Articles | Volume 16, issue 7
https://doi.org/10.5194/hess-16-1969-2012
© Author(s) 2012. 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-16-1969-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
09 Jul 2012
Research article |
| 09 Jul 2012
Water balance estimation in high Alpine terrain by combining distributed modeling and a neural network approach (Berchtesgaden Alps, Germany)
G. Kraller
Institute for Geography and Regional Sciences, Karl-Franzens University of Graz, Heinrichstraße 36, 8010 Graz, Austria
M. Warscher
Institute of Meteorology and Climate Research (IMK-IFU), Karlsruhe Institute of Technology (KIT), Kreuzeckbahnstr. 19, 82467 Garmisch-Partenkirchen, Germany
H. Kunstmann
Institute of Meteorology and Climate Research (IMK-IFU), Karlsruhe Institute of Technology (KIT), Kreuzeckbahnstr. 19, 82467 Garmisch-Partenkirchen, Germany
Institute for Geography, University of Augsburg, Universitätsstr. 10, 86159 Augsburg, Germany
S. Vogl
Institute of Meteorology and Climate Research (IMK-IFU), Karlsruhe Institute of Technology (KIT), Kreuzeckbahnstr. 19, 82467 Garmisch-Partenkirchen, Germany
Institute for Geography, University of Augsburg, Universitätsstr. 10, 86159 Augsburg, Germany
T. Marke
Institute for Geography and Regional Sciences, Karl-Franzens University of Graz, Heinrichstraße 36, 8010 Graz, Austria
U. Strasser
Institute for Geography and Regional Sciences, Karl-Franzens University of Graz, Heinrichstraße 36, 8010 Graz, Austria
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Cited
13 citations as recorded by crossref.
- Dynamics of water fluxes and storages in an Alpine karst catchment under current and potential future climate conditions Z. Chen et al. 10.5194/hess-22-3807-2018
- Modelling forest snow processes with a new version of WaSiM K. Förster et al. 10.1080/02626667.2018.1518626
- Using Springs as Sentinels of Climate Change in Nature Parks North and South of the Alps: A Critical Evaluation of Methodological Aspects and Recommendations for Long-Term Monitoring M. Cantonati et al. 10.3390/w14182843
- Hydrological dynamics of snowmelt induced streamflow in a high mountain catchment of the Pyrenees under contrasting snow accumulation and duration years J. López‐Moreno et al. 10.1002/hyp.15127
- Combined Impacts of Land Use and Climate Change in the Modeling of Future Groundwater Vulnerability L. Huang et al. 10.1061/(ASCE)HE.1943-5584.0001493
- Expected Future Runoff of the Upper Jordan River Simulated with a CORDEX Climate Data Ensemble G. Smiatek & H. Kunstmann 10.1175/JHM-D-15-0066.1
- Use of artificial and natural tracers to assess groundwater transit-time distribution and flow systems in a high-alpine karst system (Wetterstein Mountains, Germany) U. Lauber & N. Goldscheider 10.1007/s10040-014-1173-6
- Snow model sensitivity analysis to understand spatial and temporal snow dynamics in a high‐elevation catchment M. Engel et al. 10.1002/hyp.11314
- Improved methods for estimating local terrestrial water dynamics from GRACE in the Northern High Plains W. Seyoum & A. Milewski 10.1016/j.advwatres.2017.10.021
- High-Resolution Climate Change Impact Analysis on Expected Future Water Availability in the Upper Jordan Catchment and the Middle East G. Smiatek et al. 10.1175/JHM-D-13-0153.1
- Quantification and characterization of the dynamics of spring and stream water systems in the Berchtesgaden Alps with a long-term stable isotope dataset J. Garvelmann et al. 10.1007/s12665-017-7107-6
- The Berchtesgaden National Park (Bavaria, Germany): a platform for interdisciplinary catchment research T. Marke et al. 10.1007/s12665-013-2317-z
- Intercomparison of Sentinel-2 and modelled snow cover maps in a high-elevation Alpine catchment F. Hofmeister et al. 10.1016/j.hydroa.2022.100123
13 citations as recorded by crossref.
- Dynamics of water fluxes and storages in an Alpine karst catchment under current and potential future climate conditions Z. Chen et al. 10.5194/hess-22-3807-2018
- Modelling forest snow processes with a new version of WaSiM K. Förster et al. 10.1080/02626667.2018.1518626
- Using Springs as Sentinels of Climate Change in Nature Parks North and South of the Alps: A Critical Evaluation of Methodological Aspects and Recommendations for Long-Term Monitoring M. Cantonati et al. 10.3390/w14182843
- Hydrological dynamics of snowmelt induced streamflow in a high mountain catchment of the Pyrenees under contrasting snow accumulation and duration years J. López‐Moreno et al. 10.1002/hyp.15127
- Combined Impacts of Land Use and Climate Change in the Modeling of Future Groundwater Vulnerability L. Huang et al. 10.1061/(ASCE)HE.1943-5584.0001493
- Expected Future Runoff of the Upper Jordan River Simulated with a CORDEX Climate Data Ensemble G. Smiatek & H. Kunstmann 10.1175/JHM-D-15-0066.1
- Use of artificial and natural tracers to assess groundwater transit-time distribution and flow systems in a high-alpine karst system (Wetterstein Mountains, Germany) U. Lauber & N. Goldscheider 10.1007/s10040-014-1173-6
- Snow model sensitivity analysis to understand spatial and temporal snow dynamics in a high‐elevation catchment M. Engel et al. 10.1002/hyp.11314
- Improved methods for estimating local terrestrial water dynamics from GRACE in the Northern High Plains W. Seyoum & A. Milewski 10.1016/j.advwatres.2017.10.021
- High-Resolution Climate Change Impact Analysis on Expected Future Water Availability in the Upper Jordan Catchment and the Middle East G. Smiatek et al. 10.1175/JHM-D-13-0153.1
- Quantification and characterization of the dynamics of spring and stream water systems in the Berchtesgaden Alps with a long-term stable isotope dataset J. Garvelmann et al. 10.1007/s12665-017-7107-6
- The Berchtesgaden National Park (Bavaria, Germany): a platform for interdisciplinary catchment research T. Marke et al. 10.1007/s12665-013-2317-z
- Intercomparison of Sentinel-2 and modelled snow cover maps in a high-elevation Alpine catchment F. Hofmeister et al. 10.1016/j.hydroa.2022.100123
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