A modeller’s fingerprint on hydrodynamic decision support modelling

IF 4.8 2区 环境科学与生态学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Environmental Modelling & Software Pub Date : 2024-08-02 DOI:10.1016/j.envsoft.2024.106167
J.O.E. Remmers, A.J. Teuling, L.A. Melsen
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Abstract

Model results can have far-reaching societal implications, requiring fit-for-purpose models. However, model output is resulting from a particular path chosen with each modelling decision. We interviewed fourteen modellers in the Dutch water management sector in order to study how decision support hydrodynamic modellers make modelling decisions. An inductive-content analysis was performed. We identified eight motivation-categories. Individual and team considerations mostly motivate modelling decisions. We identified patterns between the motivation-categories and their occurrence across modelling steps. Modelling decisions during model implementation were found to be more in the modeller’s direct sphere of influence, while decisions concerning model structure and data selection more outside of it. So, even though modellers can leave their fingerprint, their sphere of influence and thus their fingerprint’s clarity is bound by institutionalised predefined decisions. Thus, models and their results are shaped within a broader sphere than the modeller’s alone, requiring a broader consideration of organisations and standards.

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水动力决策支持建模的建模者指纹
模型结果可能会产生深远的社会影响,这就需要有符合目的的模型。然而,每次建模决策都会选择一条特定的路径,从而产生模型输出结果。我们采访了荷兰水管理部门的 14 位建模人员,以研究决策支持水动力建模人员如何做出建模决策。我们进行了归纳内容分析。我们确定了八个动机类别。个人和团队因素是建模决策的主要动机。我们确定了动机类别之间的模式及其在各个建模步骤中的出现情况。我们发现,模型实施过程中的建模决策更多地受到建模者的直接影响,而有关模型结构和数据选择的决策则更多地受到建模者的影响。因此,尽管建模人员可以留下自己的指纹,但他们的影响范围和指纹的清晰度受到制度化的预定决策的约束。因此,模型及其结果是在一个比建模者更广泛的范围内形成的,需要更广泛地考虑组织和标准。
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来源期刊
Environmental Modelling & Software
Environmental Modelling & Software 工程技术-工程:环境
CiteScore
9.30
自引率
8.20%
发文量
241
审稿时长
60 days
期刊介绍: Environmental Modelling & Software publishes contributions, in the form of research articles, reviews and short communications, on recent advances in environmental modelling and/or software. The aim is to improve our capacity to represent, understand, predict or manage the behaviour of environmental systems at all practical scales, and to communicate those improvements to a wide scientific and professional audience.
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