Snow properties, trajectories, and turbulence data collected during field deployments from 2022 to 2023 at Eolos research station

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2022-04-07
2023-01-02

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Li, Jiaqi
li001334@umn.edu

Abstract

The data contains the three-dimensional trajectories, snow particle properties, and raw meteorological data of four datasets (with dominant snow types, including aggregates, dendrites, graupels, and needles). The datasets are collected during three deployments, on April 7th, 2022, December 19th, 2022, and January 2nd, 2023, at the Eolos Wind Research Field Station in Rosemount, MN.

Description

There are three zipped files, each for the trajectories (.mat), the snow particle information (.mat), and meteorological data (.xlsx). These datasets are analyzed to understand the morphology effects on snow settling dynamics in the atmosphere.

Referenced by

Li, J., Guala, M., & Hong, J. (2024). Field investigation of 3D snow settling dynamics under weak atmospheric turbulence. arXiv preprint arXiv:2406.08737. https://doi.org/10.48550/arXiv.2406.08737

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CC0 1.0 Universal
http://creativecommons.org/publicdomain/zero/1.0/

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Suggested Citation

Li, Jiaqi; Guala, Michele; Hong, Jiarong. (2024). Snow properties, trajectories, and turbulence data collected during field deployments from 2022 to 2023 at Eolos research station. Retrieved from the Data Repository for the University of Minnesota (DRUM), https://doi.org/10.13020/emmw-5f12.

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