Articles | Volume 10, issue 5
https://doi.org/10.5194/tc-10-2147-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/tc-10-2147-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
20 Sep 2016
Research article |
| 20 Sep 2016
How much cryosphere model complexity is just right? Exploration using the conceptual cryosphere hydrology framework
Thomas M. Mosier
CORRESPONDING AUTHOR
Water Resources Graduate Program, Oregon State University, Corvallis, Oregon, 97331, USA
Mechanical, Industrial, and Manufacturing Engineering, Oregon State University, Corvallis, Oregon, 97331, USA
David F. Hill
Water Resources Graduate Program, Oregon State University, Corvallis, Oregon, 97331, USA
Civil and Construction Engineering, Oregon State University, Corvallis, Oregon, 97331, USA
Kendra V. Sharp
Water Resources Graduate Program, Oregon State University, Corvallis, Oregon, 97331, USA
Mechanical, Industrial, and Manufacturing Engineering, Oregon State University, Corvallis, Oregon, 97331, USA
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Cited
16 citations as recorded by crossref.
- Targeting high robustness in snowpack modeling for Nordic hydrological applications in limited data conditions A. Mas et al. 10.1016/j.jhydrol.2018.07.071
- Glacio‐hydrological model calibration and evaluation M. van Tiel et al. 10.1002/wat2.1483
- Uncertainties in Snowpack Simulations—Assessing the Impact of Model Structure, Parameter Choice, and Forcing Data Error on Point‐Scale Energy Balance Snow Model Performance D. Günther et al. 10.1029/2018WR023403
- The challenge of monitoring glaciers with extreme altitudinal range: mass-balance reconstruction for Kahiltna Glacier, Alaska J. YOUNG et al. 10.1017/jog.2017.80
- Including Parameter Uncertainty in an Intercomparison of Physically-Based Snow Models D. Günther et al. 10.3389/feart.2020.542599
- Hydrologic impacts of changes in climate and glacier extent in the Gulf of Alaska watershed J. Beamer et al. 10.1002/2016WR020033
- Glacio-hydrological melt and run-off modelling: application of a limits of acceptability framework for model comparison and selection J. Mackay et al. 10.5194/tc-12-2175-2018
- Observations and simulations of the seasonal evolution of snowpack cold content and its relation to snowmelt and the snowpack energy budget K. Jennings et al. 10.5194/tc-12-1595-2018
- Multilayer observation and estimation of the snowpack cold content in a humid boreal coniferous forest of eastern Canada A. Parajuli et al. 10.5194/tc-15-5371-2021
- Terrestrial water storage regime and its change in the endorheic Tibetan Plateau L. Wang et al. 10.1016/j.scitotenv.2021.152729
- A Finite Volume Blowing Snow Model for Use With Variable Resolution Meshes C. Marsh et al. 10.1029/2019WR025307
- Evaluation of hydrological models on small mountainous catchments: impact of the meteorological forcings G. Evin et al. 10.5194/hess-28-261-2024
- The Canadian Hydrological Model (CHM) v1.0: a multi-scale, multi-extent, variable-complexity hydrological model – design and overview C. Marsh et al. 10.5194/gmd-13-225-2020
- Selecting hydrological models for developing countries: Perspective of global, continental, and country scale models over catchment scale models P. Paul et al. 10.1016/j.jhydrol.2021.126561
- Glaciers Variation at ‘Shocking’ Pace in the Northeastern Margin of Tibetan Plateau from 1957 to 21st Century: A Case Study of Qiyi Glacier P. Shi et al. 10.3390/atmos14040723
- Technical note: Inherent benchmark or not? Comparing Nash–Sutcliffe and Kling–Gupta efficiency scores W. Knoben et al. 10.5194/hess-23-4323-2019
16 citations as recorded by crossref.
- Targeting high robustness in snowpack modeling for Nordic hydrological applications in limited data conditions A. Mas et al. 10.1016/j.jhydrol.2018.07.071
- Glacio‐hydrological model calibration and evaluation M. van Tiel et al. 10.1002/wat2.1483
- Uncertainties in Snowpack Simulations—Assessing the Impact of Model Structure, Parameter Choice, and Forcing Data Error on Point‐Scale Energy Balance Snow Model Performance D. Günther et al. 10.1029/2018WR023403
- The challenge of monitoring glaciers with extreme altitudinal range: mass-balance reconstruction for Kahiltna Glacier, Alaska J. YOUNG et al. 10.1017/jog.2017.80
- Including Parameter Uncertainty in an Intercomparison of Physically-Based Snow Models D. Günther et al. 10.3389/feart.2020.542599
- Hydrologic impacts of changes in climate and glacier extent in the Gulf of Alaska watershed J. Beamer et al. 10.1002/2016WR020033
- Glacio-hydrological melt and run-off modelling: application of a limits of acceptability framework for model comparison and selection J. Mackay et al. 10.5194/tc-12-2175-2018
- Observations and simulations of the seasonal evolution of snowpack cold content and its relation to snowmelt and the snowpack energy budget K. Jennings et al. 10.5194/tc-12-1595-2018
- Multilayer observation and estimation of the snowpack cold content in a humid boreal coniferous forest of eastern Canada A. Parajuli et al. 10.5194/tc-15-5371-2021
- Terrestrial water storage regime and its change in the endorheic Tibetan Plateau L. Wang et al. 10.1016/j.scitotenv.2021.152729
- A Finite Volume Blowing Snow Model for Use With Variable Resolution Meshes C. Marsh et al. 10.1029/2019WR025307
- Evaluation of hydrological models on small mountainous catchments: impact of the meteorological forcings G. Evin et al. 10.5194/hess-28-261-2024
- The Canadian Hydrological Model (CHM) v1.0: a multi-scale, multi-extent, variable-complexity hydrological model – design and overview C. Marsh et al. 10.5194/gmd-13-225-2020
- Selecting hydrological models for developing countries: Perspective of global, continental, and country scale models over catchment scale models P. Paul et al. 10.1016/j.jhydrol.2021.126561
- Glaciers Variation at ‘Shocking’ Pace in the Northeastern Margin of Tibetan Plateau from 1957 to 21st Century: A Case Study of Qiyi Glacier P. Shi et al. 10.3390/atmos14040723
- Technical note: Inherent benchmark or not? Comparing Nash–Sutcliffe and Kling–Gupta efficiency scores W. Knoben et al. 10.5194/hess-23-4323-2019
Saved (preprint)
Latest update: 23 Nov 2024
Short summary
Our paper presents the Conceptual Cryosphere Hydrology Framework (CCHF), a tool to enable more rapid development and intercomparison of cryosphere process representations. Using the CCHF, we demonstrate that some common existing degree index cryosphere models are not well suited for assessing impacts across climates, even though these models appear to perform well under a common evaluation strategy. We show that more robust models can be formulated without increasing data input requirements.
Our paper presents the Conceptual Cryosphere Hydrology Framework (CCHF), a tool to enable more...
