Liquid-bearing clouds 5-day back-trajectories
Abstract
The data set contains 5-day back-trajectory calculations for cloud layers detected in the MOSAiC sounding data set. The calculations were performed by HYSPLIT informed by ERA5. In addition to trajectory coordinates and altitudes, the data set includes diagnostic and atmospheric state variables along the trajectories as well as trajectory cluster numbers associated with each airmass per Silber and Shupe,2022.
- Authors:
- Publication Date:
- DOE Contract Number:
- DE-AC05-00OR22725
- Research Org.:
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Atmospheric Radiation Measurement (ARM) Archive; Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Atmospheric Radiation Measurement (ARM) Data Center
- Sponsoring Org.:
- USDOE Office of Science (SC), Biological and Environmental Research (BER)
- Collaborations:
- PNNL, BNL, ANL, ORNL
- Subject:
- 54 Environmental Sciences
- Keywords:
- Airmass back-trajectory, ARM, DOE.
- OSTI Identifier:
- 1840519
- DOI:
- https://doi.org/10.5439/1840519
Citation Formats
Silber, Israel. Liquid-bearing clouds 5-day back-trajectories. United States: N. p., 2019.
Web. doi:10.5439/1840519.
Silber, Israel. Liquid-bearing clouds 5-day back-trajectories. United States. doi:https://doi.org/10.5439/1840519
Silber, Israel. 2019.
"Liquid-bearing clouds 5-day back-trajectories". United States. doi:https://doi.org/10.5439/1840519. https://www.osti.gov/servlets/purl/1840519. Pub date:Fri Oct 04 00:00:00 EDT 2019
@article{osti_1840519,
title = {Liquid-bearing clouds 5-day back-trajectories},
author = {Silber, Israel},
abstractNote = {The data set contains 5-day back-trajectory calculations for cloud layers detected in the MOSAiC sounding data set. The calculations were performed by HYSPLIT informed by ERA5. In addition to trajectory coordinates and altitudes, the data set includes diagnostic and atmospheric state variables along the trajectories as well as trajectory cluster numbers associated with each airmass per Silber and Shupe,2022.},
doi = {10.5439/1840519},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2019},
month = {10}
}
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