Articles | Volume 22, issue 6
https://doi.org/10.5194/hess-22-3125-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-22-3125-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Intercomparison of different uncertainty sources in hydrological climate change projections for an alpine catchment (upper Clutha River, New Zealand)
Andreas M. Jobst
CORRESPONDING AUTHOR
Department of Geography, University of Otago, P.O. Box 56, Dunedin, New Zealand
Daniel G. Kingston
Department of Geography, University of Otago, P.O. Box 56, Dunedin, New Zealand
Nicolas J. Cullen
Department of Geography, University of Otago, P.O. Box 56, Dunedin, New Zealand
Josef Schmid
Department of Geography, Ludwig Maximilian University (LMU), Munich, Germany
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Cited
24 citations as recorded by crossref.
- Hydrological response to warm and dry weather: do glaciers compensate? M. Van Tiel et al. 10.5194/hess-25-3245-2021
- Characteristics and large‐scale drivers of atmospheric rivers associated with extreme floods in New Zealand D. Kingston et al. 10.1002/joc.7415
- Uncertainties and their interaction in flood hazard assessment with climate change H. Meresa et al. 10.5194/hess-25-5237-2021
- Review of approaches for selection and ensembling of GCMs K. Raju & D. Kumar 10.2166/wcc.2020.128
- An upstream–downstream/observation–model approach to quantify the human influence on drought D. Kingston et al. 10.1080/02626667.2020.1849706
- Climate change impacts on seasonal runoff in the source region of the Yellow River: Insights from CORDEX experiments with uncertainty analysis Y. Gao et al. 10.1016/j.jhydrol.2024.132132
- Characterising spatio-temporal variability in seasonal snow cover at a regional scale from MODIS data: the Clutha Catchment, New Zealand T. Redpath et al. 10.5194/hess-23-3189-2019
- Reducing hydrological modelling uncertainty by using MODIS snow cover data and a topography-based distribution function snowmelt model N. Di Marco et al. 10.1016/j.jhydrol.2021.126020
- Projected Changes in the Water Budget for Eastern Colombia Due to Climate Change O. Molina et al. 10.3390/w12010065
- Spatiotemporal differences and uncertainties in projections of precipitation and temperature in South Korea from CMIP6 and CMIP5 general circulation models Y. Song et al. 10.1002/joc.7159
- Dynamical downscaling CMIP6 models over New Zealand: added value of climatology and extremes P. Gibson et al. 10.1007/s00382-024-07337-5
- Multi-driver ensemble to evaluate the water utility business interruption cost induced by hydrological drought risk scenarios in Brazil D. Guzmán et al. 10.1080/1573062X.2022.2058564
- Impacts of climate change on environmental flows in West Africa's Upper Niger Basin and the Inner Niger Delta J. Thompson et al. 10.2166/nh.2021.041
- Revisiting hydro-ecological impacts of climate change on a restored floodplain wetland via hydrological / hydraulic modelling and the UK Climate Projections 2018 scenarios J. Thompson et al. 10.1007/s13157-023-01708-0
- Quantifying uncertainty sources in extreme flow projections for three watersheds with different climate features in China L. Zhang et al. 10.1016/j.atmosres.2020.105331
- General Circulation Model Selection Technique for Downscaling: Exemplary Application to East Africa C. Pickler & T. Mölg 10.1029/2020JD033033
- Impact of climate change on the hydrological projections over a western Himalayan river basin and the associated uncertainties M. Mehboob & Y. Kim 10.1016/j.jhydrol.2023.130460
- Climate and rivers G. McGregor 10.1002/rra.3508
- Future evolution and uncertainty of river flow regime change in a deglaciating river basin J. Mackay et al. 10.5194/hess-23-1833-2019
- New Zealand River Hydrology under Late 21st Century Climate Change D. Collins 10.3390/w12082175
- Differences in extremes and uncertainties in future runoff simulations using SWAT and LSTM for SSP scenarios Y. Song et al. 10.1016/j.scitotenv.2022.156162
- An Integrated Modeling Framework in Projections of Hydrological Extremes H. Meresa et al. 10.1007/s10712-022-09737-w
- Current research status of large river systems: a cross-continental comparison W. Su et al. 10.1007/s11356-020-09879-7
- The influence of atmospheric circulation patterns during large snowfall events in New Zealand's Southern Alps R. Porhemmat et al. 10.1002/joc.6966
24 citations as recorded by crossref.
