TY - JOUR
T1 - Comparison of weather station and climate reanalysis data for modelling temperature-related mortality
AU - Multi-Country Multi-City (MCC) Collaborative Research Network
AU - Mistry, Malcolm N.
AU - Schneider, Rochelle
AU - Masselot, Pierre
AU - Royé, Dominic
AU - Armstrong, Ben
AU - Kyselý, Jan
AU - Orru, Hans
AU - Sera, Francesco
AU - Tong, Shilu
AU - Lavigne, Éric
AU - Urban, Aleš
AU - Madureira, Joana
AU - García-León, David
AU - Ibarreta, Dolores
AU - Ciscar, Juan Carlos
AU - Feyen, Luc
AU - de Schrijver, Evan
AU - de Sousa Zanotti Stagliorio Coelho, Micheline
AU - Pascal, Mathilde
AU - Tobias, Aurelio
AU - Alahmad, Barrak
AU - Abrutzky, Rosana
AU - Saldiva, Paulo Hilario Nascimento
AU - Correa, Patricia Matus
AU - Orteg, Nicolás Valdés
AU - Kan, Haidong
AU - Osorio, Samuel
AU - Indermitte, Ene
AU - Jaakkola, Jouni J.K.
AU - Ryti, Niilo
AU - Schneider, Alexandra
AU - Huber, Veronika
AU - Katsouyanni, Klea
AU - Analitis, Antonis
AU - Entezari, Alireza
AU - Mayvaneh, Fatemeh
AU - Michelozzi, Paola
AU - de’Donato, Francesca
AU - Hashizume, Masahiro
AU - Kim, Yoonhee
AU - Diaz, Magali Hurtado
AU - De la Cruz Valencia, César
AU - Overcenco, Ala
AU - Houthuijs, Danny
AU - Ameling, Caroline
AU - Rao, Shilpa
AU - Seposo, Xerxes
AU - Nunes, Baltazar
AU - Holobaca, Iulian Horia
AU - Kim, Ho
N1 - 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).
PY - 2022/12
Y1 - 2022/12
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85127070887&partnerID=8YFLogxK
U2 - 10.1038/s41598-022-09049-4
DO - 10.1038/s41598-022-09049-4
M3 - Article
C2 - 35338191
AN - SCOPUS:85127070887
SN - 2045-2322
VL - 12
JO - Scientific Reports
JF - Scientific Reports
IS - 1
M1 - 5178
ER -