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: | https://hdl.handle.net/10216/151626 |
Resumo: | 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. © 2022, The Author(s). |
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Comparison of weather station and climate reanalysis data for modelling temperature-related mortalityEpidemiological 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. © 2022, The Author(s).The original version of this Article contained an error in Affiliation 25, which was incorrectly given as ‘Faculty of Medicine ArqFuturo INSPER, University of São Paulo, São Paulo, Brazil’. The correct affiliation is listed below. Faculty of Medicine, University of São Paulo, São Paulo, Brazil The original Article has been corrected. © The Author(s) 2022.Nature Research20222022-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfapplication/pdfhttps://hdl.handle.net/10216/151626eng2045-232210.1038/s41598-022-09049-410.1038/s41598-022-11769-6Mistry, MNSchneider, RMasselot, PRoyé, DArmstrong, BKyselý, JOrru, HSera, FTong, SLavigne, ÉUrban, AMadureira, JGarcía-León, DIbarreta, DCiscar, J-CFeyen, Lde Schrijver, Ede Sousa Zanotti Stagliorio Coelho, MPascal, MTobias, AAlahmad, BAbrutzky, RSaldiva, PHNCorrea, PMOrteg, NVKan, HOsorio, SIndermitte, EJaakkola, JJKRyti, NSchneider, AHuber, VKatsouyanni, KAnalitis, AEntezari, AMayvaneh, FMichelozzi, Pde’Donato, FHashizume, MKim, YDiaz, MHDe la Cruz Valencia, COvercenco, AHouthuijs, DAmeling, CRao, SSeposo, XNunes, BHolobaca, I-HKim, HLee, WÍñiguez, CForsberg, BÅström, CRagettli, MSGuo, Y-LLChen, B-YColistro, VZanobetti, ASchwartz, JDang, TNVan Dung, DGuo, YVicedo-Cabrera, AMGasparrini, Ainfo: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:RCAAP2023-11-29T15:40:54Zoai:repositorio-aberto.up.pt:10216/151626Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T00:29:33.684137Repositório 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 Mistry, MN |
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 |
Mistry, MN |
author_facet |
Mistry, MN Schneider, R Masselot, P Royé, D Armstrong, B Kyselý, J Orru, H Sera, F Tong, S Lavigne, É Urban, A Madureira, J García-León, D Ibarreta, D Ciscar, J-C Feyen, L de Schrijver, E de Sousa Zanotti Stagliorio Coelho, M Pascal, M Tobias, A Alahmad, B Abrutzky, R Saldiva, PHN Correa, PM Orteg, NV Kan, H Osorio, S Indermitte, E Jaakkola, JJK Ryti, N Schneider, A Huber, V Katsouyanni, K Analitis, A Entezari, A Mayvaneh, F Michelozzi, P de’Donato, F Hashizume, M Kim, Y Diaz, MH De la Cruz Valencia, C Overcenco, A Houthuijs, D Ameling, C Rao, S Seposo, X Nunes, B Holobaca, I-H Kim, H Lee, W Íñiguez, C Forsberg, B Åström, C Ragettli, MS Guo, Y-LL Chen, B-Y Colistro, V Zanobetti, A Schwartz, J Dang, TN Van Dung, D Guo, Y Vicedo-Cabrera, AM Gasparrini, A |
author_role |
author |
author2 |
Schneider, R Masselot, P Royé, D Armstrong, B Kyselý, J Orru, H Sera, F Tong, S Lavigne, É Urban, A Madureira, J García-León, D Ibarreta, D Ciscar, J-C Feyen, L de Schrijver, E de Sousa Zanotti Stagliorio Coelho, M Pascal, M Tobias, A Alahmad, B Abrutzky, R Saldiva, PHN Correa, PM Orteg, NV Kan, H Osorio, S Indermitte, E Jaakkola, JJK Ryti, N Schneider, A Huber, V Katsouyanni, K Analitis, A Entezari, A Mayvaneh, F Michelozzi, P de’Donato, F Hashizume, M Kim, Y Diaz, MH De la Cruz Valencia, C Overcenco, A Houthuijs, D Ameling, C Rao, S Seposo, X Nunes, B Holobaca, I-H Kim, H Lee, W Íñiguez, C Forsberg, B Åström, C Ragettli, MS Guo, Y-LL Chen, B-Y Colistro, V Zanobetti, A Schwartz, J Dang, TN Van Dung, D Guo, Y Vicedo-Cabrera, AM Gasparrini, A |
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 author author author author author author author author author author author author author author |
dc.contributor.author.fl_str_mv |
Mistry, MN Schneider, R Masselot, P Royé, D Armstrong, B Kyselý, J Orru, H Sera, F Tong, S Lavigne, É Urban, A Madureira, J García-León, D Ibarreta, D Ciscar, J-C Feyen, L de Schrijver, E de Sousa Zanotti Stagliorio Coelho, M Pascal, M Tobias, A Alahmad, B Abrutzky, R Saldiva, PHN Correa, PM Orteg, NV Kan, H Osorio, S Indermitte, E Jaakkola, JJK Ryti, N Schneider, A Huber, V Katsouyanni, K Analitis, A Entezari, A Mayvaneh, F Michelozzi, P de’Donato, F Hashizume, M Kim, Y Diaz, MH De la Cruz Valencia, C Overcenco, A Houthuijs, D Ameling, C Rao, S Seposo, X Nunes, B Holobaca, I-H Kim, H Lee, W Íñiguez, C Forsberg, B Åström, C Ragettli, MS Guo, Y-LL Chen, B-Y Colistro, V Zanobetti, A Schwartz, J Dang, TN Van Dung, D Guo, Y Vicedo-Cabrera, AM Gasparrini, A |
description |
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. © 2022, The Author(s). |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022 2022-01-01T00:00:00Z |
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 |
https://hdl.handle.net/10216/151626 |
url |
https://hdl.handle.net/10216/151626 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
2045-2322 10.1038/s41598-022-09049-4 10.1038/s41598-022-11769-6 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Nature Research |
publisher.none.fl_str_mv |
Nature Research |
dc.source.none.fl_str_mv |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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repository.mail.fl_str_mv |
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1799136205900611585 |