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Perceptual perplexity and parameter parsimony

机译:感知困惑和参数简约

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摘要

Abstract This article reconsiders the concept of a perceptual model of hydrological processes as the first stage to be considered in developing a procedural model for a particular catchment area. While various perceptual models for experimental catchments have been developed, the concept is not widely used in defining or evaluating catchment models. This is, at least in part, because of the evident complexity possible in a perceptual model and the approximate nature of procedural model structures and parameterizations, particularly where there is a requirement for parameter parsimony. A perceptual model for catchments in Cumbria, North‐West England, is developed as an exemplar and illustrated in terms of time varying distribution functions. Two critical questions are addressed: how can perceptual model hypotheses be tested at scales of interest, and how can constraints then be imposed on the basis of qualitative perceptual knowledge in conditioning predictive models? It is suggested that there is value in perceptual information, particularly in thinking about predicting the impacts of future change and that we still have much to learn about moving from observational and perceptual complexity to parsimonious predictability. This article is categorized under: Science of Water > Hydrological Processes Science of Water > Methods
机译:摘要本文将水文过程感知模型的概念重新化为在开发特定集水区域的程序模型中要考虑的第一阶段。尽管已经开发了各种实验流域的感知模型,但该概念并未广泛用于定义或评估集水区模型。这至少部分是因为感知模型中可能存在明显的复杂性以及程序模型结构和参数化的近似性质,尤其是在需要参数简约的情况下。英格兰北部坎布里亚郡集水区的感知模型是作为示例开发的,并在时间变化的分布功能方面进行了说明。解决了两个关键问题:如何以感知模型假设在感兴趣的范围内测试,如何在调节预测模型中基于定性感知知识强加的约束?有人建议,感知信息具有价值,尤其是在考虑预测未来变化的影响时,我们仍然有很多关于从观察和感知复杂性转变为简约可预测性的知识。本文分类为:水科学>水文流程科学>方法

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