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A Library of Large-eddy Simulations for Calibrating Cloud Parameterizations

Shen, Zhaoyi and Sridhar, Akshay and Tan, Zhihong and Jaruga, Anna and Schneider, Tapio (2021) A Library of Large-eddy Simulations for Calibrating Cloud Parameterizations. . (Unpublished) https://resolver.caltech.edu/CaltechAUTHORS:20210528-094924009

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Abstract

Advances in high-performance computing have enabled large-eddy simulations (LES) of turbulence, convection, and clouds, but their potential to improve parameterizations in global climate models (GCMs) is only beginning to be harnessed. We design an experimental setup in which LES can be driven by large-scale forcings from GCMs. This can be done anywhere in the atmosphere, and we use this setup to create a library of LES of clouds across tropical and subtropical regimes. The LES are used to simulate the transition from stratoculumus to shallow cumulus over the East Pacific. The results are not very sensitive to the choice of the host GCM driving the LES. The setup is also used to simulate clouds under climate change. The LES simulate a positive but weak shortwave cloud feedback. The LES library expands the datasets available for calibrating parameterizations in GCMs.


Item Type:Report or Paper (Discussion Paper)
Related URLs:
URLURL TypeDescription
https://doi.org/10.1002/essoar.10507112.1DOIDiscussion Paper
https://esgf-node.llnl.gov/projects/cmip5/Related ItemCMIP5 data
https://github.com/szy21/pycles_GCM/releases/tag/v1.0Related ItemLES codes
ORCID:
AuthorORCID
Shen, Zhaoyi0000-0002-0444-4720
Tan, Zhihong0000-0002-7422-3317
Jaruga, Anna0000-0003-3194-6440
Schneider, Tapio0000-0001-5687-2287
Additional Information:License: Attribution-NonCommercial-NoDerivatives 4.0 International. We thank Yassine Tissaoui and Simone Marras for helpful discussion. We gratefully acknowledge the generous support of Eric and Wendy Schmidt (by recommendation of Schmidt Futures), Charles Trimble, the Paul G. Allen Family Foundation, and the National Science Foundation (Grant 1835860). The simulations were performed on Caltech's High Performance Cluster, which is partially supported by a grant from the Gordon and Betty Moore Foundation. Part of this research was carried out at the Jet Propulsion Laboratory, California Institute of Technology, under a contract with the National Aeronautics and Space Administration. CMIP5 data can be accessed at https://esgf-node.llnl.gov/projects/cmip5/. The LES codes are available on the GitHub repository https://github.com/szy21/pycles GCM/releases/tag/v1.0. The LES library will be made publicly available upon acceptance of this paper.
Funders:
Funding AgencyGrant Number
Schmidt Futures ProgramUNSPECIFIED
Charles TrimbleUNSPECIFIED
Paul G. Allen Family FoundationUNSPECIFIED
NSFAGS-1835860
Gordon and Betty Moore FoundationUNSPECIFIED
NASA/JPL/CaltechUNSPECIFIED
Record Number:CaltechAUTHORS:20210528-094924009
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20210528-094924009
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:109297
Collection:CaltechAUTHORS
Deposited By: George Porter
Deposited On:28 May 2021 21:02
Last Modified:28 May 2021 21:02

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