Articles | Volume 25, issue 6
https://doi.org/10.5194/hess-25-3331-2021
© Author(s) 2021. 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-25-3331-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Uncertainty of gridded precipitation and temperature reference datasets in climate change impact studies
Mostafa Tarek
CORRESPONDING AUTHOR
Hydrology, Climate and Climate Change Laboratory, École de technologie supérieure, 1100 Notre-Dame West, Montreal, Quebec H3C 1K3, Canada
Department of Civil Engineering, Military Technical College, Cairo, Egypt
François Brissette
Hydrology, Climate and Climate Change Laboratory, École de technologie supérieure, 1100 Notre-Dame West, Montreal, Quebec H3C 1K3, Canada
Richard Arsenault
Hydrology, Climate and Climate Change Laboratory, École de technologie supérieure, 1100 Notre-Dame West, Montreal, Quebec H3C 1K3, Canada
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- Projections of mean and extreme precipitation over China and their resolution dependence in the HighResMIP experiments J. Liang et al. 10.1016/j.atmosres.2023.106932
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- Robustness of climate indices relevant for agriculture in Africa deduced from GCMs and RCMs against reanalysis and gridded observations D. Abel et al. 10.1007/s00382-023-06956-8
- Evolution and drought hazard mapping of future meteorological and hydrological droughts using CMIP6 model S. Dixit et al. 10.1007/s00477-022-02230-1
- Quantifying the altitudinal response of water yield capacity to climate change in an alpine basin on the Tibetan Plateau through integrating the WRF-Hydro and Budyko framework L. Tian et al. 10.1016/j.catena.2024.108087
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- A Data- and Knowledge-Driven Method for Fusing Satellite-Derived and Ground-Based Precipitation Observations F. Chen et al. 10.1109/TGRS.2024.3385647
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- Uncertainty of gridded precipitation and temperature reference datasets in climate change impact studies M. Tarek et al. 10.5194/hess-25-3331-2021
Latest update: 13 Dec 2024
Short summary
It is not known how much uncertainty the choice of a reference data set may bring to impact studies. This study compares precipitation and temperature data sets to evaluate the uncertainty contribution to the results of climate change studies. Results show that all data sets provide good streamflow simulations over the reference period. The reference data sets also provided uncertainty that was equal to or larger than that related to general circulation models over most of the catchments.
It is not known how much uncertainty the choice of a reference data set may bring to impact...