Credit - DOE/NV/03624—1517 2021 Environmental Report
Credit - DOE/NV/03624—1517 2021 Environmental Report



Introduction
This dataset contains pressure values and additional metadata of dust devil events recorded from 2012 to 2019 at 16 stations at the Nevada National Security Site. Dust devils, a type of small-scale convective vortex, manifest as significant short-duration anomalies in meteorological time-series data, such as pressure and temperature. These vortices are identified by characteristic dips in pressure time-series, which are typically less than 1% of the background value and roughly symmetric in time.

This dataset was collected using Hyperion infrasound micro-barometers deployed in the valley bottom of the Nevada National Security Site. These instruments detect low-frequency sound waves (infrasound) generated by convective vortices, including dust devils. The instruments were configured to log data continuously to ensure comprehensive coverage of dust devil events.

Reference
Berg, E.M., L.J. Utrecho, S. Krishnamoorthy, E.A. Silber, A. Sparks, and D.C. Bowman (2024) An accurate and Automated Convective Vortex Detection Method for Long-Duration Infrasound Microbarometer Data, Journal of Atmospheric and Oceanic Technology, 41, 341-354. https://doi.org/10.1175/JTECH-D-23-0037.1

Accessing the data bundle


Documentation

Readme file Irma, I don't have the link to this
User's Guide


The Data
There are 2 folders in Data Derived. The Streams folder contains a series of csv and xml files for each event tabulating pressure in Pascals vs time and the Metadata folder contains csv and xml files for each event giving detailed information. For the contents of the metadata files see Dust Devil Data that contains the first 5 entries in the Metadata folder.

To retrieve the data access the Compressed Data File Link this later

Citing datasets for publication
PDS recommendations for citing data sets can be found here.

Bowman, D. et al., (2024). Dust Devil Field Study at Nevada National Security Site (NNSS), NASA Planetary Data System, http://doi.org/10.17189/58e0-1450.