Ten iterative steps in development and evaluation of environmental models

By Anthony J. Jakeman, R. Kelly, John P. Norton. Environmental Modelling & Software, 2006

1,164 citations recorded by the source corpus.

Subfields: Ocean Engineering, Water Science and Technology

View Paper: https://www.semanticscholar.org/paper/e0c97e61fec50403aaa2d32c92ca21f0e79b2107

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Citations in the corpus

Reconciling oil palm economic development and environmental conservation in Indonesia: A value chain dynamic approach (2020, methodology): “System dynamics modeling was implemented through steps comprising the development of a conceptual model, specification, model verification, and scenario building (Grant et al., 1997; Jakeman et al., 2006).”
Evaluating process-based integrated assessment models of climate change mitigation (2017, background): “This approach derives from the economist, Kaldor, who proposed ‘a stylised view of the facts’ that held when observing economic growth over long time periods, ignoring business cycles or other causes of volatility (Kaldor 1957; Leimbach et al. 2015).”
Model Evaluation: An Adequacy-for-Purpose View (2020, background): “ts note the importance of features other than how a recent examples, see Jakeman et al. (2006), Mäki Elliott and McKaughan (2014), Bolinska (2016), current article provides a framework for thinking t this—in terms of constraints imposed by features ts on the representational features of models.”
The role of expert opinion in environmental modelling (2012, background): “Note that the question of what constitutes a valid test of model 17 assumptions is itself controversial (e.g. Jakeman et al., 2006; Gupta et al., 2008; Bellocchi et 18 al., 2009) and requires opinion again during model evaluation.”
On the Values for the Turbulent Schmidt Number in Environmental Flows (2017, methodology): “More recently, [2] suggested applying the guidelines for model development and evaluation first addressed by [3], i.”
Computational Fluid Dynamics for urban physics: Importance, scales, possibilities, limitations and ten tips and tricks towards accurate and reliable simulations (2015, background): “[198] in the article “Ten iterative steps in development and evaluation of environmental models”, which were later on extended to development and evaluation of process-based biogeochemical models of estuaries by Robson et al.”
A review of artificial neural network models for ambient air pollution prediction (2019, background): “A comprehensive discussion of each step can be found elsewhere (see Galelli et al., 2014; Humphrey et al., 2017; Jakeman et al., 2006; Maier & Dandy, 2000).”
Hydro-economic models: concepts, design, applications, and future prospects. (2009, background): “General rules and good practices of environmental modeling apply here as well (Jakeman et al., 2006).”
Protocol for developing ANN models and its application to the assessment of the quality of the ANN model development process in drinking water quality modelling (2014, background): “The provision of justification was also recognized by Jakeman et al. (2006) as a minimum requirement for reporting on the model calibration process.”
Characterising performance of environmental models (2013, methodology): “Finally, a philosophical debate has aimed to differentiate verification from validation (Jakeman et al., 2006; Oreskes et al., 1994; Refsgaard and Henriksen, 2004).”
CFD simulation for pedestrian wind comfort and wind safety in urban areas: General decision framework and case study for the Eindhoven University campus (2012, background): “In 2006, Jakeman et al. (2006) published an important position paper describing ten iterative steps in the development and evaluation of environmental models, which also apply to CFD models.”
A formal framework for scenario development in support of environmental decision-making (2009, methodology): “Similar strategies for scenario construction using environmental models can be found in Jakeman et al. (2006) and Scholten et al. (2007).”
An effective screening design for sensitivity analysis of large models (2007, background): “Whatever the type of modelling process, certain common steps must be followed if the goal is to obtain credible results and valuable information (see, e.g. Jakeman et al., 2006 for a list of recommended steps in the development of environmental models).”
Guidelines for the application of IUCN Red List of Ecosystems categories and criteria (2015, background): “satisfactory reproduction of observed behaviour, absence of correlation in model residuals (Jakeman et al., 2006).”