Hydrological field data from a modeller's perspective: Part 1. Diagnostic tests for model structure

Hilary K. McMillan, Martyn P. Clark, William B. Bowden, Maurice Duncan, Ross A. Woods

Research output: Contribution to journalArticle (Academic Journal)peer-review

106 Citations (Scopus)


Hydrological scientists develop perceptual models of the catchments they study, using field measurements and observations to build an understanding of the dominant processes controlling the hydrological response. However, conceptual and numerical models used to simulate catchment behaviour often fail to take advantage of this knowledge. It is common instead to use a pre-defined model structure which can only be fitted to the catchment via parameter calibration. In this article, we suggest an alternative approach where different sources of field data are used to build a synthesis of dominant hydrological processes and hence provide recommendations for representing those processes in a time-stepping simulation model. Using analysis of precipitation, flow and soil moisture data, recommendations are made for a comprehensive set of modelling decisions, including Evapotranspiration (ET) parameterization, vertical drainage threshold and behaviour, depth and water holding capacity of the active soil zone, unsaturated and saturated zone model architecture and deep groundwater flow behaviour. The second article in this two-part series implements those recommendations and tests the capability of different model sub-components to represent the observed hydrological processes. Copyright (C) 2010 John Wiley & Sons, Ltd.

Original languageEnglish
Pages (from-to)511-522
Number of pages12
JournalHydrological Processes
Issue number4
Publication statusPublished - 15 Feb 2011

Structured keywords

  • Water and Environmental Engineering


Dive into the research topics of 'Hydrological field data from a modeller's perspective: Part 1. Diagnostic tests for model structure'. Together they form a unique fingerprint.

Cite this