Index of /arm-iop-file/2022/guc/sailcorsipp/maahn-visss

[ICO]NameLast modifiedSizeDescription
[PARENTDIR]Parent Directory  -  
[DIR]visss/2024-02-02 13:59 -  

VISSS Raw data from SAIL at Gothic from November 2022 to June 2023

Overview:

A Video in situ Snowfall Sensor (VISSS) records shadow images of precipitating hydrometeors from two perspective at a 90 degree angle with a frequency of 140 Hz. From this, hydrometeor properties such as particle size, shape, complexity, degree of riming, and fall velocity can be derived. The VISSS was set up next to the ARM mobile facility during the SAIL project located in the East River Watershed near Crested Butte, Colorado from November 2022 to June 2023. The deployment was funded by the CORSIPP project (Characterization of orography-influenced riming and secondary ice production and their effects on precipitation rates using radar polarimetry and Doppler spectra) funded by the German Research Foundation (DFG). More information about the VISSS can be found in Maahn et al. 2023 (https://dx.doi.org/10.5194/egusphere-2023-655 )

Metadata Creator:
Name: Veronika Ettrichraetz
Email: veronika.ettrichraetz@uni-leipzig.de Phone: 00493419732889
Street: Stephanstr. 3 City: Leipzig
State: Postal: 04103
Contact Info:
Name: Maximilian Maahn
Email: maximilian.maahn@uni-leipzig.de Phone: +49 341 97 32853
Street: Stephanstr. 3 City: Leipzig
State: Postal: 04103
Investigator(s): Maximilian Maahn () 0000-0002-2580-9100
Veronika Ettrichraetz () 0000-0002-0071-5415
Isabelle Steinke (steinke@tudelft.nl) 0000-0001-5173-0626
Related Publications/References:
Maahn, M., Moisseev, D., Steinke, I., Maherndl, N., and Shupe, M. D.: Introducing the Video In Situ Snowfall Sensor (VISSS), EGUsphere [preprint], https://doi.org/10.5194/egusphere-2023-655, 2023.
Data Format:mkv, jpg, txt
Data Citation:https://doi.org/10.5439/2278627
Data Volume:7.1TB
File Naming Convention:visss01_visss_follower_S1143155 or visss01_visss_leader_S1145792 and _YYYYMMDD_hhmmss and _0, Visss01 is the computer, visss the instrument, follower/leader the camera, number is serial number of camera, date and time, level of analysis = 0 = rawdata
Directory Organization:the subdirectories are the date, YYYY/MM/DD
Abstract:

A Video in situ Snowfall Sensor (VISSS) records shadow images of precipitating hydrometeors from two perspective at a 90 degree angle with a frequency of 140 Hz. From this, hydrometeor properties such as particle size, shape, complexity, degree of riming, and fall velocity can be derived. The VISSS was set up next to the ARM mobile facility during the SAIL project located in the East River Watershed near Crested Butte, Colorado from November 2022 to June 2023. The deployment was funded by the CORSIPP project (Characterization of orography-influenced riming and secondary ice production and their effects on precipitation rates using radar polarimetry and Doppler spectra) funded by the German Research Foundation (DFG). More information about the VISSS can be found in Maahn et al. 2023 (https://dx.doi.org/10.5194/egusphere-2023-655 )
Purpose:

Our measurements aim to characterize riming and secondary ice production and their effects on precipitation rates in orographically complex regions using radar polarimetry and Doppler spectra. Our research question is: What processes influence snowfall formation and snowfall rates in orographically ringed terrain and what are their external forcing factors? So far, only a few observations have been made in remote mountainous regions. There are still many gaps in our knowledge of which processes dominate and how they affect precipitation rates. External drivers in complex terrain are poorly understood.
Data Usage:The data provided consists of raw information, specifically the video images captured by the two cameras. Within the data set, only images with moving objects are included. Various tools can be used to analyze the data, including image analysis and other processing steps. These analysis tools are openly available via GitHub at the following link: https://github.com/maahn/VISSSlib. The VISSS dataset is organized into seven different folders, including two sets of videos, two sets of preview images, two sets of metadata (including timestamps), and one folder of daily metadata. Additionally, there is the data from the SONIC in one extra folder.
Data Credit:University Leipzig, Leipziger Institut for Meteorology, DFG for financial support: Grant Nr: 408008112, Many thanks to the staff of RMBL and ARM for their active support in setting up and dismantling VISSS and for taking care of it during the winter.
Arm Sites: guc
Content Time Range: Begin: 2022-11-06 End: 2023-06-06
Data Type:Characterization of orography-influenced riming
Scientific Measurements(s):
Measurement nameVariables
Images of hydrometeors, 2 perspectives
Stratum Keyword(s):
Atmosphere: Troposphere, In-Situ Measurements: Hydrometeors
Data Quality:
Attribute Accuracy: No formal uncertainty assessments were conducted and no estimates of uncertainty are reported.
Positional Accuracy: No formal positional accuracy tests were conducted
Consistency and Completeness Report: Data set is considered complete for the information presented, as described in the abstract. Users are advised to read the rest of the metadata record carefully for additional details.
Factor Affecting the Research: backlight adjustments on: 23/01/19, 23/01/19, 23/01/19, 23/03/05, HD failed: 23/03/11, 23/03/05
Use Restrictions: No use constraints are associated with this data.
Distribution Info:
Organization Name: ARM Archive User Services
Email: armarchive[at]ornl.gov Phone: 1-888-ARM-DATA
Street: Oak Ridge National Laboratory City: Oak Ridge
State: Tennessee Postal: 37831-6290