Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1016/j.atmosres.2020.105063 |
Improvement of snow/haze confusion data gaps in MODIS Dark Target aerosol retrievals in East China | |
Xiao Zhang, Hong Wang, Hui-Zheng Che, Sai-Chun Tan, ... Hu-Jia Zhao | |
2020-05-30 | |
发表期刊 | Atmospheric Research
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出版年 | 2020 |
英文摘要 | The MODerate resolution Imaging Spectroradiometer (MODIS) is one of the most widely used meteorological remote sensing instruments. Its Dark Target aerosol optical depth (AOD) product has been widely used in environment and meteorology researches, such as model evaluation and data assimilation. However, this product has a low coverage under conditions of heavy haze in China. This is because the haze can be misidentified as snow under some circumstances by the algorithm and therefore rejected, leading to large-scale data omission. In the most polluted regions, misidentified snow cover exceeded 8%. Regarding this issue, a new method combining the snow mask derived from the MODIS cloud mask product and Fisher discrimination analysis was developed to give a more accurate identification of snow and ice cover. Applying this new method increases the AOD data coverage significantly. Comparisons with AOD values from ground-based observations showed that the newly produced data under haze conditions had a similar accuracy with the original data in the MODIS AOD product. Because the newly supplemented data are more distributed at the seriously polluted regions, the average AOD increased significantly after data filling in many regions. In winter, AOD in the most severely polluted regions (average air quality index >130) increased by 0.2–0.3 after improvement, about 30–50% of the original value. In 49 haze cases with large-scale pollution, the increase reached 0.3–0.6, about 50%–70% of the original value. During the haze episodes, the data omission led to an underestimation of the regional average AOD by 19–40%. The improvement in AOD coverage helps to provide a better reflection of the air pollution condition in East China through the perspective of AOD. |
领域 | 地球科学 |
URL | 查看原文 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/271574 |
专题 | 地球科学 |
推荐引用方式 GB/T 7714 | Xiao Zhang, Hong Wang, Hui-Zheng Che, Sai-Chun Tan, ... Hu-Jia Zhao. Improvement of snow/haze confusion data gaps in MODIS Dark Target aerosol retrievals in East China[J]. Atmospheric Research,2020. |
APA | Xiao Zhang, Hong Wang, Hui-Zheng Che, Sai-Chun Tan, ... Hu-Jia Zhao.(2020).Improvement of snow/haze confusion data gaps in MODIS Dark Target aerosol retrievals in East China.Atmospheric Research. |
MLA | Xiao Zhang, Hong Wang, Hui-Zheng Che, Sai-Chun Tan, ... Hu-Jia Zhao."Improvement of snow/haze confusion data gaps in MODIS Dark Target aerosol retrievals in East China".Atmospheric Research (2020). |
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