Journal article
A framework for characterising and evaluating the effectiveness of environmental modelling
Environmental modelling & software : with environment data news, Vol.118, pp.83-98
08/2019
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Abstract
Environmental modelling is transitioning from the traditional paradigm that focuses on the model and its quantitative performance to a more holistic paradigm that recognises successful model-based outcomes are closely tied to undertaking modelling as a social process, not just as a technical procedure. This paper redefines evaluation as a multi-dimensional and multi-perspective concept, and proposes a more complete framework for identifying and measuring the effectiveness of modelling that serves the new paradigm. Under this framework, evaluation considers a broader set of success criteria, and emphasises the importance of contextual factors in determining the relevance and outcome of the criteria. These evaluation criteria are grouped into eight categories: project efficiency, model accessibility, credibility, saliency, legitimacy, satisfaction, application, and impact. Evaluation should be part of an iterative and adaptive process that attempts to improve model-based outcomes and foster pathways to better futures.
Details
- Title
- A framework for characterising and evaluating the effectiveness of environmental modelling
- Creators
- Serena H. Hamilton - Edith Cowan UniversityBaihua Fu - Australian National UniversityJoseph H.A. Guillaume - Australian National UniversityJennifer Badham - Queen's University BelfastSondoss Elsawah - Australian National UniversityPatricia Gober - Arizona State UniversityRandall J. Hunt - United States Geological SurveyTakuya Iwanaga - Australian National UniversityAnthony J. Jakeman - Australian National UniversityDaniel P. Ames - Brigham Young UniversityAllan Curtis - Charles Sturt UniversityMary C. Hill - University of KansasSuzanne A. Pierce - The University of Texas at AustinFateme Zare - Australian National University
- Publication Details
- Environmental modelling & software : with environment data news, Vol.118, pp.83-98
- Publisher
- Elsevier Ltd
- Identifiers
- 991013125984502368
- Copyright
- © 2019 Elsevier Ltd. All rights reserved.
- Academic Unit
- Faculty of Science and Engineering
- Language
- English
- Resource Type
- Journal article