Comparison of weather station and climate reanalysis data for modelling temperature-related mortality
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10362/149496 |
Resumo: | Funding Information: The study was primarily supported by Grants from the European Commission’s Joint Research Centre Seville (Research Contract ID: JRC/SVQ/2020/MVP/1654), Medical Research Council-UK (Grant ID: MR/R013349/1), Natural Environment Research Council UK (Grant ID: NE/R009384/1), European Union’s Horizon 2020 Project Exhaustion (Grant ID: 820655). The following individual Grants also supported this work: J.K and A.U were supported by the Czech Science Foundation, project 20-28560S. A.T was supported by MCIN/AEI/10.13039/501100011033, Grant CEX2018-000794-S. V.H was supported by the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie Grant agreement No 101032087. This work was generated using Copernicus Climate Change Service (C3S) information [1985–2019]. Publisher Copyright: © 2022, The Author(s). |
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Comparison of weather station and climate reanalysis data for modelling temperature-related mortalityGeneralSDG 3 - Good Health and Well-beingFunding Information: The study was primarily supported by Grants from the European Commission’s Joint Research Centre Seville (Research Contract ID: JRC/SVQ/2020/MVP/1654), Medical Research Council-UK (Grant ID: MR/R013349/1), Natural Environment Research Council UK (Grant ID: NE/R009384/1), European Union’s Horizon 2020 Project Exhaustion (Grant ID: 820655). The following individual Grants also supported this work: J.K and A.U were supported by the Czech Science Foundation, project 20-28560S. A.T was supported by MCIN/AEI/10.13039/501100011033, Grant CEX2018-000794-S. V.H was supported by the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie Grant agreement No 101032087. This work was generated using Copernicus Climate Change Service (C3S) information [1985–2019]. Publisher Copyright: © 2022, The Author(s).Epidemiological analyses of health risks associated with non-optimal temperature are traditionally based on ground observations from weather stations that offer limited spatial and temporal coverage. Climate reanalysis represents an alternative option that provide complete spatio-temporal exposure coverage, and yet are to be systematically explored for their suitability in assessing temperature-related health risks at a global scale. Here we provide the first comprehensive analysis over multiple regions to assess the suitability of the most recent generation of reanalysis datasets for health impact assessments and evaluate their comparative performance against traditional station-based data. Our findings show that reanalysis temperature from the last ERA5 products generally compare well to station observations, with similar non-optimal temperature-related risk estimates. However, the analysis offers some indication of lower performance in tropical regions, with a likely underestimation of heat-related excess mortality. Reanalysis data represent a valid alternative source of exposure variables in epidemiological analyses of temperature-related risk.Centro de Investigação em Saúde Pública (CISP/PHRC)Escola Nacional de Saúde Pública (ENSP)RUNMulti-Country Multi-City (MCC) Collaborative Research NetworkMistry, Malcolm N.Schneider, RochelleMasselot, PierreRoyé, DominicArmstrong, BenKyselý, JanOrru, HansSera, FrancescoTong, ShiluLavigne, ÉricUrban, AlešMadureira, JoanaGarcía-León, DavidIbarreta, DoloresCiscar, Juan CarlosFeyen, Lucde Schrijver, Evande Sousa Zanotti Stagliorio Coelho, MichelinePascal, MathildeTobias, AurelioAlahmad, BarrakAbrutzky, RosanaSaldiva, Paulo Hilario NascimentoCorrea, Patricia MatusOrteg, Nicolás ValdésKan, HaidongOsorio, SamuelIndermitte, EneJaakkola, Jouni J.K.Ryti, NiiloSchneider, AlexandraHuber, VeronikaKatsouyanni, KleaAnalitis, AntonisEntezari, AlirezaMayvaneh, FatemehMichelozzi, Paolade’Donato, FrancescaHashizume, MasahiroKim, YoonheeDiaz, Magali HurtadoDe la Cruz Valencia, CésarOvercenco, AlaHouthuijs, DannyAmeling, CarolineRao, ShilpaSeposo, XerxesNunes, BaltazarHolobaca, Iulian HoriaKim, Ho2023-02-20T22:20:44Z2022-122022-12-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10362/149496eng2045-2322PURE: 53867831https://doi.org/10.1038/s41598-022-09049-4info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-10-21T01:36:42Zoai:run.unl.pt:10362/149496Portal AgregadorONGhttps://www.rcaap.pt/oai/openairemluisa.alvim@gmail.comopendoar:71602024-10-21T01:36:42Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Comparison of weather station and climate reanalysis data for modelling temperature-related mortality |
title |
Comparison of weather station and climate reanalysis data for modelling temperature-related mortality |
spellingShingle |
Comparison of weather station and climate reanalysis data for modelling temperature-related mortality Multi-Country Multi-City (MCC) Collaborative Research Network General SDG 3 - Good Health and Well-being |
title_short |
