Preprints
https://doi.org/10.5194/gmd-2023-81
https://doi.org/10.5194/gmd-2023-81
Submitted as: development and technical paper
 | 
29 Jun 2023
Submitted as: development and technical paper |  | 29 Jun 2023
Status: this preprint was under review for the journal GMD but the revision was not accepted.

Impacts of dynamic dust sources coupled with WRF-Chem 3.9.1 on the dust simulation over East Asia

Yu Chen, Yue Zhang, Siyu Chen, Ben Yang, Huiping Yan, Jixiang Li, Chao Zhang, Gaotong Lou, Junyan Chen, Lulu Lian, and Chuwei Liu

Abstract. Dust emission refers to the spatial displacement process of soil particles with the influence of wind. The quantitative and accurate description of dust emission is the basis of dust simulation in the modeling. The previous studies always employed static land cover in the numerical models, ignoring dynamic variations in the surface bareness and leading to large uncertainties in the dust simulation. We build six sets of dynamic dust sources functions, which shows a pronounced monthly and annual variability with the influence of seasonal change. Compared that in July, the dynamic dust source in March shows an expanding pattern to the edge of the deserts. Moreover, the dust source function in the Taklimakan Desert and Gobi Desert decrease at an annual rate of 2.42 × 10-4 and 3.06 × 10-4. The Weather Research and Forecasting model coupled to Chemistry (WRF-Chem) coupled with dynamic dust sources can effectively reproduce the spatiotemporal distribution of aerosol within satellite and ground-based observations. Our results show that the surface bareness and topographic characteristics jointly control the spatial distribution and value of dynamic dust sources. Further, the dynamic change of dust source further affects the dust emission and dust cycle. This study highlights the importance of surface bareness and the topographic characteristics on the dynamic dust source, and effectively improves dust cycle simulation over East Asia.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this preprint. The responsibility to include appropriate place names lies with the authors.
Yu Chen, Yue Zhang, Siyu Chen, Ben Yang, Huiping Yan, Jixiang Li, Chao Zhang, Gaotong Lou, Junyan Chen, Lulu Lian, and Chuwei Liu

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • CC1: 'Comment on gmd-2023-81', Sandra LeGrand, 18 Jul 2023
  • RC1: 'Comment on gmd-2023-81', Anonymous Referee #1, 04 Aug 2023
  • RC2: 'Comment on gmd-2023-81', Anonymous Referee #2, 16 Sep 2023
  • AC1: 'Comment on gmd-2023-81', Siyu Chen, 13 Nov 2023

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • CC1: 'Comment on gmd-2023-81', Sandra LeGrand, 18 Jul 2023
  • RC1: 'Comment on gmd-2023-81', Anonymous Referee #1, 04 Aug 2023
  • RC2: 'Comment on gmd-2023-81', Anonymous Referee #2, 16 Sep 2023
  • AC1: 'Comment on gmd-2023-81', Siyu Chen, 13 Nov 2023
Yu Chen, Yue Zhang, Siyu Chen, Ben Yang, Huiping Yan, Jixiang Li, Chao Zhang, Gaotong Lou, Junyan Chen, Lulu Lian, and Chuwei Liu
Yu Chen, Yue Zhang, Siyu Chen, Ben Yang, Huiping Yan, Jixiang Li, Chao Zhang, Gaotong Lou, Junyan Chen, Lulu Lian, and Chuwei Liu

Viewed

Total article views: 665 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
471 161 33 665 32 26 29
  • HTML: 471
  • PDF: 161
  • XML: 33
  • Total: 665
  • Supplement: 32
  • BibTeX: 26
  • EndNote: 29
Views and downloads (calculated since 29 Jun 2023)
Cumulative views and downloads (calculated since 29 Jun 2023)

Viewed (geographical distribution)

Total article views: 634 (including HTML, PDF, and XML) Thereof 634 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 24 Jun 2024
Download
Short summary
The numerical models seriously ignoring the aeolian erosion and dust emission process on the potential sources. Six sets of dynamic dust sources were built by combine surface bareness and topographic feature. Results show that dust sources are closely related to surface exposure and topographic characteristics, which respectively control the spatial distribution and numerical value of dynamic dust sources.