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High-resolution future temperature and precipitation dataset for Canada, 2015 - 2100
| Description: | A database of high-resolution (0.1°) precipitation, maximum, and minimum temperature projections extending till 2100 at a daily scale is developed for Canada. We employed a novel Semi-Parametric Quantile Mapping (SPQM) methodology to bias-correct the Coupled Model Intercomparison Project, Phase-6 (CMIP6) projections for four distinct Shared Socio-economic Pathways. SPQM is simple, yet robust, in reproducing the observed marginal properties, trends and variability according to future scenarios, and maintaining a smooth transition from observations to projected simulations. The database encompasses a substantial collection of 759 simulations derived from 37 diverse climate models for precipitation. Similarly, for maximum and minimum temperature projections, our database comprises 652 simulations from 30 climate models. These meticulously curated projections carry immense value for hydrological, environmental, and ecological studies, offering a comprehensive resource for analyses within these domains. Furthermore, these projections serve as a valuable asset for the quantification of uncertainties arising from variant labels, climate models, and future scenarios. |
| Authors: | Rajulapati, Chandra Rupa; University of Manitoba;  0000-0003-3239-8773Abdelmoaty, Hebatallah Mohamed; University of Calgary; 0000-0002-2288-691XNerantzaki, Sofia; University of Saskatchewan Papalexiou, Simon Michael; University of Calgary; 0000-0001-5633-0154 |
| Keywords: | bias correction quantile mapping fine spatiotemporal resolutions CMIP6 simulations |
| Field of Research: | Environmental engineering and related engineering > Environmental engineering > Environmental engineering, not elsewhere classified
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| Publication Date: | 2024-02-08 |
| Publisher: | Federated Research Data Repository / dépôt fédéré de données de recherche |
| Funder: | Global Water Futures Program; Paradigm Shift in Downscaling Climate Model Projections: Building Models and Tools to Advance Climate Change Research in Cold Regions |
| URI: | https://doi.org/10.20383/103.0829 |
| Geographic Coverage: | Country Canada |
| Geolocation Box: | West Longitude -143 East Longitude -50 North Latitude 85 South Latitude 39 |
| Appears in Collections: | Global Water Futures |
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Access to this dataset is subject to the following terms:
Creative Commons Attribution 4.0 International (CC BY 4.0) https://creativecommons.org/licenses/by/4.0/
Citation
Rajulapati, C., Abdelmoaty, H., Nerantzaki, S., Papalexiou, S. (2024). High-resolution future temperature and precipitation dataset for Canada, 2015 - 2100. Federated Research Data Repository. https://doi.org/10.20383/103.0829
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