2020
DOI: 10.1029/2019jd032097
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Simulating and Evaluating Global Aerosol Distributions With the Online Aerosol‐Coupled CAS‐FGOALS Model

Abstract: • The inter-annual and seasonal variation of modeled aerosol optical properties are overall consistent with observations at most regions • Biases of the meteorological fields are responsible for the underestimation of Ångström Exponent over the industrial dominant regions • The seasonal variations of aerosol optical depth in the dust dominant region can be better reproduced with more realistic wind fields Accepted Article This article has been accepted for publication and undergone full peer review but has not… Show more

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Cited by 8 publications
(5 citation statements)
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References 102 publications
(204 reference statements)
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“…Our model generally captures the spatial variation of DOD, although there is a systematic underestimation. This occurs possibly due to a lack of realistic simulations of wind fields by the model (Wang et al., 2020).…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…Our model generally captures the spatial variation of DOD, although there is a systematic underestimation. This occurs possibly due to a lack of realistic simulations of wind fields by the model (Wang et al., 2020).…”
Section: Resultsmentioning
confidence: 99%
“…The global dust simulations are conducted using the SPRINTARS (Spectral Radiation Transport Model for Aerosol Species) aerosol model (Takemura et al, 2005(Takemura et al, , 2009, which is coupled online with the CAS-FGOALS-f3 (the Chinese Academy of Sciences Flexible Global Ocean-Atmosphere-Land System) GCM (Bao et al, 2013(Bao et al, , 2020Wang et al, 2020;Zhao et al, 2022). The size distribution of dust particles in the SPRINTARS model is categorized into 10 bins, ranging from 0.2 to 20 μm in diameter (Takemura et al, 2000).…”
Section: Cas-fgoals-sprintarsmentioning
confidence: 99%
“…We calculate the effects of different emissions on modelling aerosol surface concentrations and AODs by using two emission inventories (CMIP6 and ACCMIP), and the experiments are performed for the period of 2002–2008 (Wang et al ., 2020d). As shown in Table 4, the global mean of SO 2 emission in CMIP6 is 12.28% larger than that in ACCMIP, while the global mean of carbonaceous aerosol emission in CMIP6 is 1.94% smaller than that in ACCMIP (Wang et al ., 2020d). As shown in Figure 12, the CMIP6 emissions are much stronger than the ACCMIP emissions over TP and surrounding areas, especially in SO 2 emissions.…”
Section: Discussionmentioning
confidence: 99%
“…The SPRINTARS (Takemura et al ., 2000; Takemura et al ., 2005; Takemura et al ., 2009), which has participated many international model‐intercomparisons, such as AeroCom I (Textor et al ., 2006), AeroCom II (Myhre et al ., 2013), CMIP phases (Watanabe et al ., 2011) and the Atmospheric Chemistry and Climate Model Intercomparison Project (ACCMIP) (Lamarque et al ., 2013), has been recently coupled to the CAS‐FGOALS‐f3‐L (Wang et al ., 2020d, 2020e). SPRINARS, including the evolutions of soil dust, sea‐salt, OC, BC and sulphate aerosols, is a global three‐dimensional aerosol transport‐radiation model.…”
Section: Model and Datamentioning
confidence: 99%
“…Global sea salt emissions amount to more than 4,700 Tg/year, which exceeds emissions of all other types of aerosols combined (H. Wang et al., 2020). Sea salt acts as cloud condensation nuclei, thus influencing cloud optical properties, cloud lifetime, and the hydrological cycle.…”
Section: Introductionmentioning
confidence: 99%