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 temperaturerelated
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.
MISTRY Malcolm;
SCHNEIDER Rochelle;
MASSELOT Pierre;
ROYÉ Dominique;
ARMSTRONG Ben;
KYSELÝ Jan;
ORRU Hans;
SERA Francesco;
TONG Shilu;
LAVIGNE Eric;
URBAN Aleš;
MADUREIRA Joana;
GARCIA LEON David;
IBARRETA RUIZ Dolores;
CISCAR MARTINEZ Juan Carlos;
FEYEN Luc;
DE SCHRIJVER Evan;
DE SOUSA ZANOTTI STAGLIORIO COELHO Micheline;
PASCAL Mathilde;
TOBIAS Aurelio;
GUO Yuming;
VICEDO-CABRERA Ana;
GASPARRINI Antonio;
2022-09-12
NATURE PORTFOLIO
JRC130509
2045-2322 (online),
https://www.nature.com/articles/s41598-022-09049-4,
https://publications.jrc.ec.europa.eu/repository/handle/JRC130509,
10.1038/s41598-022-09049-4 (online),
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