Published September 27, 2023 | Version 1.0
Dataset Open

Supplement to "Low-level mixed-phase clouds at the high Arctic site of Ny-Ålesund: A comprehensive long-term dataset of remote sensing observations"

  • 1. Institute for Geophysics and Meteorology, University of Cologne, Cologne, Germany

Description

This dataset is a supplement to "Low-level mixed-phase clouds at the high Arctic site of Ny-Ålesund: A comprehensive long-term dataset of remote sensing observations", available at doi.org/10.5281/zenodo.7803064. The additional variables here included are: slow edge velocity, fast edge velocity, and eddy dissipation rate (EDR). All variables are stored on the same time and range grids adopted for the main dataset. Similarly, the event selection and file structure are identical to those of the main dataset.

Slow and fast edge velocities are derived from Doppler spectra recorded by the zenith-pointing 94-GHz cloud radar. The slow (fast) edge velocity is calculated as the velocity associated with the slowest (fastest) Doppler bin above the peak noise level, belonging to a spectral cluster whose width is at least 5 Doppler bins.

The EDR is retrieved following the approach by Borque et al. (2016; doi.org/10.1002/2015JD024543), using as input the slow edge velocity, and model horizontal wind speed from the main dataset. EDR is retrieved in 5 minute intervals, up to a maximum range of 3 km.

The detailed documentation of the variables here included can be found in the Supporting Information to the following publication: doi.org/10.1029/2023GL106599.

Notes

This work was supported by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation), under Project no. 268020496 — TRR 172, within the Transregional Collaborative Research Center "ArctiC Amplification: Climate Relevant Atmospheric and SurfaCe Processes, and Feedback Mechanisms (AC)3."

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Additional details

References

  • Chellini, G., Gierens, R., Ebell, K., Kiszler, T., Krobot, P., Myagkov, A., Schemann, V., and Kneifel, S.: Low-level mixed-phase clouds at the high Arctic site of Ny-Ålesund: A comprehensive long-term dataset of remote sensing observations, Earth System Science Data, 15, 5427–5448, https://doi.org/10.5194/essd-15-5427-2023, 2023.
  • Borque, P., Luke, E., and Kollias, P.: On the unified estimation of turbulence eddy dissipation rate using Doppler cloud radars and lidars, Journal of Geophysical Research: Atmospheres, 121 (10), 5972–5989, https://doi.org/10.1002/2015JD024543, 2016.
  • Chellini, G., and Kneifel, S.: Turbulence as a Key Driver of Ice Aggregation and Riming in Arctic Low-Level Mixed-Phase Clouds, Revealed by Long-Term Cloud Radar Observations, Geophysical Research Letters, 51, e2023GL106599, https://doi.org/10.1029/2023GL106599, 2024.