Articles | Volume 20, issue 7
https://doi.org/10.5194/hess-20-2811-2016
© 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/hess-20-2811-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
13 Jul 2016
Research article |
| 13 Jul 2016
Using dry and wet year hydroclimatic extremes to guide future hydrologic projections
Department of Forest Ecol. Manage., Swedish University of Agricultural Sciences, 901 83, Umeå, Sweden
Department of Biology, Trent University, 1600 West Bank Drive, Peterborough, ON, K9J 7B8, Canada
Martyn Futter
Department of Aquatic Sciences and Assessment, Swedish University of Agricultural Sciences, 750 07, Uppsala, Sweden
Jose Ledesma
Department of Aquatic Sciences and Assessment, Swedish University of Agricultural Sciences, 750 07, Uppsala, Sweden
Claudia Teutschbein
Department of Earth Sciences, Uppsala University, Villavagen 16, 752 36, Uppsala, Sweden
Jim Buttle
Department of Geography, Trent University, 1600 West Bank Drive, Peterborough, ON, K9J 7B8, Canada
Hjalmar Laudon
Department of Forest Ecol. Manage., Swedish University of Agricultural Sciences, 901 83, Umeå, Sweden
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Cited
13 citations as recorded by crossref.
- Concurrent wet and dry hydrological extremes at the global scale P. De Luca et al. 10.5194/esd-11-251-2020
- Future hydrological constraints of the Montseny brook newt (Calotriton arnoldi) under changing climate and vegetation cover J. Ledesma et al. 10.1002/ece3.5506
- Temporal and spatial transferabilities of hydrological models under different climates and underlying surface conditions W. Yang et al. 10.1016/j.jhydrol.2020.125276
- The ecohydrological impact of water resource developments through inundation regime analysis of a large semi-arid floodplain S. Shaeri Karimi et al. 10.1016/j.jhydrol.2021.126127
- Detectable Increase in Global Land Areas Susceptible to Precipitation Reversals Under the RCP8.5 Scenario L. Cheng & Z. Liu 10.1029/2022EF002948
- Robustness of storm water management model parameter sets for dry and wet hydroclimatic conditions M. Shahed Behrouz et al. 10.1016/j.jclepro.2023.137328
- The impact of calibration conditions on the transferability of conceptual hydrological models under stationary and nonstationary climatic conditions W. Yang et al. 10.1016/j.jhydrol.2022.128310
- Exploring an intelligent adaptation method of hydrological model parameters for flood simulations based on the light gradient-boosting machine K. Lin et al. 10.1016/j.jhydrol.2023.130340
- Climate, snowmelt dynamics and atmospheric deposition interact to control dissolved organic carbon export from a northern forest stream over 26 years K. Meingast et al. 10.1088/1748-9326/ab9c4e
- Soil temperature responses to climate change along a gradient of upland–riparian transect in boreal forest S. Oni et al. 10.1007/s10584-017-1977-1
- Gridded climate data products are an alternative to instrumental measurements as inputs to rainfall–runoff models J. Ledesma & M. Futter 10.1002/hyp.11269
- Riparian evapotranspiration is essential to simulate streamflow dynamics and water budgets in a Mediterranean catchment A. Lupon et al. 10.5194/hess-22-4033-2018
- How landscape organization and scale shape catchment hydrology and biogeochemistry: insights from a long‐term catchment study H. Laudon & R. Sponseller 10.1002/wat2.1265
13 citations as recorded by crossref.
- Concurrent wet and dry hydrological extremes at the global scale P. De Luca et al. 10.5194/esd-11-251-2020
- Future hydrological constraints of the Montseny brook newt (Calotriton arnoldi) under changing climate and vegetation cover J. Ledesma et al. 10.1002/ece3.5506
- Temporal and spatial transferabilities of hydrological models under different climates and underlying surface conditions W. Yang et al. 10.1016/j.jhydrol.2020.125276
- The ecohydrological impact of water resource developments through inundation regime analysis of a large semi-arid floodplain S. Shaeri Karimi et al. 10.1016/j.jhydrol.2021.126127
- Detectable Increase in Global Land Areas Susceptible to Precipitation Reversals Under the RCP8.5 Scenario L. Cheng & Z. Liu 10.1029/2022EF002948
- Robustness of storm water management model parameter sets for dry and wet hydroclimatic conditions M. Shahed Behrouz et al. 10.1016/j.jclepro.2023.137328
- The impact of calibration conditions on the transferability of conceptual hydrological models under stationary and nonstationary climatic conditions W. Yang et al. 10.1016/j.jhydrol.2022.128310
- Exploring an intelligent adaptation method of hydrological model parameters for flood simulations based on the light gradient-boosting machine K. Lin et al. 10.1016/j.jhydrol.2023.130340
- Climate, snowmelt dynamics and atmospheric deposition interact to control dissolved organic carbon export from a northern forest stream over 26 years K. Meingast et al. 10.1088/1748-9326/ab9c4e
- Soil temperature responses to climate change along a gradient of upland–riparian transect in boreal forest S. Oni et al. 10.1007/s10584-017-1977-1
- Gridded climate data products are an alternative to instrumental measurements as inputs to rainfall–runoff models J. Ledesma & M. Futter 10.1002/hyp.11269
- Riparian evapotranspiration is essential to simulate streamflow dynamics and water budgets in a Mediterranean catchment A. Lupon et al. 10.5194/hess-22-4033-2018
- How landscape organization and scale shape catchment hydrology and biogeochemistry: insights from a long‐term catchment study H. Laudon & R. Sponseller 10.1002/wat2.1265
Latest update: 10 Dec 2024
Short summary
This paper presents an important framework to improve hydrologic projections in cold regions. Hydrologic modelling/projections are often based on model calibration to long-term data. Here we used dry and wet years as a proxy to quantify uncertainty in projecting hydrologic extremes. We showed that projections based on long-term data could underestimate runoff by up to 35% in boreal regions. We believe the hydrologic modelling community will benefit from new insights derived from this study.
This paper presents an important framework to improve hydrologic projections in cold regions....
