Print Email Facebook Twitter Towards more credible models in catchment hydrology to enhance hydrological process understanding Title Towards more credible models in catchment hydrology to enhance hydrological process understanding: Preface Author Refsgaard, Jens Christian (Geological Survey of Denmark and Greenland) Mai, Juliane (University of Waterloo; Helmholtz Centre for Environmental Research–UFZ; Center for Scalable Data Analytics and Artificial Intelligence) Hrachowitz, M. (TU Delft Water Resources) Jain, Sharad K. (Indian Institute of Technology Roorkee) Stisen, Simon (Geological Survey of Denmark and Greenland) Date 2023 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, that is, 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.This special issue (SI) of hydrological processes is the result of an open call for abstracts announced in October 2020. The SI comprises a collection of 14 papers authored and co-authored by 77 scientists from 37 research institutions in 16 countries. Based on the key focus for each of the papers we have grouped them into five thematic topics: (i) review papers; (ii) papers developing and testing new process descriptions; (iii) papers focusing on how model calibration can improve process descriptions; (iv) papers exploring how the use of multiple model structures can improve model performance and process descriptions; and (v) papers focusing on modelling uncertainties. The grouping of the papers into the five topics should be considered as indicative only, because all papers address more than one of the five themes. The key findings in the papers of this Special Issue are summarized in the following five topic sections. Subject calibrationevaluationhydrological modellingmodel structureprocess descriptionuncertainty To reference this document use: http://resolver.tudelft.nl/uuid:e3cac856-57c7-4dc1-8228-91c4c49d6098 DOI https://doi.org/10.1002/hyp.14995 Embargo date 2024-03-19 ISSN 0885-6087 Source Hydrological Processes, 37 (9) Bibliographical note Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. Part of collection Institutional Repository Document type journal article Rights © 2023 Jens Christian Refsgaard, Juliane Mai, M. Hrachowitz, Sharad K. Jain, Simon Stisen Files PDF Hydrological_Processes_20 ... sgaard.pdf 593.7 KB Close viewer /islandora/object/uuid:e3cac856-57c7-4dc1-8228-91c4c49d6098/datastream/OBJ/view