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Cited by 280

The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.

Coupled modelling of glacier and streamflow response to future climate scenarios

Stahl, K., Moore, R. D., Shea, J. M., Hutchinson, D., Cannon, A. J.·2008·Water Resources Research

Abstract

This study investigated the sensitivity of streamflow to changes in climate and glacier cover for the Bridge River basin, British Columbia, using a semi‐distributed conceptual hydrological model coupled with a glacier response model. Mass balance data were used to constrain model parameters. Climate scenarios included a continuation of the current climate and two transient GCM scenarios with greenhouse gas forcing. Modelled glacier mass balance was used to re‐scale the glacier every decade using a volume‐area scaling relation. Glacier area and summer streamflow declined strongly even under the steady‐climate scenario, with the glacier retreating to a new equilibrium within 100 years. For the warming scenarios, glacier retreat continued with no evidence of reaching a new equilibrium. Uncertainty in parameters governing glacier melt produced uncertainty in future glacier retreat and streamflow response. Where mass balance information is not available to assist with calibration, model‐generated future scenarios will be subject to significant uncertainty.

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Crossref · 10.1029/2007wr005956

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Metadata

Authors
Stahl, K., Moore, R. D., Shea, J. M., Hutchinson, D., & Cannon, A. J.
Venue
Water Resources Research
Published
2008-02
Volume
44
Issue
2
ISSN
  • 0043-1397 (ISSN-L)
  • 1944-7973
OpenAlex
W1604151720
Cited by
280
References
18
FWCI
10.35
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Coupled modelling of glacier and streamflow response to future climate scenarios. https://app.cochat.ai/papers/10.1029/2007wr005956
The paper
Stahl, K., Moore, R. D., Shea, J. M., Hutchinson, D., & Cannon, A. J. (2008). Coupled modelling of glacier and streamflow response to future climate scenarios. Water Resources Research. https://doi.org/10.1029/2007wr005956

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.