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首页> 外文期刊>Journal of Geophysical Research, D. Atmospheres: JGR >Description and sensitivity analysis of a limb scattering ozone retrieval algorithm
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Description and sensitivity analysis of a limb scattering ozone retrieval algorithm

机译：肢体散射臭氧反演算法的描述及灵敏度分析

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摘要

We present the theoretical basis for an algorithm that retrieves vertical profiles of ozone concentration using measurements of light scattered from the limb of the atmosphere. Simulated radiances at wavelengths between 300 and 675 nm are inverted using the optimal estimation technique, producing a retrieved ozone number density profile between 10 and 55 km. A detailed sensitivity analysis of this ozone retrieval algorithm follows. The largest source of ozone retrieval error is tangent height misregistration (i.e., instrument pointing error), which is relevant throughout the altitude range of interest and produces retrieval errors on the order of 10–20% due to a tangent height registration error of 0.5 km. The retrieved profile is shifted in altitude relative to the true profile, with very little distortion of the profile shape. Sensitivity to stratospheric aerosol is also a significant source of error, with errors of 5–8% for altitudes less than 40 km under background aerosol conditions when an aerosol-free atmosphere is assumed by the algorithm. Using an incorrect a priori ozone estimate can produce errors up to 15% at altitudes near 10 km, but the a priori profile has little influence above that level. Addressing these error sources (e.g., with better instrument pointing knowledge, introduction of reliable aerosol information, and better instrument signal-to-noise to reduce the importance of the a priori ozone estimate, respectively) is the key to significantly improving the retrieval accuracy. Further improvement would then be limited by several secondary error sources that produce retrieval errors at the 5% level.
机译：我们介绍了一种算法的理论基础，该算法使用从大气四肢散射的光的测量值来检索臭氧浓度的垂直分布。使用最佳估计技术将波长在300到675 nm之间的模拟辐射进行反转，从而获得10到55 km之间的臭氧数量密度分布图。接下来是对该臭氧回收算法的详细灵敏度分析。臭氧恢复误差的最大来源是切线高度重合失调（即仪器指向误差），它在整个感兴趣的高度范围内都相关，由于切线高度配准误差为0.5 km，产生的恢复误差约为10–20％。 。检索到的轮廓相对于真实轮廓在高度上移动，轮廓形状几乎没有变形。对平流层气溶胶的敏感性也是一个重要的误差源，当算法假定无气溶胶的大气层时，在背景气溶胶条件下，海拔低于40 km时，误差为5–8％。使用不正确的先验臭氧估计值可能会在10 km附近的海拔高度产生高达15％的误差，但先验曲线对高于该水平的影响不大。解决这些错误源（例如分别具有更好的仪器指向知识，引入可靠的气溶胶信息以及更好的仪器信噪比以分别降低先验臭氧估计的重要性）是显着提高检索精度的关键。然后，进一步的改进将受到几个次要错误源的限制，这些次要错误源会产生5％的检索错误。

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