Uncertainty in surface wind speed projections over the Iberian Peninsula: CMIP6 GCMs versus a WRF‐RCM
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| Název: | Uncertainty in surface wind speed projections over the Iberian Peninsula: CMIP6 GCMs versus a WRF‐RCM |
|---|---|
| Autoři: | Miguel Andres Martin, César Azorín-Molina, Cheng Shen, José C. Fernández‐Alvarez, Luis Gimeno, Sergio M. Vicente‐Serrano, Jinlin Zha |
| Přispěvatelé: | Fundación BBVA, Agencia Estatal de Investigación (España), Ministerio de Ciencia, Innovación y Universidades (España), Ministerio de Ciencia e Innovación (España), Universidad de Vigo, Consejo Superior de Investigaciones Científicas (España), National Natural Science Foundation of China, Yunnan Province, Azorín-Molina, César [0000-0001-5913-7026], Vicente Serrano, Sergio M. [0000-0003-2892-518X], Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72] |
| Zdroj: | Digital.CSIC. Repositorio Institucional del CSIC Consejo Superior de Investigaciones Científicas (CSIC) |
| Informace o vydavateli: | Wiley, 2023. |
| Rok vydání: | 2023 |
| Témata: | Atmospheric Science, Atmospheric sciences, Climate Change, GCM versus WRF-RCM, Climate Change and Variability Research, Peninsula, Climate Models, Wind, Precipitation, Coupled model intercomparison project, Oceanography, Climate model, Greenhouse gas, Environmental science, Wind speed, Cinnarizine, Meteorology, Humans, Downscaling, Climate change, Projection, Weather, CMIP6, Surface wind speed, Climatology, Global and Planetary Change, Geography, Uncertainty, Geology, FOS: Earth and related environmental sciences, 15. Life on land, Numerical Weather Prediction Models, Earth and Planetary Sciences, Archaeology, 13. Climate action, Environmental Science, Physical Sciences, Global Methane Emissions and Impacts, Weather Research and Forecasting Model, Iberian Peninsula, Climate Modeling |
| Popis: | This study assessed the projected near‐surface wind speed (SWS) changes and variability over the Iberian Peninsula for the 21st century. Here, we compared Coupled Model Intercomparison Project Phase 6 global climate models (GCMs) with a higher spatial resolution regional climate model (RCM; ∼20 km), known as WRF‐CESM2, which was created by a dynamic downscaling of the Community Earth System Model version 2 (CESM2) using the Weather Research and Forecasting (WRF) model. Our analysis found that the GCMs tended to overestimate observed SWS for 1985–2014, while the higher spatial resolution of the WRF‐CESM2 did not improve the accuracy and underestimated the SWS magnitude. GCMs project a decline of SWS under high shared socioeconomic pathways (SSPs) greenhouse concentrations, such as SSP370 and SSP585, while an interdecadal oscillation appears in SSP126 and SSP245 for the end of the century. The WRF‐CESM2 under SSP585 predicts the opposite increasing SWS. Our results suggest that 21st‐century projections of SWS are uncertain even for regionalized products and should be taken with caution. |
| Druh dokumentu: | Article Other literature type |
| Popis souboru: | application/pdf |
| Jazyk: | English |
| ISSN: | 1749-6632 0077-8923 |
| DOI: | 10.1111/nyas.15063 |
| DOI: | 10.60692/wycnk-yyr78 |
| DOI: | 10.60692/1reh2-ran05 |
| DOI: | 10.13039/501100006761 |
| DOI: | 10.13039/501100004837 |
| DOI: | 10.13039/501100003339 |
| DOI: | 10.13039/100007406 |
| DOI: | 10.13039/501100011033 |
| DOI: | 10.13039/501100001809 |
| Přístupová URL adresa: | https://pubmed.ncbi.nlm.nih.gov/37715781 http://hdl.handle.net/10261/345315 |
| Rights: | CC BY |
| Přístupové číslo: | edsair.doi.dedup.....a0c9f13a4e26d405a36b9a3b51c6607e |
| Databáze: | OpenAIRE |
