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.
Research article
| 
06 Jun 2018
Research article |
| 06 Jun 2018
| 06 Jun 2018
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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- Impact of climate change on the hydrological projections over a western Himalayan river basin and the associated uncertainties M. Mehboob & Y. Kim https://doi.org/10.1016/j.jhydrol.2023.130460
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- Downscaled CMIP6 future climate projections for New Zealand: climatology and extremes P. Gibson et al. https://doi.org/10.1016/j.wace.2025.100784
- Current research status of large river systems: a cross-continental comparison W. Su et al. https://doi.org/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. https://doi.org/10.1002/joc.6966
- Characteristics and large‐scale drivers of atmospheric rivers associated with extreme floods in New Zealand D. Kingston et al. https://doi.org/10.1002/joc.7415
- The role of the cryosphere for runoff in a highly glacierised alpine catchment, an approach with a coupled model and in situ data A. Lambrecht & C. Mayer https://doi.org/10.1017/jog.2024.48
- An integrated assessment of hydro-meteorological extremes and water scarcity in a mountainous river catchment under climate change P. Prakash & V. Chembolu https://doi.org/10.1080/02626667.2025.2566263
- Review of approaches for selection and ensembling of GCMs K. Raju & D. Kumar https://doi.org/10.2166/wcc.2020.128
- Characterising spatio-temporal variability in seasonal snow cover at a regional scale from MODIS data: the Clutha Catchment, New Zealand T. Redpath et al. https://doi.org/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. https://doi.org/10.1016/j.jhydrol.2021.126020
- Partitioning uncertainty from climate change inputs on water balance projections in the Bicol River Basin, Philippines E. Bañares & M. Mehboob https://doi.org/10.1016/j.rineng.2025.107228
- Elevation dependency of snowfall changes under climate change over the Tibetan Plateau: Evidence from CMIP6 GCMs Y. Gao et al. https://doi.org/10.1016/j.atmosres.2024.107832
- Impacts of climate change on environmental flows in West Africa’s Upper Niger Basin and the Inner Niger Delta J. Thompson et al. https://doi.org/10.2166/nh.2021.041
- Intercomparison of bias correction methods for precipitation of multiple GCMs across six continents Y. Song & E. Chung https://doi.org/10.5194/gmd-18-8017-2025
- Characterising Local Flood‐Inducing Heavy Rainfall Through Daily Weather Types and Large‐Scale Climatic Patterns: Aotearoa New Zealand Study Case A. Pozo et al. https://doi.org/10.1002/joc.8762
- Climate and rivers G. McGregor https://doi.org/10.1002/rra.3508
- Future evolution and uncertainty of river flow regime change in a deglaciating river basin J. Mackay et al. https://doi.org/10.5194/hess-23-1833-2019
- New Zealand River Hydrology under Late 21st Century Climate Change D. Collins https://doi.org/10.3390/w12082175
- Differences in extremes and uncertainties in future runoff simulations using SWAT and LSTM for SSP scenarios Y. Song et al. https://doi.org/10.1016/j.scitotenv.2022.156162
- An Integrated Modeling Framework in Projections of Hydrological Extremes H. Meresa et al. https://doi.org/10.1007/s10712-022-09737-w
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