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Large-sample hydrology: a need to balance depth with breadth

机译:大样本水文学:需要在深度和广度之间取得平衡

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A holy grail of hydrology is to understand catchment processes well enough that models can provide detailed simulations across a variety of hydrologic settings at multiple spatiotemporal scales, and under changing environmental conditions. Clearly, this cannot be achieved only through intensive place-based investigation at a small number of heavily instrumented catchments, or by empirical methods that do not fully exploit our understanding of hydrology. In this opinion paper, we discuss the need to actively promote and pursue the use of a "large catchment sample" approach to modeling the rainfall-runoff process, thereby balancing depth with breadth. We examine the history of such investigations, discuss the benefits (improved process understanding resulting in robustness of prediction at ungauged locations and under change), examine some practical challenges to implementation and, finally, provide perspectives on issues that need to be taken into account as we move forward. Ultimately, our objective is to provoke further discussion and participation, and to promote a potentially important theme for the upcoming Scientific Decade of the International Association of Hydrological Sciences entitled Panta Rhei. 1 Introduction "Because almost any model with sufficient free parameters can yield good results when applied to a short sample from a single catchment, effective testing requires that models be tried on many catchments of widely differing characteristics, and that each trial cover a period of many years." (Linsley, 1982).
机译:水文学的一个圣杯是要充分了解流域过程,以使模型可以在多个时空范围内以及在变化的环境条件下提供各种水文环境的详细模拟。显然,这只能通过在少量使用大量仪器的集水区进行密集的基于地点的调查,或者无法充分利用我们对水文学的认识的经验方法来实现。在这篇意见书中,我们讨论了积极促进和追求使用“大流域样本”方法来模拟降雨径流过程的需求,从而在深度和广度之间取得平衡。我们检查了此类调查的历史,讨论了其好处(提高了对流程的了解,从而使无人值守的地点和处于变化中的预测变得更加稳健),检查了实施过程中的一些实际挑战,最后,就需要考虑的问题提供了观点我们前进。最终,我们的目标是激发进一步的讨论和参与,并为即将到来的国际水文科学协会科学十年的名为Panta Rhei的科学主题推广一个潜在的重要主题。 1引言“由于几乎所有具有足够自由参数的模型在应用于单个流域的短样本时都可以产生良好的结果,因此有效的测试要求在具有广泛不同特征的许多流域上尝试模型,并且每个试验都涵盖许多周期年份。” (Linsley,1982)。

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