Observing atmospheric rivers using multi-GNSS airborne radio occultation: system description and data evaluation

IF 3.2 3区 地球科学 Q2 METEOROLOGY & ATMOSPHERIC SCIENCES
Bing Cao, Jennifer S. Haase, Michael J. Murphy Jr., Anna M. Wilson
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引用次数: 0

Abstract

Abstract. Atmospheric Rivers (ARs) are narrow filaments of high moisture flux responsible for most of the horizontal transport of water vapor from the tropics to mid-latitudes. Improving forecasts of ARs through numerical weather prediction (NWP) is important for increasing the resilience of the western US to flooding and droughts. These NWP forecasts rely on the improved understanding of AR physics and dynamics from satellite, radar, aircraft, and in situ observations, and now airborne radio occultation (ARO) can contribute to those goals. The ARO technique is based on precise measurements of Global Navigation Satellite Systems (GNSS) signal delays collected from a receiver onboard an aircraft from setting or rising GNSS satellites. ARO inherits the advantages of high vertical resolution and all-weather capability of spaceborne RO observations and has the additional advantage of continuous and dense sampling of the targeted storm area. This work presents a comprehensive ARO dataset recovered from four years of AR Reconnaissance (AR Recon) missions over the eastern Pacific. The final dataset is comprised of ∼ 1700 ARO profiles from 39 flights (∼ 260 flight hours) from multiple GNSS constellations. Profiles extend from aircraft cruising altitude (13–14 km) down into the lower troposphere, with more than 50 % of the profiles extending below 4 km, below which the receiver loses or cannot initiate lock. The horizontal drift of the tangent points that comprise a given ARO profile greatly extends the area sampled from just underneath the aircraft to both sides of the flight track (up to ∼ 400 km). The estimated refractivity accuracy with respect to dropsondes is ∼ 1.2 %, in the upper troposphere where the sample points are closely collocated. For the lower troposphere, the agreement is within ∼ 7 % which is the level of consistency expected given the nature of atmospheric variations over the 300–700 km separation between the lowest point and the dropsonde.
利用多全球导航卫星系统机载无线电掩星观测大气河流:系统描述和数据评估
摘要大气河(ARs)是高水汽通量的狭窄细丝,负责从热带到中纬度的大部分水汽水平输送。通过数值天气预报 (NWP) 改进对 AR 的预报对于提高美国西部抵御洪水和干旱的能力非常重要。这些 NWP 预报依赖于卫星、雷达、飞机和现场观测对 AR 物理和动力学的进一步了解,现在机载无线电掩星(ARO)可以为实现这些目标做出贡献。机载无线电掩星技术基于对全球导航卫星系统(GNSS)信号延迟的精确测量,该信号延迟是通过飞机上的接收器从正在下降或上升的 GNSS 卫星上收集的。ARO 继承了机载 RO 观测的高垂直分辨率和全天候能力的优点,并具有对目标风暴区进行连续和密集采样的额外优势。这项工作展示了四年来在东太平洋上空执行的AR侦察(AR Recon)任务所恢复的综合ARO数据集。最终数据集由来自多个全球导航卫星系统星座的 39 次飞行(260 个飞行小时)的 1700 个 ARO 剖面图组成。剖面图从飞机巡航高度(13-14 千米)一直延伸到对流层下部,50% 以上的剖面图延伸到 4 千米以下,在 4 千米以下接收器失去或无法启动锁定。构成特定 ARO 剖面的切点的水平漂移大大扩展了采样区域,从飞机下方一直延伸到飞行轨迹两侧(最远可达 400 千米)。在对流层上部,采样点的位置非常接近,因此与滴度计相比,折射率的估计精度为 1.2%。在对流层下部,鉴于最低点与滴度计之间 300-700 千米距离内大气变化的性质,预期的一致性水平在 7%以内。
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来源期刊
Atmospheric Measurement Techniques
Atmospheric Measurement Techniques METEOROLOGY & ATMOSPHERIC SCIENCES-
CiteScore
7.10
自引率
18.40%
发文量
331
审稿时长
3 months
期刊介绍: Atmospheric Measurement Techniques (AMT) is an international scientific journal dedicated to the publication and discussion of advances in remote sensing, in-situ and laboratory measurement techniques for the constituents and properties of the Earth’s atmosphere. The main subject areas comprise the development, intercomparison and validation of measurement instruments and techniques of data processing and information retrieval for gases, aerosols, and clouds. The manuscript types considered for peer-reviewed publication are research articles, review articles, and commentaries.
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