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全文摘要次数: 1614 全文下载次数: 1630
引用本文:

DOI:

10.11834/jrs.20210286

收稿日期:

2020-07-16

修改日期:

2020-09-29

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风云三号D星MERSI-II陆地气溶胶反演定量能力初测
杨磊库1, 胡秀清2, 王涵1, 何兴伟2, 刘培1, 徐娜2, 杨忠东2, 张鹏2
1.河南理工大学;2.国家卫星气象中心
摘要:

我国风云三号卫星搭载的中分辨率光谱成像仪(MEdium-Resolution Spectral Imager,MERSI)与NASA的MODIS属于同类型传感器,大多数通道设计相似,具备气溶胶反演的能力,但目前还没有精度可靠、稳定且全球适用的业务化气溶胶产品可供使用。本文借鉴MODIS暗目标(Dark target, DT)算法思想,针对新发射的风云三号D星搭载的升级版MERSI-II传感器,构建全球适用的陆地气溶胶反演算法。为测试MERSI-II传感器气溶胶反演的定量能力,并与MODIS气溶胶产品具有可对比性,本文算法设计尽可能与DT算法在各方面处理相一致,主要在两个方面进行了改进与优化:1)考虑到传感器波段设置差异,给出了针对MERSI-II的地表反射率估计模型;2)改进内陆水体判别方法,解决DT算法雾霾漏反演的缺陷。通过将单景反演结果通过与MODIS气溶胶产品对比,反演结果的空间分布和值域大小均具有较好的一致性,相关系数达到0.9以上;有效地实现雾霾高值区反演,而MODIS产品在该区域漏反演。通过对三个月份全球数据反演试验,利用AERONET地基站网观测数据对结果进行验证,落入期望误差EE=±(0.05+0.15τ)范围的点数达到65.14%,接近2/3的要求,相关系数达到0.866,整体具有较高的验证精度;MERSI幅宽大于MODIS,加之本文像元掩膜的改进,使得MERSI反演像元数增加更多,匹配的验证点比例较MODIS高出20%左右。进一步将月平均结果与MODIS进行对比,空间分布一致性较好,反演结果大小对比相关性较好,相关系数达到0.93左右。表明本文针对MERSI-II气溶胶反演算法结果已接近国际同类型产品的精度要求,将对全球长时间序列气溶胶观测有提供要补充。从而印证了MERSI观测数据已具有较好的定量应用能力,传感器性能、定标等正在逐渐走向成熟。

Preliminary test of quantitative capability in aerosol retrieval over land from MERSI-II onboard Fengyun-3D
Abstract:

The MEdium-Resolution Spectral Imager (MERSI) carried by Chinese Fengyun-3(FY-3) satellite belongs to the same type of sensor as MODIS of NASA. Most channels of MERSI are similar in design as MODIS and capable for aerosol retrieval. However, there is no reliable, stable and globally applicable operational products for MERSI. Based on MODIS dark target algorithm (DT), this paper constructs a global applicable land aerosol retrieval algorithm for the new generation MERSI-II sensor onboard the newly launched FY-3D satellite. The aim of this paper is to test the quantitative capability of the sensor, so the algorithm design is consistent with DT algorithm as far as possible in many aspects. Compared with MODIS DT algorithm, the improvements of this algorithm are mainly in two aspects: surface estimation model and pixel screen. Considering the difference in channel settings between MERSI and MODIS, a surface reflectance estimation model is proposed for MERSI-II. And, the method of inland water mask is improved to solve the defect of DT algorithm in haze leakage retrieval. By comparing granule retrieval of MERSI-II with aerosol products of MODIS, the spatial distribution and magnitude of AOD value have good consistency with correlation coefficient above 0.9. After improving the identification method of inland water mask, the high aerosol loading of haze region where missing in MODIS aerosol product, has been successfully retrieved from MERSI-II in this paper. Finally, we have conducted the retrieval test with three-month global observation of MERSI-II. Comparing the retrieval results with ground-based observation of AERONET, the overall accuracy of validation is good with which correlation coefficient of scatterplots reaches 0.866. And, the number of collocated points falling into the expected error EE = ± (0.05 + 0.15 τ) reaches 65.14% which close to the requirement of 2/3. The larger width of MERSI than that of MODIS, in addition to the improvement of pixel mask, makes the number of MERSI retrieved pixels more. And the proportion of matching collocation points is about 20% more than that of MODIS. Furthermore, comparing the monthly average results of MERSI-II with MODIS, the spatial distribution consistency of is good, and the magnitude of AOD value have good correlation with which the correlation coefficient is about 0.93. By conclusion, the results show that the aerosol retrieval from MERSI-II with the algorithm in this paper is close to the present similar products, which will be an important supplement to the global time series aerosol observation. It is confirmed that MERSI has good quantitative application ability, and the sensor performance and calibration are gradually becoming mature.

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