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

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; ... (2022). Comparison of weather station and climate reanalysis data for modelling temperature-related mortality. Scientific reports, 12(1), p. 5178. Springer Nature 10.1038/s41598-022-09049-4

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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.

Item Type:

Journal Article (Original Article)

Division/Institute:

04 Faculty of Medicine > Pre-clinic Human Medicine > Institute of Social and Preventive Medicine (ISPM)
10 Strategic Research Centers > Oeschger Centre for Climate Change Research (OCCR)

Graduate School:

Graduate School for Health Sciences (GHS)

UniBE Contributor:

de Schrijver, Evan, Vicedo Cabrera, Ana Maria

Subjects:

600 Technology > 610 Medicine & health
300 Social sciences, sociology & anthropology > 360 Social problems & social services

ISSN:

2045-2322

Publisher:

Springer Nature

Language:

English

Submitter:

Pubmed Import

Date Deposited:

28 Mar 2022 08:24

Last Modified:

05 Dec 2022 16:17

Publisher DOI:

10.1038/s41598-022-09049-4

Related URLs:

PubMed ID:

35338191

BORIS DOI:

10.48350/168180

URI:

https://boris.unibe.ch/id/eprint/168180

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