Bias-corrected high-resolution temperature and precipitation projections for Canada
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41330%2F25%3A106336" target="_blank" >RIV/60460709:41330/25:106336 - isvavai.cz</a>
Výsledek na webu
<a href="https://doi.org/10.1038/s41597-025-04396-z" target="_blank" >https://doi.org/10.1038/s41597-025-04396-z</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1038/s41597-025-04396-z" target="_blank" >10.1038/s41597-025-04396-z</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Bias-corrected high-resolution temperature and precipitation projections for Canada
Popis výsledku v původním jazyce
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 degrees) 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.
Název v anglickém jazyce
Bias-corrected high-resolution temperature and precipitation projections for Canada
Popis výsledku anglicky
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 degrees) 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.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
10501 - Hydrology
Návaznosti výsledku
Projekt
—
Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2025
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Scientific Data
ISSN
2052-4463
e-ISSN
2052-4463
Svazek periodika
12
Číslo periodika v rámci svazku
1
Stát vydavatele periodika
DE - Spolková republika Německo
Počet stran výsledku
17
Strana od-do
—
Kód UT WoS článku
001410620900007
EID výsledku v databázi Scopus
2-s2.0-85217731977