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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36 citations as recorded by crossref.
- Gridded daily precipitation data for Iran: A comparison of different methods A. Bárdossy et al. 10.1016/j.ejrh.2021.100958
- Evaluation of gridded precipitation products in the selected sub-basins of Lower Mekong River Basin S. Dhungana et al. 10.1007/s00704-022-04268-1
- Assessing environmental sustainability of a vital crop in a critical region: Investigating climate change impacts on agriculture using the SWAT model and HWA method K. Javan & M. Darestani 10.1016/j.heliyon.2024.e25326
- Climate change impacts on streamflow and nutrient loading to Lake Okeechobee J. Song et al. 10.1007/s10584-023-03660-8
- Efficiency of global precipitation datasets in tropical and subtropical catchments revealed by large sampling hydrological modelling J. Andrade et al. 10.1016/j.jhydrol.2024.131016
- Employing gridded-based dataset for heatwave assessment and future projection in Peninsular Malaysia Z. Sa’adi et al. 10.1007/s00704-024-04946-2
- Groundwater Fluctuation of a Meliorated Forest Catchment in Connection with the Climate and the Growth of Forest Stands—30 Years of Monitoring O. Špulák et al. 10.3390/w15030432
- A quantile mapping approach‐based bias correction in Coupled Model Intercomparison Project Phase 5 models for decadal temperature predictions over India J. Patel et al. 10.1002/joc.7376
- A deep learning-based framework for multi-source precipitation fusion K. Gavahi et al. 10.1016/j.rse.2023.113723
- 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
- Daily streamflow prediction in ungauged basins: an analysis of common regionalization methods over the African continent M. Tarek et al. 10.1080/02626667.2021.1948046
- Regional evaluation of groundwater-surface water interactions using a coupled geohydrological model (SWAT+gwflow) E. Yimer et al. 10.1016/j.ejrh.2023.101532
- Contrasting changes in hydrological processes of the Volta River basin under global warming M. Dembélé et al. 10.5194/hess-26-1481-2022
- Climate Change Impacts Assessment Using Crop Simulation Model Intercomparison Approach in Northern Indo-Gangetic Basin of Bangladesh M. Chawdhery et al. 10.3390/ijerph192315829
- Evaluating the Performance of Satellite Derived Temperature and Precipitation Datasets in Ecuador R. Huber Magoffin et al. 10.3390/rs15245713
- Toward an improved ensemble of multi-source daily precipitation via joint machine learning classification and regression H. Chen et al. 10.1016/j.atmosres.2024.107385
- Climatic projections of Western India using global and regional climate models M. Shaikh et al. 10.2166/wpt.2022.090
- Robust bias-correction of precipitation extremes using a novel hybrid empirical quantile-mapping method M. Holthuijzen et al. 10.1007/s00704-022-04035-2
- Comparative evaluation of machine learning techniques in predicting fundamental meteorological factors based on survey data from 1981 to 2021 I. Mohammed et al. 10.1007/s41324-023-00561-x
- River runoff estimation with satellite rainfall in Morocco Y. Tramblay et al. 10.1080/02626667.2023.2171295
- Assessment of global reanalysis precipitation for hydrological modelling in data-scarce regions: A case study of Kenya M. Wanzala et al. 10.1016/j.ejrh.2022.101105
- High Sensitivity of Compound Drought and Heatwave Events to Global Warming in the Future Q. Zhang et al. 10.1029/2022EF002833
- Exploring the Best-Matching Precipitation Traits in Four Long-Term Mainstream Products over China from 1981 to 2020 X. Li et al. 10.3390/rs15133355
- Comprehensive quantitative assessment of the performance of fourteen satellite precipitation products over Chinese mainland S. Zhu & Z. Liu 10.1007/s00382-024-07237-8
- Spatio‐temporal discretization uncertainty of distributed hydrological models S. Markhali et al. 10.1002/hyp.14635
- Climate change dominates the increasing exposure of global population to compound heatwave and humidity extremes in the future Y. Wei et al. 10.1007/s00382-024-07199-x
- 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
- Climate change–drylands–food security nexus in Africa: From the perspective of technical advances, challenges, and opportunities H. Hirwa et al. 10.3389/fenvs.2022.851249
- A Data- and Knowledge-Driven Method for Fusing Satellite-Derived and Ground-Based Precipitation Observations F. Chen et al. 10.1109/TGRS.2024.3385647
- Evaluation of the performance of meteorological drought indices in Morocco: A case study of different climatic zones A. Oubaha et al. 10.1002/joc.8565
- Evaluation of Spatial-Temporal Characteristics of Rainfall Variations over Thailand Inferred from Different Gridded Datasets K. Torsri et al. 10.3390/w14091359
- Interpolating climate variables by using INLA and the SPDE approach G. Fioravanti et al. 10.1002/joc.8240
- How Do CMIP6 HighResMIP Models Perform in Simulating Precipitation Extremes over East Africa? H. Babaousmail et al. 10.3390/hydrology11070106
- Selecting the optimal gridded climate dataset for Nigeria using advanced time series similarity algorithms B. Tanimu et al. 10.1007/s11356-024-32128-0
3 citations as recorded by crossref.
- Climate change impacts on surface water resources in the Oued El Abid basin, Morocco E. El Khalki et al. 10.1080/02626667.2021.1982137
- Multivariate Bias‐Correction of High‐Resolution Regional Climate Change Simulations for West Africa: Performance and Climate Change Implications D. Dieng et al. 10.1029/2021JD034836
- 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: 20 Nov 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...