对地球大气中逐行痕量气体吸收进行编码的实用指南

IF 1.9 3区 物理与天体物理 Q2 OPTICS Journal of Quantitative Spectroscopy & Radiative Transfer Pub Date : 2025-05-01 Epub Date: 2025-01-10 DOI:10.1016/j.jqsrt.2025.109345
Sergey Korkin , Andrew M. Sayer , Amir Ibrahim , Alexei Lyapustin
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引用次数: 0

摘要

我们提出了两个新的C语言开源代码,用于模拟太阳光谱区域逐行分子(气体)吸收,波长高达~ 2500 (nm)。第一个,gcell,在给定的电池长度,温度和压力下模拟气体电池中的吸收光谱。第二个方面是用于地球大气中的光谱学,这是遥感应用的一个常见需求。两者都使用HITRAN数据库进行线形(Voigt)建模。Aspect采用MODTRAN中热力学参数(剖面)的高度变化。单独讨论气体细胞和大气模式简化了软件开发、文档和支持,并最终在几代科学家之间转移知识。这是本文的主要目标。尽管存在许多计算机程序的吸收光谱学,代码开发过程是很少覆盖在文献中。因此,非开发人员很难在合理的时间内自信地修改现有代码或创建新工具。
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A practical guide to coding line-by-line trace gas absorption in Earth's atmosphere
We present two new open-source codes, in the C language, for simulation of the line-by-line molecular (gas) absorption in the solar spectral region with wavelengths up to ∼2500 (nm). The first one, gcell, simulates absorption spectroscopy in a gas cell for a given length of the cell, temperature, and pressure. The second one, aspect, is for spectroscopy in Earth's atmosphere - a common need for remote sensing applications. Both use the HITRAN database for line shape (Voigt) modeling. Aspect adapts height variations of the thermodynamic parameters (profiles) from MODTRAN. Separate discussion of the gas cell and the atmospheric modes simplifies software development, documentation, and support, and ultimately the transfer of knowledge between generations of scientists. These are the main goals of the current paper. Despite the existence of numerous computer programs for absorption spectroscopy, the code development process is poorly covered in literature. As a result, it is difficult for a non-developer to confidently modify an existing code or create a new tool within a reasonable amount of time.
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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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