2018
DOI: 10.1016/j.atmosenv.2018.03.050
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Temporal and spatial characteristics of dust devils and their contribution to the aerosol budget in East Asia—An analysis using a new parameterization scheme for dust devils

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Cited by 15 publications
(14 citation statements)
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“…Considering a possible overestimation of ambient dust emission and the potential to improve the considered region which are relevant for dust emission by dust devils (see Appendix A), the contribution could increase further. A contribution of 5% is significantly less than previous regional estimates of about 30%-50% that were based on observational data and/or large-scale modeling (Han et al, 2016;Pan et al, 2021;Tang et al, 2018), but it is significantly higher than the only existing estimate based on LES (0.03%-0.19% for Australia, Klose & Shao, 2016). Reasons for these deviations are diverse.…”
Section: Contribution By Dust Devilsmentioning
confidence: 65%
See 1 more Smart Citation
“…Considering a possible overestimation of ambient dust emission and the potential to improve the considered region which are relevant for dust emission by dust devils (see Appendix A), the contribution could increase further. A contribution of 5% is significantly less than previous regional estimates of about 30%-50% that were based on observational data and/or large-scale modeling (Han et al, 2016;Pan et al, 2021;Tang et al, 2018), but it is significantly higher than the only existing estimate based on LES (0.03%-0.19% for Australia, Klose & Shao, 2016). Reasons for these deviations are diverse.…”
Section: Contribution By Dust Devilsmentioning
confidence: 65%
“…Regional estimates based on the numerical Weather Research and Forecast (WRF) model, thermodynamic theory, and measurements vary between 38% for North Africa (Pan et al., 2021) and up to 53% for Western China (Han et al., 2016). Numerical simulations with the WRF Chemistry (WRF‐Chem) model coupled with a new parameterization scheme for dust devils revealed a contribution in East Asia between 17.4% and 43.4% (Tang et al., 2018). Employing LES instead of large‐scale weather prediction models, Klose and Shao (2016) estimated a regional contribution for Australia in the range of 0.03%–0.19%.…”
Section: Introductionmentioning
confidence: 99%
“…Tang et al. (2018) established a new parameterization scheme coupled with WRF‐Chem Model and found that dust devils contributed about 30.4 ± 13% to atmospheric dust aerosols in East Asia. By combining observed meteorological data and estimation model, Ma et al.…”
Section: Introductionmentioning
confidence: 99%
“…Han et al (2016) estimated that dust devils contributed 53% to the total annual desert dust in western China based on satellite and Lidar observations. Tang et al (2018) established a new parameterization scheme coupled with WRF-Chem Model and found that dust devils contributed about 30.4 ± 13% to atmospheric dust aerosols in East Asia. By combining observed meteorological data and estimation model, Ma et al (2020) gave an estimate of 46.5% for the same region.…”
mentioning
confidence: 99%
“…Teixeira et al [30] used WRF-Chem to investigate its sensitivity to vertical resolution during a 22-23 June 2012 dust event over North Africa; results indicated that the model was able to transport particles from the ground to higher layers. Tang et al [31] examined the spatial and temporal characteristics of dust events and their contribution to the budget of aerosols in Eastern Asia, using WRF-Chem and a parametric tool for dust analysis. The results showed that dust loadings peaked in the afternoon and in summer.…”
Section: Introductionmentioning
confidence: 99%