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The cold regions hydrological modelling platform for hydrological diagnosis and prediction based on process understanding

dc.contributor.authorPomeroy, John
dc.contributor.authorBrown, Tom
dc.contributor.authorFang, Xing
dc.contributor.authorShook, Kevin R.
dc.contributor.authorPradhananga, Dhiraj
dc.contributor.authorArmstrong, Robert
dc.contributor.authorHarder, Phillip
dc.contributor.authorMarsh, Christopher
dc.contributor.authorCosta, Diogo
dc.contributor.authorKrogh, Sebastian
dc.contributor.authorAubry-Wake, Caroline
dc.contributor.authorAnnand, Holly
dc.contributor.authorLawford, Peter
dc.contributor.authorHe, Zhihua
dc.contributor.authorKompanizare, Mazda
dc.contributor.authorLopez-Moreno, Ignacio
dc.date.accessioned2023-06-20T17:51:11Z
dc.date.available2023-06-20T17:51:11Z
dc.date.issued2022
dc.description.abstractCold regions involve hydrological processes that are not often addressed appropriately in hydrological models. The Cold Regions Hydrological Modelling platform (CRHM) was initially developed in 1998 to assemble and explore the hydrological understanding developed from a series of research basins spanning Canada and international cold regions. Hydrological processes and basin response in cold regions are simulated in a flexible, modular, object-oriented, multiphysics platform. The CRHM platform allows for multiple representations of forcing data interpolation and extrapolation, hydrological model spatial and physical process structures, and parameter values. It is well suited for model falsification, algorithm intercomparison and benchmarking, and has been deployed for basin hydrology diagnosis, prediction, land use change and water quality analysis, climate impact analysis and flood forecasting around the world. This paper describes CRHM’s capabilities, and the insights derived by applying the model in concert with process hydrology research and using the combined information and understanding from research basins to predict hydrological variables, diagnose hydrological change and determine the appropriateness of model structure and parameterisations.en_US
dc.description.sponsorshipNatural Sciences and Engineering Research Council of Canada, Environment Canada, Indian and Northern Affairs Canada, Yukon Environment, the Forest Resource Improvement Association of Alberta, Alberta Agriculture and Forestry, Alberta Environment, Ducks Unlimited Canada, Water Security Agency of Saskatchewan, Natural Environment Research Council (UK), IPE-CSIC (Spain), Canada Research Chair and Canada Excellence Research Chairs programmes, Canada First Research Excellence Fund’s Global Water Futures programmeen_US
dc.description.versionPeer Revieweden_US
dc.identifier.doi10.1016/j.jhydrol.2022.128711
dc.identifier.urihttps://hdl.handle.net/10388/14679
dc.language.isoenen_US
dc.publisherElsevier B.V.en_US
dc.rightsAttribution-NonCommercial-NoDerivs 2.5 Canada*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/2.5/ca/*
dc.subjectSnowen_US
dc.subjectFrozen grounden_US
dc.subjectEvapotranspirationen_US
dc.subjectWater qualityen_US
dc.subjectGlaciersen_US
dc.subjectHydrological modellingen_US
dc.titleThe cold regions hydrological modelling platform for hydrological diagnosis and prediction based on process understandingen_US
dc.typeArticleen_US

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