- Hydrological response to warm and dry weather: do glaciers compensate? M. Van Tiel et al. 10.5194/hess-25-3245-2021
- Characteristics and large‐scale drivers of atmospheric rivers associated with extreme floods in New Zealand D. Kingston et al. 10.1002/joc.7415
- Uncertainties and their interaction in flood hazard assessment with climate change H. Meresa et al. 10.5194/hess-25-5237-2021
- Review of approaches for selection and ensembling of GCMs K. Raju & D. Kumar 10.2166/wcc.2020.128
- An upstream–downstream/observation–model approach to quantify the human influence on drought D. Kingston et al. 10.1080/02626667.2020.1849706
- Climate change impacts on seasonal runoff in the source region of the Yellow River: Insights from CORDEX experiments with uncertainty analysis Y. Gao et al. 10.1016/j.jhydrol.2024.132132
- Characterising spatio-temporal variability in seasonal snow cover at a regional scale from MODIS data: the Clutha Catchment, New Zealand T. Redpath et al. 10.5194/hess-23-3189-2019
- Reducing hydrological modelling uncertainty by using MODIS snow cover data and a topography-based distribution function snowmelt model N. Di Marco et al. 10.1016/j.jhydrol.2021.126020
- Projected Changes in the Water Budget for Eastern Colombia Due to Climate Change O. Molina et al. 10.3390/w12010065
- Spatiotemporal differences and uncertainties in projections of precipitation and temperature in South Korea from CMIP6 and CMIP5 general circulation models Y. Song et al. 10.1002/joc.7159
- Dynamical downscaling CMIP6 models over New Zealand: added value of climatology and extremes P. Gibson et al. 10.1007/s00382-024-07337-5
- Multi-driver ensemble to evaluate the water utility business interruption cost induced by hydrological drought risk scenarios in Brazil D. Guzmán et al. 10.1080/1573062X.2022.2058564
- Impacts of climate change on environmental flows in West Africa's Upper Niger Basin and the Inner Niger Delta J. Thompson et al. 10.2166/nh.2021.041
- Revisiting hydro-ecological impacts of climate change on a restored floodplain wetland via hydrological / hydraulic modelling and the UK Climate Projections 2018 scenarios J. Thompson et al. 10.1007/s13157-023-01708-0
- Quantifying uncertainty sources in extreme flow projections for three watersheds with different climate features in China L. Zhang et al. 10.1016/j.atmosres.2020.105331
- General Circulation Model Selection Technique for Downscaling: Exemplary Application to East Africa C. Pickler & T. Mölg 10.1029/2020JD033033
- Impact of climate change on the hydrological projections over a western Himalayan river basin and the associated uncertainties M. Mehboob & Y. Kim 10.1016/j.jhydrol.2023.130460
- Climate and rivers G. McGregor 10.1002/rra.3508
- Future evolution and uncertainty of river flow regime change in a deglaciating river basin J. Mackay et al. 10.5194/hess-23-1833-2019
- New Zealand River Hydrology under Late 21st Century Climate Change D. Collins 10.3390/w12082175
- Differences in extremes and uncertainties in future runoff simulations using SWAT and LSTM for SSP scenarios Y. Song et al. 10.1016/j.scitotenv.2022.156162
- An Integrated Modeling Framework in Projections of Hydrological Extremes H. Meresa et al. 10.1007/s10712-022-09737-w
- Current research status of large river systems: a cross-continental comparison W. Su et al. 10.1007/s11356-020-09879-7
- The influence of atmospheric circulation patterns during large snowfall events in New Zealand's Southern Alps R. Porhemmat et al. 10.1002/joc.6966
Latest update: 20 Nov 2024