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

Abstract

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,more » 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.« less

Authors:
 [1];  [1];  [2];  [3];  [4];  [5];  [6];  [1]
  1. Cornell Univ., Ithaca, NY (United States). Dept. of Earth and Atmospheric Sciences
  2. Pacific Northwest National Lab. (PNNL), Richland, WA (United States). Atmospheric Sciences and Global Change Div.
  3. Univ. of California, Irvine, CA (United States). Dept. of Earth Systems Science
  4. Univ. of California, Los Angeles, CA (United States). Dept. of Atmospheric and Oceanic Sciences
  5. Pacific Northwest National Lab. (PNNL), Richland, WA (United States). Atmospheric Sciences and Global Change Div.; Univ. of Wyoming, Laramie, WY (United States). Dept. of Atmospheric Science
  6. Cornell Univ., Ithaca, NY (United States). Dept. of Earth and Atmospheric Sciences; Fudan Univ., Shanghai (China). Dept. of Environmental Science and Engineering
Publication Date:
Research Org.:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE Atmospheric Systems Research and Climate Modeling Programs; USDOE
OSTI Identifier:
1230072
Alternate Identifier(s):
OSTI ID: 1173023
Report Number(s):
PNNL-SA-107496
Journal ID: ISSN 1680-7324; KP1703020
Grant/Contract Number:  
SC0006735; AC05-76RL01830; 0932946; 1003509; SC00006735
Resource Type:
Published Article
Journal Name:
Atmospheric Chemistry and Physics (Online)
Additional Journal Information:
Journal Name: Atmospheric Chemistry and Physics (Online); Journal Volume: 15; Journal Issue: 1; Journal ID: ISSN 1680-7324
Publisher:
European Geosciences Union
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES

Citation Formats

Scanza, Rachel, Mahowald, N., Ghan, Steven J., Zender, C. S., Kok, J. F., Liu, Xiaohong, Zhang, Y., and Albani, Samuel. Modeling dust as component minerals in the Community Atmosphere Model: development of framework and impact on radiative forcing. United States: N. p., 2015. Web. doi:10.5194/acp-15-537-2015.
Scanza, Rachel, Mahowald, N., Ghan, Steven J., Zender, C. S., Kok, J. F., Liu, Xiaohong, Zhang, Y., & Albani, Samuel. Modeling dust as component minerals in the Community Atmosphere Model: development of framework and impact on radiative forcing. United States. doi:10.5194/acp-15-537-2015.
Scanza, Rachel, Mahowald, N., Ghan, Steven J., Zender, C. S., Kok, J. F., Liu, Xiaohong, Zhang, Y., and Albani, Samuel. Thu . "Modeling dust as component minerals in the Community Atmosphere Model: development of framework and impact on radiative forcing". United States. doi:10.5194/acp-15-537-2015.
@article{osti_1230072,
title = {Modeling dust as component minerals in the Community Atmosphere Model: development of framework and impact on radiative forcing},
author = {Scanza, Rachel and Mahowald, N. and Ghan, Steven J. and Zender, C. S. and Kok, J. F. and Liu, Xiaohong and Zhang, Y. and Albani, Samuel},
abstractNote = {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.},
doi = {10.5194/acp-15-537-2015},
journal = {Atmospheric Chemistry and Physics (Online)},
number = 1,
volume = 15,
place = {United States},
year = {2015},
month = {1}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record
DOI: 10.5194/acp-15-537-2015

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Cited by: 25 works
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