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Sensitivity of Aeolus HLOS winds to temperature and pressure specification in the L2B processor
Atmospheric Measurement Techniques ( IF 3.2 ) Pub Date : 2021-02-15 , DOI: 10.5194/amt-2021-38
Matic Šavli , Vivien Pourret , Christophe Payan , Jean-François Mahfouf

Abstract. The retrieval of wind from the first Doppler wind lidar of Europen Space Agency (ESA) launched in space in August 2018 is based on a series of corrections necessary to provide observations of a quality useful for Numerical Weather Prediction (NWP). In this paper we examine properties of the Rayleigh-Brillouin correction necessary for the retrieval of horizontal line-of-sight wind (HLOS) from a Fabry-Perot interferometer. This correction is taking into account the atmospheric stratification, namely temperature and pressure information that are provided by a NWP model as suggested prior launch. Since NWP models contain errors the main goal in the study is to evaluate the impact of these errors on the HLOS sensitivity by comparing the Integrated Forecast System (IFS) and Action de Recherche Petite Echelle Grande Echelle (ARPEGE) global model temperature and pressure short term forecasts collocated with the Aeolus orbit. The model error is currently not taken into account in the computation of the HLOS error estimate since its contribution is believed small. This study largely confirms this statement to be a valid assumption, although it also shows that model errors could locally (i.e. jet-stream regions, below 700 hPa over both earth poles and as well in stratosphere) be significant. For a future Aeolus follow-on missions this study suggests to consider realistic estimations of model errors in the HLOS retrieval algorithms, since this will lead to an improved estimation of the Rayleigh-Brillouin sensitivity uncertainty contributing to the HLOS error estimate and better exploitation of space lidar winds in NWP systems.

中文翻译:

风神HLOS风对L2B处理器中温度和压力规格的敏感性

摘要。欧洲航天局(ESA)于2018年8月在太空中发射的第一台多普勒风激光雷达回收的风是基于一系列必要的校正,以提供对数值天气预报(NWP)有用的质量观测结果。在本文中,我们研究了从Fabry-Perot干涉仪获取水平视线风(HLOS)所必需的Rayleigh-Brillouin校正特性。这种校正考虑了大气分层,即由NWP模型在建议的发射前提供的温度和压力信息。由于NWP模型包含误差,因此本研究的主要目标是通过比较综合预测系统(IFS)和Action de Recherche Petite Echelle Grande Echelle(ARPEGE)全局模型短期温度和压力来评估这些误差对HLOS敏感性的影响预报与风神轨道并置。由于认为HLOS误差的贡献很小,因此目前在计算HLOS误差估计时未考虑模型误差。这项研究在很大程度上证实了这一说法是一个有效的假设,尽管它也表明模型误差可能在局部(即在两极以及平流层中的射流区域,低于700 hPa)都很重要。对于未来的Aeolus后续任务,该研究建议考虑在HLOS检索算法中对模型误差的现实估计,
更新日期:2021-02-15
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