Articles | Volume 12, issue 7
https://doi.org/10.5194/tc-12-2175-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-12-2175-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
06 Jul 2018
Research article |
| 06 Jul 2018
| 06 Jul 2018
Glacio-hydrological melt and run-off modelling: application of a limits of acceptability framework for model comparison and selection
School of Geography, Earth and Environmental Sciences, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK
British Geological Survey, Environmental Science Centre, Keyworth, Nottingham, NG12 5GG, UK
Nicholas E. Barrand
School of Geography, Earth and Environmental Sciences, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK
David M. Hannah
School of Geography, Earth and Environmental Sciences, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK
Stefan Krause
School of Geography, Earth and Environmental Sciences, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK
Christopher R. Jackson
British Geological Survey, Environmental Science Centre, Keyworth, Nottingham, NG12 5GG, UK
Jez Everest
British Geological Survey, Lyell Centre, Research Avenue South, Edinburgh, EH14 4AS, UK
Guðfinna Aðalgeirsdóttir
Institute of Earth Sciences, University of Iceland, 101 Reykjavík, Iceland
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Total article views: 6,003 (including HTML, PDF, and XML)
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Cited
15 citations as recorded by crossref.
- What Can We Learn from Comparing Glacio-Hydrological Models? E. Stoll et al.
- Glacio‐hydrological model calibration and evaluation M. van Tiel et al.
- Assessing the hydrological and geomorphic behaviour of a landscape evolution model within a limits‐of‐acceptability uncertainty analysis framework J. Wong et al.
- A combined data assimilation and deep learning approach for continuous spatio-temporal SWE reconstruction from sparse ground tracks M. Guidicelli et al.
- Groundwater–glacier meltwater interaction in proglacial aquifers B. Ó Dochartaigh et al.
- Information content of snow hydrological signatures based on streamflow, precipitation and air temperature I. Horner et al.
- A review of hydrologic signatures and their applications H. McMillan
- Harnessing multi-source hydro-meteorological data for high flows modelling in a partially glacierized Himalayan basin D. De Santis et al.
- Future evolution and uncertainty of river flow regime change in a deglaciating river basin J. Mackay et al.
- CMIP6 climate model spread outweighs glacier model spread in 21st-century drought buffering projections L. Ultee et al.
- Air Temperature Characteristics, Distribution, and Impact on Modeled Ablation for the South Patagonia Icefield C. Bravo et al.
- Proglacial groundwater storage dynamics under climate change and glacier retreat J. Mackay et al.
- Simulation and construction of the glacier mass balance in the Manas River Basin, Tianshan, China from 2000 to 2016 G. Zhao et al.
- Glacier changes and their impact on water resources in the qilian mountains, China between 1970 and 2020 B. Cao et al.
- A hybrid time- and signature-domain Bayesian inference framework for calibration of hydrological models: a case study in the Ren River basin in China S. Liu et al.
15 citations as recorded by crossref.
- What Can We Learn from Comparing Glacio-Hydrological Models? E. Stoll et al.
- Glacio‐hydrological model calibration and evaluation M. van Tiel et al.
- Assessing the hydrological and geomorphic behaviour of a landscape evolution model within a limits‐of‐acceptability uncertainty analysis framework J. Wong et al.
- A combined data assimilation and deep learning approach for continuous spatio-temporal SWE reconstruction from sparse ground tracks M. Guidicelli et al.
- Groundwater–glacier meltwater interaction in proglacial aquifers B. Ó Dochartaigh et al.
- Information content of snow hydrological signatures based on streamflow, precipitation and air temperature I. Horner et al.
- A review of hydrologic signatures and their applications H. McMillan
- Harnessing multi-source hydro-meteorological data for high flows modelling in a partially glacierized Himalayan basin D. De Santis et al.
- Future evolution and uncertainty of river flow regime change in a deglaciating river basin J. Mackay et al.
- CMIP6 climate model spread outweighs glacier model spread in 21st-century drought buffering projections L. Ultee et al.
- Air Temperature Characteristics, Distribution, and Impact on Modeled Ablation for the South Patagonia Icefield C. Bravo et al.
- Proglacial groundwater storage dynamics under climate change and glacier retreat J. Mackay et al.
- Simulation and construction of the glacier mass balance in the Manas River Basin, Tianshan, China from 2000 to 2016 G. Zhao et al.
- Glacier changes and their impact on water resources in the qilian mountains, China between 1970 and 2020 B. Cao et al.
- A hybrid time- and signature-domain Bayesian inference framework for calibration of hydrological models: a case study in the Ren River basin in China S. Liu et al.
Saved (final revised paper)
Latest update: 25 Apr 2026
Short summary
We apply a framework to compare and objectively accept or reject competing melt and run-off process models. We found no acceptable models. Furthermore, increasing model complexity does not guarantee better predictions. The results highlight model selection uncertainty and the need for rigorous frameworks to identify deficiencies in competing models. The application of this approach in the future will help to better quantify model prediction uncertainty and develop improved process models.
We apply a framework to compare and objectively accept or reject competing melt and run-off...
