Data Overview

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FY-GeoAIR反演算法 | FY-GeoAIR Retrieval Algorithm

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FY-GeoAIR反演算法由北京大学遥感所曾招城团队研发，主要用于风云卫星红外高光谱的大气成分反演。该算法首先基于辐射传输原理构建了高精度且快速的用于模拟卫星观测的正向模式，其次基于最优化估计理论实现风云卫星GIIRS观测光谱的大气一氧化碳和氨气气体浓度反演。FY-GeoAIR反演算法已经实现了业务化运行。详细算法描述可见AMT文章Zeng et al. (2023)。 The FengYun Geostationary satellite Atmospheric Infrared Retrieval (FY-GeoAIR) algorithm was specifically developed for retrieving trace gases from FY-4B/GIIRS spectra. The algorithm combines a forward radiative transfer model to simulate upwelling thermal radiation and an optimal estimation-based inverse model to retrieve trace gases and auxiliary parameters from the observed spectra. Here, a brief introduction to FY-GeoAIR is given with descriptions of changes needed to adapt it to NH₃ retrieval. More details about the FY-GeoAIR retrieval algorithm can be found in Zeng et al. (2023) published in AMT.

风云四号大气一氧化碳反演产品 | FY4B/GIIRS CO

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数据描述：反演数据产品主要包括目标气体CO的反演廓线、反演误差协方差以及平均核函数(Averaging Kernel matrix)。其他参数包括反演的地表温度、大气温度的廓线校正系数以及地表发射率的校正系数。详细的产品变量描述可见数据用户手册。 Data Description: The retrieval data product includes the retrieved vertical profiles of CO (target gas), the surface skin temperature, a scaling factor for the atmospheric temperature profile, and the slope and curve for the surface emissivity. All a priori information, a posteriori error covariance, and the averaging kenrel matrix are also included. For details, please see the data user guide.

数据下载链接 | Data Download Link

北京大学开放数据平台(示例数据｜Sample data)：https://opendata.pku.edu.cn/dataverse/FYGEOAIR

百度网盘(2022年7月至12月｜All data Jul to Dec 2022)：https://pan.baidu.com/s/15f5LedGElMk5Jc4-S3AfXw [code:e7hp]

数据用户手册(Data User Guide):https://disk.pku.edu.cn/link/AA9BAC485A11E04211B021F211CFCCD70F

参考文献 | Reference: Zeng, Z.-C., Lee, L., and Qi, C.: Diurnal carbon monoxide observed from a geostationary infrared hyperspectral sounder: First result from GIIRS onboard FY-4B, Atmos. Meas. Tech. Discuss. [preprint], https://doi.org/10.5194/amt-2022-305, accepted, 2022.

一氧化碳柱浓度变化影像（每三个月）| Video of retrieved CO columns (every 3-month)

风云四号大气氨气反演产品 | FY4B/GIIRS NH₃

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数据描述：反演数据产品主要包括目标气体NH₃的反演廓线、反演误差协方差以及平均核函数(Averaging Kernel matrix)。其他参数包括反演的地表温度、大气温度的廓线校正系数以及地表发射率的校正系数。详细的产品变量描述可见数据用户手册。 Data Description: The retrieval data product includes the retrieved vertical profiles of NH3 (target gas), the surface skin temperature, a scaling factor for the atmospheric temperature profile, and the slope and curve for the surface emissivity. All a priori information, a posteriori error covariance, and the averaging kenrel matrix are also included. For details, please see the data user guide.

数据下载链接 | Data Download Link

北京大学开放数据平台(示例数据｜Sample data)：https://opendata.pku.edu.cn/dataverse/FYGEOAIR

百度网盘(2022年7月至12月｜All data Jul to Dec 2022)：https://pan.baidu.com/s/1EuAvqiiD5Gofo4bU5Uannw [code:kjag]

数据用户手册(Data User Guide): https://disk.pku.edu.cn/link/AAACFFB3BC8B70443E8F20AEF2BF26029F

参考文献 | Reference: Zeng, Z.-C., Lee, L., Qi, C., M. Van Damme, and L. Clarisse: Optimal estimation retrieval of tropospheric ammonia from the Geostationary Interferometric Infrared Sounder onboard FengYun-4B, Atmos. Meas. Tech. Discuss. [preprint], https://doi.org/10.5194/amt-2023-12, accepted, 2023.

氨气柱浓度变化影像(每三个月) | Video of retrieved NH₃ columns (every 3-month)