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Proposed standardized definitions for vertical resolution and uncertainty in the NDACC lidar ozone and temperature algorithms – Part 2: Ozone DIAL uncertainty budget

机译:NDACC激光雷达臭氧和温度算法中垂直分辨率和不确定度的拟议标准化定义–第2部分:臭氧DIAL不确定度预算

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A standardized approach for the definition, propagation, and reporting of uncertainty in the ozone differential absorption lidar data products contributing to the Network for the Detection for Atmospheric Composition Change (NDACC) database is proposed. One essential aspect of the proposed approach is the propagation in parallel of all independent uncertainty components through the data processing chain before they are combined together to form the ozone combined standard uncertainty. brbr The independent uncertainty components contributing to the overall budget include random noise associated with signal detection, uncertainty due to saturation correction, background noise extraction, the absorption cross sections of Osub3/sub, NOsub2/sub, SOsub2/sub, and Osub2/sub, the molecular extinction cross sections, and the number densities of the air, NOsub2/sub, and SOsub2/sub. The expression of the individual uncertainty components and their step-by-step propagation through the ozone differential absorption lidar (DIAL) processing chain are thoroughly estimated. All sources of uncertainty except detection noise imply correlated terms in the vertical dimension, which requires knowledge of the covariance matrix when the lidar signal is vertically filtered. In addition, the covariance terms must be taken into account if the same detection hardware is shared by the lidar receiver channels at the absorbed and non-absorbed wavelengths. brbr The ozone uncertainty budget is presented as much as possible in a generic form (i.e., as a function of instrument performance and wavelength) so that all NDACC ozone DIAL investigators across the network can estimate, for their own instrument and in a straightforward manner, the expected impact of each reviewed uncertainty component. In addition, two actual examples of full uncertainty budget are provided, using nighttime measurements from the tropospheric ozone DIAL located at the Jet Propulsion Laboratory (JPL) Table?Mountain Facility, California, and nighttime measurements from the JPL stratospheric ozone DIAL located at Mauna Loa Observatory, Hawai'i.
机译:提出了一种标准化的方法,用于定义,传播和报告臭氧差分吸收激光雷达数据产品中的不确定性,这些数据有助于建立大气成分变化检测网络(NDACC)数据库。所提出方法的一个基本方面是所有独立不确定性成分在组合在一起形成臭氧合并标准不确定性之前,在数据处理链中并行传播。 构成总体预算的独立不确定性因素包括与信号检测相关的随机噪声,由于饱和度校正导致的不确定性,背景噪声提取,O 3 的吸收截面,NO < sub> 2 ,SO 2 和O 2 ,分子消光截面以及空气中NO 2 和SO 2 。彻底估计了各个不确定性成分的表达及其在臭氧差分吸收激光雷达(DIAL)处理链中的逐步传播。除检测噪声外,所有不确定性源都暗示了垂直方向上的相关项,这在对激光雷达信号进行垂直滤波时需要了解协方差矩阵。此外,如果激光雷达接收器通道在吸收和非吸收波长共享相同的检测硬件,则必须考虑协方差项。 臭氧不确定性预算尽可能以通用形式(即,作为仪器性能和波长的函数)显示,以便网络上所有NDACC臭氧DIAL研究人员可以估算自己的仪器和以直接的方式,评估每个不确定因素的预期影响。此外,还提供了两个完全不确定性预算的实际示例,它们是使用位于加利福尼亚州山顶喷气机实验室的喷气推进实验室(JPL)表中对流层臭氧DIAL的夜间测量值,以及使用位于莫纳罗亚岛的JPL平流层臭氧DIAL的夜间值测量得出的。夏威夷天文台。

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