Articles | Volume 17, issue 2
https://doi.org/10.5194/hess-17-619-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-17-619-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
The importance of glacier and forest change in hydrological climate-impact studies
N. Köplin
Institute of Geography, University of Bern, Switzerland
Oeschger Centre for Climate Change Research, University of Bern, Switzerland
B. Schädler
Institute of Geography, University of Bern, Switzerland
Oeschger Centre for Climate Change Research, University of Bern, Switzerland
D. Viviroli
Institute of Geography, University of Bern, Switzerland
Oeschger Centre for Climate Change Research, University of Bern, Switzerland
R. Weingartner
Institute of Geography, University of Bern, Switzerland
Oeschger Centre for Climate Change Research, University of Bern, Switzerland
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18 citations as recorded by crossref.
- How can expert knowledge increase the realism of conceptual hydrological models? A case study based on the concept of dominant runoff process in the Swiss Pre-Alps M. Antonetti & M. Zappa 10.5194/hess-22-4425-2018
- An Integrated Modelling System to Predict Hydrological Processes under Climate and Land-Use/Cover Change Scenarios B. Farjad et al. 10.3390/w9100767
- Quantifying dynamic sensitivity of optimization algorithm parameters to improve hydrological model calibration W. Qi et al. 10.1016/j.jhydrol.2015.11.052
- Climate change impacts on future snow, ice and rain runoff in a Swiss mountain catchment using multi-dataset calibration S. Etter et al. 10.1016/j.ejrh.2017.08.005
- Effective precipitation duration for runoff peaks based on catchment modelling A. Sikorska et al. 10.1016/j.jhydrol.2017.11.028
- Impact assessment of land use planning driving forces on environment L. Chen et al. 10.1016/j.eiar.2015.08.001
- Managing the forest-water nexus for climate change adaptation M. Zhang et al. 10.1016/j.foreco.2022.120545
- CAMELS-CH: hydro-meteorological time series and landscape attributes for 331 catchments in hydrologic Switzerland M. Höge et al. 10.5194/essd-15-5755-2023
- Ecohydrological dynamics in the Alps: Insights from a modelling analysis of the spatial variability T. Mastrotheodoros et al. 10.1002/eco.2054
- FORests and HYdrology under Climate Change in Switzerland v1.0: a spatially distributed model combining hydrology and forest dynamics M. Speich et al. 10.5194/gmd-13-537-2020
- GeoZ: a Region-Based Visualization of Clustering Algorithms K. ElHaj et al. 10.1007/s41651-023-00146-0
- Why do we have so many different hydrological models? A review based on the case of Switzerland P. Horton et al. 10.1002/wat2.1574
- Research on application of ecohydrology to disaster prevention and mitigation in China: a review G. Fan et al. 10.2166/ws.2021.426
- Hydrological impacts of climate and land‐use changes in a mountain watershed: uncertainty estimation based on model comparison E. Morán‐Tejeda et al. 10.1002/eco.1590
- Can a regionalized model parameterisation be improved with a limited number of runoff measurements? D. Viviroli & J. Seibert 10.1016/j.jhydrol.2015.07.009
- A century of variability of heatwave-driven streamflow in melt-driven basins and implications under climate change S. Anderson & S. Chartrand 10.1088/1748-9326/ad7ede
- Technical note: Representing glacier geometry changes in a semi-distributed hydrological model J. Seibert et al. 10.5194/hess-22-2211-2018
- Robust estimates of climate-induced hydrological change in a temperate mountainous region N. Köplin et al. 10.1007/s10584-013-1015-x
3 citations as recorded by crossref.
- Relating climate change signals and physiographic catchment properties to clustered hydrological response types N. Köplin et al. 10.5194/hess-16-2267-2012
- Comparing three different methods to model scenarios of future glacier change in the Swiss Alps A. Linsbauer et al. 10.3189/2013AoG63A400
- Rule-based land use/land cover classification in coastal areas using seasonal remote sensing imagery: a case study from Lianyungang City, China X. Yang et al. 10.1007/s10661-015-4667-3
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