EAGLES Liquid Cloud Testbed Large Eddy Simulation Library (v3)
Abstract
This library consists of large eddy simulation (LES) model output using the PINACLES codebase coupled to the Hebrew University Fast Spectral Bin Microphysics scheme representing shallow, liquid phase clouds from four global liquid cloud testbed regions. This data is particularly suitable for examining interactions among cloud, aerosol, and turbulence in warm, boundary-layer clouds and for developing, assessing and refining parameterizations for coarser-scale models.
- Authors:
-
- PNNL
- Publication Date:
- DOE Contract Number:
- AC05-76RL01830
- Research Org.:
- Pacific Northwest National Laboratory 2
- Sponsoring Org.:
- DOE
- OSTI Identifier:
- 2434306
- DOI:
- https://doi.org/10.25584/2434306
Citation Formats
Kaul, Colleen M, Pressel, Kyle G, Shpund, Jacob, Tang, Shuaiqi, and Ma, Po Lun. EAGLES Liquid Cloud Testbed Large Eddy Simulation Library (v3). United States: N. p., 2024.
Web. doi:10.25584/2434306.
Kaul, Colleen M, Pressel, Kyle G, Shpund, Jacob, Tang, Shuaiqi, & Ma, Po Lun. EAGLES Liquid Cloud Testbed Large Eddy Simulation Library (v3). United States. doi:https://doi.org/10.25584/2434306
Kaul, Colleen M, Pressel, Kyle G, Shpund, Jacob, Tang, Shuaiqi, and Ma, Po Lun. 2024.
"EAGLES Liquid Cloud Testbed Large Eddy Simulation Library (v3)". United States. doi:https://doi.org/10.25584/2434306. https://www.osti.gov/servlets/purl/2434306. Pub date:Mon Jun 03 00:00:00 EDT 2024
@article{osti_2434306,
title = {EAGLES Liquid Cloud Testbed Large Eddy Simulation Library (v3)},
author = {Kaul, Colleen M and Pressel, Kyle G and Shpund, Jacob and Tang, Shuaiqi and Ma, Po Lun},
abstractNote = {This library consists of large eddy simulation (LES) model output using the PINACLES codebase coupled to the Hebrew University Fast Spectral Bin Microphysics scheme representing shallow, liquid phase clouds from four global liquid cloud testbed regions. This data is particularly suitable for examining interactions among cloud, aerosol, and turbulence in warm, boundary-layer clouds and for developing, assessing and refining parameterizations for coarser-scale models.},
doi = {10.25584/2434306},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Mon Jun 03 00:00:00 EDT 2024},
month = {Mon Jun 03 00:00:00 EDT 2024}
}
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