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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, Ales; 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; Guo, Yuming; Vicedo-Cabrera, Ana M; Gasparrini, Antonio.
Afiliação
  • Mistry MN; Department of Public Health, Environments and Society, London School of Hygiene & Tropical Medicine, London, UK. malcolm.mistry@lshtm.ac.uk.
  • Schneider R; Department of Economics, Ca' Foscari University of Venice, Venice, Italy. malcolm.mistry@lshtm.ac.uk.
  • Masselot P; Department of Public Health, Environments and Society, London School of Hygiene & Tropical Medicine, London, UK.
  • Royé D; The Centre on Climate Change & Planetary Health, London School of Hygiene & Tropical Medicine, London, UK.
  • Armstrong B; Forecast Department, European Centre for Medium-Range Weather Forecast (ECMWF), Reading, UK.
  • Kyselý J; Ф-Lab, European Space Agency (ESA-ESRIN), Frascati, Italy.
  • Orru H; Department of Public Health, Environments and Society, London School of Hygiene & Tropical Medicine, London, UK.
  • Sera F; Department of Geography, University of Santiago de Compostela, Santiago de Compostela, Spain.
  • Tong S; CIBER de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.
  • Lavigne É; Department of Public Health, Environments and Society, London School of Hygiene & Tropical Medicine, London, UK.
  • Urban A; The Centre on Climate Change & Planetary Health, London School of Hygiene & Tropical Medicine, London, UK.
  • Madureira J; Institute of Atmospheric Physics of the Czech Academy of Sciences, Prague, Czech Republic.
  • García-León D; Faculty of Environmental Sciences, Czech University of Life Sciences, Prague, Czech Republic.
  • Ibarreta D; Department of Family Medicine and Public Health, University of Tartu, Tartu, Estonia.
  • Ciscar JC; Department of Public Health, Environments and Society, London School of Hygiene & Tropical Medicine, London, UK.
  • Feyen L; Department of Statistics, Computer Science and Applications 'G. Parenti', University of Florence, Florence, Italy.
  • de Schrijver E; Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • de Sousa Zanotti Stagliorio Coelho M; School of Public Health, Institute of Environment and Population Health, Anhui Medical University, Hefei, China.
  • Pascal M; School of Public Health and Social Work, Queensland University of Technology, Brisbane, QLD, Australia.
  • Tobias A; Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.
  • Guo Y; School of Epidemiology and Public Health, University of Ottawa, Ottawa, ON, Canada.
  • Vicedo-Cabrera AM; Institute of Atmospheric Physics of the Czech Academy of Sciences, Prague, Czech Republic.
  • Gasparrini A; Faculty of Environmental Sciences, Czech University of Life Sciences, Prague, Czech Republic.
Sci Rep ; 12(1): 5178, 2022 03 25.
Article em En | MEDLINE | ID: mdl-35338191
ABSTRACT
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.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Tempo (Meteorologia) / Clima Tipo de estudo: Prognostic_studies Idioma: En Revista: Sci Rep Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Tempo (Meteorologia) / Clima Tipo de estudo: Prognostic_studies Idioma: En Revista: Sci Rep Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Reino Unido