Bias-corrected high-resolution temperature and precipitation projections for Canada

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.

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Publication Details

Journal
Scientific Data
Published
2025-02-01
DOI
https://doi.org/10.1038/s41597-025-04396-z
Citations
7
Primary Topic
Climate variability and models
Type
article
Field-Weighted Citation Impact
8.84

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article

Bias-corrected high-resolution temperature and precipitation projections for Canada

Sofia D. Nerantzaki, Hebatallah Abdelmoaty, Simon Michael Papalexiou, Chandra Rupa Rajulapati
7 citations
Scientific Data
Climate variability and models
8.84
article

Bias-corrected high-resolution temperature and precipitation projections for Canada

Sofia D. Nerantzaki, Hebatallah Abdelmoaty, Simon Michael Papalexiou, Chandra Rupa Rajulapati
article en
7 citations

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.

Scientific DataVol. 12(1)
Cairo University (EG), University of Calgary (CA), Czech University of Life Sciences Prague (CZ), University of Saskatchewan (CA), University of Manitoba (CA)
Global Water Futures
Climate action
Openalex Percentile: Top 2%
Climate variability and models
8.84
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Bias-corrected high-resolution temperature and precipitation projections for Canada — Sofia D. Nerantzaki, Hebatallah Abdelmoaty, et al. · Scientific Data (2025) | TGRS Research Map | TGRS