Spatial datasets of CMIP6 climate change projections for Canada and the United StatesNRCAN Climate Archives
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 o...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-02-01
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| Series: | Data in Brief |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352340924012083 |
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| author | Daniel W. McKenney John H. Pedlar Kevin Lawrence Stephen R. Sobie Kaitlin DeBoer Tiziana Brescacin |
| author_facet | Daniel W. McKenney John H. Pedlar Kevin Lawrence Stephen R. Sobie Kaitlin DeBoer Tiziana Brescacin |
| author_sort | Daniel W. McKenney |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-726b29f631af4c40ab103de432f90795 |
| institution | Kabale University |
| issn | 2352-3409 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Data in Brief |
| spelling | doaj-art-726b29f631af4c40ab103de432f907952025-01-31T05:11:40ZengElsevierData in Brief2352-34092025-02-0158111246Spatial datasets of CMIP6 climate change projections for Canada and the United StatesNRCAN Climate ArchivesDaniel W. McKenney0John H. Pedlar1Kevin Lawrence2Stephen R. Sobie3Kaitlin DeBoer4Tiziana Brescacin5Great Lakes Forestry Centre, Natural Resources Canada, 1219 Queen Street East, Sault Ste Marie, Ontario P6A 2E5, CanadaGreat Lakes Forestry Centre, Natural Resources Canada, 1219 Queen Street East, Sault Ste Marie, Ontario P6A 2E5, Canada; Corresponding author.Great Lakes Forestry Centre, Natural Resources Canada, 1219 Queen Street East, Sault Ste Marie, Ontario P6A 2E5, CanadaPacific Climate Impacts Consortium, University of Victoria, Victoria, British Columbia, CanadaGreat Lakes Forestry Centre, Natural Resources Canada, 1219 Queen Street East, Sault Ste Marie, Ontario P6A 2E5, CanadaGreat Lakes Forestry Centre, Natural Resources Canada, 1219 Queen Street East, Sault Ste Marie, Ontario P6A 2E5, CanadaGeospatial 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.http://www.sciencedirect.com/science/article/pii/S2352340924012083Climate changeGeospatial dataGeneral circulation modelsShared socio-economic pathwaysCMIP6Downscaling |
| spellingShingle | Daniel W. McKenney John H. Pedlar Kevin Lawrence Stephen R. Sobie Kaitlin DeBoer Tiziana Brescacin Spatial datasets of CMIP6 climate change projections for Canada and the United StatesNRCAN Climate Archives Data in Brief Climate change Geospatial data General circulation models Shared socio-economic pathways CMIP6 Downscaling |
| title | Spatial datasets of CMIP6 climate change projections for Canada and the United StatesNRCAN Climate Archives |
| title_full | Spatial datasets of CMIP6 climate change projections for Canada and the United StatesNRCAN Climate Archives |
| title_fullStr | Spatial datasets of CMIP6 climate change projections for Canada and the United StatesNRCAN Climate Archives |
| title_full_unstemmed | Spatial datasets of CMIP6 climate change projections for Canada and the United StatesNRCAN Climate Archives |
| title_short | Spatial datasets of CMIP6 climate change projections for Canada and the United StatesNRCAN Climate Archives |
| title_sort | spatial datasets of cmip6 climate change projections for canada and the united statesnrcan climate archives |
| topic | Climate change Geospatial data General circulation models Shared socio-economic pathways CMIP6 Downscaling |
| url | http://www.sciencedirect.com/science/article/pii/S2352340924012083 |
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