Model infrastructure integration and interoperability (MI3)
Model infrastructure integration and interoperability (MI3)
Editor(s): GMD topic editors | Coordinator: R. Dunlap
Geoscience model infrastructure provides architecture and services for building physics-based numerical models and combining multiple models into a coupled system. Examples of model infrastructure are software libraries and frameworks that provide data structures and functions for parallel data transfer and grid interpolation, define a common interface for model components, manage a model's control flow, abstract details of parallel programming, or provide supporting capabilities such as configuration management and file I/O. The special issue of GMD is dedicated to exploring all aspects of model infrastructure integration and interoperability. Model infrastructure integration is the software engineering process of adopting an infrastructure package into a numerical model's codebase, to address new scientific requirements, enable interoperability with other models, or to improve a model's performance. Model infrastructure interoperability is required whenever multiple infrastructure packages must interact in some way in a coupled system, for example, to couple model components that originate from different scientific communities into a single cohesive system. Topics of interest for this issue include but are not limited to the following: the design and implementation of geoscience model infrastructure software; experience reports on integrating infrastructure into models; modelling systems that span scientific communities; framework interoperability, metadata and semantic mediation; performance on emerging hardware platforms; configuration and build management; and tools that support infrastructure integration, code refactoring, verification, or debugging.

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30 May 2024
Modelling water quantity and quality for integrated water cycle management with the Water Systems Integrated Modelling framework (WSIMOD) software
Barnaby Dobson, Leyang Liu, and Ana Mijic
Geosci. Model Dev., 17, 4495–4513, https://doi.org/10.5194/gmd-17-4495-2024,https://doi.org/10.5194/gmd-17-4495-2024, 2024
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07 Nov 2023
CIOFC1.0: a common parallel input/output framework based on C-Coupler2.0
Xinzhu Yu, Li Liu, Chao Sun, Qingu Jiang, Biao Zhao, Zhiyuan Zhang, Hao Yu, and Bin Wang
Geosci. Model Dev., 16, 6285–6308, https://doi.org/10.5194/gmd-16-6285-2023,https://doi.org/10.5194/gmd-16-6285-2023, 2023
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25 May 2023
C-Coupler3.0: an integrated coupler infrastructure for Earth system modelling
Li Liu, Chao Sun, Xinzhu Yu, Hao Yu, Qingu Jiang, Xingliang Li, Ruizhe Li, Bin Wang, Xueshun Shen, and Guangwen Yang
Geosci. Model Dev., 16, 2833–2850, https://doi.org/10.5194/gmd-16-2833-2023,https://doi.org/10.5194/gmd-16-2833-2023, 2023
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06 Jan 2023
WRF–ML v1.0: a bridge between WRF v4.3 and machine learning parameterizations and its application to atmospheric radiative transfer
Xiaohui Zhong, Zhijian Ma, Yichen Yao, Lifei Xu, Yuan Wu, and Zhibin Wang
Geosci. Model Dev., 16, 199–209, https://doi.org/10.5194/gmd-16-199-2023,https://doi.org/10.5194/gmd-16-199-2023, 2023
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12 May 2021
Developing a common, flexible and efficient framework for weakly coupled ensemble data assimilation based on C-Coupler2.0
Chao Sun, Li Liu, Ruizhe Li, Xinzhu Yu, Hao Yu, Biao Zhao, Guansuo Wang, Juanjuan Liu, Fangli Qiao, and Bin Wang
Geosci. Model Dev., 14, 2635–2657, https://doi.org/10.5194/gmd-14-2635-2021,https://doi.org/10.5194/gmd-14-2635-2021, 2021
