CHM
The Canadian Hydrological Model (CHM) is a modular unstructured mesh based approach for hydrological modelling. It can move between spatial scale, temporal scale, and spatial extents. It is designed for developing and testing process representations for hydrological models.
Further details can be found on github
Mesher
Mesher is a multi-objective unstructured mesh generation software that allows mesh generation to be generated from an arbitrary number of hydrologically important features while maintaining a variable spatial resolution. Triangle quality is guaranteed as well as a smooth graduation from small to large triangles. Including these additional features resulted in a better representation of spatial heterogeneity versus classic topography-only mesh generation.
Further details can be found on github
Github
I have my code hosted on Github.
My StackOverflow profile can be found
here.
Other work
Worked on:
Selected publications
Marsh, C. B., V. Vionnet, and J. W. Pomeroy.
Windmapper: An Efficient Wind Downscaling Method for Hydrological
Models.
Water Resources Research, 59(3), 2023.
[ DOI ]
Marsh, C. B., P. Harder, and J. W. Pomeroy.
Validation of FABDEM, a global bare-earth elevation model, against
UAV-lidar derived elevation in a complex forested mountain catchment.
Environmental Research Communications, 2023.
[ DOI ]
Marsh, C. B., V. Vionnet, and J.W. Pomeroy.
The Canadian Hydrological Model: A New Way to Estimate Snowpacks in
the Canadian Rockies.
The Avalanche Journal,, Winter, 2022.
W. J. M. Knoben, M. P. Clark, J. Bales, A. Bennett, S. Gharari, Marsh,
C. B., B. Nijssen, A. Pietroniro, R. J. Spiteri, G. Tang, D. G. Tarboton,
and A. W. Wood.
Community Workflows to Advance Reproducibility in Hydrologic
Modeling: Separating Model-Agnostic and Model-Specific Configuration Steps in
Applications of Large-Domain Hydrologic Models.
Water Resources Research, 58(11), 2022.
[ DOI ]
J.W. Pomeroy, T. Brown, X. Fang, K.R. Shook, D. Pradhananga, R. Armstrong,
P. Harder, Marsh, C. B., D. Costa, S.A. Krogh, C. Aubry-Wake,
H. Annand, P. Lawford, Z. He, M. Kompanizare, and J.I. Lopez Moreno.
The cold regions hydrological modelling platform for hydrological
diagnosis and prediction based on process understanding.
Journal of Hydrology, 615(Hydrology and Earth System Science 26
21 2022):128711, 2022.
[ DOI ]
Marsh, C.B., K. R. Green, B. Wang, and R. J. Spiteri.
Performance improvements to modern hydrological models via lookup
table optimizations.
Environmental Modelling & Software, page 105018, 2021.
[ DOI ]
V. Vionnet, Marsh, C.B., B. Menounos, S. Gascoin, N.E. Wayand,
J. Shea, K. Mukherjee, and J.W. Pomeroy.
Multi-scale snowdrift-permitting modelling of mountain snowpack.
The Cryosphere, 15:743–--769, 2021.
[ DOI ]
N.R. Leroux, Marsh, C.B., and J.W. Pomeroy.
Simulation of Preferential Flow in Snow with a 2D Non-Equilibrium
Richards Model and Evaluation against Laboratory Data.
Water Resources Research, 56, 2020.
Marsh, C.B., J.W. Pomeroy, and H.S. Wheater.
The Canadian Hydrological Model (CHM) v1.0: a multi-scale,
multi-extent, variable-complexity hydrological model – design and
overview.
Geoscientific Model Development, 13(1):225--247, 2020.
[ DOI ]
Marsh, C.B, J.W. Pomeroy, R.J. Spiteri, and H.S Wheater.
A Finite Volume Blowing Snow Model for Use With Variable Resolution
Meshes.
Water Resources Research, 56(2), 2020.
[ DOI ]
N.E. Wayand, Marsh, C.B., J.M. Shea, and J.W. Pomeroy.
Globally scalable alpine snow metrics.
Remote Sensing of Environment, 213:61--72, 2018.
[ DOI ]
Marsh, C.B, R.J. Spiteri, J.W. Pomeroy, and H.S. Wheater.
Multi-objective unstructured triangular mesh generation for use in
hydrological and land surface models.
Computers & Geosciences, 119:49--67, 2018.
[ DOI ]
Marsh, C.B., J.W. Pomeroy, and R.J. Spiteri.
Implications of mountain shading on calculating energy for snowmelt
using unstructured triangular meshes.
Hydrological Processes, 26(12):1767--1778, 2012.
[ DOI |
http ]
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