Abstract

AbstractChanging climate conditions affect dust emissions and the global dust cycle, which in turn affects climate and biogeochemistry. In this study we use observationally constrained model reconstructions of the global dust cycle since the Last Glacial Maximum, combined with different simplified assumptions of atmospheric and sea ice processing of dust‐borne iron, to provide estimates of soluble iron deposition to the oceans. For different climate conditions, we discuss uncertainties in model‐based estimates of atmospheric processing and dust deposition to key oceanic regions, highlighting the large degree of uncertainty of this important variable for ocean biogeochemistry and the global carbon cycle. We also show the role of sea ice acting as a time buffer and processing agent, which results in a delayed and pulse‐like soluble iron release into the ocean during the melting season, with monthly peaks up to ~17 Gg/month released into the Southern Oceans during the Last Glacial Maximum (LGM).

Highlights

  • Mineral dust is an important component of the climate system of the Earth [Shao et al., 2011]

  • We show the role of sea ice acting as a time buffer and processing agent, which results in a delayed and pulse-like soluble iron release into the ocean during the melting season, with monthly peaks up to ~17 Gg/month released into the Southern Oceans during the Last Glacial Maximum (LGM)

  • H1 coincides with larger emissions from the Northern Hemisphere (NH), resulting in enhanced dust deposition globally at 16 ka BP (6771 Tg/a) compared to 21 ka BP (6294 Tg/a), despite the drastic reduction of glaciogenic dust emissions from South America and in the Southern Hemisphere (SH) [Lambert et al, 2008; Martínez-García et al, 2009] (Figure 1d)

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Summary

Introduction

Mineral dust is an important component of the climate system of the Earth [Shao et al., 2011]. Dust emissions occur in response to surface erosion initiated by wind stress on the land surface in arid or semi-arid areas with low vegetation cover [Marticorena and Bergametti, 1995; Prospero et al, 2002]. Fine-grained (

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