Introductory overview: The OpenMI 2.0 standard for integrating numerical models

Harpham, Quillon; Hughes, Andrew; Moore, Roger

doi:10.1016/j.envsoft.2019.104549

Cited by 31 publications

(18 citation statements)

References 24 publications

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“…Growth of a community framework does not happen by accident, however. Case studies of community frameworks, libraries, and other software packages reveal that success requires two elements: a thoughtful, deliberate approach to community engagement (Bangerth and Heister, 2013;Turk, 2013;Lawrence et al, 2015), and carefully designed standards and protocols (Peckham et al, 2013;Harpham et al, 2019 The opportunities and growing pains that face scientific computing generally also apply to the sciences that deal with the Earth's surface. To embrace these opportunities, the CSDMS Integration Facility was launched in 2007 with a mission to accelerate the pace of discovery in Earth-surface processes research.…”

Section: New Community Practicesmentioning

confidence: 99%

CSDMS: A community platform for numerical modeling of Earth-surface processes

Tucker

Hutton

Piper

et al. 2021

Preprint

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Abstract. Computational modelling occupies a unique niche in Earth and environmental sciences. Models serve not just as scientific technology and infrastructure, but also as digital containers of the scientific community's understanding of the natural world. As this understanding improves, so too must the associated software. This dual nature–models as both infrastructure and hypotheses–means that modelling software must be designed to evolve continually as geoscientific knowledge itself evolves. Here we describe design principles, protocols, and tools developed by the Community Surface Dynamics Modeling System (CSDMS) to promote a flexible, interoperable, and ever-improving research software ecosystem. These include a community repository for model sharing and metadata, interface and ontology standards for model interoperability, language bridging tools, a modular programming library for model construction, modular software components for data access, and a Python-based execution and model-coupling framework. Methods of community support and engagement that help create a community-centered software ecosystem are also discussed.

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Section: New Community Practicesmentioning

confidence: 99%

CSDMS: A community platform for numerical modeling of Earth-surface processes

Tucker

Hutton

Piper

et al. 2021

Preprint

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“…lines 26-34 in Script 7, where the pass statements should be replaced by the 205 actual implementation of these methods). This initialise-run-finalise (IRF) paradigm is based on the interfacing standards BMI (Peckham et al, 2013;Hutton et al, 2020) and OpenMI (Harpham et al, 2019).…”

Section: Simulationmentioning

confidence: 99%

“…The Open Modelling Interface (OpenMI) has been developed to provide an international standard to link hydrological and hydraulic models as components. It has been implemented as a flexible approach for allowing models as components to be linked at runtime (Harpham et al, 2019). Such intermediate modularity is already a reality within the Earth system modelling community, where atmosphere, ocean, and land components together simulate the dynamics of the Earth system.…”

Section: Introductionmentioning

confidence: 99%

UniFHy v0.1: A community framework for the terrestrial water cycle in Python

Hallouin

Ellis

Clark

et al. 2021

Preprint

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Abstract. Land surface, hydrological, and groundwater modelling communities all have expertise in simulating the hydrological processes at play in the land system, but these communities have largely remained distinct with limited collaboration between disciplines. In order to address key societal questions regarding the future availability of water resources and the intensity of extreme events such as floods and droughts in a changing climate, these communities must build on the strengths of one another. The development of a common modelling infrastructure, a framework, can contribute to stimulating cross-fertilisation between them. By allowing (parts of) their existing models to be coupled together, improved land system models can be built to better understand and simulate the terrestrial hydrological cycle. This paper presents a Python implementation of such a framework named the Unified Framework for Hydrology (unifhy). The framework aims to provide the technical infrastructure required to couple models, taking into account the specific needs of a land system model. Its conceptual design and technical capabilities are outlined first, before its usage and useful characteristics are demonstrated through case studies. The limitations of the current framework and necessary future developments are finally presented as a road map for later versions and/or other implementations of the framework.

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“…Существующие в настоящее время стандарты каркасов моделирования [5,6] Наибольший интерес и перспективу в настоящее время представляют открытые каркасы, которые изначально разрабатывались с целью применения большим сообществом разработчиков моделей. Можно выделить два основных типа каркасов моделирования:…”

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Towards Implementation of Component-Based Modeling in the Platform for Creating Knowledge-Based Systems

Stolbov¹,

Lempert²,

Pavlov³

2022

Информационные И Математические Технологии В Науке И Управлении

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В статье исследуются проблемы автоматизации и интеллектуальной поддержки процесса математического и имитационного моделирования сложных объектов за счёт комбинации компонентно-ориентированного и онтологического подходов. В качестве основной прикладной области для применения обсуждаемых методов и средств предполагается использовать такое направление, как комплексное моделирование окружающей среды. В контексте изучаемых вопросов рассмотрены современные подходы к автоматизации компонентно-ориентированного моделирования. При интеграции компонентов-моделей в единую результирующую комплексную модель разработчику необходимо не только обеспечить формальное согласование со стандартами используемого каркаса моделирования, но и учитывать различные типы семантической и синтаксической неоднородности компонентов. В связи с этим выполнена классификация типов интеграции комплексных моделей, обсуждаются особенности реализации компонентно-ориентированного моделирования в авторской платформе создания систем, основанных на знаниях. В качестве иллюстративного примера рассматривается гидролого-экологическая балансовая модель. The article considers the problems of automation and intellectual support of the mathematical and simulation modeling process of complex objects via a combination of component-based and ontological approaches. As the main application area for the discussed methods and tools, it is proposed to use the integrated environmental modeling domain. In this context, modern approaches to the automation of component-based modeling are considered. To couple model components into a final complex model, the developer needs not only to ensure formal agreement with the standards of the modeling framework but also to take into account various types of semantic and syntactic heterogeneity of components. In this regard, the classification of the integration types for complex modeling is carried out, the related implementation features in the author's platform for creating knowledge-based systems are discussed. The hydrological-ecological balance model is considered an illustrative example.

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Introductory overview: The OpenMI 2.0 standard for integrating numerical models

Cited by 31 publications

References 24 publications

CSDMS: A community platform for numerical modeling of Earth-surface processes

CSDMS: A community platform for numerical modeling of Earth-surface processes

UniFHy v0.1: A community framework for the terrestrial water cycle in Python

Towards Implementation of Component-Based Modeling in the Platform for Creating Knowledge-Based Systems

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