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| Items | – Name: Title Label: Title Group: Ti Data: Uncertainty in surface wind speed projections over the Iberian Peninsula: CMIP6 GCMs versus a WRF‐RCM – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Miguel+Andres+Martin%22">Miguel Andres Martin</searchLink><br /><searchLink fieldCode="AR" term="%22César+Azorín-Molina%22">César Azorín-Molina</searchLink><br /><searchLink fieldCode="AR" term="%22Cheng+Shen%22">Cheng Shen</searchLink><br /><searchLink fieldCode="AR" term="%22José+C%2E+Fernández‐Alvarez%22">José C. Fernández‐Alvarez</searchLink><br /><searchLink fieldCode="AR" term="%22Luis+Gimeno%22">Luis Gimeno</searchLink><br /><searchLink fieldCode="AR" term="%22Sergio+M%2E+Vicente‐Serrano%22">Sergio M. Vicente‐Serrano</searchLink><br /><searchLink fieldCode="AR" term="%22Jinlin+Zha%22">Jinlin Zha</searchLink> – Name: Author Label: Contributors Group: Au Data: Fundación BBVA<br />Agencia Estatal de Investigación (España)<br />Ministerio de Ciencia, Innovación y Universidades (España)<br />Ministerio de Ciencia e Innovación (España)<br />Universidad de Vigo<br />Consejo Superior de Investigaciones Científicas (España)<br />National Natural Science Foundation of China<br />Yunnan Province<br />Azorín-Molina, César [0000-0001-5913-7026]<br />Vicente Serrano, Sergio M. [0000-0003-2892-518X]<br />Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72] – Name: TitleSource Label: Source Group: Src Data: Digital.CSIC. Repositorio Institucional del CSIC<br />Consejo Superior de Investigaciones Científicas (CSIC) – Name: Publisher Label: Publisher Information Group: PubInfo Data: Wiley, 2023. – Name: DatePubCY Label: Publication Year Group: Date Data: 2023 – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Atmospheric+Science%22">Atmospheric Science</searchLink><br /><searchLink fieldCode="DE" term="%22Atmospheric+sciences%22">Atmospheric sciences</searchLink><br /><searchLink fieldCode="DE" term="%22Climate+Change%22">Climate Change</searchLink><br /><searchLink fieldCode="DE" term="%22GCM+versus+WRF-RCM%22">GCM versus WRF-RCM</searchLink><br /><searchLink fieldCode="DE" term="%22Climate+Change+and+Variability+Research%22">Climate Change and Variability Research</searchLink><br /><searchLink fieldCode="DE" term="%22Peninsula%22">Peninsula</searchLink><br /><searchLink fieldCode="DE" term="%22Climate+Models%22">Climate Models</searchLink><br /><searchLink fieldCode="DE" term="%22Wind%22">Wind</searchLink><br /><searchLink fieldCode="DE" term="%22Precipitation%22">Precipitation</searchLink><br /><searchLink fieldCode="DE" term="%22Coupled+model+intercomparison+project%22">Coupled model intercomparison project</searchLink><br /><searchLink fieldCode="DE" term="%22Oceanography%22">Oceanography</searchLink><br /><searchLink fieldCode="DE" term="%22Climate+model%22">Climate model</searchLink><br /><searchLink fieldCode="DE" term="%22Greenhouse+gas%22">Greenhouse gas</searchLink><br /><searchLink fieldCode="DE" term="%22Environmental+science%22">Environmental science</searchLink><br /><searchLink fieldCode="DE" term="%22Wind+speed%22">Wind speed</searchLink><br /><searchLink fieldCode="DE" term="%22Cinnarizine%22">Cinnarizine</searchLink><br /><searchLink fieldCode="DE" term="%22Meteorology%22">Meteorology</searchLink><br /><searchLink fieldCode="DE" term="%22Humans%22">Humans</searchLink><br /><searchLink fieldCode="DE" term="%22Downscaling%22">Downscaling</searchLink><br /><searchLink fieldCode="DE" term="%22Climate+change%22">Climate change</searchLink><br /><searchLink fieldCode="DE" term="%22Projection%22">Projection</searchLink><br /><searchLink fieldCode="DE" term="%22Weather%22">Weather</searchLink><br /><searchLink fieldCode="DE" term="%22CMIP6%22">CMIP6</searchLink><br /><searchLink fieldCode="DE" term="%22Surface+wind+speed%22">Surface wind speed</searchLink><br /><searchLink fieldCode="DE" term="%22Climatology%22">Climatology</searchLink><br /><searchLink fieldCode="DE" term="%22Global+and+Planetary+Change%22">Global and Planetary Change</searchLink><br /><searchLink