Investigating the Effects of Prescribing Different Sea Surface Temperature Reconstructions on the Mineral Dust Cycle During the Last Glacial Maximum
- 1Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Climate Sciences, Germany (stephan.kraetschmer@awi.de)
- 2Institute of Industrial Science (IIS), The University of Tokyo, Kashiwa, Japan
- 3Department of Environmental Physics, University of Bremen, Bremen, Germany
In this study, we perform simulations with the ECHAM6.3-HAM2.3 aerosol-climate model with two prescribed different reconstructions of sea surface temperatures (SST) for the Last Glacial Maximum (LGM) as boundary conditions. While one of the datasets suggests a global cooling of 4.1°C (GLOMAP; Paul et al., 2021), the other suggests a much stronger cooling of 6.1°C (Tierney et al., 2020) during the LGM compared to pre-industrial climate conditions. The comparison of our simulation results to LGM land surface temperatures reconstructed based on noble gas concentrations in groundwater (Seltzer et al., 2021) does not indicate clearly which SST dataset results in a better agreement between our simulation results and observational data. For further assessment, we also compare for both SST datasets the simulated mineral dust deposition in the Southern Hemisphere to observational data (Kohfeld et al., 2013). While GLOMAP SSTs result in a strong overrepresentation of Australian mineral dust deposited over Antarctica, the SSTs provided by Tierney et al. (2020) indicate Patagonia to be the dominant dust source during the LGM in terms of deposition over Antarctica with minor contributions from Australia and South Africa. Such dominant Patagonian dust source is in agreement with geochemical data from East Antarctic ice cores (Basile et al., 1997; Delmonte et al., 2008). The differences in individual source contributions can be traced back on the one hand to changes in the meteorological conditions in the source regions, including vegetation, wind speed and precipitation. On the other hand, both SST datasets result in different characteristic high- and low-pressure patterns in the Southern Hemisphere, which allow for a more efficient transport of Australian dust for the warmer GLOMAP SSTs and Patagonian dust for the colder Tierney et al. SSTs to Antarctica.
How to cite: Krätschmer, S., Cauquoin, A., Lohmann, G., and Werner, M.: Investigating the Effects of Prescribing Different Sea Surface Temperature Reconstructions on the Mineral Dust Cycle During the Last Glacial Maximum, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-12893, https://doi.org/10.5194/egusphere-egu23-12893, 2023.