PP034-07
Oxygen isotopic signatures of major climate modes and implications for their detectability in speleothems
Oxygen isotopic signatures of major climate modes and implications for their detectability in speleothems
Friday, 11 December 2020: 20:54
Virtual
Abstract:
Major modes of climate variability, such as the El Niño/Southern Oscillation (ENSO), Pacific Decadal Oscillation (PDO) and Atlantic Multi-decadal Oscillation (AMO), strongly modulate terrestrial hydroclimate on interannual to multi-decadal time scales. Therefore it is important to understand the response of these modes to external forcing. Since general circulation models show large diversity in modal responses to climate change, paleoclimate reconstruction is highly useful for extending the temporal coverage of observations of climate modes, providing a longer baseline for evaluating model skill and thereby constraining model projections. In particular, the oxygen isotopic ratio in absolutely-dated speleothems (δ18Ospel) is an excellent tool for deciphering past climates due to its relatively long timespan, high temporal resolution, and availability across the world. Here we assess the usefulness of δ18Ospel for understanding past modal variance changes. We use the isotope-enabled Community Earth System Model’s Last Millennium Ensemble (iLME) combined with a forward proxy model to delineate the global expression of modal variability in “pseudo-stalagmite” (δ18Ospel) records worldwide. The modelled δ18Ospel shows coherent patterns, illustrating the spatial structure of modal signatures. Individual pseudo-stalagmites record changes in ENSO variance; however, substantial changes (>30 %) in modal variance are required for a modest response in δ18Ospel variance (<15%), indicating that any single speleothem has limited reconstruction skill. In contrast, using networks of δ18Ospel records from ENSO-teleconnected regions shows much greater skill in reconstructing ENSO variance, and the skill improves when the network is optimised with equal numbers of records from both sides of the Pacific. In the case of AMO and PDO variance reconstruction, the skill of modeled δ18Ospel is more limited. This can be either due to the weak relation between decadal modes and δ18Ospel in the real world, or to a potential underestimation of low frequency variability in iLME simulations.