Seasonal calibration for the simplified on-orbit external heat flux calculation method

IF 1.9 3区 物理与天体物理 Q2 OPTICS
Qianwen Wang, Yuxi Li, Yongbiao Xue, Biao Zhang, Chuanlong Xu
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引用次数: 0

Abstract

The MODTRAN-based external heat flux (EHF) calculation method provides greater accuracy than the simplified approach, which assumes a constant albedo for Earth. However, unlike the simplified method, the MODTRAN-based approach lacks the computational speed required for real-time applications. Therefore, this study investigated calibrating the simplified method using the Gaussian process regression (GPR) to align its results with the MODTRAN-based benchmark better. During the Spring Equinox, Summer Solstice, Autumn Equinox, and Winter Solstice, the maximum percentage absolute error of the calibrated simplified method was below 2 %, representing a 13 % reduction in error compared to the uncalibrated method. The EHF values obtained from the MODTRAN-based, simplified, and calibrated methods were used to simulate spacecraft temperature distributions. The results demonstrate that the calibrated method effectively reduced errors, producing temperature distributions closer to the benchmark and confirming the necessity and effectiveness of seasonal calibrations.
简化在轨外热流计算方法的季节定标
基于modtran的外热通量(EHF)计算方法比假设地球反照率恒定的简化方法具有更高的精度。然而,与简化的方法不同,基于modtran的方法缺乏实时应用所需的计算速度。因此,本研究研究使用高斯过程回归(GPR)对简化方法进行校准,使其结果与基于modtran的基准更好地对齐。在春分、夏至、秋分和冬至期间,校准简化方法的最大绝对误差百分比低于2%,与未校准方法相比,误差降低了13%。利用基于modtran的简化和校准方法获得的EHF值来模拟航天器的温度分布。结果表明,校正方法有效地减小了误差,产生的温度分布更接近基准,证实了季节校正的必要性和有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
5.30
自引率
21.70%
发文量
273
审稿时长
58 days
期刊介绍: Papers with the following subject areas are suitable for publication in the Journal of Quantitative Spectroscopy and Radiative Transfer: - Theoretical and experimental aspects of the spectra of atoms, molecules, ions, and plasmas. - Spectral lineshape studies including models and computational algorithms. - Atmospheric spectroscopy. - Theoretical and experimental aspects of light scattering. - Application of light scattering in particle characterization and remote sensing. - Application of light scattering in biological sciences and medicine. - Radiative transfer in absorbing, emitting, and scattering media. - Radiative transfer in stochastic media.
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