A unified data set of airborne cloud remote sensing using the HALO Microwave Package (HAMP)

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Abstract

Cloud properties and their environmental conditions were observed during four aircraft campaigns over the North Atlantic on 37 flights. The Halo Microwave Package (HAMP) was deployed on the German research aircraft HALO (High Altitude Long Range Research Aircraft) during these four campaigns. HAMP comprises microwave radiometers with 26 channels in the frequency range between 20 and 183 GHz and a 35 GHz cloud radar. The four campaigns took place between December 2013 and October 2016 out of Barbados and Iceland. Measured situations cover a wide range of conditions including the dry and wet season over the tropical Atlantic and the cold and warm sectors of midlatitude cyclones. The data set we present here contains measurements of the radar reflectivity factor and linear depolarization ratio from cloud radar, brightness temperatures from microwave radiometers and atmospheric profiles from dropsondes. It represents a unique combination of active and passive microwave remote sensing measurements and 525 in situ-measured dropsonde profiles. The data from these different instruments are quality controlled and unified into one common format for easy combination of data and joint analysis. The data are available from the CERA database for the four campaigns individually (https://doi.org/10.1594/WDCC/HALO-measurements-1, https://doi.org/10.1594/ WDCC/HALO-measurements-2, https://doi.org/10.1594/WDCC/HALO-measurements-3, https://doi.org/10. 1594/WDCC/HALO-measurements-4). This data set allows for analyses to gain insight into cloud properties and the atmospheric state in remote regions over the tropical and midlatitude Atlantic. In this paper, we describe the four campaigns, the data and the quality control applied to the data.

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APA

Konow, H., Jacob, M., Ament, F., Crewell, S., Ewald, F., Hagen, M., … Stevens, B. (2019). A unified data set of airborne cloud remote sensing using the HALO Microwave Package (HAMP). Earth System Science Data, 11(2), 921–934. https://doi.org/10.5194/essd-11-921-2019

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