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Cited by 1,074Atmospheric aerosols and cloudsAtmospheric chemistry and aerosolsAeolian processes and effects

Global dust model intercomparison in AeroCom phase I

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Huneeus, N., Schulz, M., Balkanski, Y., Griesfeller, J., Prospero, J., Kinne, S., Bauer, S., Boucher, O. +22 more·2011·Atmospheric Chemistry and Physics
DOI 10.5194/acp-11-7781-2011

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Abstract

Abstract. This study presents the results of a broad intercomparison of a total of 15 global aerosol models within the AeroCom project. Each model is compared to observations related to desert dust aerosols, their direct radiative effect, and their impact on the biogeochemical cycle, i.e., aerosol optical depth (AOD) and dust deposition. Additional comparisons to Angström exponent (AE), coarse mode AOD and dust surface concentrations are included to extend the assessment of model performance and to identify common biases present in models. These data comprise a benchmark dataset that is proposed for model inspection and future dust model development. There are large differences among the global models that simulate the dust cycle and its impact on climate. In general, models simulate the climatology of vertically integrated parameters (AOD and AE) within a factor of two whereas the total deposition and surface concentration are reproduced within a factor of 10. In addition, smaller mean normalized bias and root mean square errors are obtained for the climatology of AOD and AE than for total deposition and surface concentration. Characteristics of the datasets used and their uncertainties may influence these differences. Large uncertainties still exist with respect to the deposition fluxes in the southern oceans. Further measurements and model studies are necessary to assess the general model performance to reproduce dust deposition in ocean regions sensible to iron contributions. Models overestimate the wet deposition in regions dominated by dry deposition. They generally simulate more realistic surface concentration at stations downwind of the main sources than at remote ones. Most models simulate the gradient in AOD and AE between the different dusty regions. However the seasonality and magnitude of both variables is better simulated at African stations than Middle East ones. The models simulate the offshore transport of West Africa throughout the year but they overestimate the AOD and they transport too fine particles. The models also reproduce the dust transport across the Atlantic in the summer in terms of both AOD and AE but not so well in winter-spring nor the southward displacement of the dust cloud that is responsible of the dust transport into South America. Based on the dependency of AOD on aerosol burden and size distribution we use model bias with respect to AOD and AE to infer the bias of the dust emissions in Africa and the Middle East. According to this analysis we suggest that a range of possible emissions for North Africa is 400 to 2200 Tg yr−1 and in the Middle East 26 to 526 Tg yr−1.

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  • The NE Atlantic is the major global receptor of desert dust, about 45% of the global desert dust inputs to the ocean (450 Tg/y) occurs in this region.

    “The NE Atlantic is the major global receptor of desert dust, about the 45% of the global desert dust inputs to the ocean (450 Tg/y) occurs in this region (Mahowald et al., 2005;Huneeus et al., 2011).”

    From African desert dust influences migrations and fisheries of the Atlantic skipjack-tuna (2023) · cites this paper as Huneeus et al., 2011

    Section 2.1 discusses dust deposition to the Atlantic Ocean, and Section 4.2 describes dust transport from West Africa across the Atlantic. Neither passage establishes that the NE Atlantic is the largest global receptor or that it receives 45% (450 Tg/year) of global desert-dust inputs to the ocean. Page numbers were not available in our copy. (LLM, conf=0.78)

    Experimental — accuracy not yet measured

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Cited by

Sorted by citations

Authors
Huneeus, N., Schulz, M., Balkanski, Y., Griesfeller, J., Prospero, J., Kinne, S., Bauer, S., Boucher, O., Chin, M., Dentener, F., Diehl, T., Easter, R., Fillmore, D., Ghan, S., Ginoux, P., Grini, A., Horowitz, L., Koch, D., Krol, M. C., Landing, W., Liu, X., Mahowald, N., Miller, R., Morcrette, J.-J., Myhre, G., Penner, J., Perlwitz, J., Stier, P., Takemura, T., & Zender, C. S.
Affiliations
  • Centre National de la Recherche Scientifique (FR)
  • University of Miami (US)
  • Max Planck Institute for Meteorology (DE)
  • Goddard Institute for Space Studies (US)
  • Met Office (GB)
  • Goddard Space Flight Center (US)
  • Joint Research Centre (IT)
  • Pacific Northwest National Laboratory (US)
  • NSF National Center for Atmospheric Research (US)
  • NOAA Geophysical Fluid Dynamics Laboratory (US)
  • University of Oslo (NO)
  • Utrecht University (NL)
  • Florida State University (US)
  • Cornell University (US)
  • European Centre for Medium-Range Weather Forecasts (GB)
  • University of Michigan (US)
  • University of Oxford (GB)
  • Kyushu University (JP)
  • University of California, Irvine (US)
ORCID
Venue
Atmospheric Chemistry and Physics
Publisher
Copernicus GmbH
Published
2011-08-03
Volume
11
Issue
15
Pages
7781-7816
ISSN
  • 1680-7316 (ISSN-L)
  • 1680-7324
DOI
10.5194/acp-11-7781-2011
OpenAlex
W2094408786
Cited by
1,074
References
0
Citations by year
2026: 26 · 2025: 42 · 2024: 59 · 2023: 87 · 2022: 146 · 2021: 147 · 2020: 84 · 2019: 74 · 2018: 66 · 2017: 72 · 2016: 62 · 2015: 61 · 2014: 53 · 2013: 40 · 2012: 43
FWCI
39.93
Type
journal article
Language
en
Open access
Licence
Locations
  • Atmospheric chemistry and physics (publishedVersion, cc-by)
  • Oxford University Research Archive (ORA) (University of Oxford) (publishedVersion, cc-by)
  • WyoScholar (submittedVersion, cc-by)
  • HAL (submittedVersion, other-oa)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • Utrecht University Repository (Utrecht University) (submittedVersion, other-oa)
  • eScholarship (California Digital Library) (submittedVersion)
  • Max Planck Digital Library (submittedVersion, other-oa)
  • Socio-Environmental Systems Modeling (submittedVersion)
  • Digital Collections of Colorado (Colorado State University) (submittedVersion, cc-by)
  • Joint Research Centre (European Commission) (submittedVersion)
  • MPG.PuRe (Max Planck Society) (submittedVersion, other-oa)
  • Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
  • EGU General Assembly Conference Abstracts
Funders
European Commission (218793)
Topics
  • Physical Sciences › Environmental Science › Global and Planetary Change › Atmospheric aerosols and clouds
  • Physical Sciences › Earth and Planetary Sciences › Atmospheric Science › Atmospheric chemistry and aerosols
  • Physical Sciences › Earth and Planetary Sciences › Earth-Surface Processes › Aeolian processes and effects
Keywords
desert dust, AeroCom, aerosol optical depth, Ångström exponent, dust deposition, direct radiative effect, biogeochemical cycles, dust emission, iron fertilization, model bias, coarse mode aerosol

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