Articles | Volume 24, issue 7
https://doi.org/10.5194/hess-24-3725-2020
© Author(s) 2020. 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-24-3725-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
23 Jul 2020
Research article |
| 23 Jul 2020
| 23 Jul 2020
Climate-dependent propagation of precipitation uncertainty into the water cycle
Ali Fallah
CORRESPONDING AUTHOR
Department of Civil and Environmental Engineering, Shiraz University,
Shiraz, Iran
Department of Biogeochemical Integration, Max Planck Institute for
Biogeochemistry, 07745 Jena, Germany
Sungmin O
Department of Biogeochemical Integration, Max Planck Institute for
Biogeochemistry, 07745 Jena, Germany
Rene Orth
Department of Biogeochemical Integration, Max Planck Institute for
Biogeochemistry, 07745 Jena, Germany
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16 citations as recorded by crossref.
- Effects of meteorological forcing uncertainty on high-resolution snow modeling and streamflow prediction in a mountainous karst watershed C. Tyson et al. 10.1016/j.jhydrol.2023.129304
- Water cycle changes in Czechia: a multi-source water budget perspective M. Vargas Godoy et al. 10.5194/hess-28-1-2024
- Seasonal variability in the global relevance of mountains to satisfy lowland water demand S. Hanus et al. 10.1088/1748-9326/ad8507
- Downscaling Daily Satellite-Based Precipitation Estimates Using MODIS Cloud Optical and Microphysical Properties in Machine-Learning Models S. Medrano et al. 10.3390/atmos14091349
- Assessing the changeability of precipitation patterns using multiple remote sensing data and an efficient uncertainty method over different climate regions of Iran M. Fooladi et al. 10.1016/j.eswa.2023.119788
- Reliability of SM2RAIN precipitation datasets in comparison to gauge observations and hydrological modelling over arid regions F. Satgé et al. 10.1002/joc.6704
- Suitability of 17 gridded rainfall and temperature datasets for large-scale hydrological modelling in West Africa M. Dembélé et al. 10.5194/hess-24-5379-2020
- Contrasting Drought Propagation Into the Terrestrial Water Cycle Between Dry and Wet Regions W. Li et al. 10.1029/2022EF003441
- Evaluation of RFE Satellite Precipitation and its Use in Streamflow Simulation in Poorly Gauged Basins S. Darko et al. 10.1007/s40710-021-00495-2
- Evaluation of GPM IMERG satellite precipitation for rainfall–runoff modelling in Great Britain J. Gautam et al. 10.1080/02626667.2024.2394172
- Hydrological evaluation of radar and satellite gauge-merged precipitation datasets using the SWAT model: Case of the Terauchi catchment in Japan S. Mtibaa & S. Asano 10.1016/j.ejrh.2022.101134
- Evaluation of Three High-Resolution Remote Sensing Precipitation Products on the Tibetan Plateau S. Yu et al. 10.3390/w14142169
- Groundwater stress in Europe—assessing uncertainties in future groundwater discharge alterations due to water abstractions and climate change L. Söller et al. 10.3389/frwa.2024.1448625
- Propagation of CMORPH rainfall errors to REW streamflow simulation mismatch in the upper Zambezi Basin W. Gumindoga et al. 10.1016/j.ejrh.2021.100966
- Predicting the dissolved natural organic matter (DNOM) concentration and the specific ultraviolet absorption (sUVa) index in a browning central European stream S. Haaland et al. 10.1016/j.ecolind.2024.112200
- How well do the multi-satellite and atmospheric reanalysis products perform in hydrological modelling L. Gu et al. 10.1016/j.jhydrol.2022.128920
Latest update: 13 Dec 2024
Short summary
We find that simulated runoff values are highly dependent on the accuracy of precipitation inputs. In contrast, simulated evapotranspiration is generally much less influenced in our comparatively wet study region. We also find that the impact of precipitation uncertainty on simulated runoff increases towards wetter regions, while the opposite is observed in the case of evapotranspiration.
We find that simulated runoff values are highly dependent on the accuracy of precipitation...
