Vientos - 结合被动水汽探测仪和多普勒风激光雷达进行三维风力测量的新卫星任务概念

IF 6.9 1区 地球科学 Q1 METEOROLOGY & ATMOSPHERIC SCIENCES
Xubin Zeng, Hui Su, Svetla Hristova-Veleva, Derek J. Posselt, Robert Atlas, Shannon T. Brown, Ross D. Dixon, Eric Fetzer, Thomas J. Galarneau, Michael Hardesty, Jonathan H. Jiang, Pekka P. Kangaslahti, Amir Ouyed, Thomas S. Pagano, Oliver Reitebuch, Remy Roca, Ad Stoffelen, Sara Tucker, Anna Wilson, Longtao Wu, Igor Yanovsky
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引用次数: 0

摘要

摘要 精确描述水平风矢量(称为三维风)的三维分布具有挑战性。几十年来,人们一直使用特征匹配卫星云顶或水汽场来检索大气运动矢量,但这种方法大多局限于特定时间内单一且不确定的气压水平。卫星风激光雷达测量有望提供更精确的数据,并捕捉晴朗天空、卷云内部和厚云层上方的视线风,但只能沿着与卫星轨道平行的帘幕进行。在此,我们提出了 Vientos--一种新的卫星任务概念,将 2 个或更多的被动水蒸气探测仪与多普勒风激光雷达结合起来测量三维风。三维风观测的必要性突出表现在再分析估计值的不一致性上,特别是在降水条件下。最近的研究表明,在先进光流算法的帮助下,利用两颗相隔 50 分钟的极轨卫星的水汽观测数据,可以检索到三维风。通过机器学习,结合少量共定位的高精度测量,可以改进这些风向。Vientos 概念可同时测量三维风、温度和湿度,预计将对科学研究、天气预报和其他应用产生重大影响。例如,它有助于更好地了解和预测有组织对流的先决条件。本文总结了最新成果,介绍了 Vientos 任务架构,并讨论了在当前预算限制下三维风任务的实施方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Vientos - A new satellite mission concept for 3D wind measurements by combining passive water vapor sounders with Doppler wind lidar
Abstract It is challenging to accurately characterize the three-dimensional distribution of horizontal wind vectors (known as 3D winds). Feature-matching satellite cloud top or water vapor fields have been used for decades to retrieve atmospheric motion vectors, but this approach is mostly limited to a single and uncertain pressure level at a given time. Satellite wind lidar measurements are expected to provide more accurate data and capture the line-of-sight wind for clear skies, within cirrus clouds, and above thick clouds, but only along a curtain parallel to the satellite track. Here we propose Vientos – a new satellite mission concept that combines 2 or more passive water vapor sounders with Doppler wind lidar to measure 3D winds. The need for 3D wind observations is highlighted by inconsistencies in reanalysis estimates, particularly under precipitating conditions. Recent studies have shown that 3D winds can be retrieved using water vapor observations from two polar-orbiting satellites separated by 50 minutes, with the help of advanced optical flow algorithms. These winds can be improved through the incorporation of a small number of co-located higher-accuracy measurements via machine learning. The Vientos concept would enable simultaneous measurements of 3D winds, temperature, and humidity, and is expected to have a significant impact on scientific research, weather prediction, and other applications. For example, it can help better understand and predict the preconditions for organized convection. This article summarizes recent results, presents the Vientos mission architecture, and discusses implementation scenarios for a 3D wind mission under current budget constraints.
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来源期刊
CiteScore
9.80
自引率
6.20%
发文量
231
审稿时长
6-12 weeks
期刊介绍: The Bulletin of the American Meteorological Society (BAMS) is the flagship magazine of AMS and publishes articles of interest and significance for the weather, water, and climate community as well as news, editorials, and reviews for AMS members.
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