Procedural knowledge for integrated modelling: Towards the Modelling Playground

Arnold, Thorsten

doi:10.1016/j.envsoft.2012.04.015

Cited by 31 publications

(24 citation statements)

References 25 publications

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“…These approaches have been used to explain and represent the combined dynamics of climate, hydrosystems and anthroposystems and help the decision-makers to evaluate the sustainability of their water management systems. Arnold (2013) underlined the difficulties in developing such approaches that gather together data from diverse disciplines, especially on meso-scale catchments (considered here for catchments from 1000 to 10,000 km 2 ). At this scale, water stakeholders need to identify the limits of water supply capacity that could arise on their territory.…”

Section: Integrated Approach On Water Supply Assessment For Future Immentioning

confidence: 99%

Water supply sustainability and adaptation strategies under anthropogenic and climatic changes of a meso-scale Mediterranean catchment

Collet

Ruelland

Estupina

et al. 2015

Science of The Total Environment

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Section: Integrated Approach On Water Supply Assessment For Future Immentioning

confidence: 99%

Water supply sustainability and adaptation strategies under anthropogenic and climatic changes of a meso-scale Mediterranean catchment

Collet

Ruelland

Estupina

et al. 2015

Science of The Total Environment

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“…Some, such as Laniak et al (2013) and Janssen et al (2009), defined integrated modeling as a simulation tool used in the context of a broader integrated assessment. A more holistic definition is given by Arnold (2013) as a network of activities undertaken by specialists in modeling methods and tools by collaborating closely with interdisciplinary teams. A more holistic definition is given by Arnold (2013) as a network of activities undertaken by specialists in modeling methods and tools by collaborating closely with interdisciplinary teams.…”

Section: Definition and Scopementioning

confidence: 99%

Transition Pathways to Sustainable Agricultural Water Management: A Review of Integrated Modeling Approaches

Haacker

Sharda

Cano

et al. 2019

J American Water Resour Assoc

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Agricultural water management (AWM) is an interdisciplinary concern, cutting across traditional domains such as agronomy, climatology, geology, economics, and sociology. Each of these disciplines has developed numerous process‐based and empirical models for AWM. However, models that simulate all major hydrologic, water quality, and crop growth processes in agricultural systems are still lacking. As computers become more powerful, more researchers are choosing to integrate existing models to account for these major processes rather than building new cross‐disciplinary models. Model integration carries the hope that, as in a real system, the sum of the model will be greater than the parts. However, models based upon simplified and unrealistic assumptions of physical or empirical processes can generate misleading results which are not useful for informing policy. In this article, we use literature and case studies from the High Plains Aquifer and Southeastern United States regions to elucidate the challenges and opportunities associated with integrated modeling for AWM and recommend conditions in which to use integrated models. Additionally, we examine the potential contributions of integrated modeling to AWM — the actual practice of conserving water while maximizing productivity. Editor's note: This paper is part of the featured series on Optimizing Ogallala Aquifer Water Use to Sustain Food Systems. See the February 2019 issue for the introduction and background to the series.

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“…A problem statement contains a targeted interest or concern, context, objectives, questions to be answered, scenarios, solution criteria (i.e., tolerance for uncertainty), and available resources (Arnold, 2012 presents an interesting discussion of this topic from the perspective of the resource manager). The purpose of the problem statement is to provide the information needed to guide the subsequent steps of an IEM application.…”

Section: Figure 3: Iem Science Roadmapmentioning

confidence: 99%

Integrated environmental modeling: A vision and roadmap for the future

Laniak

Olchin

Goodall

et al. 2013

Environmental Modelling & Software

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231

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Abstract:Integrated environmental modeling (IEM) is inspired by modern environmental problems, decisions, and policies and enabled by transdisciplinary science and computer capabilities that allow the environment to be considered in a holistic way. The problems are characterized by the extent of the environmental system involved, dynamic and interdependent nature of stressors and their impacts, diversity of stakeholders, and integration of social, economic, and environmental considerations. IEM provides a science-based structure to develop and organize relevant knowledge and information and apply it to explain, explore, and forecast the behavior of environmental systems in response to human and natural sources of stress. During the past several years a number of workshops were held that brought IEM practitioners together to share experiences and discuss future needs and directions. In this paper we organize and present the results of these discussions. IEM is presented as a landscape containing four interdependent elements: applications, science, technology, and community. The elements are described from the perspective of their role in the landscape, current practices, and challenges that must be addressed. Workshop participants envision a global scale IEM community that leverages modern technologies to streamline the movement of science-based knowledge from its sources in research, through its organization into databases and models, to its integration and application for problem solving purposes. Achieving this vision will require that the global community of IEM stakeholders transcend social, political, and organizational boundaries and pursue greater levels of collaboration. Among the highest priorities for community action are the development of standards for publishing IEM data and models in forms suitable for automated discovery, access, and integration; education of the next generation of environmental stakeholders, with a focus on transdisciplinary research, development, and decision making; and providing a web-based platform for community interactions (e.g., continuous virtual workshops).

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Procedural knowledge for integrated modelling: Towards the Modelling Playground

Cited by 31 publications

References 25 publications

Water supply sustainability and adaptation strategies under anthropogenic and climatic changes of a meso-scale Mediterranean catchment

Water supply sustainability and adaptation strategies under anthropogenic and climatic changes of a meso-scale Mediterranean catchment

Transition Pathways to Sustainable Agricultural Water Management: A Review of Integrated Modeling Approaches

Integrated environmental modeling: A vision and roadmap for the future

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