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10 Dec 2020
DiRong1.0: a distributed implementation for improving routing network generation in model coupling
Hao Yu, Li Liu, Chao Sun, Ruizhe Li, Xinzhu Yu, Cheng Zhang, Zhiyuan Zhang, and Bin Wang
Geosci. Model Dev., 13, 6253–6263, https://doi.org/10.5194/gmd-13-6253-2020,https://doi.org/10.5194/gmd-13-6253-2020, 2020
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26 Jul 2019
PatCC1: an efficient parallel triangulation algorithm for spherical and planar grids with commonality and parallel consistency
Haoyu Yang, Li Liu, Cheng Zhang, Ruizhe Li, Chao Sun, Xinzhu Yu, Hao Yu, Zhiyuan Zhang, and Bin Wang
Geosci. Model Dev., 12, 3311–3328, https://doi.org/10.5194/gmd-12-3311-2019,https://doi.org/10.5194/gmd-12-3311-2019, 2019
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16 Jan 2019
Toward modular in situ visualization in Earth system models: the regional modeling system RegESM 1.1
Ufuk Utku Turuncoglu
Geosci. Model Dev., 12, 233–259, https://doi.org/10.5194/gmd-12-233-2019,https://doi.org/10.5194/gmd-12-233-2019, 2019
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31 Aug 2018
C-Coupler2: a flexible and user-friendly community coupler for model coupling and nesting
Li Liu, Cheng Zhang, Ruizhe Li, Bin Wang, and Guangwen Yang
Geosci. Model Dev., 11, 3557–3586, https://doi.org/10.5194/gmd-11-3557-2018,https://doi.org/10.5194/gmd-11-3557-2018, 2018
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08 Sep 2017
Development and performance of a new version of the OASIS coupler, OASIS3-MCT_3.0
Anthony Craig, Sophie Valcke, and Laure Coquart
Geosci. Model Dev., 10, 3297–3308, https://doi.org/10.5194/gmd-10-3297-2017,https://doi.org/10.5194/gmd-10-3297-2017, 2017
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13 Apr 2017
The COSMO-CLM 4.8 regional climate model coupled to regional ocean, land surface and global earth system models using OASIS3-MCT: description and performance
Andreas Will, Naveed Akhtar, Jennifer Brauch, Marcus Breil, Edouard Davin, Ha T. M. Ho-Hagemann, Eric Maisonnave, Markus Thürkow, and Stefan Weiher
Geosci. Model Dev., 10, 1549–1586, https://doi.org/10.5194/gmd-10-1549-2017,https://doi.org/10.5194/gmd-10-1549-2017, 2017
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11 Oct 2016
Coarse-grained component concurrency in Earth system modeling: parallelizing atmospheric radiative transfer in the GFDL AM3 model using the Flexible Modeling System coupling framework
V. Balaji, Rusty Benson, Bruce Wyman, and Isaac Held
Geosci. Model Dev., 9, 3605–3616, https://doi.org/10.5194/gmd-9-3605-2016,https://doi.org/10.5194/gmd-9-3605-2016, 2016
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22 Aug 2016
YAC 1.2.0: new aspects for coupling software in Earth system modelling
Moritz Hanke, René Redler, Teresa Holfeld, and Maxim Yastremsky
Geosci. Model Dev., 9, 2755–2769, https://doi.org/10.5194/gmd-9-2755-2016,https://doi.org/10.5194/gmd-9-2755-2016, 2016
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09 Jun 2016
A new adaptive data transfer library for model coupling
Cheng Zhang, Li Liu, Guangwen Yang, Ruizhe Li, and Bin Wang
Geosci. Model Dev., 9, 2099–2113, https://doi.org/10.5194/gmd-9-2099-2016,https://doi.org/10.5194/gmd-9-2099-2016, 2016
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19 Feb 2016
Bitwise identical compiling setup: prospective for reproducibility and reliability of Earth system modeling
R. Li, L. Liu, G. Yang, C. Zhang, and B. Wang
Geosci. Model Dev., 9, 731–748, https://doi.org/10.5194/gmd-9-731-2016,https://doi.org/10.5194/gmd-9-731-2016, 2016
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