Long-range transport impact of a severe dust storm over the Yangtze River Basin region and its modeling sensitivity to dust emission scheme

被引:0
作者
Idrissa, Nkurunziza Fabien [1 ,2 ]
Zhao, Chun [1 ]
Hu, Zhiyuan [3 ,4 ,5 ]
Feng, Jiawang [1 ]
Du, Qiuyan [1 ]
机构
[1] Univ Sci & Technol China, Sch Earth & Space Sci, Hefei 230026, Peoples R China
[2] Univ Rwanda UR, Sch Publ Hlth, Environm Hlth Sci Dept, Kigali, Rwanda
[3] Sun Yat Sen Univ, Sch Atmospher Sci, Zhuhai 519082, Peoples R China
[4] Sun Yat Sen Univ, Key Lab Trop Atmosphere Ocean Syst, Minist Educ, Zhuhai 519082, Peoples R China
[5] Southern Marine Sci & Engn Guangdong Lab, Zhuhai 519082, Peoples R China
基金
中国国家自然科学基金;
关键词
Dust storm; WRF-Chem model; Dust emission scheme; ASIAN DUST; MINERAL DUST; EAST-ASIA; PACIFIC TRANSPORT; NORTHERN CHINA; MASS-BALANCE; AEROSOLS; SIMULATION; EVENTS; SYSTEM;
D O I
10.1016/j.atmosres.2024.107612
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
Dust storms frequently occur in the spring over East Asia, affecting southern Mongolia and northeast China. An exceptionally powerful dust storm occurred in East Asia from March 14th to March 18th, 2021. To investigate the ability of climate models to simulate severe dust storms, we employed the Weather Research Forecast model coupled with chemistry (WRF-Chem) with Goddard Chemistry Aerosol Radiation and Transport (GOCART), SHAO and KOK dust emission schemes to simulate the evolution of this event and to characterize dust aerosols long-range transport. Results showed that this storm was caused by a Mongolian cyclone depicted at 850 hPa with a cold front, which swept dust aerosols southeastward across southern Mongolia to northeast China. Model evaluation with satellite-retrieved Aerosol Optical Depth (AOD) and observational PM10 concentrations revealed that the SHAO dust emission scheme performed better in simulating spatial and temporal distribution of AOD over the Gobi Desert (GD) but overestimated them over Taklimakan Desert (TD). In contrast, the GOCART dust emission scheme underestimated AOD over most areas except the Taklimakan Desert; the KOK dust emission scheme overestimated them over both TD and GD. Overall, the SHAO dust emission scheme had good performance in simulating the surface PM10 concentrations over the Yangtze River Basin (YRB) and depicted an increase in PM10 10 concentrations, which denoted the transport of dust aerosols over YRB. As a better description of the physical process of dust emission flux over the eastern region of the Gobi Desert, the SHAO dust emission scheme depicted well the spatial and temporal evolution of dust plume episodes, especially over northeast China and YRB. The significant differences in dust emission fluxes between the three dust emission schemes were attributed to the sensitivity of threshold friction velocity and erodibility factor. Thereunto, the SHAO dust emission scheme incorporated well soil particle size distribution and threshold velocity to produce the dust emission flux, which allowed higher dust emission flux over the eastern GD and under strong southwesterly transported dust aerosols to East Central China's region of North China Plain (NCP) and YRB. This study will help further the simulation of extreme dust events more accurately and the exploration of climate change's effect on dust events over East Asia.
引用
收藏
页数:15
相关论文
共 91 条
  • [31] 2
  • [32] Modeling a typical winter-time dust event over the Arabian Peninsula and the Red Sea
    Kalenderski, S.
    Stenchikov, G.
    Zhao, C.
    [J]. ATMOSPHERIC CHEMISTRY AND PHYSICS, 2013, 13 (04) : 1999 - 2014
  • [33] Long-term trends of dust events over Tibetan Plateau during 1961-2010
    Kang, Litai
    Huang, Jianping
    Chen, Siyu
    Wang, Xin
    [J]. ATMOSPHERIC ENVIRONMENT, 2016, 125 : 188 - 198
  • [34] Operational remote sensing of tropospheric aerosol over land from EOS moderate resolution imaging spectroradiometer
    Kaufman, YJ
    Tanre, D
    Remer, LA
    Vermote, EF
    Chu, A
    Holben, BN
    [J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 1997, 102 (D14) : 17051 - 17067
  • [35] An improved dust emission model - Part 1: Model description and comparison against measurements
    Kok, J. F.
    Mahowald, N. M.
    Fratini, G.
    Gillies, J. A.
    Ishizuka, M.
    Leys, J. F.
    Mikami, M.
    Park, M. -S.
    Park, S. -U.
    Van Pelt, R. S.
    Zobeck, T. M.
    [J]. ATMOSPHERIC CHEMISTRY AND PHYSICS, 2014, 14 (23) : 13023 - 13041
  • [36] Threshold wind speed for dust emission in east Asia and its seasonal variations
    Kurosaki, Y.
    Mikami, M.
    [J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2007, 112 (D17)
  • [37] Long-Range Transport of a Dust Event and Impact on Marine Chlorophyll-a Concentration in April 2023
    Li, Yundan
    Wang, Wencai
    [J]. REMOTE SENSING, 2024, 16 (11)
  • [38] Impact of COVID-19 emission reduction on dust aerosols and marine chlorophyll-a concentration
    Li, Yundan
    Wang, Wencai
    Han, Yongqing
    Liu, Wenjing
    Wang, Ronghao
    Zhang, Ruonan
    Zhao, Zhixin
    Sheng, Lifang
    Zhou, Yang
    [J]. SCIENCE OF THE TOTAL ENVIRONMENT, 2024, 918
  • [39] Li ZQ, 2011, NAT GEOSCI, V4, P888, DOI [10.1038/ngeo1313, 10.1038/NGEO1313]
  • [40] Revealing the dust transport processes of the 2021 mega dust storm event in northern China
    Liang, Peng
    Chen, Bo
    Yang, Xiaoping
    Liu, Qianqian
    Li, Airui
    Mackenzie, Lydia
    Zhang, Deguo
    [J]. SCIENCE BULLETIN, 2022, 67 (01) : 21 - 24