Articles | Volume 16, issue 2
https://doi.org/10.5194/essd-16-941-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-16-941-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Paleo±Dust: quantifying uncertainty in paleo-dust deposition across archive types
Nicolás J. Cosentino
CORRESPONDING AUTHOR
Instituto de Geografía, Facultad de Historia, Geografía y Ciencia Política, Pontificia Universidad Católica de Chile, Macul, 7820436, Chile
Dipartimento di Scienze dell'Ambiente e della Terra, Università degli Studi di Milano-Bicocca, Milan, 20126, Italy
Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Buenos Aires, Argentina
Centro de Investigaciones del Mar y la Atmósfera (CIMA), CONICET – Universidad de Buenos Aires, Buenos Aires, Argentina
Instituto Franco-Argentino de Estudios sobre el Clima y sus Impactos (IFAECI) – IRL 3351 – CNRS-CONICET-IRD-UBA, Buenos Aires, Argentina
Gabriela Torre
Facultad de Ciencias Exactas, Físicas y Naturales, Universidad Nacional de Córdoba, Córdoba, X5000JJC, Argentina
Centro de Investigaciones en Ciencias de la Tierra (CICTERRA), Consejo Nacional de Investigaciones Científicas y Tecnológicas (CONICET), Cordoba, X5016GCA, Argentina
Fabrice Lambert
Instituto de Geografía, Facultad de Historia, Geografía y Ciencia Política, Pontificia Universidad Católica de Chile, Macul, 7820436, Chile
Samuel Albani
Dipartimento di Scienze dell'Ambiente e della Terra, Università degli Studi di Milano-Bicocca, Milan, 20126, Italy
François De Vleeschouwer
Instituto Franco-Argentino de Estudios sobre el Clima y sus Impactos (IFAECI) – IRL 3351 – CNRS-CONICET-IRD-UBA, Buenos Aires, Argentina
Aloys J.-M. Bory
Laboratoire d'Océanologie et de Géosciences (LOG, UMR 8187, Université de Lille-CNRS-Université Côte d'Opale-IRD), Lille, 59000, France
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Cited
11 citations as recorded by crossref.
- Atmospheric methane lifetime during the Last Glacial Maximum was reduced owing to dust-mediated chlorine chemistry D. Meidan et al. https://doi.org/10.1126/science.aec4071
- Alpine ice core record of large changes in dust, sea-salt, and biogenic aerosol over Europe during deglaciation M. Legrand et al. https://doi.org/10.1093/pnasnexus/pgaf186
- Environmental dynamics recorded at Dupljaja loess section (southeastern Carpathian Basin, northern Serbia) S. Marković et al. https://doi.org/10.1016/j.catena.2025.109732
- Coupling of dust activity and loess accumulation with East Asian summer monsoon precipitation along the lower reaches of the Yellow River during the Last Glacial period W. Zhang et al. https://doi.org/10.1016/j.palaeo.2026.114241
- The Matuyama–Brunhes reversal in the loess-paleosol sequence of the Otkaznoe section (Terek–Kuma Lowland, Eastern Ciscaucasia) V. Dudanova et al. https://doi.org/10.1016/j.quascirev.2025.109628
- Model evidence for distinct origins of glacial–interglacial and millennial signals in Greenland dust P. Hopcroft & D. Rousseau https://doi.org/10.1073/pnas.2531908123
- Comment on Makó et al. Examination of Age-Depth Models Through Loess-Paleosol Sections in the Carpathian Basin. Quaternary 2025, 8, 55 Z. Perić et al. https://doi.org/10.3390/quat9010010
- Provenance of sediments in a deep-sea core offshore Kangaroo Island spanning the last 125 ka J. Stuut et al. https://doi.org/10.1016/j.aeolia.2025.100997
- Modeling global surface dust deposition using physics-informed neural networks C. Molina Catricheo et al. https://doi.org/10.1038/s43247-024-01942-2
- A model of loess formation and atmospheric circulation regimes in the Azov region during the Middle and Late Pleistocene P. Kalinin et al. https://doi.org/10.1016/j.quascirev.2024.109135
- High-resolution XRF-CS/ICP-MS mineral element data calibration and potential applications in sub-Antarctic peat records F. De Vleeschouwer et al. https://doi.org/10.1038/s41598-026-41047-8
11 citations as recorded by crossref.
- Atmospheric methane lifetime during the Last Glacial Maximum was reduced owing to dust-mediated chlorine chemistry D. Meidan et al. https://doi.org/10.1126/science.aec4071
- Alpine ice core record of large changes in dust, sea-salt, and biogenic aerosol over Europe during deglaciation M. Legrand et al. https://doi.org/10.1093/pnasnexus/pgaf186
- Environmental dynamics recorded at Dupljaja loess section (southeastern Carpathian Basin, northern Serbia) S. Marković et al. https://doi.org/10.1016/j.catena.2025.109732
- Coupling of dust activity and loess accumulation with East Asian summer monsoon precipitation along the lower reaches of the Yellow River during the Last Glacial period W. Zhang et al. https://doi.org/10.1016/j.palaeo.2026.114241
- The Matuyama–Brunhes reversal in the loess-paleosol sequence of the Otkaznoe section (Terek–Kuma Lowland, Eastern Ciscaucasia) V. Dudanova et al. https://doi.org/10.1016/j.quascirev.2025.109628
- Model evidence for distinct origins of glacial–interglacial and millennial signals in Greenland dust P. Hopcroft & D. Rousseau https://doi.org/10.1073/pnas.2531908123
- Comment on Makó et al. Examination of Age-Depth Models Through Loess-Paleosol Sections in the Carpathian Basin. Quaternary 2025, 8, 55 Z. Perić et al. https://doi.org/10.3390/quat9010010
- Provenance of sediments in a deep-sea core offshore Kangaroo Island spanning the last 125 ka J. Stuut et al. https://doi.org/10.1016/j.aeolia.2025.100997
- Modeling global surface dust deposition using physics-informed neural networks C. Molina Catricheo et al. https://doi.org/10.1038/s43247-024-01942-2
- A model of loess formation and atmospheric circulation regimes in the Azov region during the Middle and Late Pleistocene P. Kalinin et al. https://doi.org/10.1016/j.quascirev.2024.109135
- High-resolution XRF-CS/ICP-MS mineral element data calibration and potential applications in sub-Antarctic peat records F. De Vleeschouwer et al. https://doi.org/10.1038/s41598-026-41047-8
Saved (final revised paper)
Latest update: 24 Oct 2026
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 by mass. 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 the paleo-dust deposition rate. We can use this compilation to guide climate models so that they better represent dust–climate interactions.
One of the main uncertainties related to future climate change has to do with how aerosols...
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