This readme.txt file was generated on 2024-07-26 by Jiaqi Li Recommended citation for the data: 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 ------------------- GENERAL INFORMATION ------------------- 1. Title of Dataset Snow properties, trajectories, and turbulence data collected during field deployments from 2022 to 2023 at Eolos research station 2. Author Information Principal Investigator Contact Information Name: Jiarong Hong Institution: University of Minnesota Email: jhong@umn.edu ORCID: 0000-0001-7860-2181 Associate or Co-investigator Contact Information Name: Michele Guala Institution: University of Minnesota Email: mguala@umn.edu ORCID: 0000-0002-9788-8119 Associate or Co-investigator Contact Information Name: Jiaqi Li Institution: University of Minnesota Email: li001334@umn.edu ORCID: 0000-0002-1201-7489 3. Date published or finalized for release: 2024-07-29 4. Date of data collection (single date, range, approximate date) April 7th 2022, December 19th 2022, January 2nd 2023 5. Geographic location of data collection (where was data collected?): EOLOS Field Research Station, Rosemount, MN 6. Information about funding sources that supported the collection of the data: 7. Overview of the 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 research station in Rosemount, MN. There are three zipped files, each for the trajectories, the snow particle information, and meteorological data. These datasets are analyzed to understand the morphology effects on snow settling dynamics in the atmosphere. Details can be found in the publication (arXiv submission): https://doi.org/10.48550/arXiv.2406.08737. It has now been released to make it publically available to readers of the paper and colleagues. -------------------------- SHARING/ACCESS INFORMATION -------------------------- 1. Licenses/restrictions placed on the data: CC0 1.0 Universal http://creativecommons.org/publicdomain/zero/1.0/ 2. Links to publications that cite or use the data: 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 3. Was data derived from another source? No If yes, list source(s): 4. Terms of Use: Data Repository for the U of Minnesota (DRUM) By using these files, users agree to the Terms of Use. https://conservancy.umn.edu/pages/policies/#drum-terms-of-use --------------------- DATA & FILE OVERVIEW --------------------- 1. File List A1. Filename: Trajectories.zip Short description: The zip file contains the trajectory information for aggregates, dendrites, grapples, and needles. There are four Matlab structures, each including four fields, the 3D positions along the trajectories, the frame IDs, the length of the trajectories, and the 3D velocity at each point. B. Filename: SnowParticleProperties.zip Short description: The zip file contains four Matlab files, each for one snow type. The Matlab tables contain the processed snow particle information from each dataset (with dominant snow type), including ImageID within the raw dataset, particle ID within the image, class of the particle (0-aggregate, 1-dendrite, 2-graupel, 3-plate, 4-needle, 5-small particles), x and y position of the particle (in pixel), major/minor axis length, equivalent diameter, area, perimeter, eccentricity, roundness, orientation. The length quantities are in pixel, with 14.3 um/px resolution. C. Filename: MetData Short description: The zip file contains the data collected from the meteorological tower at the field station during the deployments. Details can be found in the paper and previous publications by the group as well as in the data-specific infomation for the folder below. D. Filename: Schematic Short Description: Schematic drawing of meteorological tower and rotor locations. ----------------------------------------- DATA-SPECIFIC INFORMATION FOR: MetData.zip ----------------------------------------- "The tower is fitted with four sonic anemometers (CSAT3, Campbell Scientific) at heights of 10, 30, 80, and 129 m. These anemometers, with a 20 Hz sampling rate and path lengths of 5.8 cm horizontally and 10 cm vertically, provide detailed wind velocity data. Additionally, six cup-and-vane anemometers, each with a 1 Hz sampling rate, are positioned at elevations of 7, 27, 52, 77, 102, and 126 m to complement the wind measurements." Thus the met1Hz files are from the cup-and-vane anemometers and temperature, humidity, and pressure sensors at these 6 elevations. While the met20Hz files are from the sonic anemometers at four elevations. Thus, numbers 1 to 6 following the variable names indicate the elevations [see Schematic.pdf for visual represenation.] Variables: Wndpd (wind speed), AirTemp (air temperature), RH (relative humidity), BarPres (barometric pressure), and WndDir (wind direction) are from the cup-and-vane anemometer with accompanied temperature, humidity, and pressure sensors. Variables: Un (north wind speed component), Uw (west wind speed component), Uz (vertical wind speed component), Ts (air temperature, not accurate), and diag (wind direction from sonic anemometer) are from the sonic anemometer. The blanks and Null mean that the sensor was not working during that duration (we only use data from elevations of 10 m and 7 m). --------------------- DATA TREE --------------------- | Readme_snowsettlingV2.txt | Schematic.pdf | +---MetData.zip | 0102_met1Hz.xlsx | 0102_met20Hz.xlsx | 0417_met1Hz.xlsx | 0417_met20Hz.xlsx | 1219_met1Hz.xlsx | 1219_met20Hz.xlsx | +---SnowParticleProperties.zip | Aggregates.mat | Dendrite.mat | Graupel.mat | Needle.mat | \---Trajectories.zip Aggregates.mat Dendrites.mat Graupels.mat Needles.mat