https://ui.adsabs.harvard.edu/abs/2024AGUFMH31L.0765A

@INPROCEEDINGS{2024AGUFMH31L.0765A,
author = {{Allum}, Donovan and {Marsh}, Chris and {Pietroniro}, Alain and {Pomeroy}, John W.},
title = "{Improving Hydrological Process Representation in a Hyper-resolution Adaptive Mesh Snow Model}",
booktitle = {AGU Fall Meeting Abstracts},
year = 2024,
volume = {2024},
month = dec,
eid = {H31L-0765},
pages = {H31L-0765},
adsurl = {https://ui.adsabs.harvard.edu/abs/2024AGUFMH31L.0765A},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

Spatially distributed, hyper-resolution, parallelized, three-dimensional, modular adaptive mesh models require significantly fewer computational elements than traditional raster-based approaches. This decrease permits scaling from tens of metres to continents. Here, modules for infiltration to frozen and unfrozen soils, subsurface moisture movement, freezing and thawing, and evapotranspiration were added to an existing modelling framework for snow redistribution and ablation processes, the Canadian Hydrological Model (CHM) to facilitate the calculation of runoff. CHM currently calculates blowing snow, intercepted snow and avalanching snow redistribution, sublimation, energy balance snowmelt on slopes, and flow through snowpacks on triangles as fine as 50 m to achieve snowdrift resolving scales. New algorithms were adapted to unstructured mesh topographic, soils, vegetation, and drainage representations from larger scale hydrological response unit (HRU) formulations. For example, allowing triangle-to-triangle surface and subsurface flow, and using sub-daily snowmelt to estimate infiltration opportunity time required rescaling. The appropriate resolution of coupled snow-soil-runoff process representations was examined using variable resolutions and compared to observations in instrumented research basins. This work is part of the NextGen modelling for the Global Water Futures programme in Canada and may contribute in the future to continental modelling efforts such as CIROH's NextGen modeling framework. The added hydrological processes, the process representation, and the adaption from HRU to unstructured mesh are described along with preliminary simulation results and evaluation against observations from the Global Water Futures Observatories network.

https://ui.adsabs.harvard.edu/abs/2024AGUFMH31L.0765A