@article{Marsh-2020-The,
title = "The Canadian Hydrological Model (CHM) v1.0: a multi-scale, multi-extent, variable-complexity hydrological model {--} design and overview",
author = "Marsh, Christopher B. and
Pomeroy, John W. and
Wheater, H. S.",
journal = "Geoscientific Model Development, Volume 13, Issue 1",
volume = "13",
number = "1",
year = "2020",
publisher = "Copernicus GmbH",
url = "https://gwf-uwaterloo.github.io/gwf-publications/G20-108001",
doi = "10.5194/gmd-13-225-2020",
pages = "225--247",
abstract = "Abstract. Despite debate in the rainfall{--}runoff hydrology literature about the merits of physics-based and spatially distributed models, substantial work in cold-region hydrology has shown improved predictive capacity by including physics-based process representations, relatively high-resolution semi-distributed and fully distributed discretizations, and the use of physically identifiable parameters that require limited calibration. While there is increasing motivation for modelling at hyper-resolution ({\textless} 1 km) and snowdrift-resolving scales ({\mbox{$\approx$}} 1 to 100 m), the capabilities of existing cold-region hydrological models are computationally limited at these scales. Here, a new distributed model, the Canadian Hydrological Model (CHM), is presented. Although designed to be applied generally, it has a focus for application where cold-region processes play a role in hydrology. Key features include the ability to do the following: capture spatial heterogeneity in the surface discretization in an efficient manner via variable-resolution unstructured meshes; include multiple process representations; change, remove, and decouple hydrological process algorithms; work at both a point and spatially distributed scale; scale to multiple spatial extents and scales; and utilize a variety of forcing fields (boundary and initial conditions). This paper focuses on the overall model philosophy and design, and it provides a number of cold-region-specific features and examples.",
}
<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="Marsh-2020-The">
<titleInfo>
<title>The Canadian Hydrological Model (CHM) v1.0: a multi-scale, multi-extent, variable-complexity hydrological model – design and overview</title>
</titleInfo>
<name type="personal">
<namePart type="given">Christopher</namePart>
<namePart type="given">B</namePart>
<namePart type="family">Marsh</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">John</namePart>
<namePart type="given">W</namePart>
<namePart type="family">Pomeroy</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">H</namePart>
<namePart type="given">S</namePart>
<namePart type="family">Wheater</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<originInfo>
<dateIssued>2020</dateIssued>
</originInfo>
<typeOfResource>text</typeOfResource>
<genre authority="bibutilsgt">journal article</genre>
<relatedItem type="host">
<titleInfo>
<title>Geoscientific Model Development, Volume 13, Issue 1</title>
</titleInfo>
<originInfo>
<issuance>continuing</issuance>
<publisher>Copernicus GmbH</publisher>
</originInfo>
<genre authority="marcgt">periodical</genre>
<genre authority="bibutilsgt">academic journal</genre>
</relatedItem>
<abstract>Abstract. Despite debate in the rainfall–runoff hydrology literature about the merits of physics-based and spatially distributed models, substantial work in cold-region hydrology has shown improved predictive capacity by including physics-based process representations, relatively high-resolution semi-distributed and fully distributed discretizations, and the use of physically identifiable parameters that require limited calibration. While there is increasing motivation for modelling at hyper-resolution (\textless 1 km) and snowdrift-resolving scales (\approx 1 to 100 m), the capabilities of existing cold-region hydrological models are computationally limited at these scales. Here, a new distributed model, the Canadian Hydrological Model (CHM), is presented. Although designed to be applied generally, it has a focus for application where cold-region processes play a role in hydrology. Key features include the ability to do the following: capture spatial heterogeneity in the surface discretization in an efficient manner via variable-resolution unstructured meshes; include multiple process representations; change, remove, and decouple hydrological process algorithms; work at both a point and spatially distributed scale; scale to multiple spatial extents and scales; and utilize a variety of forcing fields (boundary and initial conditions). This paper focuses on the overall model philosophy and design, and it provides a number of cold-region-specific features and examples.</abstract>
<identifier type="citekey">Marsh-2020-The</identifier>
<identifier type="doi">10.5194/gmd-13-225-2020</identifier>
<location>
<url>https://gwf-uwaterloo.github.io/gwf-publications/G20-108001</url>
</location>
<part>
<date>2020</date>
<detail type="volume"><number>13</number></detail>
<detail type="issue"><number>1</number></detail>
<extent unit="page">
<start>225</start>
<end>247</end>
</extent>
</part>
</mods>
</modsCollection>
%0 Journal Article
%T The Canadian Hydrological Model (CHM) v1.0: a multi-scale, multi-extent, variable-complexity hydrological model – design and overview
%A Marsh, Christopher B.
%A Pomeroy, John W.
%A Wheater, H. S.
%J Geoscientific Model Development, Volume 13, Issue 1
%D 2020
%V 13
%N 1
%I Copernicus GmbH
%F Marsh-2020-The
%X Abstract. Despite debate in the rainfall–runoff hydrology literature about the merits of physics-based and spatially distributed models, substantial work in cold-region hydrology has shown improved predictive capacity by including physics-based process representations, relatively high-resolution semi-distributed and fully distributed discretizations, and the use of physically identifiable parameters that require limited calibration. While there is increasing motivation for modelling at hyper-resolution (\textless 1 km) and snowdrift-resolving scales (\approx 1 to 100 m), the capabilities of existing cold-region hydrological models are computationally limited at these scales. Here, a new distributed model, the Canadian Hydrological Model (CHM), is presented. Although designed to be applied generally, it has a focus for application where cold-region processes play a role in hydrology. Key features include the ability to do the following: capture spatial heterogeneity in the surface discretization in an efficient manner via variable-resolution unstructured meshes; include multiple process representations; change, remove, and decouple hydrological process algorithms; work at both a point and spatially distributed scale; scale to multiple spatial extents and scales; and utilize a variety of forcing fields (boundary and initial conditions). This paper focuses on the overall model philosophy and design, and it provides a number of cold-region-specific features and examples.
%R 10.5194/gmd-13-225-2020
%U https://gwf-uwaterloo.github.io/gwf-publications/G20-108001
%U https://doi.org/10.5194/gmd-13-225-2020
%P 225-247
Markdown (Informal)
[The Canadian Hydrological Model (CHM) v1.0: a multi-scale, multi-extent, variable-complexity hydrological model – design and overview](https://gwf-uwaterloo.github.io/gwf-publications/G20-108001) (Marsh et al., GWF 2020)
ACL
- Christopher B. Marsh, John W. Pomeroy, and H. S. Wheater. 2020. The Canadian Hydrological Model (CHM) v1.0: a multi-scale, multi-extent, variable-complexity hydrological model – design and overview. Geoscientific Model Development, Volume 13, Issue 1, 13(1):225–247.
