Validation and Selection of a Representative Subset from the Ensemble of EURO-CORDEX EUR11 Regional Climate Model Outputs for the Czech Republic
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68378289%3A_____%2F23%3A00575969" target="_blank" >RIV/68378289:_____/23:00575969 - isvavai.cz</a>
Nalezeny alternativní kódy
RIV/86652079:_____/23:00577423 RIV/62156489:43210/23:43924082 RIV/00020699:_____/23:N0000067
Výsledek na webu
<a href="https://www.mdpi.com/2073-4433/14/9/1442" target="_blank" >https://www.mdpi.com/2073-4433/14/9/1442</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/atmos14091442" target="_blank" >10.3390/atmos14091442</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Validation and Selection of a Representative Subset from the Ensemble of EURO-CORDEX EUR11 Regional Climate Model Outputs for the Czech Republic
Popis výsledku v původním jazyce
To better understand the impact of climate change at a given location, it is crucial to consider a wide range of climate models that are representative of the area. In this study, we emphasize the importance of the careful validation and selection of climate models most suitable for a particular region. This step is critical to enhance the relevance of climate change impact studies and consequently design appropriate and robust adaptation measures, particularly in agriculture, forestry and water resources management. We propose validation and selection methods for regional climate models that can help identify a smaller group of well-performing models using the Central European area and Czech Republic as examples. In the validation process, 7 out of 19 regional climate models performed poorly. Of the 12 well-performing models, a subset of 7 models was selected to represent the uncertainty in the entire ensemble, which could be used in subsequent studies. The methodology is sufficiently general and may be applied to other climate model ensembles.
Název v anglickém jazyce
Validation and Selection of a Representative Subset from the Ensemble of EURO-CORDEX EUR11 Regional Climate Model Outputs for the Czech Republic
Popis výsledku anglicky
To better understand the impact of climate change at a given location, it is crucial to consider a wide range of climate models that are representative of the area. In this study, we emphasize the importance of the careful validation and selection of climate models most suitable for a particular region. This step is critical to enhance the relevance of climate change impact studies and consequently design appropriate and robust adaptation measures, particularly in agriculture, forestry and water resources management. We propose validation and selection methods for regional climate models that can help identify a smaller group of well-performing models using the Central European area and Czech Republic as examples. In the validation process, 7 out of 19 regional climate models performed poorly. Of the 12 well-performing models, a subset of 7 models was selected to represent the uncertainty in the entire ensemble, which could be used in subsequent studies. The methodology is sufficiently general and may be applied to other climate model ensembles.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
10509 - Meteorology and atmospheric sciences
Návaznosti výsledku
Projekt
Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.
Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2023
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Atmosphere
ISSN
2073-4433
e-ISSN
2073-4433
Svazek periodika
14
Číslo periodika v rámci svazku
9
Stát vydavatele periodika
CH - Švýcarská konfederace
Počet stran výsledku
18
Strana od-do
1442
Kód UT WoS článku
001076575500001
EID výsledku v databázi Scopus
2-s2.0-85172877475