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Journal ArticleDOI

Progress in integrated assessment and modelling

Paul Parker, +44 more
- 01 Jan 2002 - 
- Vol. 17, Iss: 3, pp 209-217
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TLDR
By learning to work together and recognise the contribution of all team members and participants, it is believed that the authors will have a strong scientific and social basis to address the environmental problems of the 21st Century.
Abstract
Environmental processes have been modelled for decades. However. the need for integrated assessment and modeling (IAM) has,town as the extent and severity of environmental problems in the 21st Century worsens. The scale of IAM is not restricted to the global level as in climate change models, but includes local and regional models of environmental problems. This paper discusses various definitions of IAM and identifies five different types of integration that Lire needed for the effective solution of environmental problems. The future is then depicted in the form of two brief scenarios: one optimistic and one pessimistic. The current state of IAM is then briefly reviewed. The issues of complexity and validation in IAM are recognised as more complex than in traditional disciplinary approaches. Communication is identified as a central issue both internally among team members and externally with decision-makers. stakeholders and other scientists. Finally it is concluded that the process of integrated assessment and modelling is considered as important as the product for any particular project. By learning to work together and recognise the contribution of all team members and participants, it is believed that we will have a strong scientific and social basis to address the environmental problems of the 21st Century.

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Position Paper11Position papers aim to synthesise some key aspect of the knowledge platform for environmental modelling and software issues. The review process is twofold - a normal external review process followed by extensive review by EMS Board members. See the Editorial in this issue.: Ten iterative steps in development and evaluation of environmental models

TL;DR: In this article, the authors outline ten basic steps of good, disciplined model practice, including identifying clearly the clients and objectives of the modelling exercise, documenting the nature (quantity, quality, limitations) of the data used to construct and test the model, providing a strong rationale for the choice of model family and features, justifying the techniques used to calibrate the model; serious analysis, testing and discussion of model performance; and making a resultant statement of model assumptions, utility, accuracy, limitations, and scope for improvement.
Journal ArticleDOI

Hydro-economic models: concepts, design, applications, and future prospects.

TL;DR: This paper identifies the key steps in model design and diverse problems, formulations, levels of integration, spatial and temporal scales, and solution techniques addressed and used by over 80 hydro-economic modeling efforts dating back 45 years from 23 countries.
Journal ArticleDOI

Integrated assessment of agricultural systems: a component - based framework for the European Union (Seamless)

TL;DR: The SEAMLESS Integrated Framework for Agricultural Systems (SEAMLESS) as discussed by the authors is a framework to assess, ex-ante, agricultural and agri-environmental policies and technologies across a range of scales, from field-farm to region and European Union, as well as some global interactions.
References
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Book

Complexity: The Emerging Science at the Edge of Order and Chaos

TL;DR: In a rented convent in Santa Fe, a revolution has been brewing: Nobel Laureates in physics and economics such as Murray Gell-Mann and Kenneth Arrow, and pony-tailed graduate students, mathematicians, and computer scientists down from Los Alamos are gathering novel ideas about interconnectedness, coevolution, chaos, structure, and order and forging them into an entirely new, unified way of thinking about nature, human social behavior, life, and the universe itself.
Journal ArticleDOI

Evaluation (not validation) of quantitative models.

TL;DR: It is argued that it is not possible to demonstrate the predictive reliability of any model of a complex natural system in advance of its actual use, and modelers and policymakers must continue to work toward finding effective ways to evaluate and judge the quality of their models.
Journal ArticleDOI

Learning from integrated assessment of climate change

TL;DR: In this paper, the authors summarized insights gained from five years of integrated assessment activity at Carnegie Mellon, and argued that many conventional tools for policy analysis are not adequate to deal with climate problems.
Journal ArticleDOI

Integrated Environmental Management: Moving from Theory to Practice

TL;DR: In this article, the authors link elements of ecosystem management and related fields with interaction to offer a new operational definition and practice paradigm for integrated environmental management, focusing on stakeholder interactions, and analyse the principle communication and conflict resolution tools employed in integrated approaches.
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