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.