EGU25-1813, updated on 14 Mar 2025
https://doi.org/10.5194/egusphere-egu25-1813
EGU General Assembly 2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Oral | Wednesday, 30 Apr, 10:45–11:30 (CEST)
 
Room F1
Understanding Paleoclimatic Inference of Stable Water Isotopes using iTRACE Simulation
Zhengyu Liu
Zhengyu Liu
  • The Ohio State University, Columbus, United States of America (liu.7022@osu.edu)

Stable water isotopes (δ18O) in precipitation are one of the most abundant paleoclimate proxies and have been used to infer temperature changes at high latitude and hydrological changes in the tropics. In spite of much progress, however, fundamental questions on the paleoclimate interpretation of stable water isotopes still remain open. Combing water isotope observations and an isotope-enabled TRAnsient ClimatE simulation of the last 21,000 years (iTREACE-21), I will discuss some recent progresses towards the understanding of paleoclimatic inferences of  δ18O.

I will first discuss the δ18O for the pan-Asian monsoon region. We show that the widespread δ18O variability that is coherent over the Asian monsoon continental region is accompanied by a coherent hydroclimate footprint, with spatially opposite signs in rainfall. This footprint is generated as a dynamically coherent response of the Asian monsoon system to meltwater forcing and insolation forcing, reinforced by atmospheric teleconnections. As such, a widespread δ18O depletion in the Asian monsoon region is accompanied by a northward migration of the westerly jet and enhanced southwesterly monsoon wind, as well as increased rainfall from South Asia to northern China, but decreased rainfall in southern China. 

I will then discuss the temperature effect of polar ice core δ18O, quantitatively, in a new framework called the Unified Slope Equations (USE) that illustrates the general relationship between spatial and temporal δ18O-temperature slopes. The application of USE to the Antarctica in model simulations and observations shows that the comparable Antarctica-mean spatial slope with deglacial temporal slope in δ18O-surface temperature is caused accidentally by the compensation responses between the δ18O-inversion layer temperature relation and the inversion layer temperature itself.  This finding further leads us to propose a paleothermometer that is more accurate and robust than the spatial slope as the present day seasonal slope of -inversion layer temperature, suggesting the possibility of reconstructing past polar temperature changes using present observations.

I will finally discuss the climate interpretation of tropical alpine ice core δ18O by combining proxy records with climate models, modern satellite measurements and radiative-convective equilibrium theory. I show that the tropical ice core δ18O is an indicator of the temperature of the middle and upper troposphere, with a glacial cooling of ~7oC . Furthermore, it severs as a Goldilocks indicator of global mean surface temperature change, providing the first estimate of glacial stage cooling that is independent of marine proxies as ~6oC .

 

How to cite: Liu, Z.: Understanding Paleoclimatic Inference of Stable Water Isotopes using iTRACE Simulation, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-1813, https://doi.org/10.5194/egusphere-egu25-1813, 2025.