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Title: 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:
; ; ; ; ORCiD logo
  1. 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}
}