High-Resolution Meteorological Forcing Data for Hydrological Modelling and Climate Change Impact Analysis over most of North America, 1951-2100

https://doi.org/10.5194/essd-2019-103 GEM-CaPA: http://collaboration.cmc.ec.gc.ca/cmc/cmoi/product_guide/submenus/rdps_e.html 6-Hourly total precipitation data from CaPA: http://collaboration.cmc.ec.gc.ca/cmc/cmoi/product_guide/submenus/capa_e.html WFDE http://www.eu-watch.org/data_availability Station observations (ECCC) http://climate.weather.gc.ca/historical_data/search_historic_data_e.html

The high-resolution forecasts of the Global Environmental Multiscale (GEM) atmospheric model and outputs of the Canadian Precipitation Analysis (CaPA) have a short historical record. The EU WATCH ERA-Interim reanalysis (WFDEI) has a longer historical record, but has often been found to be biased relative to observations over Canada. The strengths of both datasets (GEM-CaPA and WFDEI) were blended to produce a less-biased long record product (WFDEI-GEM-CaPA) for hydrological modelling and climate change impacts assessment over the a domain covering most of North America. This product is then used to bias-correct climate projections from the Canadian Centre for Climate Modelling and Analysis Canadian Regional Climate Model (CanRCM4) from 1951 to 2100 under Representative Concentration Pathway RCP8.5, and an analysis of the datasets shows the biases in the original WFDEI product have been removed and the climate change signals in CanRCM4 are preserved. The resulting bias-corrected data (CanRCM4-WFDEI-GEM-CaPA 3h*0.125 deg resolution) are a consistent set of historical and climate projection data suitable for large-scale modelling and future climate scenario analysis. More details on the methods used in developing this product are in https://doi.org/10.5194/essd-2019-103 . These data are in NetCDF format and can be downloaded via the Cuizinart Platform ( http://cuizinart.io ) by selecting dataset labelled canrcm4-wfdei-gem-capa.

This dataset provides an improved set of forcing data for large scale hydrological models for climate change impacts assessment over most of North America. This data set will be used to support the objectives under the Global Water Futures Program funded by Canada First Research Excellence Fund.

Created WFDEI-GEM-CaPA, a less Canada-biased blend of: - forecasts of the Global Environmental Multiscale (GEM) atmospheric model, - outputs of the Canadian Precipitation Analysis (CaPA), and - the EU WATCH ERA-Interim reanalysis (WFDEI). for (most of) North America. WFDEI-GEM-CaPA used for - hydrological modelling and climate change impacts assessment, and further, - to bias-correct climate projections from climate projections from the CanRCM4 model (1951 to 2100) under RCP8.5. The resulting high-resolution, bias-corrected meteorological forcing data called CanRCM4-WFDEI-GEM-CaPA: - removed biases from WFDEI, and - preserved the climate change signals in CanRCM4.

Asong, Z. , Wheater, H. , Pomeroy, J. , Pietroniro, A. , Elshamy, M. , Princz, D. , Cannon, A. (2022) High-Resolution Meteorological Forcing Data for Hydrological Modelling and Climate Change Impact Analysis over most of North America, 1951-2100. Federated Research Data Repository. https://doi.org/10.20383/103.0622 Asong, Z. E., Wheater, H., Pomeroy, J., Pietroniro, A., Elshamy, M., Princz, D., & Cannon, A. (2019). High-Resolution Meteorological Forcing Data for Hydrological Modelling and Climate Change Impact Analysis over most of North America, 1951-2100. Waterloo, Canada: Canadian Cryospheric Information Network (CCIN). https://doi.org/10.5194/essd-2019-103

Canada and most of Conterminous US

Creative Commons Attribution 4.0 International (CC BY 4.0) https://creativecommons.org/licenses/by/4.0

https://www.frdr-dfdr.ca/repo/dataset/1d5246cb-bc3c-4ba2-9a8f-c691acf920a9 https://doi.org/10.20383/103.0622 Cuizinart Platform http://cuizinart.io Select canrcm4-wfdei-gem-capa DOI https://doi.org/10.5194/essd-2019-103