| Preliminary Extracting Radiance from All-sky Images |
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| 作者姓名： | HUO Juan LU Da-Ren |
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| 作者单位： | 中国科学院大气物理研究所, |
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| 基金项目： | Acknowledgements. This work was supported by the national natural science foundation of China （Grant Nos. 40505006 and 40775026）. We thank Yong Wang and Yuejian Xuan for their works in all-sky imager development. In addition, we thank Yanli Qiao, Limin Zhang, and Benyong Yang （Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences）, for the support of calibration experiment. |
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| 摘 要： | The automatic all-sky imager developed by the Institute of Atmospheric Physics, Chinese Academy of Sciences, provides all-sky visible images in the red, green, and blue channels. This paper presents three major calibration experiments of the all-sky imager, geometric angular calibration, optical calibration, and radiometric calibration, and then infers an algorithm to retrieve relative radiance from the all-sky images. Field experiments show that the related coefficient between retrieved radiance and measured radiance is about 0.91. It is feasible to use the algorithm to retrieve radiance from images. The paper sets up a relationship between radiance and the image, which is useful for using the all-sky image in numerical-simulations that predict more meteorological parameters.
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| 关 键 词： | 校准 可见光图像 验证 中国科学院 大气物理 辐射定标 标定实验 田间试验 |
Calibration and Validation of an All-Sky Imager |
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| HUO Juan,LU Da-Ren.Preliminary Extracting Radiance from All-sky Images[J].Atmospheric and Oceanic Science Letters,2009,2(4):220-223. |
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| Authors: | HUO Juan and LU Da-Ren |
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| Institution: | Key Laboratory for Atmosphere and Global Environment Observation, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029,Key Laboratory for Atmosphere and Global Environment Observation, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029 |
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| Abstract: | The automatic all-sky imager developed by the Institute of Atmospheric Physics, Chinese Academy of Sciences, provides all-sky visible images in the red, green, and blue channels. This paper presents three major calibration experiments of the all-sky imager, geometric angular calibration, optical calibration, and radiometric calibration, and then infers an algorithm to retrieve relative radiance from the all-sky images. Field experiments show that the related coefficient between retrieved radiance and measured radiance is about 0.91. It is feasible to use the algorithm to retrieve radiance from images. The paper sets up a relationship between radiance and the image, which is useful for using the all-sky image in numerical-simulations that predict more meteorological parameters. |
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| Keywords: | all-sky visible image radiance cloud |
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