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Konferenzbeitrag

High-resolution modelling at hectometer scale around Arctic cloud observations

Urheber*innen

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

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

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

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

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Zitation

Schemann, V., Kiszler, T., Ori, D., Ebell, K. (2023): High-resolution modelling at hectometer scale around Arctic cloud observations, XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG) (Berlin 2023).
https://doi.org/10.57757/IUGG23-4022


Zitierlink: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5021462
Zusammenfassung
The representation of Arctic mixed-phase clouds - their formation, evolution as well as persistence – is still rather uncertain in coarse-scale regional models. In order to first evaluate and potentially improve the respective microphysical parameterizations, a more detailed process understanding becomes necessary. We performed several simulations at hectometer scale – and by that approaching cloud-resolving scales – around different observational supersites, which are equipped with remote sensing instrumentations for cloud observations. We used the ICON model in a large-eddy configuration on a limited area domain, allowing heterogeneous surface as well as lateral boundary conditions. And we applied a two-moment microphysics parameterization, but no cloud fraction parameterization. By simulating several days, the representation of mixed-phase clouds could be compared to the supersite observations and investigated in a statistical way. While the model shows a great potential in capturing the general structure and timing of mixed-phase clouds – especially at Ny-Ålesund (Svalbard) – we will also discuss existing sensitivities and uncertainties e.g. with respect to ice-formation processes, which led to too many simulated ice clouds. Beyond the detailed microphysical aspects, another uncertainty in the Arctic comes from the uncertain surface properties, especially over sea-ice. To tackle this question and to estimate the sensitivity, we simulated and compared our model simulations at different places across the Arctic. As a second aspect, we will show the influence of different surface and large-scale conditions on the representation of Arctic mixed-phase clouds and point out potential issues to be considered and improved especially in coarse-scale simulations.