CHRIS MARSH

About me

I am a postdoc with the Centre for Hydrology and Global Water Futures (GWF) at the University of Saskatchewan in Saskatchewan, Canada. I have an interest in hydrological modelling and related fieldwork and I am currently working on the next generation core modelling group developing the Canadian Hydrological Model (CHM).

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

Academic interests

• Interested in obtaining the skills to pursue a research career in hydrology
• Broad interests in hydrology and future work lies in a novel research program on a key aspect of the hydrological cycle that includes fieldwork and scientific modeling
• Applying necessary techniques such as high performance computing, hydrological models, extensive field methods, and remote sensing to solve interesting scientific problems

Contact

I can be contacted at chris.marsh (at) usask.ca or through LinkedIn.

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:

• pawistik.ca
• betterthanbottled.ca

Selected publications

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 ]

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 ]

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, 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 ]

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 ]

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.

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 ]

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 ]

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 ]

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 ]

Please see CV for comprehensive list.

To view the CV, click here or [PDF]