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<p>Precise atmospheric parameter profiles are indispensable for calculating atmospheric radiation transmission. Considering that traditional atmospheric parameter models failed to account for variations in atmospheric parameters with horizontal direction, we developed a method for generating inhomogeneous atmospheric parameter profiles along the line-of-sight path based on the fifth-generation reanalysis product ERA5, released by the European Centre for Medium-Range Weather Forecasts (ECMWF). This method employs the target ray tracing technique and utilizes spatial rapid interpolation methods such as horizontal inverse distance weighting and vertical spline interpolation. According to this method, we investigated the distribution of atmospheric temperature profiles, water vapor density profiles, and total water vapor content along slant paths in three regions of China: Yushu, Hefei, and Maoming. Compared with the single-point vertical atmospheric parameter profile models in the above regions, the results show that: As the observation elevation angle decreases, the deviation between this two atmospheric models tends to increase gradually. Specifically, at an observation elevation angle of 10°, the average absolute deviations of atmospheric temperature profiles in three regions are 0.36, 0.45, and 0.32K, respectively; the average relative deviations of the slant water vapor content are 1.23, 1.25 and 1.01%, respectively. Further research reveals that when the observation elevation angle ranges from 0.1° to 4°, the relative deviation of total water vapor content in Hefei under the two models can reach up to approximately positive 7% in the south and negative 7% in the north during spring and winter, while at observation elevation angles between 6°and 10°, the relative deviation is around 1% to 3%, suggesting that the influence of observation elevation angle in different horizontal directions should be considered. In addition, the total water vapor content in three regions generally exhibits a trend of being higher in the south and lower in the north at different azimuth angles.</p>

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Research on the method of constructing atmospheric parameter profile based on target light ray tracing

  • 期刊论文

  • 发表日期：

    2026年1月9日

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  • Qi Zhang,
  • Congming Dai,
  • Heli Wei

摘要

Precise atmospheric parameter profiles are indispensable for calculating atmospheric radiation transmission. Considering that traditional atmospheric parameter models failed to account for variations in atmospheric parameters with horizontal direction, we developed a method for generating inhomogeneous atmospheric parameter profiles along the line-of-sight path based on the fifth-generation reanalysis product ERA5, released by the European Centre for Medium-Range Weather Forecasts (ECMWF). This method employs the target ray tracing technique and utilizes spatial rapid interpolation methods such as horizontal inverse distance weighting and vertical spline interpolation. According to this method, we investigated the distribution of atmospheric temperature profiles, water vapor density profiles, and total water vapor content along slant paths in three regions of China: Yushu, Hefei, and Maoming. Compared with the single-point vertical atmospheric parameter profile models in the above regions, the results show that: As the observation elevation angle decreases, the deviation between this two atmospheric models tends to increase gradually. Specifically, at an observation elevation angle of 10°, the average absolute deviations of atmospheric temperature profiles in three regions are 0.36, 0.45, and 0.32K, respectively; the average relative deviations of the slant water vapor content are 1.23, 1.25 and 1.01%, respectively. Further research reveals that when the observation elevation angle ranges from 0.1° to 4°, the relative deviation of total water vapor content in Hefei under the two models can reach up to approximately positive 7% in the south and negative 7% in the north during spring and winter, while at observation elevation angles between 6°and 10°, the relative deviation is around 1% to 3%, suggesting that the influence of observation elevation angle in different horizontal directions should be considered. In addition, the total water vapor content in three regions generally exhibits a trend of being higher in the south and lower in the north at different azimuth angles.