Modeling dust as component minerals in the Community Atmosphere Model: development of framework and impact on radiative forcing

Scanza, R. A.; Mahowald, N.; Ghan, S.; Zender, C. S.; Kok, J. F.; Liu, X.; Zhang, Y.; Albani, S.

doi:10.5194/acp-15-537-2015

Title: Modeling dust as component minerals in the Community Atmosphere Model: development of framework and impact on radiative forcing

Journal Article · Thu Jan 15 00:00:00 EST 2015 · Atmospheric Chemistry and Physics (Online)

DOI:https://doi.org/10.5194/acp-15-537-2015· OSTI ID:1230072

Scanza, R. A.; Mahowald, N.; Ghan, S.;

; Kok, J. F.; Liu, X.; Zhang, Y.; Albani, S.

The mineralogy of desert dust is important due to its effect on radiation, clouds and biogeochemical cycling of trace nutrients. This study presents the simulation of dust radiative forcing as a function of both mineral composition and size at the global scale, using mineral soil maps for estimating emissions. Externally mixed mineral aerosols in the bulk aerosol module in the Community Atmosphere Model version 4 (CAM4) and internally mixed mineral aerosols in the modal aerosol module in the Community Atmosphere Model version 5.1 (CAM5) embedded in the Community Earth System Model version 1.0.5 (CESM) are speciated into common mineral components in place of total dust. The simulations with mineralogy are compared to available observations of mineral atmospheric distribution and deposition along with observations of clear-sky radiative forcing efficiency. Based on these simulations, we estimate the all-sky direct radiative forcing at the top of the atmosphere as + 0.05 Wm⁻² for both CAM4 and CAM5 simulations with mineralogy. We compare this to the radiative forcing from simulations of dust in release versions of CAM4 and CAM5 (+0.08 and +0.17 Wm⁻²) and of dust with optimized optical properties, wet scavenging and particle size distribution in CAM4 and CAM5, -0.05 and -0.17 Wm⁻², respectively. The ability to correctly include the mineralogy of dust in climate models is hindered by its spatial and temporal variability as well as insufficient global in situ observations, incomplete and uncertain source mineralogies and the uncertainties associated with data retrieved from remote sensing methods.

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Research Organization:: Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)

Sponsoring Organization:: USDOE; USDOE Atmospheric Systems Research and Climate Modeling Programs

Grant/Contract Number:: SC00006735; SC0006735; AC05-76RL01830; 0932946; 1003509

OSTI ID:: 1230072

Alternate ID(s):: OSTI ID: 1173023

Report Number(s):: PNNL-SA-107496

Journal Information:: Atmospheric Chemistry and Physics (Online), Journal Name: Atmospheric Chemistry and Physics (Online) Vol. 15 Journal Issue: 1; ISSN 1680-7324

Publisher:: Copernicus Publications, EGUCopyright Statement

Country of Publication:: Germany

Language:: English

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Cited by: 109 works

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