Comparison of weather station and climate reanalysis data for modelling temperature-related mortality

Bibliographic Details
Main Author: Multi-Country Multi-City (MCC) Collaborative Research Network
Publication Date: 2022
Other Authors: 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
Format: Article
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/10362/149496
Summary: 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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spelling 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:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-10-21T01:36:42Zoai:run.unl.pt:10362/149496Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T17:39:50.428299Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
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
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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
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