the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Radiative cooling and atmospheric perturbation effects of dust aerosol from the Aralkum Desert in Central Asia
Abstract. The Aralkum is a new desert created by the desiccation of the Aral Sea since the 1960s, and is an efficient source of dust aerosol which may perturb the regional Central Asian radiation balance. COSMO-MUSCAT model simulations are used to quantify the direct radiative effects (DREs) of Aralkum dust, and investigate the associated perturbations to the atmospheric environment. Considering scenarios of ‘Past’ and ‘Present’ defined by differences in surface water coverage, it is found that in the Present scenario the yearly mean net surface DRE across the Aralkum is -1.34±6.19 W m-2, of which -0.15±1.19 W m-2 comes from dust emitted by the Aralkum. Meanwhile in the atmosphere the yearly mean DRE is -0.62±2.91 W m-2, of which -0.05±0.51 W m-2 comes from Aralkum dust: on the yearly timescale Aralkum dust is cooling both at the surface and in the atmosphere. The daytime surface cooling effect (solar zenith angle ≲70–80°) outweighs both the nighttime heating effect and the corresponding atmospheric daytime (solar zenith angle ≲60–70°) heating and nighttime cooling effects. Instantaneous Aralkum dust DREs contribute up to -116 W m-2 of surface cooling and +54 W m-2 of atmospheric heating. Aralkum dust perturbs the surface pressure in the vicinity of the Aralkum by up to +0.76 Pa on the monthly timescale, implying a strengthening of the Siberian High in winter and a weakening of the Central Asian Heat Low in summer.
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RC1: 'Comment on egusphere-2023-2772', Anonymous Referee #1, 27 Feb 2024
reply
General comments:
Using COSMO-MUSCAT model, the manuscript quantified the DRE of Aralkum dust, and investigates the climate perturbations to the atmospheric environment from Aralkum dusts. Their results are interesting for evaluation of radiative forcing of regional dusts (dust emitted by the Aralkum) and understanding the climate perturbations. Several points of the manuscript still need to be improved before accepted. Specifically, Aralkum dust is cooling both at the surface and in the atmosphere, which is different from many previous studies for cooling the atmosphere. Therefore, the manuscript needs to make major revisions before their paper is considered acceptable. Please see the following comments.
Main comments:
1, in the Abstract, the yearly mean net surface DRE is -1.34±6.19 W m-2, the mean value is -1.34 W m-2, what is meaning of standard deviations for ±6.19? Is it for daily, monthly, or year? The authors should claim the meaning of standard deviations. If the values represent the monthly variations, it is interesting to show the monthly variations of DRE (e.g., which month for largest and smallest value) and the corresponding dust burden or DOD.
2, The authors claimed that in the atmosphere the yearly mean DRE is -0.62±2.91W m−2, of which -0.05±0.51W m−2 comes from Aralkum dust: on the yearly timescale Aralkum dust is cooling both at the surface and in the atmosphere. However, many previous studies show that dust aerosols can warm the atmosphere effectively at the dust layer (Miller et al., 2014; Albani et al., 2014; Scanza et al., 2015; Xie et al., 2018). I think the authors should focus on analyzing these differences between these two results and summarized these reasons.
3, The authors also show that dust aerosols decrease the cloud cover through semi-direct effects in the atmosphere. It is noted that dust aerosols indirectly act as ice nucleating particles to increase the ice or mixed-phase clouds and affect global and regional climate (e.g., DeMott et al., 2010; Tan et al., 2016). The author should add the corresponding content.
References
Albani, S., Mahowald, N. M., Perry, A. T., Scanza, R. A., Zender, C. S., Heavens, N. G., et al. (2014). Improved dust representation in the Community Atmosphere Model. Journal of Advances in Modeling Earth Systems, 6, 541–570. https://doi.org/10.1002/2013MS000279
DeMott P J et al 2010 Predicting global atmospheric ice nuclei distributions and their impacts on climate Proc. Natl. Acad. Sci. U.S.A. 107(25) 11,217-11,222
Miller, R. L., Knippertz, P., Pérez García-Pando, C., Perlwitz, J. P., and Tegen, I. (2014). Impact of Dust Radiative Forcing upon Climate. In: Knippertz, P., Stuut, J. B. (eds) Mineral Dust. Springer, Dordrecht.
