河南理工大学杨磊库团队的一项最新研究报道了应用于MERSI-II的暗目标的气溶胶算法：海洋上空气溶胶光学深度的检索和确认。相关论文于2024年5月22日发表在《大气科学进展》杂志上。

据悉，中国风云-3D卫星搭载的中分辨率光谱成像仪-II(MERSI-II)与美国宇航局的中分辨率成像光谱辐射计(MODIS)传感器有相似之处，可以检索全球气溶胶光学深度(AOD)。然而，目前还没有正式发布的在海洋上空可操作的MERSI-II气溶胶产品。

该团队的研究重点是使MODIS暗目标(DT)海洋算法适应MERSI-II传感器。研究人员对2019年全球海洋MERSI数据进行了检索测试，并将检索到的AOD与自动气溶胶机器人网络(AERONET)和船载海洋气溶胶网络(MAN)的地面测量结果进行了验证。现正运作的MODIS DT气溶胶产品亦可以用作比较。结果表明，MERSI-II AOD颗粒反演结果与MODIS产品具有较好的一致性，相关系数(R)高达0.96，空间分布趋势一致。此外，与AERONET和MAN测量结果相比，MERSI-II检索结果表现良好，具有高R值(>0.86)。

然而，与MODIS相比，MERSI-II的低值检索值往往被略微高估，尽管两种AOD都显示出正偏差。值得注意的是，北半球和南半球高纬度地区的每月网格AODs表明，MERSI-II在空间和时间上表现出更大的稳定性，有效地降低了MODIS产品中不切实际的高值噪声。这些结果表明，MERSI-II检索通过保持算法框架和大多数算法假设来满足特定的精度要求，为气溶胶研究和气候变化提供了重要的数据补充。

附：英文原文

Title: Applying the dark target aerosol algorithm to MERSI-II: retrieval and validation of aerosol optical depth over the ocean

Author: Xin Pei, Leiku Yang, Weiqian Ji, Shuang Chen, Xiaoqian Cheng, Xiaofeng Lu, Hongtao Wang

Issue&Volume: 2024-05-22

Abstract: The Medium-Resolution Spectral Imager-II (MERSI-II) instrument aboard China's Fengyun-3D satellite shares similarities with NASA's Moderate Resolution Imaging Spectroradiometer (MODIS) sensor, enabling the retrieval of global aerosol optical depth (AOD). However, there are currently no officially released operational MERSI-II aerosol products over the ocean. This study focuses on adapting the MODIS dark target (DT) ocean algorithm to the MERSI-II sensor. A retrieval test is conducted on the 2019 MERSI data over the global ocean, and the retrieved AODs are validated against ground-based measurements from the automatic Aerosol Robotic Network (AERONET) and the shipborne Maritime Aerosol Network (MAN). The operational MODIS DT aerosol products are also used for comparison purposes. The results show that MERSI-II AOD granule retrievals are in good agreement with MODIS products, boasting high correlation coefficients (R) of up to 0.96 and consistent spatial distribution trends. Furthermore, the MERSI-II retrievals perform well when compared to AERONET and MAN measurements, with high R values (>0.86). However, the low-value retrievals from MERSI-II tend to be slightly overestimated compared to MODIS, despite both AODs displaying a positive bias. Notably, the monthly gridded AODs over the high latitudes of the northern and southern hemispheres suggest that MERSI-II exhibits greater stability in space and time, effectively reducing unrealistically high-value noise in the MODIS products. These results illustrate that the MERSI-II retrievals meet specific accuracy requirements by maintaining the algorithmic framework and most of the algorithmic assumptions, providing a crucial data supplement for aerosol studies and climate change.

DOI: 10.1007/s00376-024-4032-y

Source: http://www.iapjournals.ac.cn/aas/en/article/doi/10.1007/s00376-024-4032-yviewType=HTML