fieldCode="DE" term="%22Geography%22">Geography</searchLink><br /><searchLink fieldCode="DE" term="%22Uncertainty%22">Uncertainty</searchLink><br /><searchLink fieldCode="DE" term="%22Geology%22">Geology</searchLink><br /><searchLink fieldCode="DE" term="%22FOS%3A+Earth+and+related+environmental+sciences%22">FOS: Earth and related environmental sciences</searchLink><br /><searchLink fieldCode="DE" term="%2215%2E+Life+on+land%22">15. Life on land</searchLink><br /><searchLink fieldCode="DE" term="%22Numerical+Weather+Prediction+Models%22">Numerical Weather Prediction Models</searchLink><br /><searchLink fieldCode="DE" term="%22Earth+and+Planetary+Sciences%22">Earth and Planetary Sciences</searchLink><br /><searchLink fieldCode="DE" term="%22Archaeology%22">Archaeology</searchLink><br /><searchLink fieldCode="DE" term="%2213%2E+Climate+action%22">13. Climate action</searchLink><br /><searchLink fieldCode="DE" term="%22Environmental+Science%22">Environmental Science</searchLink><br /><searchLink fieldCode="DE" term="%22Physical+Sciences%22">Physical Sciences</searchLink><br /><searchLink fieldCode="DE" term="%22Global+Methane+Emissions+and+Impacts%22">Global Methane Emissions and Impacts</searchLink><br /><searchLink fieldCode="DE" term="%22Weather+Research+and+Forecasting+Model%22">Weather Research and Forecasting Model</searchLink><br /><searchLink fieldCode="DE" term="%22Iberian+Peninsula%22">Iberian Peninsula</searchLink><br /><searchLink fieldCode="DE" term="%22Climate+Modeling%22">Climate Modeling</searchLink> – Name: Abstract Label: Description Group: Ab Data: This study assessed the projected near‐surface wind speed (SWS) changes and variability over the Iberian Peninsula for the 21st century. Here, we compared Coupled Model Intercomparison Project Phase 6 global climate models (GCMs) with a higher spatial resolution regional climate model (RCM; ∼20 km), known as WRF‐CESM2, which was created by a dynamic downscaling of the Community Earth System Model version 2 (CESM2) using the Weather Research and Forecasting (WRF) model. Our analysis found that the GCMs tended to overestimate observed SWS for 1985–2014, while the higher spatial resolution of the WRF‐CESM2 did not improve the accuracy and underestimated the SWS magnitude. GCMs project a decline of SWS under high shared socioeconomic pathways (SSPs) greenhouse concentrations, such as SSP370 and SSP585, while an interdecadal oscillation appears in SSP126 and SSP245 for the end of the century. The WRF‐CESM2 under SSP585 predicts the opposite increasing SWS. Our results suggest that 21st‐century projections of SWS are uncertain even for regionalized products and should be taken with caution. – Name: TypeDocument Label: Document Type Group: TypDoc Data: Article<br />Other literature type – Name: Format Label: File Description Group: SrcInfo Data: application/pdf – Name: Language Label: Language Group: Lang Data: English – Name: ISSN Label: ISSN Group: ISSN Data: 1749-6632<br />0077-8923 – Name: DOI Label: DOI Group: ID Data: 10.1111/nyas.15063 – Name: DOI Label: DOI Group: ID Data: 10.60692/wycnk-yyr78 – Name: DOI Label: DOI Group: ID Data: 10.60692/1reh2-ran05 – Name: DOI Label: DOI Group: ID Data: 10.13039/501100006761 – Name: DOI Label: DOI Group: ID Data: 10.13039/501100004837 – Name: DOI Label: DOI Group: ID Data: 10.13039/501100003339 – Name: DOI Label: DOI Group: ID Data: 10.13039/100007406 – Name: DOI Label: DOI Group: ID Data: 10.13039/501100011033 – Name: DOI Label: DOI Group: ID Data: 10.13039/501100001809 – Name: URL Label: Access URL Group: URL Data: <link linkTarget="URL" linkTerm="https://pubmed.ncbi.nlm.nih.gov/37715781" linkWindow="_blank">https://pubmed.ncbi.nlm.nih.gov/37715781</link><br /><link linkTarget="URL" linkTerm="http://hdl.handle.net/10261/345315" linkWindow="_blank">http://hdl.handle.net/10261/345315</link> – Name: Copyright Label: Rights Group: Cpyrght Data: CC BY – Name: