Mei, S.;                     You, W.;                     Zhong, W.;                     Zang, Z.;                     Guo, J.;                     Xiang, Q.    
        Optimizing the Numerical Simulation of the Dust Event of March 2021: Integrating Aerosol Observations through Multi-Scale 3D Variational Assimilation in the WRF-Chem Model. Remote Sens. 2024, 16, 1852.
    https://doi.org/10.3390/rs16111852
    AMA Style
    
                                Mei S,                                 You W,                                 Zhong W,                                 Zang Z,                                 Guo J,                                 Xiang Q.        
                Optimizing the Numerical Simulation of the Dust Event of March 2021: Integrating Aerosol Observations through Multi-Scale 3D Variational Assimilation in the WRF-Chem Model. Remote Sensing. 2024; 16(11):1852.
        https://doi.org/10.3390/rs16111852
    
    Chicago/Turabian Style
    
                                Mei, Shuang,                                 Wei You,                                 Wei Zhong,                                 Zengliang Zang,                                 Jianping Guo,                                 and Qiangyue Xiang.        
                2024. "Optimizing the Numerical Simulation of the Dust Event of March 2021: Integrating Aerosol Observations through Multi-Scale 3D Variational Assimilation in the WRF-Chem Model" Remote Sensing 16, no. 11: 1852.
        https://doi.org/10.3390/rs16111852
    
    APA Style
    
                                Mei, S.,                                 You, W.,                                 Zhong, W.,                                 Zang, Z.,                                 Guo, J.,                                 & Xiang, Q.        
        
        (2024). Optimizing the Numerical Simulation of the Dust Event of March 2021: Integrating Aerosol Observations through Multi-Scale 3D Variational Assimilation in the WRF-Chem Model. Remote Sensing, 16(11), 1852.
        https://doi.org/10.3390/rs16111852