Articles | Volume 25, issue 8
https://doi.org/10.5194/hess-25-4275-2021
https://doi.org/10.5194/hess-25-4275-2021
Research article
 | 
03 Aug 2021
Research article |  | 03 Aug 2021

Mass balance and hydrological modeling of the Hardangerjøkulen ice cap in south-central Norway

Trude Eidhammer, Adam Booth, Sven Decker, Lu Li, Michael Barlage, David Gochis, Roy Rasmussen, Kjetil Melvold, Atle Nesje, and Stefan Sobolowski

Related authors

Constraining Aerosol-Cloud Adjustments by Uniting Surface Observations with a Perturbed Parameter Ensemble
August Mikkelsen, Daniel T. McCoy, Trude Eidhammer, Andrew Gettelman, Ci Song, Hamish Gordon, and Isabel L. McCoy
EGUsphere, https://doi.org/10.5194/egusphere-2024-2158,https://doi.org/10.5194/egusphere-2024-2158, 2024
Short summary
The application and modification of WRF-Hydro/Glacier to a cold-based Antarctic glacier
Tamara Pletzer, Jonathan P. Conway, Nicolas J. Cullen, Trude Eidhammer, and Marwan Katurji
Hydrol. Earth Syst. Sci., 28, 459–478, https://doi.org/10.5194/hess-28-459-2024,https://doi.org/10.5194/hess-28-459-2024, 2024
Short summary
An Extensible Perturbed Parameter Ensemble (PPE) for the Community Atmosphere Model Version 6
Trude Eidhammer, Andrew Gettelman, Katherine Thayer-Calder, Duncan Watson-Parris, Gregory Elsaesser, Hugh Morrison, Marcus van Lier-Walqui, Ci Song, and Daniel McCoy
EGUsphere, https://doi.org/10.5194/egusphere-2023-2165,https://doi.org/10.5194/egusphere-2023-2165, 2024
Short summary
Importance of ice nucleation and precipitation on climate with the Parameterization of Unified Microphysics Across Scales version 1 (PUMASv1)
Andrew Gettelman, Hugh Morrison, Trude Eidhammer, Katherine Thayer-Calder, Jian Sun, Richard Forbes, Zachary McGraw, Jiang Zhu, Trude Storelvmo, and John Dennis
Geosci. Model Dev., 16, 1735–1754, https://doi.org/10.5194/gmd-16-1735-2023,https://doi.org/10.5194/gmd-16-1735-2023, 2023
Short summary
Comparison of ice cloud properties simulated by the Community Atmosphere Model (CAM5) with in-situ observations
T. Eidhammer, H. Morrison, A. Bansemer, A. Gettelman, and A. J. Heymsfield
Atmos. Chem. Phys., 14, 10103–10118, https://doi.org/10.5194/acp-14-10103-2014,https://doi.org/10.5194/acp-14-10103-2014, 2014

Related subject area

Subject: Hydrometeorology | Techniques and Approaches: Modelling approaches
Multi-objective calibration and evaluation of the ORCHIDEE land surface model over France at high resolution
Peng Huang, Agnès Ducharne, Lucia Rinchiuso, Jan Polcher, Laure Baratgin, Vladislav Bastrikov, and Eric Sauquet
Hydrol. Earth Syst. Sci., 28, 4455–4476, https://doi.org/10.5194/hess-28-4455-2024,https://doi.org/10.5194/hess-28-4455-2024, 2024
Short summary
Spatiotemporal responses of runoff to climate change in the southern Tibetan Plateau
He Sun, Tandong Yao, Fengge Su, Wei Yang, and Deliang Chen
Hydrol. Earth Syst. Sci., 28, 4361–4381, https://doi.org/10.5194/hess-28-4361-2024,https://doi.org/10.5194/hess-28-4361-2024, 2024
Short summary
FROSTBYTE: a reproducible data-driven workflow for probabilistic seasonal streamflow forecasting in snow-fed river basins across North America
Louise Arnal, Martyn P. Clark, Alain Pietroniro, Vincent Vionnet, David R. Casson, Paul H. Whitfield, Vincent Fortin, Andrew W. Wood, Wouter J. M. Knoben, Brandi W. Newton, and Colleen Walford
Hydrol. Earth Syst. Sci., 28, 4127–4155, https://doi.org/10.5194/hess-28-4127-2024,https://doi.org/10.5194/hess-28-4127-2024, 2024
Short summary
On the combined use of rain gauges and GPM IMERG satellite rainfall products for hydrological modelling: impact assessment of the cellular-automata-based methodology in the Tanaro River basin in Italy
Annalina Lombardi, Barbara Tomassetti, Valentina Colaiuda, Ludovico Di Antonio, Paolo Tuccella, Mario Montopoli, Giovanni Ravazzani, Frank Silvio Marzano, Raffaele Lidori, and Giulia Panegrossi
Hydrol. Earth Syst. Sci., 28, 3777–3797, https://doi.org/10.5194/hess-28-3777-2024,https://doi.org/10.5194/hess-28-3777-2024, 2024
Short summary
An increase in the spatial extent of European floods over the last 70 years
Beijing Fang, Emanuele Bevacqua, Oldrich Rakovec, and Jakob Zscheischler
Hydrol. Earth Syst. Sci., 28, 3755–3775, https://doi.org/10.5194/hess-28-3755-2024,https://doi.org/10.5194/hess-28-3755-2024, 2024
Short summary

Cited articles

Aas, K. S., Dunse, T., Collier, E., Schuler, T. V., Berntsen, T. K., Kohler, J., and Luks, B.: The climatic mass balance of Svalbard glaciers: a 10-year simulation with a coupled atmosphere–glacier mass balance model, The Cryosphere, 10, 1089–1104, https://doi.org/10.5194/tc-10-1089-2016, 2016. 
Andreassen, L., Elvehøy, H., Kjøllmoen, B., and Belart, J.: Glacier change in Norway since the 1960s – an overview of mass balance, area, length and surface elevation changes, J. Glaciol., 66, 313–328, https://doi.org/10.1017/jog.2020.10, 2020. 
Andreassen, L. M. and Winsvold, S. H. (Eds.): Inventory of Norwegian glaciers, NVE Report 38, NVE – Norwegian Water Resources and Energy Directorate, 236 pp., 2012. 
Arnault, J., Rummler, T., Baur, F., Lerch, S., Wagner, S., Fersch, B., Zhang, Z., Kerandi, N., Keil, C., and Kunstmann, H.: Precipitation sensitivity to the Uncertainty of Terrestrial Water Flow in WRF-Hydro: An Ensemble Analysis for Central Europe, J. Hydrometeorol., 19, 1007–1025, https://doi.org/10.1175/jhm-d-17-0042.1, 2018. 
Ayala, A., Pellicciotti, F., and Shea, J. M.: Modeling 2 m air temperatures over mountain glaciers: Exploring the influence of katabatic cooling and external warming, J. Geophys. Res.-Atmos., 120, 3139–3157, https://doi.org/10.1002/2015JD023137, 2015. 
Download
Short summary
We coupled a detailed snow–ice model (Crocus) to represent glaciers in the Weather Research and Forecasting (WRF)-Hydro model and tested it on a well-studied glacier. Several observational systems were used to evaluate the system, i.e., satellites, ground-penetrating radar (used over the glacier for snow depth) and stake observations for glacier mass balance and discharge measurements in rivers from the glacier. Results showed improvements in the streamflow projections when including the model.