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Advancing Process Representation in Hydrological Models: Integrating New Concepts, Knowledge, and Data
Water Resources Research ( IF 5.4 ) Pub Date : 2021-10-14 , DOI: 10.1029/2021wr030661
Björn Guse 1 , Simone Fatichi 2 , Shervan Gharari 3 , Lieke A. Melsen 4
Affiliation  

Model fidelity and accuracy in process representations have been the crux of scientific hydrological modeling, creating a pressing need for a better linkage between the development of hydrological models and the growing number of data sources and measurement techniques. Improved representation of process dynamics in hydrological models can provide new insights into complex hydrological systems and point out less understood natural phenomena that need further investigation. This special issue includes contributions that offer potential solutions and strategies to improve and test the representation of hydrological processes. We have organized the special issue contributions into four topical categories: (a) Beyond streamflow, which looks into the power of complementary data sources in addition to traditionally used streamflow for process inference. (b) Challenge of subsurface hydrology, that reflects on lesser understood processes under the surface and their impact on the model structure. (c) Evaporation in hydrological modeling, linking ecological aspects to the hydrological functioning of the natural system. Finally, (d) top down vs. bottom up modeling approaches, relied upon for process representation analysis. The special issue and our reflection on the contributions present a snapshot of ongoing efforts for integrating new concepts, knowledge, and data in process representation in hydrological models.

中文翻译:

推进水文模型中的过程表示:整合新概念、知识和数据

过程表示中的模型保真度和准确性一直是科学水文建模的关键,迫切需要在水文模型的开发与越来越多的数据源和测量技术之间建立更好的联系。改进水文模型中过程动力学的表示可以提供对复杂水文系统的新见解,并指出需要进一步调查的鲜为人知的自然现象。本期特刊包括为改进和测试水文过程表示提供潜在解决方案和策略的贡献。我们将特刊贡献分为四个主题类别:(a) Beyond streamflow,除了传统使用的用于过程推理的流流之外,它还研究了补充数据源的力量。(b) 地下水文学的挑战,反映了对地表下鲜为人知的过程及其对模型结构的影响。(c) 水文模型中的蒸发,将生态方面与自然系统的水文功能联系起来。最后,(d)自顶向下与自底向上建模方法,依赖于流程表示分析。特刊和我们对贡献的反思展示了在水文模型的过程表示中整合新概念、知识和数据的持续努力的快照。(d) 自上而下与自下而上建模方法,依赖于流程表示分析。特刊和我们对贡献的反思展示了在水文模型的过程表示中整合新概念、知识和数据的持续努力的快照。(d) 自上而下与自下而上建模方法,依赖于流程表示分析。特刊和我们对贡献的反思展示了在水文模型的过程表示中整合新概念、知识和数据的持续努力的快照。
更新日期:2021-11-12
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