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

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).

Academic interests

Contact

I can be contacted via email 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:

Selected publications

(In review) Marsh, C.B, J.W. Pomeroy, R.J. Spiteri, and H.W Wheater (2019), A finite volume blowing snow model for use with variable resolution meshes, Water Resources Research

(In review) Marsh, C.B, J.W. Pomeroy, and H.W Wheater (2019), The Canadian Hydrological Model (CHM): A multi-scale, multi-extent, variable-complexity hydrological model – Design and overview, Geoscientific Model Development Discussions, pp. 1–44, DOI: 10.5194/gmd-2019-109.

Marsh, C.B, R.J. Spiteri, J. W. Pomeroy, and H.S. Wheater (2018), Multi-objective unstructured triangular mesh generation for use in hydrological and land surface models, Computers & Geosciences 119, pp. 49–67, DOI: 10.1016/ j.cageo.2018.06.009.

Wayand, N. E., C.B. Marsh, J. M. Shea, and J. W. Pomeroy (2018), Globally scalable alpine snow metrics, Remote Sensing of Environment 213, pp. 61–72, DOI: 10.1016/j.rse.2018.05.012.

Marsh C.B., Pomeroy J.W., Spiteri R.J. (2012) Implication of mountain shading on calculating energy for snowmelt using unstructured triangular meshes. Hydrological Processes, Vol. 26 (12) 1767-1778

Please see CV for comprehensive list.

To view the CV, click here or [PDF]