Neural network post-processed WRF-Hydro river discharge forced by a Met Office Hadley Centre Global Environmental Model (HadGEM2 SSP2 4.5) simulation (English, French, NETCDF)

View metadata and access the original English/French NETCDF file: Neural network post-processed WRF-Hydro river discharge forced by a Met Office Hadley Centre Global Environmental Model (HadGEM2 SSP2 4.5) simulation.

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2026-03-24

PURPOSE: Freshwater discharge is used to force eastern Canadian ocean models DESCRIPTION: Neural network post-processed WRF-Hydro streamflow timeseries at 477 oceanic river outlets, where lat/lon are proxy position, riverlat/lon are outlet position, and oceanlat/lon are ocean pour points that are displaced slightly into the ocean (next to outlet position on the WRF-Hydro grid). The 477 eastern Canadian rivers were modelled using WRF-Hydro, which was forced by four CMIP models subject to WRF downscaling of atmospheric forcing. The four models are an NCAR Community Climate System Model (CCSM-4 SSP5 8.5) simulation (Meehl et al., 2012), two Met Office Hadley Centre Global Environmental Model (HadGEM2 SSP2 4.5 and SSP5 8.5) simulations (Collins et al., 2011), and a Max Planck Institute for Meteorology Earth System Model (MPI-ESM1.2-LR SSP5 8.5) simulation (Mauritsen et al., 2019). Variables and their descriptions are included in the NetCDF file. USE LIMITATION: To ensure scientific integrity and appropriate use of the data, we would encourage you to contact the data custodian.

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