Abstract
The Weather Research and Forecasting-Multi Operating System Installation Toolkit (WRF-MOSIT) is a set of scripting packages primarily developed for the automation, configuration, and installation of the standard Weather Research and Forecasting model (WRF), and other WRF applications: hurricane (HWRF), hydrological (WRF-Hydro) and chemical (WRF-Chem). The package consists of many tools for importing, configuring, and installing libraries, and undertaking a wide range of analyses to enhance scalability, performance, interoperability, and ease of use within a parallel computing environment. WRF-MOSIT is a cross-platform modular tool simplifies the installation process, automates configuration, and reduces the risk of errors during installation. It provides a simple and intuitive interface, which makes it easier for users who are not familiar with the installation process. This toolkit can be installed on the four main computer systems used in the atmospheric community: Debian Kernels, Darwin Kernels, Fedora & CentOS Kernels, and Windows Sub-System Linux Kernels, allowing users to install WRF on different systems without having to manually configure the system. The WRF-MOSIT toolkit is freely available on GitHub (https://github.com/HathewayWill/WRF-MOSIT). The toolkit improves efficiency by automating many of the steps involved in the WRF installation process, enabling users to spend less time on the installation process and more time on their research. Finally, insights are given for future developments. The purpose of the WRF-MOSIT is to alleviate the installation hurdles of installing all the requirements and supplementary files, software packages, and pre/post-processing tools to run the different WRF models.
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The WRF-MOSIT toolkit simplifies the installation process, automates configuration, and reduces errors when installing the WRF model.
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It is a cross-platform tool that can be installed on multiple operating systems, including Debian Kernels, Darwin Kernels, Fedora & CentOS Kernels, and Windows Sub-System Linux Kernels.
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The WRF-MOSIT toolkit provides an intuitive interface that makes it easier for users who are not familiar with the installation process to install the WRF model.
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This toolkit is freely available on GitHub and improves efficiency by automating many of the steps involved in the installation process, enabling users to spend more time on their research.
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The paper provides insights into future developments of the WRF-MOSIT toolkit, including the addition of more features and support for other coupled model packages.
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Data availability
Software name: WRF-MOSIT toolkit
Developer: William Hatheway
Email: hatheway.will@gmail.com
Year first available: 2020
Hardware required: Linux (Debian or CentOS Kernel), Darwin Kernel (MacOS), Windows Sub-System Linux (Debian or CentOS Kernel)
Main software required: BASH
Program size: 350 GB after full installation including the mandatory, supplemental, and optional GEOG files
License: GPL-3.0
Repository: https://github.com/HathewayWill/WRF-MOSIT.
Documentations: https://github.com/HathewayWill/WRF-MOSIT/blob/main/README.md.
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Acknowledgements
The authors want to thank the anonymous reviewers for helping to improve the quality of the manuscript.
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This research authors, except HR, did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors. HR is funded by Fonds National de la Recherché – FNR under Industrial Fellowship. IF program project number: 17130773.
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WH designed and drafted the manuscript. WH and HS conceived and coordinated the study. AM and HS carried out the literature review and supervised the research study. HR tested this code on MacOS, arm64 architecture. All authors contributed to code development and testing. All authors read and approved the final manuscript.
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Hatheway, W., Snoun, H., ur Rehman, H. et al. WRF-MOSIT: a modular and cross-platform tool for configuring and installing the WRF model. Earth Sci Inform 16, 4327–4336 (2023). https://doi.org/10.1007/s12145-023-01136-y
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DOI: https://doi.org/10.1007/s12145-023-01136-y