Selection of optimized microwindows for atmospheric spectroscopy.
Selection of optimized microwindows for atmospheric spectroscopy.
复制标题
选择用于大气光谱的优化微窗口。
作者：
T. von Clarmann;G. Echle
在大气傅里叶变换光谱学中，通常分析所谓的微窗是为了提取痕量组分，而不是为了整个光谱。这些微窗口是一组连续的光谱网格点，包含目标物种的一个或多个显著跃迁，而干扰物种的信号最好是最小的。提出了一种客观、定量的方法，根据随机误差、干扰物种信号、其他参数和系统误差来优化微窗边界，并根据其相关的反演误差选择最优微窗。对N(2O)O微窗进行了星载肢体发射实验的实例研究，以评估最佳微窗宽度与恢复概念的关系。
In atmospheric Fourier transform spectroscopy so-called microwindows are usually analyzed for retrieval of trace constituents rather than the spectrum as a whole. These microwindows, which are sets of consecutive spectral grid points, contain one or more prominent transitions of the target species, whereas it is desirable for the signal of interfering species to be minimum. An objective, quantitative method is presented to optimize the microwindow boundaries with respect to random errors, signal of interfering species, other parameter and systematic errors and to select optimum microwindows with respect to their associated retrieval errors. Case studies for N(2)O microwindows are performed for a spaceborne limb emission experiment to assess the dependence of the optimum microwindow width on the retrieval concept.