1. publications
  2. code
  3. CV
  4. about

About me

I am a research scientist with the Climate Process Section-Climate Research Division of Environment and Climate Change Canada (CPS-CRD-ECCC). I am also an adjunct professor at the University of Saskatchewan.

I study the intersection of freshwater and climate change in Canada with a focus on snow and implications for the National Adaptation Strategy. I develop the Canadian Hydrological Model (CHM) as a multi-scale simulation tool to better understand the emergent processes that occur at small spatial and temporal scales over large spatial extents. The SnowCast product is an example of an outcome of this research.

I was previously a postdoc with the Centre for Hydrology and Global Water Futures (GWF) at the University of Saskatchewan in Saskatchewan, Canada.

In my free time I take photos of wildlife and nature with my wife which you can see here: marsh.photos


I can be contacted via email at chris.marsh (at) usask.ca or christopher.marsh (at) ec.gc.ca or through the various socials: LinkedIn, X.


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 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


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 ]

This file was generated by bibtex2html 1.99.

Please see CV for comprehensive list.

To view the CV please see here [PDF]