Simulation of mineral dust aerosol with Piecewise Log-normal Approximation (PLA) in CanAM4-PAM

Peng, Yiran; Salzen, Knut von; Li, J.

doi:10.5194/acp-12-6891-2012

Cited by 29 publications

(20 citation statements)

References 91 publications

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“…However, considerable uncertainties still exist in the simulation of the dust cycle and its interactions with climate [Forster et al, 2007;Huneeus et al, 2011;Boucher et al, 2013]. Large biases have been found in the simulated dust concentrations, deposition fluxes, and dust optical depth [e.g., Huneeus et al, 2011;Liu et al, 2012a;Peng et al, 2012;Evan et al, 2014;Parajuli et al, 2016a]. As pointed out in these studies, a key source of the model biases lies in the parameterization of dust emission.…”

Section: Introductionmentioning

confidence: 99%

A process‐oriented evaluation of dust emission parameterizations in CESM: Simulation of a typical severe dust storm in East Asia

Lin

et al. 2016

J Adv Model Earth Syst

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Dust emissions in climate and earth system models are associated with large uncertainties. These models often use the source erodibility (S) to constrain dust emissions and also lack explicit representations of the impact of surface roughness elements (SREs) on the threshold friction velocity (u*t). This study presents a process‐oriented evaluation of dust emission parameterizations in the Community Earth System Model (CESM) by applying the model to simulate a severe dust storm during 19–22 March 2010 in East Asia. Through numerical experiments, we assess the applicability of S and investigate the impact of SREs on dust emissions by implementing the roughness correction factor (fλ) to u*t. Simulation results are compared against the surface synoptic observations and station observations of dust concentrations. We found that the model can capture the main dust emission regions and reproduce the temporal‐spatial evolution of surface dust concentrations in Mongolia and northern China. With a geomorphic S (Sg), the model tends to produce excessive dust emissions over the low‐lying basins. Moreover, the high‐resolution Sg performs worse with “point sources” of strong dust emissions than the low‐resolution one. With the inclusion of fλ, total dust emissions are reduced by 24–34%, and the model reduces the overestimation of surface dust concentrations and improves their temporal variations over the vegetated regions. These results suggest that Sg may not be necessary when meteorology and land surface state are well simulated by the model and that fλ provides an important constraint on dust emissions through SREs.

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Section: Introductionmentioning

confidence: 99%

A process‐oriented evaluation of dust emission parameterizations in CESM: Simulation of a typical severe dust storm in East Asia

Lin

et al. 2016

J Adv Model Earth Syst

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“…The other possible explanation is that our model may also have less scavenging for large dust particles, and this induces an incorrect dust size distribution over the outflow regions. SPRINTARS uses a single-moment scheme to track only the dust mass in 10 bins, as compared to the two-moment dust model that also includes the size distribution (Adams and Seinfeld, 2002;Peng et al, 2012). Although the underestimation of AE is further enlarged when using the clear-sky results, especially over the NAM and ASA regions, R is generally improved.…”

Section: Comparisons With Aeronet Observationsmentioning

confidence: 99%

“…These parameters are either prescribed empirically or calculated explicitly in global climate aerosol models (Kinne et al, 2006;Textor et al, 2007;Peng et al, 2012;Zhang et al, 2012b;Mann et al, 2014), and the uncertainties of such parameters can induce significant differences in the simulated aerosol optical properties (Goto et al, 2011b). Aerosol modeling also suffers from poorly known aerosol life cycles and emission inventories (Textor et al, 2006(Textor et al, , 2007.…”

Section: Introductionmentioning

confidence: 99%

Analysis and evaluation of the global aerosol optical properties simulated by an online aerosol-coupled non-hydrostatic icosahedral atmospheric model

