基于aotf的大气科学仪器新概念

E. Dekemper, J. Vanhamel, J. Kastelik, N. Pereira, D. Bolsée, G. Cessateur, H. Lamy, D. Fussen
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引用次数: 3

摘要

声光可调谐滤光片(AOTFs)在地球大气遥感界仍然知之甚少。大部分被动大气遥感仪器仍然分为两大类:依赖于干涉技术的(主要用于长波吸收)和基于衍射光栅的(更适合于紫外-可见吸收)。尽管如此,aotf仍有一些值得关注的独特之处,特别是其角度接受度和偏振灵敏度。第一个是因为它允许在成像装置中工作,第二个是因为许多大气过程都有偏振效应。在本文中,我们将介绍不同的基于aotf的仪器概念(甚至原型),这些概念利用了这些特征,以提高大气科学几个领域中测量技术的最新水平。我们将首先介绍改进后的二氧化氮相机:它的新功能,已经改变的子系统,以及一些初步结果。然后,我们将讨论另外两个潜在的应用:研究太阳光谱辐照度在紫外线下的变化,以及探测极光偏振辐射。对于每个概念,我们将讨论现有工具当前面临的挑战,并分析使用aotf如何克服这些挑战。对AOTF的选择提出建议,并对预期的仪器性能进行估计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
New AOTF-based instrumental concepts for atmospheric science
Acousto-optical tunable filters (AOTFs) are still little known to the Earth atmosphere remote sensing community. The bulk of passive atmospheric remote sensing instruments remains divided into two families: those relying on interferometric techniques (mostly for the long-wave absorbing species), and those based on diffraction gratings (better suited for UV-VIS absorbing species). Still, AOTFs have some unique features which should deserve more attention, in particular their angular acceptance, and their polarization sensitivity. The first one because it allows to work in an imaging setup, the second because many atmospheric processes have a polarizing effect. In this paper, we will present different AOTF-based instrument concepts (or even prototypes) which take advantage of these features in order to improve the sate-of-the-art of measurement techniques in several fields of atmospheric science. We will first present the improved NO2 camera: its new capabilites, the subsystems which have been changed, and some preliminary results. Then, we will discuss two other potential applications: the study of the solar spectral irradiance variability in the UV, and the detection of auroral polarized emissions. For each concept, we will discuss the current challenges faced by the existing instruments, and analyze how the use of AOTFs could overcome them. A suggestion for the AOTF selection will be made, and the expected instrument performance will be estimated.
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