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High-resolution modelling of dissolved organic carbon dynamics in a boreal nested catchment : insights from the Krycklan-HYPE model

Guo, Renkui LU orcid ; Popp, Andrea L. ; Berggren, Martin LU ; Liu, Junzhi ; Liu, Jiaojiao ; Gustafsson, David and Duan, Zheng LU (2026) In Journal of Hydrology 670.
Abstract

Understanding the spatiotemporal dynamics of dissolved organic carbon (DOC) is essential for predicting aquatic carbon fluxes and managing water quality in boreal catchments. Traditional DOC modelling approaches are limited in their ability to represent seasonal dynamics, event-driven responses, and riparian-zone contributions. Here, we evaluate the performance of the Krycklan-HYPE model in simulating streamflow and DOC concentrations across the Krycklan catchment in northern Sweden. The model was calibrated and validated for 14 sub-catchments using the Kling-Gupta Efficiency (KGE) metric. Results showed consistently good to very good performance for streamflow (calibration KGE = 0.50–0.82; validation KGE = 0.35–0.71), with low... (More)

Understanding the spatiotemporal dynamics of dissolved organic carbon (DOC) is essential for predicting aquatic carbon fluxes and managing water quality in boreal catchments. Traditional DOC modelling approaches are limited in their ability to represent seasonal dynamics, event-driven responses, and riparian-zone contributions. Here, we evaluate the performance of the Krycklan-HYPE model in simulating streamflow and DOC concentrations across the Krycklan catchment in northern Sweden. The model was calibrated and validated for 14 sub-catchments using the Kling-Gupta Efficiency (KGE) metric. Results showed consistently good to very good performance for streamflow (calibration KGE = 0.50–0.82; validation KGE = 0.35–0.71), with low uncertainty and strong spatial transferability. In contrast, the success of DOC simulations was more varied, with KGE values across streams of 0.11–0.59 for the calibration period and 0.05–0.58 for the validation period (excluding one negative value). A negative correlation between streamflow simulation performance and DOC simulation performance was observed, indicating a trade-off between hydrological and biogeochemical simulation accuracy. Seasonal analysis showed that streamflow and DOC were best captured during spring and autumn, while DOC dynamics during summer and high-flow events were not well simulated. This pointed to the model structure limitation with missing representations of corresponding processes. Scenario-based analysis further highlighted that streamflow was best simulated under high flows, while DOC performance was better under low flow conditions. These results demonstrate the Krycklan-HYPE model’s strengths in streamflow simulation but also underscore limitations in representing DOC mobilization and transport. Future studies should focus on developing model structures that incorporate relevant processes, and adopting calibration strategies that account for spatially heterogeneous parameterization.

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author
; ; ; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Boreal headwaters, DOC modelling, Hydrological modelling, Krycklan Catchment, Kycklan-HYPE
in
Journal of Hydrology
volume
670
article number
135039
publisher
Elsevier
external identifiers
  • scopus:105034158659
ISSN
0022-1694
DOI
10.1016/j.jhydrol.2026.135039
language
English
LU publication?
yes
id
eace7025-cce9-4d21-9396-0476ce207b95
date added to LUP
2026-06-09 10:58:14
date last changed
2026-06-09 10:59:23
@article{eace7025-cce9-4d21-9396-0476ce207b95,
  abstract     = {{<p>Understanding the spatiotemporal dynamics of dissolved organic carbon (DOC) is essential for predicting aquatic carbon fluxes and managing water quality in boreal catchments. Traditional DOC modelling approaches are limited in their ability to represent seasonal dynamics, event-driven responses, and riparian-zone contributions. Here, we evaluate the performance of the Krycklan-HYPE model in simulating streamflow and DOC concentrations across the Krycklan catchment in northern Sweden. The model was calibrated and validated for 14 sub-catchments using the Kling-Gupta Efficiency (KGE) metric. Results showed consistently good to very good performance for streamflow (calibration KGE = 0.50–0.82; validation KGE = 0.35–0.71), with low uncertainty and strong spatial transferability. In contrast, the success of DOC simulations was more varied, with KGE values across streams of 0.11–0.59 for the calibration period and 0.05–0.58 for the validation period (excluding one negative value). A negative correlation between streamflow simulation performance and DOC simulation performance was observed, indicating a trade-off between hydrological and biogeochemical simulation accuracy. Seasonal analysis showed that streamflow and DOC were best captured during spring and autumn, while DOC dynamics during summer and high-flow events were not well simulated. This pointed to the model structure limitation with missing representations of corresponding processes. Scenario-based analysis further highlighted that streamflow was best simulated under high flows, while DOC performance was better under low flow conditions. These results demonstrate the Krycklan-HYPE model’s strengths in streamflow simulation but also underscore limitations in representing DOC mobilization and transport. Future studies should focus on developing model structures that incorporate relevant processes, and adopting calibration strategies that account for spatially heterogeneous parameterization.</p>}},
  author       = {{Guo, Renkui and Popp, Andrea L. and Berggren, Martin and Liu, Junzhi and Liu, Jiaojiao and Gustafsson, David and Duan, Zheng}},
  issn         = {{0022-1694}},
  keywords     = {{Boreal headwaters; DOC modelling; Hydrological modelling; Krycklan Catchment; Kycklan-HYPE}},
  language     = {{eng}},
  publisher    = {{Elsevier}},
  series       = {{Journal of Hydrology}},
  title        = {{High-resolution modelling of dissolved organic carbon dynamics in a boreal nested catchment : insights from the Krycklan-HYPE model}},
  url          = {{http://dx.doi.org/10.1016/j.jhydrol.2026.135039}},
  doi          = {{10.1016/j.jhydrol.2026.135039}},
  volume       = {{670}},
  year         = {{2026}},
}