Long range transport of coarse mineral dust: an evaluation of the Met Office unified model against aircraft observations

Ratcliffe, N. G., Ryder, C. L. ORCID: https://orcid.org/0000-0002-9892-6113, Bellouin, N. ORCID: https://orcid.org/0000-0003-2109-9559, Woodward, S., Jones, A., Johnson, B., Wieland, L.-M., Maximilian, D., Gasteiger, J. and Weinzierl, B. (2024) Long range transport of coarse mineral dust: an evaluation of the Met Office unified model against aircraft observations. Atmospheric Chemistry and Physics, 24 (21). pp. 12161-12181. ISSN 1680-7324 doi: 10.5194/acp-24-12161-2024

Abstract/Summary

Coarse mineral dust particles have been observed much further from the Sahara than expected based on theory. They have different impacts to finer particles on the Earth’s radiative budget, and carbon and hydrological cycles, though tend to be underrepresented in climate models.We use measurements of the full dust size distribution from aircraft campaigns over the Sahara, Canaries, Cape Verde and Caribbean. We assess the observed and modelled dust size distribution over long-range transport at high vertical resolution using the Met Office Unified Model, which represents dust up to 63.2 μm diameter, greater than most climate models. We show that the model generally replicates the vertical distribution of the total dust mass but transports larger dust particles too low in the atmosphere. Importantly, coarse particles in the model are deposited too quickly, resulting in an underestimation of dust mass that is exacerbated with westwards transport; 20-63 μm dust mass contribution between 2-3.7 km altitude is underestimated by factors of up to 11 at the Sahara, 140 at the Canaries and 240 at Cape Verde. At the Caribbean, there is negligible modelled contribution of d > 20 μm particles to total mass, compared to 10% in the observations. This work adds to the growing body of research that demonstrates the need for a process-based evaluation of climate model dust simulations to identify where improvements could be implemented.

Item Type	Article
URI	https://reading-clone.eprints-hosting.org/id/eprint/118493
Identification Number/DOI	10.5194/acp-24-12161-2024
Refereed	Yes
Divisions	Science > School of Mathematical, Physical and Computational Sciences > Department of Meteorology
Publisher	Copernicus Publications
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