Journal cover Journal topic
Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

Journal metrics

  • IF value: 5.240 IF 5.240
  • IF 5-year value: 5.768 IF 5-year
    5.768
  • CiteScore value: 8.9 CiteScore
    8.9
  • SNIP value: 1.713 SNIP 1.713
  • IPP value: 5.53 IPP 5.53
  • SJR value: 3.18 SJR 3.18
  • Scimago H <br class='hide-on-tablet hide-on-mobile'>index value: 71 Scimago H
    index 71
  • h5-index value: 51 h5-index 51
GMD | Articles | Volume 13, issue 1
Geosci. Model Dev., 13, 225–247, 2020
https://doi.org/10.5194/gmd-13-225-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Geosci. Model Dev., 13, 225–247, 2020
https://doi.org/10.5194/gmd-13-225-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Model description paper 29 Jan 2020

Model description paper | 29 Jan 2020

The Canadian Hydrological Model (CHM) v1.0: a multi-scale, multi-extent, variable-complexity hydrological model – design and overview

Christopher B. Marsh et al.

Related authors

Improving sub-canopy snow depth mapping with unmanned aerial vehicles: lidar versus structure-from-motion techniques
Phillip Harder, John W. Pomeroy, and Warren D. Helgason
The Cryosphere, 14, 1919–1935, https://doi.org/10.5194/tc-14-1919-2020,https://doi.org/10.5194/tc-14-1919-2020, 2020
Short summary
Diagnosis of future changes in hydrology for a Canadian Rockies headwater basin
Xing Fang and John W. Pomeroy
Hydrol. Earth Syst. Sci., 24, 2731–2754, https://doi.org/10.5194/hess-24-2731-2020,https://doi.org/10.5194/hess-24-2731-2020, 2020
Short summary
Assessing the factors governing the ability to predict late-spring flooding in cold-region mountain basins
Vincent Vionnet, Vincent Fortin, Etienne Gaborit, Guy Roy, Maria Abrahamowicz, Nicolas Gasset, and John W. Pomeroy
Hydrol. Earth Syst. Sci., 24, 2141–2165, https://doi.org/10.5194/hess-24-2141-2020,https://doi.org/10.5194/hess-24-2141-2020, 2020
Short summary
High-resolution meteorological forcing data for hydrological modelling and climate change impact analysis in the Mackenzie River Basin
Zilefac Elvis Asong, Mohamed Ezzat Elshamy, Daniel Princz, Howard Simon Wheater, John Willard Pomeroy, Alain Pietroniro, and Alex Cannon
Earth Syst. Sci. Data, 12, 629–645, https://doi.org/10.5194/essd-12-629-2020,https://doi.org/10.5194/essd-12-629-2020, 2020
Short summary
Dry-Air Entrainment and Advection during Alpine Blowing Snow Events
Nikolas Olson Aksamit and John Pomeroy
The Cryosphere Discuss., https://doi.org/10.5194/tc-2020-46,https://doi.org/10.5194/tc-2020-46, 2020
Revised manuscript under review for TC
Short summary

Related subject area

Hydrology
Simulator for Hydrologic Unstructured Domains (SHUD v1.0): numerical modeling of watershed hydrology with the finite volume method
Lele Shu, Paul A. Ullrich, and Christopher J. Duffy
Geosci. Model Dev., 13, 2743–2762, https://doi.org/10.5194/gmd-13-2743-2020,https://doi.org/10.5194/gmd-13-2743-2020, 2020
Short summary
HydroMix v1.0: a new Bayesian mixing framework for attributing uncertain hydrological sources
Harsh Beria, Joshua R. Larsen, Anthony Michelon, Natalie C. Ceperley, and Bettina Schaefli
Geosci. Model Dev., 13, 2433–2450, https://doi.org/10.5194/gmd-13-2433-2020,https://doi.org/10.5194/gmd-13-2433-2020, 2020
Short summary
TIER version 1.0: an open-source Topographically InformEd Regression (TIER) model to estimate spatial meteorological fields
Andrew J. Newman and Martyn P. Clark
Geosci. Model Dev., 13, 1827–1843, https://doi.org/10.5194/gmd-13-1827-2020,https://doi.org/10.5194/gmd-13-1827-2020, 2020
Short summary
Automated Monte Carlo-based quantification and updating of geological uncertainty with borehole data (AutoBEL v1.0)
Zhen Yin, Sebastien Strebelle, and Jef Caers
Geosci. Model Dev., 13, 651–672, https://doi.org/10.5194/gmd-13-651-2020,https://doi.org/10.5194/gmd-13-651-2020, 2020
Short summary
glmGUI v1.0: an R-based graphical user interface and toolbox for GLM (General Lake Model) simulations
Thomas Bueche, Marko Wenk, Benjamin Poschlod, Filippo Giadrossich, Mario Pirastru, and Mark Vetter
Geosci. Model Dev., 13, 565–580, https://doi.org/10.5194/gmd-13-565-2020,https://doi.org/10.5194/gmd-13-565-2020, 2020
Short summary

Cited articles

Ahrens, J., Geveci, B., and Law, C.: ParaView: An End-User Tool for Large Data Visualization, in Visualization handbook, Elsevier, 2005. 
Avanzi, F., Michele, C. D., Morin, S., Carmagnola, C. M., and Lejeune, Y.: Model complexity and data requirements in snow hydrology : seeking a balance in practical applications, Hydrol. Proc., 30, 2106–2118, https://doi.org/10.1002/hyp.10782, 2016. 
Bahremand, A.: HESS Opinions: Advocating process modeling and de-emphasizing parameter estimation, Hydrol. Earth Syst. Sci., 20, 1433–1445, https://doi.org/10.5194/hess-20-1433-2016, 2016. 
Bartelt, P. and Lehning, M.: A physical SNOWPACK model for the Swiss avalanche warning Part I: numerical model, Cold Reg. Sci. Technol., 35, 123–145, https://doi.org/10.1016/s0165-232x(02)00074-5, 2002. 
Bavay, M. and Egger, T.: MeteoIO 2.4.2: a preprocessing library for meteorological data, Geosci. Model Dev., 7, 3135–3151, https://doi.org/10.5194/gmd-7-3135-2014, 2014. 
Publications Copernicus
Download
Short summary
The Canadian Hydrological Model (CHM) is a next-generation distributed model. Although designed to be applied generally, it has a focus for application where cold-region processes, such as snowpacks, play a role in hydrology. A key feature is that it uses a multi-scale surface representation, increasing efficiency. It also enables algorithm comparisons in a flexible structure. Model philosophy, design, and several cold-region-specific examples are described.
The Canadian Hydrological Model (CHM) is a next-generation distributed model. Although designed...
Citation