As part of the EUREC⁴A (Elucidating the role of cloud–circulation coupling in climate) field campaign, the German research aircraft HALO (High Altitude and Long Range Research Aircraft), configured as a cloud observatory, conducted 15 research flights in the trade-wind region east of Barbados in January and February 2020. Narrative text, aircraft state data, and metadata describing HALO's operation during the campaign are provided. Each HALO research flight is segmented by timestamp intervals into standard elements to aid the consistent analysis of the flight data. Photographs from HALO's cabin and animated satellite images synchronized with flight tracks are provided to visually document flight conditions. As a comprehensive product from the remote sensing observations, a multi-sensor cloud mask product is derived and quantifies the incidence of clouds observed during the flights. In addition, to lower the threshold for new users of HALO's data, a collection of use cases is compiled into an online book, How to EUREC4A, included as an asset with this paper. This online book provides easy access to most of EUREC⁴A's HALO data through an intake catalogue. Code and data are freely available at the locations specified in Table 6.

中文翻译：

---

EUREC4A的光环

作为 EUREC ⁴ A（阐明云-环流耦合在气候中的作用）实地活动的一部分，配置为云天文台的德国研究飞机HALO（高空远程研究飞机）在贸易中进行了 15 次研究飞行- 2020 年 1 月和 2 月巴巴多斯以东的风区。提供了描述HALO在战役期间的操作的叙述文本、飞机状态数据和元数据。每个HALO研究飞行都按时间戳间隔分割成标准元素，以帮助对飞行数据进行一致的分析。来自HALO 的照片提供与飞行轨迹同步的机舱和动画卫星图像，以直观地记录飞行状况。作为遥感观测的综合产品，衍生出多传感器云罩产品，量化飞行过程中观测到的云发生率。此外，为了降低新用户使用HALO数据的门槛，将用例集合编译成在线书籍How to EUREC4A，作为资产包含在本文中。这本在线书籍可通过摄入目录轻松访问 EUREC ⁴ A 的大部分HALO数据。代码和数据可在表 6 中指定的位置免费获得。