State Key Laboratory of Information Engineering in Surveying, Mapping and Remote-sensing, Wuhan University, China.
State Key Laboratory of Information Engineering in Surveying, Mapping and Remote-sensing, Wuhan University, China.
Sci Total Environ. 2021 Feb 25;757:143784. doi: 10.1016/j.scitotenv.2020.143784. Epub 2020 Nov 16.
The ability for remote-sensing sensors and global/regional models to describe aerosol optical properties (AOPs) is critical to reducing the uncertainty in aerosol radiative forcing associated with climate change, and improving model prediction accuracy. In this study, remote-sensing observations and WRF-Chem simulations were used to evaluate AOPs over Eastern China during a severe winter haze event, in terms of aerosol optical depth (AOD), Ångström exponent (AE) and aerosol extinction profiles (AEP). This study also characterizes whether the inclusion of aerosol radiative feedbacks (ARFs) may improve the ability of WRF-Chem to acquire AOPs during haze episodes. Three simulation scenarios were considered: the non-radiation feedback (NRF), aerosol direct effect (ADE), as well as combined ADE and aerosol indirect effect (ADE + AIE). The results indicate that the satellite AOD products could represent the spatiotemporal distribution characteristics of the haze event. The AOD retrieved by the MODIS C6.1 DB algorithm was highly consistent with ground-based observations. A comparison between simulations and observations demonstrated that WRF-Chem, including the ADE or ADE + AIE scheme, may improve AOPs simulation in heavily polluted areas. The most significant improvements occurred in the Sichuan basin (SB) and North China Plain (NCP) (AOD = 50-70%; AE = 10-20%). In particular, the ADE + AIE scheme was the most obvious for AOD improvement, followed by AE. The AEP was also qualitatively analyzed through simulations and observations, and the result showed that the model overestimates aerosol extinction coefficients in NCP. However, the model is still able to represent the entire AEP contour over East China. Similar to AOD and AE, the model can also improve AEP simulation by adding ADE or ADE + AIE scheme, especially in SB. In summary, it is found that the ability of WRF-Chem to simulate the AOPs was significantly enhanced, particularly for regions loading with heavy aerosol during haze events in Eastern China.
遥感传感器和全球/区域模型对气溶胶光学特性(AOPs)的描述能力对于降低与气候变化相关的气溶胶辐射强迫不确定性和提高模型预测精度至关重要。本研究利用遥感观测和 WRF-Chem 模拟,评估了中国东部一次严重冬季霾事件期间的气溶胶光学深度(AOD)、Angstrom 指数(AE)和气溶胶消光廓线(AEP)。本研究还探讨了是否包含气溶胶辐射反馈(ARFs)可以提高 WRF-Chem 在霾事件期间获取 AOPs 的能力。考虑了三种模拟情景:非辐射反馈(NRF)、气溶胶直接效应(ADE)以及 ADE 和气溶胶间接效应的组合(ADE+AIE)。结果表明,卫星 AOD 产品能够代表霾事件的时空分布特征。MODIS C6.1 DB 算法反演的 AOD 与地面观测高度一致。模拟与观测的比较表明,包括 ADE 或 ADE+AIE 方案的 WRF-Chem 可以改善重污染地区的 AOPs 模拟。在四川盆地(SB)和华北平原(NCP),改进最为显著(AOD=50-70%;AE=10-20%)。特别是 ADE+AIE 方案对 AOD 的改善最为明显,其次是 AE。通过模拟和观测对 AEP 进行了定性分析,结果表明,模型高估了 NCP 的气溶胶消光系数。然而,模型仍能够代表整个华东地区的 AEP 轮廓。与 AOD 和 AE 类似,通过添加 ADE 或 ADE+AIE 方案,模型也可以改善 AEP 模拟,尤其是在 SB。总之,发现 WRF-Chem 模拟 AOPs 的能力得到了显著提高,特别是在中国东部发生霾事件时,对重气溶胶加载区域的模拟能力得到了显著提高。