AN Label: Accession Number Group: ID Data: edsair.doi.dedup.....a0c9f13a4e26d405a36b9a3b51c6607e |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1111/nyas.15063 Languages: – Text: English PhysicalDescription: Pagination: PageCount: 8 StartPage: 101 Subjects: – SubjectFull: Atmospheric Science Type: general – SubjectFull: Atmospheric sciences Type: general – SubjectFull: Climate Change Type: general – SubjectFull: GCM versus WRF-RCM Type: general – SubjectFull: Climate Change and Variability Research Type: general – SubjectFull: Peninsula Type: general – SubjectFull: Climate Models Type: general – SubjectFull: Wind Type: general – SubjectFull: Precipitation Type: general – SubjectFull: Coupled model intercomparison project Type: general – SubjectFull: Oceanography Type: general – SubjectFull: Climate model Type: general – SubjectFull: Greenhouse gas Type: general – SubjectFull: Environmental science Type: general – SubjectFull: Wind speed Type: general – SubjectFull: Cinnarizine Type: general – SubjectFull: Meteorology Type: general – SubjectFull: Humans Type: general – SubjectFull: Downscaling Type: general – SubjectFull: Climate change Type: general – SubjectFull: Projection Type: general – SubjectFull: Weather Type: general – SubjectFull: CMIP6 Type: general – SubjectFull: Surface wind speed Type: general – SubjectFull: Climatology Type: general – SubjectFull: Global and Planetary Change Type: general – SubjectFull: Geography Type: general – SubjectFull: Uncertainty Type: general – SubjectFull: Geology Type: general – SubjectFull: FOS: Earth and related environmental sciences Type: general – SubjectFull: 15. Life on land Type: general – SubjectFull: Numerical Weather Prediction Models Type: general – SubjectFull: Earth and Planetary Sciences Type: general – SubjectFull: Archaeology Type: general – SubjectFull: 13. Climate action Type: general – SubjectFull: Environmental Science Type: general – SubjectFull: Physical Sciences Type: general – SubjectFull: Global Methane Emissions and Impacts Type: general – SubjectFull: Weather Research and Forecasting Model Type: general – SubjectFull: Iberian Peninsula Type: general – SubjectFull: Climate Modeling Type: general Titles: – TitleFull: Uncertainty in surface wind speed projections over the Iberian Peninsula: CMIP6 GCMs versus a WRF‐RCM Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Miguel Andres Martin – PersonEntity: Name: NameFull: César Azorín-Molina – PersonEntity: Name: NameFull: Cheng Shen – PersonEntity: Name: NameFull: José C. Fernández‐Alvarez – PersonEntity: Name: NameFull: Luis Gimeno – PersonEntity: Name: NameFull: Sergio M. Vicente‐Serrano – PersonEntity: Name: NameFull: Jinlin Zha – PersonEntity: Name: NameFull: Fundación BBVA – PersonEntity: Name: NameFull: Agencia Estatal de Investigación (España) – PersonEntity: Name: NameFull: Ministerio de Ciencia, Innovación y Universidades (España) – PersonEntity: Name: NameFull: Ministerio de Ciencia e Innovación (España) – PersonEntity: Name: NameFull: Universidad de Vigo – PersonEntity: Name: NameFull: Consejo Superior de Investigaciones Científicas (España) – PersonEntity: Name: NameFull: National Natural Science Foundation of China – PersonEntity: Name: NameFull: Yunnan Province – PersonEntity: Name: NameFull: Azorín-Molina, César [0000-0001-5913-7026] – PersonEntity: Name: NameFull: Vicente Serrano, Sergio M. [0000-0003-2892-518X] – PersonEntity: Name: NameFull: Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72] IsPartOfRelationships: – BibEntity: Dates: – D: 16 M: 09 Type: published Y: 2023 Identifiers: – Type: issn-print Value: 17496632 – Type: issn-print Value: 00778923 – Type: issn-locals Value: edsair – Type: issn-locals Value: edsairFT Numbering: – Type: volume Value: 1529 Titles: – TitleFull: Annals of the New York Academy of Sciences Type: main |
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