遇见数据集

气象卫星光学仪器初级气候产品数据集-可见光红外扫描辐射计(VIRR)(2000-2019)

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国家对地观测科学数据中心2024-11-14 更新2024-03-04 收录
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基于“气象卫星历史数据再定标和气候数据集构建”课题建立的风云一号(FY-1)和风云三号(FY-1)系列卫星上可见光红外扫描辐射计(VIRR)的基准一致和方法统一的再定标模型和系数,对于原始的卫星地球观测数据进行再定标、定位和质量控制处理,生成气象卫星光学仪器初级气候产品数据集-可见光红外扫描辐射计(VIRR)初级气候产品数据集,数据包括经过太阳天顶角和日地距离订正的太阳反射波段通道观测的归一化大气顶反射率、热发射波段的大气顶辐亮度和亮温,以及地理定位和观测角度等信息,数据集包括FY-1C和FY-1D两颗卫星的全球白天4通道和FY-3A/B/C 全球10通道全时观测轨道数据。相比于业务数据,该数据集在精度和稳定性两方面均明显提升;与参考仪器相比,反射通道定标精度优于5%,发射通道优于0.5K。

Based on the project titled "Re-calibration of Historical Meteorological Satellite Data and Construction of Climate Dataset", uniformly standardized and consistent re-calibration models and coefficients were developed for the Visible and Infrared Scanning Radiometers (VIRR) on the FY-1 and FY-3 series satellites. These models and coefficients are applied to process original satellite Earth observation data via re-calibration, geolocation and quality control, generating the Primary Climate Product Dataset for Meteorological Satellite Optical Instruments, specifically the Visible and Infrared Scanning Radiometer (VIRR) Primary Climate Product Dataset. The dataset contains normalized top-of-atmosphere reflectance of solar reflective band observations corrected by solar zenith angle and Earth-Sun distance, top-of-atmosphere radiance and brightness temperature of thermal emission bands, as well as geolocation and observation angle information. Specifically, it includes global 4-channel daytime observation data from the FY-1C and FY-1D satellites, and global 10-channel full-time orbital observation data from FY-3A, FY-3B and FY-3C. Compared with operational data, this dataset has significantly improved accuracy and stability. When compared with reference instruments, the calibration accuracy of reflective channels is better than 5%, and that of thermal emission channels is better than 0.5 K.

创建时间:
2024-11-14
搜集汇总
数据集介绍
气象卫星光学仪器初级气候产品数据集-可见光红外扫描辐射计(VIRR)(2000-2019) 数据集图片
背景与挑战
背景概述
该数据集是2000年至2019年间气象卫星可见光红外扫描辐射计(VIRR)的初级气候产品数据集,基于FY-1C/D和FY-3A/B/C卫星的全球观测数据,通过统一辐射基准重新校准生成,包含归一化反射率、亮温等参数,每日覆盖全球,精度优于5%(可见光通道)和0.5K(热通道),适用于大气遥感和气候研究。
以上内容由遇见数据集搜集并总结生成
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