Articles | Volume 30, issue 15
https://doi.org/10.5194/hess-30-5049-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-30-5049-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
11 Aug 2026
Research article |
| 11 Aug 2026
| 11 Aug 2026
High resolution modelling of temporal and spatial dynamics in soil conditions in subarctic Finland using HydroBlocks model
Emma-Riikka Kokko
CORRESPONDING AUTHOR
Oulu Mining School, University of Oulu, Oulu, Finland
Nathaniel Chaney
Environmental and Civil Engineering Department, Duke University, Durham, NC, USA
Daniel Guyumus
Environmental and Civil Engineering Department, Duke University, Durham, NC, USA
Luiz Bacelar
Environmental and Civil Engineering Department, Duke University, Durham, NC, USA
Laura Torres-Rojas
Atmospheric and Oceanic Sciences, Princeton University, Princeton, NJ, USA
Jarkko Okkonen
Geological Survey of Finland, Kokkola, Finland
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Short summary
HydroBlocks model, was configured over Finland. Time series of snow water equivalent, soil temperature, soil water content and soil ice content were created. Observational data was used to evaluate the model performance. HydroBlocks can generally predict soil conditions in Finland with some uncertainty. The model performance is improved with using local soil data and local soil hydraulic parameters. In the future, the modelling outputs show potential to be used in environmental applications.
HydroBlocks model, was configured over Finland. Time series of snow water equivalent, soil...
