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Towards more credible models in catchment hydrology to enhance hydrological process understanding: Preface
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  • Jens Christian Refsgaard,
  • Juliane Mai,
  • Markus Hrachowitz,
  • Sharad K. Jain,
  • Simon Stisen
Jens Christian Refsgaard
De Nationale Geologiske Undersogelser for Danmark og Gronland

Corresponding Author:[email protected]

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Juliane Mai
University of Waterloo Department of Civil and Environmental Engineering
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Markus Hrachowitz
Technische Universiteit Delft Afdeling Watermanagement
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Sharad K. Jain
Indian Institute of Technology Roorkee Department of Civil Engineering
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Simon Stisen
De Nationale Geologiske Undersogelser for Danmark og Gronland
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Abstract

Catchment modelling has undergone tremendous developments during the past decades. In the 1970s, the focus was on simulation of catchment runoff with process descriptions and data inputs being lumped to the catchment scale. Later developments included spatially distributed models allowing data inputs and hydrological processes to be simulated at model grid scale, i.e. much finer than catchment scale. These models were able to explicitly simulate various processes such as soil moisture, evapotranspiration, groundwater and surface runoff. With the advancements in remote sensing technology and availability of high-resolution data, increased attention has in recent years been given to enhancing the capability of catchment models to reproduce spatial patterns and in this way improve our understanding of hydrological processes and the physical realism of catchment models. This development process has involved a wide spectrum of different aspects in the modelling process, reaching from an improved understanding of uncertainties in data, model parameters and model structures to new protocols for good modelling practices in water management. Recognizing the important role of biodiversity and social aspects, hydrologists are now extending the scope of their models to capture the interactions between water, biota and human social systems.
03 Sep 2023Submitted to Hydrological Processes
05 Sep 2023Submission Checks Completed
05 Sep 2023Assigned to Editor
05 Sep 2023Reviewer(s) Assigned
05 Sep 2023Review(s) Completed, Editorial Evaluation Pending
05 Sep 2023Editorial Decision: Accept