number | e2020PA003985 |
Journal | Paleoceanography and Paleoclimatology |
Volume | 35 |
Issue number | 12 |
DOIs | |
State | Published - Dec 2020 |
Keywords
- Indo-Pacific Warm Pool
- Pleistocene
- leaf wax
- proxy-model comparison
- water isotopes
ASJC Scopus subject areas
- Oceanography
- Atmospheric Science
- Palaeontology
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Stable hydrogen isotope record of C30-Alkanoic acid from sediment core MD98-2152 for 450 kyr
Windler, G. (Contributor), Tierney, J. E. (Contributor), Zhu, J. (Contributor) & Poulsen, C. J. (Contributor), PANGAEA, 2020
DOI: 10.1594/PANGAEA.920834, https://doi.pangaea.de/10.1594/PANGAEA.920834
Dataset