Xie, X., Liu, X., Che, H., Xie, X., Wang, H., Li, J., et al. (2018). Modeling East Asian dust and its radiative feedbacks in CAM4-BAM. Journal of Geophysical Research: Atmospheres, 123, 1079–1096. https://doi.org/10.1002/2017JD027343
Scanza, R. A., et al. (2015). Modeling dust as component minerals in the Community Atmosphere Model: development of framework and impact on radiative forcing. Atmos. Chem. Phys., 15, 537–561, doi:10.5194/acp-15-537-2015
Tan I, Storelvmo T and Zelinka M D 2016 Observational constraints on mixed-phase clouds imply higher climate sensitivity Science 352(6282) 224-227
Citation: https://doi.org/10.5194/egusphere-2023-2772-RC1 -
RC2: 'Comment on egusphere-2023-2772', Anonymous Referee #1, 27 Feb 2024
reply
General comments:
Using COSMO-MUSCAT model, the manuscript quantified the DRE of Aralkum dust, and investigates the climate perturbations to the atmospheric environment from Aralkum dusts. Their results are interesting for evaluation of radiative forcing of regional dusts (dust emitted by the Aralkum) and understanding the climate perturbations. Several points of the manuscript still need to be improved before accepted. Specifically, Aralkum dust is cooling both at the surface and in the atmosphere, which is different from many previous studies for cooling the atmosphere. Therefore, the manuscript needs to make major revisions before their paper is considered acceptable. Please see the following comments.
Main comments:
1, in the Abstract, the yearly mean net surface DRE is -1.34±6.19 W m-2, the mean value is -1.34 W m-2, what is meaning of standard deviations for ±6.19? Is it for daily, monthly, or year? The authors should claim the meaning of standard deviations. If the values represent the monthly variations, it is interesting to show the monthly variations of DRE (e.g., which month for largest and smallest value) and the corresponding dust burden or DOD.
2, The authors claimed that in the atmosphere the yearly mean DRE is -0.62±2.91W m−2, of which -0.05±0.51W m−2 comes from Aralkum dust: on the yearly timescale Aralkum dust is cooling both at the surface and in the atmosphere. However, many previous studies show that dust aerosols can warm the atmosphere effectively at the dust layer (Miller et al., 2014; Albani et al., 2014; Scanza et al., 2015; Xie et al., 2018). I think the authors should focus on analyzing these differences between these two results and summarized these reasons.
3, The authors also show that dust aerosols decrease the cloud cover through semi-direct effects in the atmosphere. It is noted that dust aerosols indirectly act as ice nucleating particles to increase the ice or mixed-phase clouds and affect global and regional climate (e.g., DeMott et al., 2010; Tan et al., 2016). The author should add the corresponding content.
References
Albani, S., Mahowald, N. M., Perry, A. T., Scanza, R. A., Zender, C. S., Heavens, N. G., et al. (2014). Improved dust representation in the Community Atmosphere Model. Journal of Advances in Modeling Earth Systems, 6, 541–570. https://doi.org/10.1002/2013MS000279
DeMott P J et al 2010 Predicting global atmospheric ice nuclei distributions and their impacts on climate Proc. Natl. Acad. Sci. U.S.A. 107(25) 11,217-11,222
Miller, R. L., Knippertz, P., Pérez García-Pando, C., Perlwitz, J. P., and Tegen, I. (2014). Impact of Dust Radiative Forcing upon Climate. In: Knippertz, P., Stuut, J. B. (eds) Mineral Dust. Springer, Dordrecht.
Xie, X., Liu, X., Che, H., Xie, X., Wang, H., Li, J., et al. (2018). Modeling East Asian dust and its radiative feedbacks in CAM4-BAM. Journal of Geophysical Research: Atmospheres, 123, 1079–1096. https://doi.org/10.1002/2017JD027343
Scanza, R. A., et al. (2015). Modeling dust as component minerals in the Community Atmosphere Model: development of framework and impact on radiative forcing. Atmos. Chem. Phys., 15, 537–561, doi:10.5194/acp-15-537-2015
Tan I, Storelvmo T and Zelinka M D 2016 Observational constraints on mixed-phase clouds imply higher climate sensitivity Science 352(6282) 224-227
Citation: https://doi.org/10.5194/egusphere-2023-2772-RC2
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