Articles | Volume 22, issue 3
https://doi.org/10.5194/hess-22-1775-2018
© 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-22-1775-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Mapping (dis)agreement in hydrologic projections
Hydrology and Quantitative Water Management Group, Wageningen University, Wageningen, the Netherlands
Nans Addor
National Center for Atmospheric Research (NCAR), Boulder, CO, USA
Climatic Research Unit, University of East Anglia, Norwich, UK
Naoki Mizukami
National Center for Atmospheric Research (NCAR), Boulder, CO, USA
Andrew J. Newman
National Center for Atmospheric Research (NCAR), Boulder, CO, USA
Paul J. J. F. Torfs
Hydrology and Quantitative Water Management Group, Wageningen University, Wageningen, the Netherlands
Martyn P. Clark
National Center for Atmospheric Research (NCAR), Boulder, CO, USA
Remko Uijlenhoet
Hydrology and Quantitative Water Management Group, Wageningen University, Wageningen, the Netherlands
Adriaan J. Teuling
Hydrology and Quantitative Water Management Group, Wageningen University, Wageningen, the Netherlands
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- It Takes a Village to Run a Model—The Social Practices of Hydrological Modeling L. Melsen 10.1029/2021WR030600
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- Inferring reservoir filling strategies under limited-data-availability conditions using hydrological modeling and Earth observations: the case of the Grand Ethiopian Renaissance Dam (GERD) A. Ali et al. 10.5194/hess-27-4057-2023
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- Mountain Lake Evaporation: A Comparative Study between Hourly Estimations Models and In Situ Measurements A. Pérez et al. 10.3390/w12092648
- From Flood to Drip Irrigation Under Climate Change: Impacts on Evapotranspiration and Groundwater Recharge in the Mediterranean Region of Valencia (Spain) S. Pool et al. 10.1029/2020EF001859
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- Lead-time-dependent calibration of a flood forecasting model P. Astagneau et al. 10.1016/j.jhydrol.2024.132119
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- Hydrologic impacts of changing land use and climate in the Veneto lowlands of Italy A. Pijl et al. 10.1016/j.ancene.2018.04.001
- Large-sample hydrology: recent progress, guidelines for new datasets and grand challenges N. Addor et al. 10.1080/02626667.2019.1683182
- Effects of 21st century climate change on seasonal flow regimes and hydrologic extremes over the Midwest and Great Lakes region of the US K. Byun et al. 10.1016/j.scitotenv.2018.09.063
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- Global ecosystem restoration and water resources availability A. Teuling 10.1038/s44221-024-00328-0
Latest update: 20 Nov 2024
Short summary
Long-term hydrological predictions are important for water management planning, but are also prone to uncertainty. This study investigates three sources of uncertainty for long-term hydrological predictions in the US: climate models, hydrological models, and hydrological model parameters. Mapping the results revealed spatial patterns in the three sources of uncertainty: different sources of uncertainty dominate in different regions.
Long-term hydrological predictions are important for water management planning, but are also...