Spatial datasets of CMIP6 climate change projections for Canada and the United States
Date
2025
Authors
McKenney, Daniel W.
Pedlar, John H.
Lawrence, Kevin
DeBoer, Kaitlin
Brescacin, Tiziana
Journal Title
Journal ISSN
Volume Title
Publisher
Data in Brief
Abstract
Geospatial climate change projections are critical for assessing climate change impacts and adaptations across a wide range of disciplines. Here we present monthly-based grids of climate change projections at a 2-km resolution covering Canada and the United States. These data products are based on outputs from the 6th Coupled Model Intercomparison Project (CMIP6) and include projections for 13 General Circulation Models (GCMs), three Shared Socio-economic Pathways (SSP1 2.6, SSP2 4.5, and SSP5 8.5), four 30-year time periods (2011–2040, 2021–2050, 2041–2070, and 2071–2100), and a suite of climate variables, including monthly maximum and minimum temperature, precipitation, climate moisture index, and various bioclimatic summaries. The products employ a delta downscaling method, which combines historical normal values at climate stations with broad-scale change projections (or deltas) from GCMs, followed by spatial interpolation using ANUSPLIN. Various quality control efforts, described herein, were undertaken to ensure that the final products provided reasonable estimates of future climate.
Description
Keywords
Canada, climate change, CMIP6, downscaling, general circulation models, geospatial data, shared socio-economic pathways, UN SDG 13: Climate Action, United States, #journal article, Pacific Climate Impacts Consortium (PCIC)
Citation
McKenney, D. W., Pedlar, J. H., Lawrence, K., Sobie, S. R., DeBoer, K., & Brescacin, T. (2025). Spatial datasets of CMIP6 climate change projections for Canada and the United States. Data in Brief, 58, 111246. https://doi.org/10.1016/j.dib.2024.111246