2015

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Aerosol optical properties are simulated using the Spectral Radiation Transport Model for Aerosol Species (SPRINTARS) coupled with the Non-hydrostatic ICosahedral Atmospheric Model (NICAM). The 3-year global mean all-sky aerosol optical thickness (AOT) at 550 nm, theÅngström Exponent (AE) based on AOTs at 440 and 870 nm, and the single scattering albedo (SSA) at 550 nm are estimated at 0.123, 0.657 and 0.944, respectively. For each aerosol species, the mean AOT is within the range of the AeroCom models. Both the modeled all-sky and clear-sky results are compared with observations from the Moderate Resolution Imaging Spectroradiometer (MODIS) and the Aerosol Robotic Network (AERONET). The simulated spatiotemporal distributions of all-sky AOTs can generally reproduce the MODIS retrievals, and the correlation and model skill can be slightly improved using the clear-sky results over most land regions. The differences between clear-sky and all-sky AOTs are larger over polluted regions. Compared with observations from AERONET, the modeled and observed all-sky AOTs and AEs are generally in reasonable agreement, whereas the SSA variation is not well captured. Although the spatiotemporal distributions of all-sky and clear-sky results are similar, the clear-sky results are generally better correlated with the observations. The clear-sky AOT and SSA are generally lower than the all-sky results, especially in those regions where the aerosol chemical composition is contributed to mostly by sulfate aerosol. The modeled clear-sky AE is larger than the all-sky AE over those regions dominated by hydrophilic aerosol, while the opposite is found over regions dominated by hydrophobic aerosol.Key words: aerosol optical properties, non-hydrostatic icosahedral atmospheric model, Moderate Resolution Imaging Spectroradiometer, Aerosol Robotic Network Citation: Dai, T., G. Y. Shi, and T. Nakajima, 2015: Analysis and evaluation of the global aerosol optical properties simulated by an online aerosol-coupled non-hydrostatic icosahedral atmospheric model.

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“…Other differences between CanAM4 and CanAM4.2 that are relevant to this study are the introduction of an aerosol microphysics scheme (von Salzen, 2006;Ma et al, 2008;Peng et al, 2012), a higher vertical resolution in the upper troposphere, a reduced solar constant (1361 W m −2 ), and an improved treatment of the solar continuum used in the radiative transfer. However, the model retains the same T63 spectral resolution, with 49 vertical levels.…”

Section: Modelling Approachmentioning

confidence: 99%

Simulation of black carbon in snow and its climate impact in the Canadian Global Climate Model

2015

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Abstract.A new physically based parameterisation of black carbon (BC) in snow was developed and implemented in the Canadian Atmospheric Global Climate Model (CanAM4.2). Simulated BC snow mixing ratios and BC snow radiative forcings are in good agreement with measurements and results from other models. Simulations with the improved model yield considerable trends in regional BC concentrations in snow and BC snow radiative forcings during the time period from 1950-1959 to 2000-2009. Increases in radiative forcings for Asia and decreases for Europe and North America are found to be associated with changes in BC emissions. Additional sensitivity simulations were performed in order to study the impact of BC emission changes between 1950-1959 and 2000-2009 on surface albedo, snow cover fraction, and surface air temperature. Results from these simulations indicate that impacts of BC emission changes on snow albedos between these 2 decades are small and not significant. Overall, changes in BC concentrations in snow have much smaller impacts on the cryosphere than the net warming surface air temperatures during the second half of the 20th century.

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Simulation of mineral dust aerosol with Piecewise Log-normal Approximation (PLA) in CanAM4-PAM

Cited by 29 publications

References 91 publications

A process‐oriented evaluation of dust emission parameterizations in CESM: Simulation of a typical severe dust storm in East Asia

A process‐oriented evaluation of dust emission parameterizations in CESM: Simulation of a typical severe dust storm in East Asia

Analysis and evaluation of the global aerosol optical properties simulated by an online aerosol-coupled non-hydrostatic icosahedral atmospheric model

Simulation of black carbon in snow and its climate impact in the Canadian Global Climate Model

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