Journal cover Journal topic
Atmospheric Chemistry and Physics An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

IF value: 5.414
IF5.414
IF 5-year value: 5.958
IF 5-year
5.958
CiteScore value: 9.7
CiteScore
9.7
SNIP value: 1.517
SNIP1.517
IPP value: 5.61
IPP5.61
SJR value: 2.601
SJR2.601
Scimago H <br class='widget-line-break'>index value: 191
Scimago H
index
191
h5-index value: 89
h5-index89
Preprints
https://doi.org/10.5194/acp-2020-160
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-2020-160
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

  24 Apr 2020

24 Apr 2020

Review status
A revised version of this preprint was accepted for the journal ACP and is expected to appear here in due course.

Understanding Processes that Control Dust Spatial Distributions with Global Climate Models and Satellite Observations

Mingxuan Wu1,2, Xiaohong Liu1,3, Hongbin Yu4, Hailong Wang2, Yang Shi1,3, Kang Yang5, Anton Darmenov4, Chenglai Wu1, Zhien Wang5, Tao Luo1, Yan Feng6, and Ziming Ke1,3 Mingxuan Wu et al.
  • 1Department of AtmosphericScience, University of Wyoming, Laramie, WY, USA
  • 2Atmospheric Sciences and Global Change Division, Pacific NorthwestNational Laboratory, Richland, WA, USA
  • 3Department of Atmospheric Sciences, Texas A&M University, College Station, Texas, USA
  • 4NASA Goddard Space Flight Center, Greenbelt, Maryland, USA
  • 5Department of Atmospheric and Oceanic Sciences, University of Colorado Boulder, Boulder, CO, USA
  • 6Environmental Science Division, Argonne National Laboratory, Argonne, IL, USA

Abstract. Dust aerosol is important in modulating the climate system at local and global scales, yet its spatiotemporal distributions simulated by global climate models (GCMs) are highly uncertain. In this study, we evaluate the spatiotemporal variations of dust extinction profiles and dust optical depth (DOD) simulated by the Community Earth System Model version 1 (CESM1) and version 2 (CESM2), the Energy Exascale Earth System Model version 1 (E3SMv1), and the Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2) against satellite retrievals from Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP), Moderate Resolution Imaging Spectroradiometer (MODIS), and Multi-angle Imaging SpectroRadiometer (MISR). We find that CESM1, CESM2, and E3SMv1 underestimate dust transport to remote regions. E3SMv1 performs better than CESM1 and CESM2 in simulating dust transport and the northern hemispheric DOD due to its higher mass fraction of fine dust. CESM2 performs the worst in the northern hemisphere due to its lower dust emission than in the other two models but has a better dust simulation over the Southern Ocean due to the overestimation of dust emission in the southern hemisphere. DOD from MERRA-2 agrees well with CALIOP DOD in remote regions due to its higher mass fraction of fine dust and the assimilation of aerosol optical depth. The large disagreements in the dust extinction profiles and DOD among CALIOP, MODIS, and MISR retrievals make the model evaluation of dust spatial distributions challenging. Our study indicates the importance of representing dust emission, dry/wet deposition, and size distribution in GCMs in correctly simulating dust spatiotemporal distributions.

Mingxuan Wu et al.

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Mingxuan Wu et al.

Mingxuan Wu et al.

Viewed

Total article views: 622 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
492 118 12 622 28 6 13
  • HTML: 492
  • PDF: 118
  • XML: 12
  • Total: 622
  • Supplement: 28
  • BibTeX: 6
  • EndNote: 13
Views and downloads (calculated since 24 Apr 2020)
Cumulative views and downloads (calculated since 24 Apr 2020)

Viewed (geographical distribution)

Total article views: 477 (including HTML, PDF, and XML) Thereof 476 with geography defined and 1 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved

No saved metrics found.

Discussed

No discussed metrics found.
Latest update: 20 Oct 2020
Publications Copernicus
Download
Short summary
The spatiotemporal distributions of dust aerosol simulated by global climate models (GCMs) are highly uncertain. In this study, we evaluate dust extinction profiles, optical depth, and surface concentrations simulated in four GCMs, including one reanalysis model, against multiple satellite retrievals and surface observations to gain process-level understanding. Our results highlight the importance of correctly representing dust emission, dry/wet deposition, and size distribution in GCMs.
The spatiotemporal distributions of dust aerosol simulated by global climate models (GCMs) are...
Citation
Altmetrics