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Conference Paper

Low-level Arctic clouds: The hidden key component of the radiation budget

Authors

Griesche,  Hannes
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Barrientos-Velasco,  Carola
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Deneke,  Hartwig
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Hühnerbein,  Anja
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Seifert,  Patric
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Macke,  Andreas
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

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Citation

Griesche, H., Barrientos-Velasco, C., Deneke, H., Hühnerbein, A., Seifert, P., Macke, A. (2023): Low-level Arctic clouds: The hidden key component of the radiation budget, XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG) (Berlin 2023).
https://doi.org/10.57757/IUGG23-0846


Cite as: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5016635
Abstract
To understand the feedbacks driving the amplified changes in the Arctic a quantification of the contribution of the involved processes is necessary. Here a detailed study of low-level Arctic clouds on the surface radiation budget is presented. These clouds frequently occur below the lowest detection range of most state-of-the-art remote-sensing instruments and were observed in summertime during 25% of the time over the marginal sea ice zone. The low altitude of these clouds poses challenges on their observation and characterization by remote-sensing techniques. Ground-based remote sensing and surface radiation flux measurements performed during the Arctic cruise PS106 in 2017 were combined with radiative transfer simulations to study low-level clouds. A multiwavelength lidar PollyXT with near-range observations capabilities down to 50m and a cloud radar with a lowest detection limit at 165m altitude were operated continuously. The liquid-water microphysical properties of clouds missed by the cloud radar were estimated using measurements of a microwave radiometer HATPRO and the lidar-detected cloud base. Thereby the surface radiative effect of these clouds was quantified. A closure between the observed and modelled radiative surface fluxes was achieved with a realistic representation of low-level liquid-containing clouds in the radiative transfer model. When omitting these low-level clouds, the cloud radiative effect at the surface was misestimated by 43Wm−2. The presented study highlights the importance of improving cloud retrievals for low-level liquid-containing clouds as they are frequently encountered in the high Arctic, together with observational capabilities, both in terms of cloud remote sensing and radiative flux observations.