A minimum albedo aerosol retrieval method for the new-generation geostationary meteorological satellite Himawari-8

A minimum albedo aerosol retrieval method for the new-generation geostationary meteorological satellite Himawari-8
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新一代静止气象卫星向日八号最小反照率气溶胶反演方法

DOI:
10.1016/j.atmosres.2018.02.021
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发表时间:
2018-07
影响因子:
5.5
通讯作者:
Jin Jiannan
Jin Jiannan
中科院分区:
地球科学1区
文献类型:
--
作者:
Yan Xing;Li Zhanqing;Luo Nana;Shi Wenzhong;Zhao Wenji;Yang Xingchuan;Jin Jiannan

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气溶胶特性,包括气溶胶光学厚度(AOT)和精细模式分数(FMF),是重要的物理数据,是气候研究的基础。基于新一代静止气象卫星向日葵八号,开发了气溶胶最小反照率反演方法(MAARM)。该方法基于直接从Himawari-8获得的反照率数据,可以成功地直接输出AOT、FMF和Ångström指数(AE)。作为 MAARM 的一部分,提出了一种修正的辐射传输方程,该方程考虑了气溶胶多重散射的影响。通过与太阳光谱(6S)辐射传输代码中卫星信号第二次模拟的输出进行比较,修改后的辐射传输方程实现了气溶胶反射率计算的高精度(~5%)。 2016 年北京及其周边地区三个站点的气溶胶机器人网络 (AERONET) 数据用于验证 MAARM 气溶胶反演。北京站、中国气象科学研究院 (CAMS) 站和香河 AERONET 站的 AOT 推导值分别有 57%、57% 和 56% 落在估计误差范围内。此外,36% (58%) 的 MAARM 衍生 FMF 值落在 ±10%AERONET FMF 包络线(±25%AERONET FMF 包络线)内。总体而言,与 Himawari-8 标准气溶胶属性检索相比,MAARM 在检索 AOT、FMF 和 AE 方面取得了改进;然而,在确定 FMF 和 AE 方面仍然明显缺乏技能,目前不建议使用 MAARM 检索中的它们。鉴于 Himawari-8 卫星以 10 分钟为间隔进行观测,MAARM 能够以高时间分辨率监测 AOT 的空间分布和变化。
Aerosol properties, including aerosol optical thickness (AOT) and fine-mode fraction (FMF), are important physical data and are fundamental for climate studies. A minimum albedo aerosol retrieval method (MAARM) was developed for the retrieval of aerosol properties based on the new-generation geostationary meteorological satellite Himawari-8. This method is based on the albedo data which is directly obtained from the Himawari-8 and can successfully output AOT, FMF, and the Ångström exponent (AE) directly. As part of the MAARM, a modified radiative transfer equation was proposed that considers the impact of aerosol multiple scattering. Through comparisons with output from the Second Simulation of a Satellite Signal in the Solar Spectrum (6S) radiative transfer code, the modified radiative transfer equation achieved a high accuracy for the aerosol reflectance calculation (~5%). Aerosol Robotic Network (AERONET) data from three sites in Beijing and its surrounding area for the year 2016 were used to validate MAARM aerosol retrievals. Fifty-seven percent, 57%, and 56% of derived AOT values fell within the estimated error envelope at the Beijing, the Chinese Academy of Meteorological Sciences (CAMS), and Xianghe AERONET stations, respectively. In addition, 36% (58%) of MAARM-derived FMF values fell within the ±10%AERONET FMF envelope (the ±25%AERONET FMF envelope). Overall, an improvement was achieved by the MAARM in retrieving AOT, FMF, and AE compared with Himawari-8 standard aerosol property retrievals; however, there remains a distinct lack of skills in determining FMF and AE and their use from the MAARM retrieval is not recommended at this time. Given that the Himawari-8 satellite provides observations at 10-min intervals, the MAARM is capable of monitoring the spatial distribution of and variation in AOT with a high temporal resolution.
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