Bias-corrected high-resolution temperature and precipitation projections for Canada
Abstract High-resolution precipitation and temperature projections are indispensable for informed decision-making, risk assessment, and planning. Here, we have developed an extensive database (SPQM-CMIP6-CAN) of high-resolution (0.1°) precipitation and temperature projections extending till 2100 at...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-02-01
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| Series: | Scientific Data |
| Online Access: | https://doi.org/10.1038/s41597-025-04396-z |
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| author | Hebatallah M. Abdelmoaty Chandra Rupa Rajulapati Sofia D. Nerantzaki Simon Michael Papalexiou |
| author_facet | Hebatallah M. Abdelmoaty Chandra Rupa Rajulapati Sofia D. Nerantzaki Simon Michael Papalexiou |
| author_sort | Hebatallah M. Abdelmoaty |
| collection | DOAJ |
| description | Abstract High-resolution precipitation and temperature projections are indispensable for informed decision-making, risk assessment, and planning. Here, we have developed an extensive database (SPQM-CMIP6-CAN) of high-resolution (0.1°) precipitation and temperature projections extending till 2100 at a daily scale 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 Shared Socio-economic Pathways. SPQM is simple, yet robust, in reproducing the observed marginal properties, trends, and variability according to future scenarios, while maintaining a smooth transition from observations to projected simulations. The SPQM-CMIP6-CAN database encompasses 693 simulations derived from 34 diverse climate models for precipitation. Similarly, for temperature projections, our database comprises 581 simulations from 27 climate models. These projections are valuable for hydrological, environmental, and ecological studies, offering a comprehensive resource for analyses within these domains. Furthermore, these projections serve as a vital tool for the quantification of uncertainties arising from climate models, their variant configurations, and future scenarios. |
| format | Article |
| id | doaj-art-31cb4a8497bf4fb89dc3a5d24d961fac |
| institution | Kabale University |
| issn | 2052-4463 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Data |
| spelling | doaj-art-31cb4a8497bf4fb89dc3a5d24d961fac2025-02-02T12:08:06ZengNature PortfolioScientific Data2052-44632025-02-0112111710.1038/s41597-025-04396-zBias-corrected high-resolution temperature and precipitation projections for CanadaHebatallah M. Abdelmoaty0Chandra Rupa Rajulapati1Sofia D. Nerantzaki2Simon Michael Papalexiou3Department of Civil Engineering, Schulich School of Engineering, University of CalgaryDepartment of Civil Engineering, University of ManitobaDepartment of Civil, Geological and Environmental Engineering, University of SaskatchewanDepartment of Civil Engineering, Schulich School of Engineering, University of CalgaryAbstract High-resolution precipitation and temperature projections are indispensable for informed decision-making, risk assessment, and planning. Here, we have developed an extensive database (SPQM-CMIP6-CAN) of high-resolution (0.1°) precipitation and temperature projections extending till 2100 at a daily scale 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 Shared Socio-economic Pathways. SPQM is simple, yet robust, in reproducing the observed marginal properties, trends, and variability according to future scenarios, while maintaining a smooth transition from observations to projected simulations. The SPQM-CMIP6-CAN database encompasses 693 simulations derived from 34 diverse climate models for precipitation. Similarly, for temperature projections, our database comprises 581 simulations from 27 climate models. These projections are valuable for hydrological, environmental, and ecological studies, offering a comprehensive resource for analyses within these domains. Furthermore, these projections serve as a vital tool for the quantification of uncertainties arising from climate models, their variant configurations, and future scenarios.https://doi.org/10.1038/s41597-025-04396-z |
| spellingShingle | Hebatallah M. Abdelmoaty Chandra Rupa Rajulapati Sofia D. Nerantzaki Simon Michael Papalexiou Bias-corrected high-resolution temperature and precipitation projections for Canada Scientific Data |
| title | Bias-corrected high-resolution temperature and precipitation projections for Canada |
| title_full | Bias-corrected high-resolution temperature and precipitation projections for Canada |
| title_fullStr | Bias-corrected high-resolution temperature and precipitation projections for Canada |
| title_full_unstemmed | Bias-corrected high-resolution temperature and precipitation projections for Canada |
| title_short | Bias-corrected high-resolution temperature and precipitation projections for Canada |
| title_sort | bias corrected high resolution temperature and precipitation projections for canada |
| url | https://doi.org/10.1038/s41597-025-04396-z |
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