Medium-Resolution Surface Meteorological Forcing Data for Hydrological Modelling and Climate Change Impact Analysis over most of North America

Asong, Zilefac Elvis

https://ror.org/05997db74;https://ror.org/010x8gc63

Global Institute for Water Security; University of Saskatchewan

https://orcid.org/0000-0001-7086-6764

Elshamy, Mohamed

https://ror.org/05997db74;https://ror.org/010x8gc63

Global Institute for Water Security; University of Saskatchewan

https://orcid.org/0000-0002-3621-0021

Princz, Daniel

https://ror.org/026ny0e17

Environment and Climate Change Canada

Wheater, Howard

https://ror.org/05997db74;https://ror.org/010x8gc63

Global Institute for Water Security; University of Saskatchewan

Pomeroy, John

https://ror.org/05997db74;https://ror.org/010x8gc63

Global Institute for Water Security; University of Saskatchewan

Pietroniro, Alain

https://ror.org/026ny0e17

Environment and Climate Change Canada

Cannon, Alex

https://ror.org/026ny0e17

Environment and Climate Change Canada

2020-05-01T04:02:59Z

2020-05-01T04:02:59Z

2020-04-30

https://www.frdr-dfdr.ca/repo/dataset/b5282132-c20f-c04b-8816-9439d75802cd

https://doi.org/10.20383/101.0230

This dataset provides an improved set of forcing data for large-scale hydrological modelling and climate change impacts assessment over a domain covering most of North America. The EU WATCH ERA-Interim reanalysis (WFDEI) has a long historical record (1979-2016) and global coverage. 30 years of WFDEI data (1979-2008) were used to bias-correct climate projections from 15 ensemble members of Canadian Centre for Climate Modelling and Analysis Canadian Regional Climate Model (CanRCM4) simulations between 1951–2100 under Representative Concentration Pathway— RCP8.5. A multivariate bias correction algorithm (MBCn) was used to adjust the joint distribution of a set of seven meteorological variables, preserving their auto and cross correlations simultaneously. An analysis of the datasets shows the biases in the CanRCM4 during the historical period with respect to WFDEI have been removed and that the climate change signals in CanRCM4 are preserved. The resulting bias-corrected dataset (CanRCM4-WFDEI 3h*0.50ᵒ resolution) is a consistent set of historical and climate projection data suitable for large-scale modelling and future climate scenario analysis. **Please note: This dataset is linked to an ESSD paper at https://doi.org/10.5194/essd-12-629-2020.  The authors kindly request that you reference this paper in addition to the dataset.

Federated Research Data Repository / dépôt fédéré de données de recherche

Creative Commons Attribution 4.0 International (CC BY 4.0)

https://creativecommons.org/licenses/by/4.0/

Cold regions processes

Observations

Bias correction

Medium-Resolution Surface Meteorological Forcing Data for Hydrological Modelling and Climate Change Impact Analysis over most of North America

515c70c4-2eb8-4f2a-b406-7959b5edc28d

/6/published/publication_228/

2020

1951-01-01/2100-12-31

Dataset

https://doi.org/10.5194/essd-12-629-2020

https://doi.org/10.1007/s00382-017-3580-6

https://doi.org/10.1175/jcli-d-15-0161.1

https://doi.org/10.1002/2014WR015638

30 -150 72 -50

North America;-;-;-

Global Water Futures (GWF)

Canada First Research Excellence Fund (CFREF)

Global Water Futures Program (GWF)

RDF1050112

Earth and related environmental sciences

Atmospheric sciences

Climate modelling

Sciences de la Terre et sciences de l'environnement connexes

Sciences de l'atmosphère

Modélisation climatique