EUREC<sup>4</sup>A's <i>Maria S. Merian</i> ship-based cloud and micro rain radar observations of clouds and precipitation

Author:

Acquistapace ClaudiaORCID,Coulter Richard,Crewell SusanneORCID,Garcia-Benadi Albert,Gierens RosaORCID,Labbri Giacomo,Myagkov Alexander,Risse Nils,Schween Jan H.

Abstract

Abstract. As part of the EUREC4A field campaign, the research vessel Maria S. Merian probed an oceanic region between 6 to 13.8∘ N and 51 to 60∘ W for approximately 32 d. Trade wind cumulus clouds were sampled in the trade wind alley region east of Barbados as well as in the transition region between the trades and the intertropical convergence zone, where the ship crossed some mesoscale oceanic eddies. We collected continuous observations of cloud and precipitation profiles at unprecedented vertical resolution (7–10 m in the first 3000 m) and high temporal resolution (1–3 s) using a W-band radar and micro rain radar (MRR), installed on an active stabilization platform to reduce the impact of ship motions on the observations. The paper describes the ship motion correction algorithm applied to the Doppler observations to extract corrected hydrometeor vertical velocities and the algorithm created to filter interference patterns in the MRR observations. Radar reflectivity, mean Doppler velocity, spectral width and skewness for W-band and reflectivity, mean Doppler velocity, and rain rate for MRR are shown for a case study to demonstrate the potential of the high resolution adopted. As non-standard analysis, we also retrieved and provided liquid water path (LWP) from the 89 GHz passive channel available on the W-band radar system. All datasets and hourly and daily quicklooks are publically available, and DOIs can be found in the data availability section of this publication. Data can be accessed and basic variables can be plotted online via the intake catalog of the online book “How to EUREC4A”.

Funder

Deutsche Forschungsgemeinschaft

Publisher

Copernicus GmbH

Subject

General Earth and Planetary Sciences

Reference50 articles.

1. Acquistapace, C.: Investigation of drizzle onset in liquid clouds using ground based active and passive remote sensing instruments, doctoral thesis, University of Cologne, Cologne, Germany, available at: http://kups.ub.uni-koeln.de/7932/ (last access: 23 December 2021), 2017. a

2. Acquistapace, C.: One month in the middle of the ocean, doing research: how does it look like?, Youtube, available at: https://www.youtube.com/watch?v=EdWNS77qMNA, last access: 23 December 2021. a

3. Acquistapace, C. and Pschera, A.: Quicklook browser for data visualization, University of Cologne, available at: https://bit.ly/3xLkb9b, last access: 23 December 2021. a

4. Acquistapace, C., Löhnert, U., Maahn, M., and Kollias, P.: A new criterion to improve operational drizzle detection with ground-based remote sensing, J. Atmos. Ocean. Tech., 36, 781–801, https://doi.org/10.1175/JTECH-D-18-0158.1, 2019. a

5. Acquistapace, C., Garcia-Benadi, A., Schween, J. H., Haseneder-Lind, R., Roettenbacher, J., Klocke, D., Kalesse-Los, H., Bormet, S., and Coulter, R. L.: MRR-PRO radar dataset, EUREC4A [data set], https://doi.org/10.25326/233, 2021a. a

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3