@article{Pomeroy-2022-The,
title = "The cold regions hydrological modelling platform for hydrological diagnosis and prediction based on process understanding",
author = "Pomeroy, John W. and
Brown, Thomas A. and
Fang, Xing and
Shook, Kevin and
Pradhananga, Dhiraj and
Armstrong, Robert and
Harder, Phillip and
Marsh, Christopher B. and
Costa, Diogo and
Krogh, Sebastian A. and
Aubry‐Wake, Caroline and
Annand, Holly and
Lawford, P. and
He, Zhaofeng and
Kompani-Zare, Mazda and
Moreno, Jimmy",
journal = "Journal of Hydrology, Volume 615",
volume = "615",
year = "2022",
publisher = "Elsevier BV",
url = "https://gwf-uwaterloo.github.io/gwf-publications/G22-100001",
doi = "10.1016/j.jhydrol.2022.128711",
pages = "128711",
abstract = "{\mbox{$\bullet$}} Snow, glaciers, wetlands, frozen ground and permafrost needed in hydrological models. {\mbox{$\bullet$}} Water quality export by coupling biochemical transformations to cold regions processes. {\mbox{$\bullet$}} Hydrological sensitivity to land use depends on cold regions processes. {\mbox{$\bullet$}} Strong cold regions hydrological sensitivity to climate warming. Cold 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.",
}
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<abstract>\bullet Snow, glaciers, wetlands, frozen ground and permafrost needed in hydrological models. \bullet Water quality export by coupling biochemical transformations to cold regions processes. \bullet Hydrological sensitivity to land use depends on cold regions processes. \bullet Strong cold regions hydrological sensitivity to climate warming. Cold 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.</abstract>
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%0 Journal Article
%T The cold regions hydrological modelling platform for hydrological diagnosis and prediction based on process understanding
%A Pomeroy, John W.
%A Brown, Thomas A.
%A Fang, Xing
%A Shook, Kevin
%A Pradhananga, Dhiraj
%A Armstrong, Robert
%A Harder, Phillip
%A Marsh, Christopher B.
%A Costa, Diogo
%A Krogh, Sebastian A.
%A Aubry‐Wake, Caroline
%A Annand, Holly
%A Lawford, P.
%A He, Zhaofeng
%A Kompani-Zare, Mazda
%A Moreno, Jimmy
%J Journal of Hydrology, Volume 615
%D 2022
%V 615
%I Elsevier BV
%F Pomeroy-2022-The
%X \bullet Snow, glaciers, wetlands, frozen ground and permafrost needed in hydrological models. \bullet Water quality export by coupling biochemical transformations to cold regions processes. \bullet Hydrological sensitivity to land use depends on cold regions processes. \bullet Strong cold regions hydrological sensitivity to climate warming. Cold 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.
%R 10.1016/j.jhydrol.2022.128711
%U https://gwf-uwaterloo.github.io/gwf-publications/G22-100001
%U https://doi.org/10.1016/j.jhydrol.2022.128711
%P 128711
Markdown (Informal)
[The cold regions hydrological modelling platform for hydrological diagnosis and prediction based on process understanding](https://gwf-uwaterloo.github.io/gwf-publications/G22-100001) (Pomeroy et al., GWF 2022)
ACL
- John W. Pomeroy, Thomas A. Brown, Xing Fang, Kevin Shook, Dhiraj Pradhananga, Robert Armstrong, Phillip Harder, Christopher B. Marsh, Diogo Costa, Sebastian A. Krogh, Caroline Aubry‐Wake, Holly Annand, P. Lawford, Zhaofeng He, Mazda Kompani-Zare, and Jimmy Moreno. 2022. The cold regions hydrological modelling platform for hydrological diagnosis and prediction based on process understanding. Journal of Hydrology, Volume 615, 615:128711.
