Uncertainty of gridded precipitation and temperature reference datasets in climate change impact studies

Tarek, Mostafa; Brissette, François; Arsenault, Richard

doi:https://doi.org/10.5194/hess-25-3331-2021

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.

https://doi.org/10.5194/hess-25-3331-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 25, issue 6

Research article

|

16 Jun 2021

Research article |

| 16 Jun 2021

Uncertainty of gridded precipitation and temperature reference datasets in climate change impact studies

Mostafa Tarek, François Brissette, and Richard Arsenault

Data sets

NAC2H data base R. Arsenault, F. Brissette, and J. Chen https://osf.io/s97cd/

The ERA-Interim reanalysis dataset ECMF https://apps.ecmwf.int/datasets/90data/interim-full-daily/

The ERA5 reanalysis dataset ECMF https://cds.climate.copernicus.eu/#!/search?text=ERA5& type=dataset

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.