Enhancing the accessibility of unified modeling systems: GFDL System for High-resolution prediction on Earth-to-Local Domains (SHiELD) v2021b in a container

Cheng, Kai-Yuan; Harris, Lucas M.; Sun, Yong Qiang

doi:10.5194/gmd-15-1097-2022

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Enhancing the accessibility of unified modeling systems: GFDL System for High-resolution prediction on Earth-to-Local Domains (SHiELD) v2021b in a container

2022
By Cheng, Kai-Yuan ; Harris, Lucas M. ; Sun, Yong Qiang
Source: Geoscientific Model Development., 15(3), 1097–1105

[PDF-3.40 MB]

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Details:

Journal Title:

Geoscientific Model Development
Personal Author:

Cheng, Kai-Yuan ; Harris, Lucas M. ; Sun, Yong Qiang

Cheng, Kai-Yuan ; Harris, Lucas M. ; Sun, Yong Qiang Less -
NOAA Program & Office:

CIMES (Cooperative Institute for Modeling the Earth System) ; OAR (Oceanic and Atmospheric Research) ; GFDL (Geophysical Fluid Dynamics Laboratory)

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

Container technology provides a pathway to facilitate easy access to unified modeling systems and opens opportunities for collaborative model development and interactive learning. In this paper, we present the implementation of software containers for the System for High-resolution prediction on Earth-to-Local Domains (SHiELD), a unified atmospheric model for weather-to-seasonal prediction. The containerized SHiELD is cross-platform and easy to install. Flexibility of the containerized SHiELD is demonstrated as it can be configured as a global, a global–nest, and a regional model. Bitwise reproducibility is achieved on various x86 systems tested in this study. Performance and scalability of the containerized SHiELD are evaluated and discussed.
Source:

Geoscientific Model Development., 15(3), 1097–1105
DOI:

https://doi.org/10.5194/gmd-15-1097-2022
Document Type:

Journal Article
Funding:

Grant no. NA18OAR4320123 ; Grant no. NA19OAR0220145 ; Grant no. NA19OAR0220146

Grant no. NA18OAR4320123 ; Grant no. NA19OAR0220145 ; Grant no. NA19OAR0220146 Less -
Rights Information:

CC BY
Compliance:

Submitted
Main Document Checksum:

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urn:sha256:11995ac0120978233dc1f2e485c858f9bbdca0a30f214dfc84f53a21e7115d76
Download URL:

https://repository.library.noaa.gov/view/noaa/43134/noaa_43134_DS1.pdf
File Type:

Machine readable version (XML)

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