U.S. Department of EnergyOffice of Scientific and Technical Information
Back Trajectories during SAIL
Abstract
This data set contains air mass back trajectories generated during the Surface Atmosphere Integrated Field Laboratory (SAIL) campaign using the Hybrid Single-Particle Lagrangian Integrated Trajectory model (HYSPLIT, Stein et al. 2015, Rolph et al. 2017). For each hour from January 1, 2021 to June 30, 2023, a 96-hour back trajectory was initiated at the SAIL sampling site, starting 100 m above ground level. The calculations used the GDAS meteorological data set with model vertical velocity. The files within this dataset show location and meteorological parameters of the back trajectory analysis. There are 21 columns within each data file. The first 2 columns pertain to back trajectory parameters: the trajectory number (which is always 1) and the meteorological grid number. The next 9 columns pertain to spatiotemporal information: the year, month, day, hour (0-23), and minute of the trajectory, the previous time of the trajectory (in negative hours), and the airmass location (latitude, longitude, and height in m AGL). The rest of the parameters within each file pertains to surface and meteorological characteristics of the airmass: pressure (in hPa), potential temperature (in K), temperature (in K), precipitation rate (in mm/hr), mixing depth (in m), relative humidity (in % relative to liquid water), specificmore »
- Publication Date:
- DOE Contract Number:
- AC05-00OR22725
- Research Org.:
- Atmospheric Radiation Measurement User Facility
- Sponsoring Org.:
- USDOE Office of Science (SC), Biological and Environmental Research (BER)
- Collaborations:
- PNNL, BNL, ANL, ORNL
- Subject:
- back trajectory
- OSTI Identifier:
- 2574969
- DOI:
- https://doi.org/10.5439/2574969
Citation Formats
Zhou, Ruichen, Perkins, Russell, Kreidenweis, Sonia, and Ayars, Kelton. Back Trajectories during SAIL. United States: N. p., 2025.
Web. doi:10.5439/2574969.
Zhou, Ruichen, Perkins, Russell, Kreidenweis, Sonia, & Ayars, Kelton. Back Trajectories during SAIL. United States. doi:https://doi.org/10.5439/2574969
Zhou, Ruichen, Perkins, Russell, Kreidenweis, Sonia, and Ayars, Kelton. 2025.
"Back Trajectories during SAIL". United States. doi:https://doi.org/10.5439/2574969. https://www.osti.gov/servlets/purl/2574969. Pub date:Wed Aug 06 04:00:00 UTC 2025
@article{osti_2574969,
title = {Back Trajectories during SAIL},
author = {Zhou, Ruichen and Perkins, Russell and Kreidenweis, Sonia and Ayars, Kelton},
abstractNote = {This data set contains air mass back trajectories generated during the Surface Atmosphere Integrated Field Laboratory (SAIL) campaign using the Hybrid Single-Particle Lagrangian Integrated Trajectory model (HYSPLIT, Stein et al. 2015, Rolph et al. 2017). For each hour from January 1, 2021 to June 30, 2023, a 96-hour back trajectory was initiated at the SAIL sampling site, starting 100 m above ground level. The calculations used the GDAS meteorological data set with model vertical velocity. The files within this dataset show location and meteorological parameters of the back trajectory analysis. There are 21 columns within each data file. The first 2 columns pertain to back trajectory parameters: the trajectory number (which is always 1) and the meteorological grid number. The next 9 columns pertain to spatiotemporal information: the year, month, day, hour (0-23), and minute of the trajectory, the previous time of the trajectory (in negative hours), and the airmass location (latitude, longitude, and height in m AGL). The rest of the parameters within each file pertains to surface and meteorological characteristics of the airmass: pressure (in hPa), potential temperature (in K), temperature (in K), precipitation rate (in mm/hr), mixing depth (in m), relative humidity (in % relative to liquid water), specific humidity (in g/kg), H2O mixing ratio (in g/kg), underlying terrain height (in meters above sea level), and incoming radiation (in W/m^2).},
doi = {10.5439/2574969},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Wed Aug 06 04:00:00 UTC 2025},
month = {Wed Aug 06 04:00:00 UTC 2025}
}