Articles | Volume 10, issue 4
https://doi.org/10.5194/tc-10-1859-2016
© 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-10-1859-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Multilevel spatiotemporal validation of snow/ice mass balance and runoff modeling in glacierized catchments
alpS – Centre for Climate Change Adaptation, Innsbruck, Austria
Institute of Geography, University of Innsbruck, Innsbruck, Austria
Kay Helfricht
Institute for Interdisciplinary Mountain Research, Austrian Academy of Sciences, Innsbruck, Austria
Thomas Marke
Institute of Geography, University of Innsbruck, Innsbruck, Austria
Ulrich Strasser
Institute of Geography, University of Innsbruck, Innsbruck, Austria
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56 citations as recorded by crossref.
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- Integrating Models and Remote Sensing Data for Distributed Glacier Mass Balance Estimation I. Podsiadlo et al. 10.1109/JSTARS.2020.3028653
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- Hydrological modelling in the anthroposphere: predicting local runoff in a heavily modified high-alpine catchment J. Wesemann et al. 10.1007/s11629-017-4587-5
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- Multi-scale snowdrift-permitting modelling of mountain snowpack V. Vionnet et al. 10.5194/tc-15-743-2021
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- Morphological indexes to describe snow-cover patterns in a high-alpine area L. Ferrarin et al. 10.1017/aog.2023.62
- A persistent local thermal anomaly in the Ahorn gneiss recharged by glacier melt water (Austria) C. Heldmann et al. 10.1007/s10040-019-02034-8
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- 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
- Parameter uncertainty analysis for an operational hydrological model using residual-based and limits of acceptability approaches A. Teweldebrhan et al. 10.5194/hess-22-5021-2018
- Spatio‐temporal wet snow dynamics from model simulations and remote sensing: A case study from the Rofental, Austria E. Rottler et al. 10.1002/hyp.15279
- On the Use of COSMO-SkyMed X-Band SAR for Estimating Snow Water Equivalent in Alpine Areas: A Retrieval Approach Based on Machine Learning and Snow Models E. Santi et al. 10.1109/TGRS.2022.3191409
- The Rofental: a high Alpine research basin (1890–3770 m a.s.l.) in the Ötztal Alps (Austria) with over 150 years of hydrometeorological and glaciological observations U. Strasser et al. 10.5194/essd-10-151-2018
- Glacio‐hydrological model calibration and evaluation M. van Tiel et al. 10.1002/wat2.1483
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Latest update: 02 Nov 2024
Short summary
The hydroclimatological model AMUNDSEN is set up to simulate snow and ice accumulation, ablation, and runoff for a study region in the Ötztal Alps (Austria) in the period 1997–2013. A new validation concept is introduced and demonstrated by evaluating the model performance using several independent data sets, e.g. snow depth measurements, satellite-derived snow maps, lidar data, glacier mass balances, and runoff measurements.
The hydroclimatological model AMUNDSEN is set up to simulate snow and ice accumulation,...