Improved Representation of the Global Dust Cycle Using Observational Constraints on Dust Properties and Abundance

• Published in: Atmospheric chemistry and physics Vol. 21; no. 10; pp. 8127 - 8167
• Main Authors: Adebiyi, Adeyemi A, Albani, Samuel, Balkanski, Yves, Checa-Garcia, Ramiro, Chin, Mian, Colarco, Peter R, Hamilton, Douglas S, Huang, Yue, Leung, Danny M, Li, Longlei, Mahowald, Natalie M, Miller, Ronald L, Obiso, Vincenzo, García‐Pando, Carlos Pérez, Rocha-Lima, Adriana, Wan, Jessica S
• Format: Journal Article
• Language: English
• Published: Goddard Space Flight Center European Geosciences Union 27.05.2021; Copernicus GmbH; Copernicus Publications
• Subjects: Abundance; Aerosol concentrations; Aerosol optical depth; Aerosols; Air pollution; Atmospheric models; Atmospheric particulates; Constraint modelling; Continental interfaces, environment; Datasets; Deposition; Diameters; Dry deposition; Dust; Dust cycle; Dust emission; Dust storms; Earth atmosphere; Efficiency; Emissions; Errors; Fluctuations; Fluxes; Geosciences (General); Mineralogy; Northern Hemisphere; Ocean, Atmosphere; Optical analysis; Optical thickness; Particle size; Particle size distribution; Properties; Representations; Sciences of the Universe; Simulation; Size distribution; Southern Hemisphere; Temporal distribution; Wet and dry deposition; Aerosols, Dust
• ISSN: 1680-7316; 1680-7324; 1680-7324
• DOI: 10.5194/acp-21-8127-2021

Even though desert dust is the most abundant aerosol by mass in Earth’s atmosphere, atmospheric models 25 struggle to accurately represent its spatial and temporal distribution. These model errors are partially caused byfundamental difficulties in simulating dust emission in coarse-resolution models and in accurately representing dust microphysical properties. Here we mitigate these problems by developing a new methodology that yields an improved representation of the global dust cycle. We present an analytical framework that uses inverse modeling to integrate an ensemble of global model simulations with observational constraints on the dust size distribution, 30 extinction efficiency, and regional dust aerosol optical depth. We then compare the inverse model results against independent measurements of dust surface concentration and deposition flux and find that errors are reduced by approximately a factor of two relative to current model simulations of the Northern Hemisphere dust cycle. The inverse model results show smaller improvements in the less dusty Southern Hemisphere, most likely because both the model simulations and the observational constraints used in the inverse model are less accurate. On a global 35 basis, we find that the emission flux of dust with geometric diameter up to 20 μm (PM20) is approximately 5,000 Tg/year, which is greater than most models account for. This larger PM20 dust flux is needed to match observational constraints showing a large atmospheric loading of coarse dust. We obtain gridded data sets of dust emission, vertically integrated loading, dust aerosol optical depth, (surface) concentration, and wet and dry deposition fluxes that are resolved by season and particle size. As our results indicate that this data set is more accurate than current 40 model simulations and the MERRA-2 dust reanalysis product, it can be used to improve quantifications of dust impacts on the Earth system.