Snow properties, trajectories, and turbulence data collected during field deployments from 2022 to 2023 at Eolos research station
2024-07-29
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2022-04-07
2023-01-02
2023-01-02
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Title
Snow properties, trajectories, and turbulence data collected during field deployments from 2022 to 2023 at Eolos research station
Published Date
2024-07-29
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Li, Jiaqi
li001334@umn.edu
li001334@umn.edu
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Field Study Data
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Field Study Data
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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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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Readme_snowsettling_V2.txt
Description of data and files
(6.57 KB)
SnowParticleProperties.zip
Matlab files for each of the four snow types - aggregates, dendrites, grapples, and needles
(7.77 MB)
MetData.zip
Data collected from the meteorological tower at the field station during the deployments
(72.13 MB)
Trajectories.zip
Trajectory information for aggregates, dendrites, grapples, and needles - MATLAB structures
(4.78 GB)
Schematic.pdf
Meteorological tower & rotor locations
(86.37 KB)
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