14 Aug 2023
 | 14 Aug 2023
Status: this preprint is currently under review for the journal ESSD.

Paleo±Dust: Quantifying uncertainty in paleo-dust deposition across archive types

Nicolás Juan Cosentino, Gabriela Torre, Fabrice Lambert, Samuel Albani, François De Vleeschouwer, and Aloys Bory

Abstract. Mineral dust aerosol concentrations in the atmosphere varied greatly on glacial-interglacial timescales. The greatest changes in global dust activity occurred in response to changes in orbital parameters that affect dust emission intensity through glacial activity, and dust lifetime in the atmosphere through changes in the global hydrological cycle. Long-term changes in surface dust deposition rate are registered in geological archives such as loess, peats, lakes, marine sediments, and ice. Data provided by these archives is crucial for guiding simulations of dust, and for better understanding the natural global dust cycle. However, the methods employed to derive paleo-dust deposition rates differ markedly between archives and are subject to different sources of uncertainty. Here, we present Paleo±Dust, an updated compilation of bulk and <10-µm paleo-dust deposition rate with quantitative 1-σ uncertainties that are inter-comparable among archive types. Paleo±Dust incorporates a total of 284 pre-industrial Holocene (pi-HOL) and 208 Last Glacial Maximum (LGM) dust flux constraints from studies published until December 2022, including for the first time peat records. We also recalculate previously published dust fluxes to exclude data from the last deglaciation and thus obtain more representative constraints for the last pre-industrial interglacial and glacial end-member climate states. Based on Paleo±Dust, the global LGM:pi-HOL ratio of <10-µm dust deposition rate is 3.1 ± 0.8 (1σ). We expect Paleo±Dust to be of use for future paleoclimate dust studies and simulations using Earth system models of high to intermediate complexity.

Nicolás Juan Cosentino et al.

Status: open (until 18 Oct 2023)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on essd-2023-241', Gabor Ujvari, 14 Sep 2023 reply
  • RC2: 'Comment on essd-2023-241', Gabor Ujvari, 14 Sep 2023 reply

Nicolás Juan Cosentino et al.

Nicolás Juan Cosentino et al.


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Short summary
One of the main uncertainties related to future climate change has to do with how aerosols interact with climate. Dust is the most abundant aerosol in the atmosphere. In order to better understand the links between dust and climate, we can turn to geological archives of ancient dust. Paleo±Dust is a compilation of measured values of paleo-dust deposition rate. We can use this compilation to train climate models so that they better represent dust-climate interactions.