Comparison of weather station and climate reanalysis data for modelling temperature-related mortality |
title_full |
Comparison of weather station and climate reanalysis data for modelling temperature-related mortality |
title_fullStr |
Comparison of weather station and climate reanalysis data for modelling temperature-related mortality |
title_full_unstemmed |
Comparison of weather station and climate reanalysis data for modelling temperature-related mortality |
title_sort |
Comparison of weather station and climate reanalysis data for modelling temperature-related mortality |
author |
Multi-Country Multi-City (MCC) Collaborative Research Network |
author_facet |
Multi-Country Multi-City (MCC) Collaborative Research Network Mistry, Malcolm N. Schneider, Rochelle Masselot, Pierre Royé, Dominic Armstrong, Ben Kyselý, Jan Orru, Hans Sera, Francesco Tong, Shilu Lavigne, Éric Urban, Aleš Madureira, Joana García-León, David Ibarreta, Dolores Ciscar, Juan Carlos Feyen, Luc de Schrijver, Evan de Sousa Zanotti Stagliorio Coelho, Micheline Pascal, Mathilde Tobias, Aurelio Alahmad, Barrak Abrutzky, Rosana Saldiva, Paulo Hilario Nascimento Correa, Patricia Matus Orteg, Nicolás Valdés Kan, Haidong Osorio, Samuel Indermitte, Ene Jaakkola, Jouni J.K. Ryti, Niilo Schneider, Alexandra Huber, Veronika Katsouyanni, Klea Analitis, Antonis Entezari, Alireza Mayvaneh, Fatemeh Michelozzi, Paola de’Donato, Francesca Hashizume, Masahiro Kim, Yoonhee Diaz, Magali Hurtado De la Cruz Valencia, César Overcenco, Ala Houthuijs, Danny Ameling, Caroline Rao, Shilpa Seposo, Xerxes Nunes, Baltazar Holobaca, Iulian Horia Kim, Ho |
author_role |
author |
author2 |
Mistry, Malcolm N. Schneider, Rochelle Masselot, Pierre Royé, Dominic Armstrong, Ben Kyselý, Jan Orru, Hans Sera, Francesco Tong, Shilu Lavigne, Éric Urban, Aleš Madureira, Joana García-León, David Ibarreta, Dolores Ciscar, Juan Carlos Feyen, Luc de Schrijver, Evan de Sousa Zanotti Stagliorio Coelho, Micheline Pascal, Mathilde Tobias, Aurelio Alahmad, Barrak Abrutzky, Rosana Saldiva, Paulo Hilario Nascimento Correa, Patricia Matus Orteg, Nicolás Valdés Kan, Haidong Osorio, Samuel Indermitte, Ene Jaakkola, Jouni J.K. Ryti, Niilo Schneider, Alexandra Huber, Veronika Katsouyanni, Klea Analitis, Antonis Entezari, Alireza Mayvaneh, Fatemeh Michelozzi, Paola de’Donato, Francesca Hashizume, Masahiro Kim, Yoonhee Diaz, Magali Hurtado De la Cruz Valencia, César Overcenco, Ala Houthuijs, Danny Ameling, Caroline Rao, Shilpa Seposo, Xerxes Nunes, Baltazar Holobaca, Iulian Horia Kim, Ho |
author2_role |
author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author |
dc.contributor.none.fl_str_mv |
Centro de Investigação em Saúde Pública (CISP/PHRC) Escola Nacional de Saúde Pública (ENSP) RUN |
dc.contributor.author.fl_str_mv |
Multi-Country Multi-City (MCC) Collaborative Research Network Mistry, Malcolm N. Schneider, Rochelle Masselot, Pierre Royé, Dominic Armstrong, Ben Kyselý, Jan Orru, Hans Sera, Francesco Tong, Shilu Lavigne, Éric Urban, Aleš Madureira, Joana García-León, David Ibarreta, Dolores Ciscar, Juan Carlos Feyen, Luc de Schrijver, Evan de Sousa Zanotti Stagliorio Coelho, Micheline Pascal, Mathilde Tobias, Aurelio Alahmad, Barrak Abrutzky, Rosana Saldiva, Paulo Hilario Nascimento Correa, Patricia Matus Orteg, Nicolás Valdés Kan, Haidong Osorio, Samuel Indermitte, Ene Jaakkola, Jouni J.K. Ryti, Niilo Schneider, Alexandra Huber, Veronika Katsouyanni, Klea Analitis, Antonis Entezari, Alireza Mayvaneh, Fatemeh Michelozzi, Paola de’Donato, Francesca Hashizume, Masahiro Kim, Yoonhee Diaz, Magali Hurtado De la Cruz Valencia, César Overcenco, Ala Houthuijs, Danny Ameling, Caroline Rao, Shilpa Seposo, Xerxes Nunes, Baltazar Holobaca, Iulian Horia Kim, Ho |
dc.subject.por.fl_str_mv |
General SDG 3 - Good Health and Well-being |
topic |
General SDG 3 - Good Health and Well-being |
description |
Funding Information: The study was primarily supported by Grants from the European Commission’s Joint Research Centre Seville (Research Contract ID: JRC/SVQ/2020/MVP/1654), Medical Research Council-UK (Grant ID: MR/R013349/1), Natural Environment Research Council UK (Grant ID: NE/R009384/1), European Union’s Horizon 2020 Project Exhaustion (Grant ID: 820655). The following individual Grants also supported this work: J.K and A.U were supported by the Czech Science Foundation, project 20-28560S. A.T was supported by MCIN/AEI/10.13039/501100011033, Grant CEX2018-000794-S. V.H was supported by the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie Grant agreement No 101032087. This work was generated using Copernicus Climate Change Service (C3S) information [1985–2019]. Publisher Copyright: © 2022, The Author(s). |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-12 2022-12-01T00:00:00Z 2023-02-20T22:20:44Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10362/149496 |
url |
http://hdl.handle.net/10362/149496 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
2045-2322 PURE: 53867831 https://doi.org/10.1038/s41598-022-09049-4 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
mluisa.alvim@gmail.com |
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