A Library of Large-Eddy Simulations Forced by Global Climate Models

Shen, Z.; Sridhar, A.; Tan, Z.; Jaruga, A.; Schneider, T.

doi:10.1029/2021MS002631

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i

A Library of Large-Eddy Simulations Forced by Global Climate Models

2022
By Shen, Z. ; Sridhar, A. ; Tan, Z. ; ...
Source: Journal of Advances in Modeling Earth Systems, 14, e2021MS002631

[PDF-1.14 MB]

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Details:

Journal Title:

Journal of Advances in Modeling Earth Systems
Personal Author:

Shen, Z. ; Sridhar, A. ; Tan, Z. ; Jaruga, A. ; Schneider, T.

Shen, Z. ; Sridhar, A. ; Tan, Z. ; Jaruga, A. ; Schneider, T. Less -
NOAA Program & Office:

CIMES (Cooperative Institute for Modeling the Earth System) ; OAR (Oceanic and Atmospheric Research)

CIMES (Cooperative Institute for Modeling the Earth System) ; OAR (Oceanic and Atmospheric Research) Less -
Description:

Advances in high-performance computing have enabled large-eddy simulations (LES) of turbulence, convection, and clouds. However, their potential to improve parameterizations in global climate models (GCMs) is only beginning to be harnessed, with relatively few canonical LES available so far. The purpose of this paper is to begin creating a public LES library that expands the training data available for calibrating and evaluating GCM parameterizations. To do so, we use an experimental setup in which LES are driven by large-scale forcings from GCMs, which in principle can be used at any location, any time of year, and in any climate state. We use this setup to create a library of LES of clouds across the tropics and subtropics, in the present and in a warmer climate, with a focus on the transition from stratocumulus to shallow cumulus over the East Pacific. The LES results are relatively insensitive to the choice of host GCM driving the LES. Driven with large-scale forcing under global warming, the LES simulate a positive but weak shortwave cloud feedback, adding to the accumulating evidence that low clouds amplify global warming.
Keywords:

[+]

Clouds Global Climate Models (GCMs) Large-eddy Simulations (LES)
Source:

Journal of Advances in Modeling Earth Systems, 14, e2021MS002631
DOI:

https://doi.org/10.1029/2021MS002631
Format:

PDF
Document Type:

Journal Article
Funding:

Grant no. NA18OAR4320123
License:

https://creativecommons.org/licenses/by-nc-nd/4.0/
Rights Information:

CC BY-NC-ND
Compliance:

Submitted
Main Document Checksum:

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urn:sha256:3b99cae36f006595c9081baac413c335606ccabaa1dd5a6fa8a2be6a5cee2b2e
Download URL:

https://repository.library.noaa.gov/view/noaa/50554/noaa_50554_DS1.pdf
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