利用 FY-3A 数据进行陆地气溶胶光学深度检索及其在尘埃监测中的应用

L. Mei, Yong Xue, J. Guang, Yingjie Li, Ying Wang, Hui Xu, Xingwei He, Shuzheng Jiang, Xijuan Jiao, Ziqiang Chen, Jianwen Ai
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引用次数: 1

摘要

风云三号甲(FY3A)等极轨卫星提供的气溶胶光学深度(AOD)产品精度有限,尤其是在陆地上空,因为很难区分地表反射的观测信号与明亮地表气溶胶散射和吸收的观测信号。本文提出了一种利用风云三号大气探测仪(FY-3A)和中分辨率成像分光仪(MODIS)数据协同作用的方法。得出的 AOD 与气溶胶机器人网络(AERONET)观测数据相比,绝对误差约为 0.1,R2 为 0.77。此外,2010 年 3 月下旬在蒙古发生了一次沙尘事件;通过使用 HYbrid 单粒子拉格朗日综合轨迹(HYSPLIT)模式和气象参数,我们分析了这次事件的平流和扩散、其对事件的传输效应及其影响。我们的数据表明,在燃烧阶段,AOD 升高到 2.0,然后恢复到正常值(0.2- 0.5),气溶胶的性质多种多样,包括 AOD 和气溶胶类型或来源,具有垂直分布差异,完全符合传输过程。这种方法应在 FY 系列卫星上广泛使用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Aerosol optical depth retrieval over land using FY-3A data and its application in dust monitoring
The accuracy of aerosol optical depth (AOD) products from polar-orbit satellites such as FengYun-3A (FY3A) is limited, especially over land because it is hard to discriminate the contribution of the observed signal reflected by the surface from the one scattered and absorbed by the aerosols over bright surface. In this paper, an approach by exploiting the synergy of FengYun-3A (FY-3A) and Moderate Resolution Imaging Spectroradiometer (MODIS) data were presented. The derived AOD compared to Aerosol Robotic Network (AERONET) observation and retrieval absolute error around 0.1 is found, with R2 of 0.77. Moreover, a dust episode was presented in Mongolia on late March, 2010.; By using HYbrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) mode as well as the meteorological parameters, we analyzed the advection and dispersion of this event, its transport effect for the episode and its influence. Our data demonstrated that AOD increased up to 2.0 during the burning phase and then returned to normal values (0.2- 0.5), and the aerosol properties various, including both the AOD and aerosol type or source, which has a vertical distribution difference, fully in line with transport process. This method should be wildly used on FY series satellite.
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