Evaluation of the ERA5 reanalysis-based Universal Thermal Climate Index on mortality data in Europe.

Cold ERA5 ERA5-HEAT Heat Reanalysis Thermal stress UTCI

Journal

Environmental research
ISSN: 1096-0953
Titre abrégé: Environ Res
Pays: Netherlands
ID NLM: 0147621

Informations de publication

Date de publication:
07 2021
Historique:
received: 28 09 2020
revised: 03 04 2021
accepted: 23 04 2021
pubmed: 12 5 2021
medline: 4 6 2021
entrez: 11 5 2021
Statut: ppublish

Résumé

Air temperature has been the most commonly used exposure metric in assessing relationships between thermal stress and mortality. Lack of the high-quality meteorological station data necessary to adequately characterize the thermal environment has been one of the main limitations for the use of more complex thermal indices. Global climate reanalyses may provide an ideal platform to overcome this limitation and define complex heat and cold stress conditions anywhere in the world. In this study, we explored the potential of the Universal Thermal Climate Index (UTCI) based on ERA5 - the latest global climate reanalysis from the European Centre for Medium-Range Weather Forecasts (ECMWF) - as a health-related tool. Employing a novel ERA5-based thermal comfort dataset ERA5-HEAT, we investigated the relationships between the UTCI and daily mortality data in 21 cities across 9 European countries. We used distributed lag nonlinear models to assess exposure-response relationships between mortality and thermal conditions in individual cities. We then employed meta-regression models to pool the results for each city into four groups according to climate zone. To evaluate the performance of ERA5-based UTCI, we compared its effects on mortality with those for the station-based UTCI data. In order to assess the additional effect of the UTCI, the performance of ERA5-and station-based air temperature (T) was evaluated. Whilst generally similar heat- and cold-effects were observed for the ERA5-and station-based data in most locations, the important role of wind in the UTCI appeared in the results. The largest difference between any two datasets was found in the Southern European group of cities, where the relative risk of mortality at the 1st percentile of daily mean temperature distribution (1.29 and 1.30 according to the ERA5 vs station data, respectively) considerably exceeded the one for the daily mean UTCI (1.19 vs 1.22). These differences were mainly due to the effect of wind in the cold tail of the UTCI distribution. The comparison of exposure-response relationships between ERA5-and station-based data shows that ERA5-based UTCI may be a useful tool for definition of life-threatening thermal conditions in locations where high-quality station data are not available.

Identifiants

pubmed: 33974842
pii: S0013-9351(21)00521-1
doi: 10.1016/j.envres.2021.111227
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

111227

Subventions

Organisme : Medical Research Council
ID : MR/R013349/1
Pays : United Kingdom

Informations de copyright

Copyright © 2021 The Author(s). Published by Elsevier Inc. All rights reserved.

Auteurs

Aleš Urban (A)

Institute of Atmospheric Physics of the Czech Academy of Sciences, Prague, Czech Republic; Faculty of Environmental Sciences, Czech University of Life Sciences, Prague, Czech Republic. Electronic address: urban@ufa.cas.cz.

Claudia Di Napoli (C)

School of Agriculture, Policy and Development, University of Reading, Reading, United Kingdom; Forecast Department, European Centre for Medium-Range Weather Forecasts, Reading, United Kingdom. Electronic address: c.dinapoli@reading.ac.uk.

Hannah L Cloke (HL)

Department of Geography and Environmental Science, University of Reading, Reading, United Kingdom; Department of Meteorology, University of Reading, Reading, United Kingdom; Department of Earth Sciences, Uppsala University, Sweden; Centre of Natural Hazards and Disaster Science, Uppsala, Sweden.

Jan Kyselý (J)

Institute of Atmospheric Physics of the Czech Academy of Sciences, Prague, Czech Republic; Faculty of Environmental Sciences, Czech University of Life Sciences, Prague, Czech Republic; Global Change Research Institute of the Czech Academy of Sciences, Brno, Czech Republic.

Florian Pappenberger (F)

Forecast Department, European Centre for Medium-Range Weather Forecasts, Reading, United Kingdom.

Francesco Sera (F)

Department of Public Health, Environments and Society, London School of Hygiene & Tropical Medicine, London, United Kingdom.

Rochelle Schneider (R)

Forecast Department, European Centre for Medium-Range Weather Forecasts, Reading, United Kingdom; Department of Public Health, Environments and Society, London School of Hygiene & Tropical Medicine, London, United Kingdom; Ф-Lab, European Space Agency (ESA-ESRIN), Frascati, Italy; The Centre on Climate Change and Planetary Health, London School of Hygiene & Tropical Medicine, London, United Kingdom.

Ana M Vicedo-Cabrera (AM)

Department of Public Health, Environments and Society, London School of Hygiene & Tropical Medicine, London, United Kingdom; Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland; Oeschger Center for Climate Change Research, University of Bern, Bern, Switzerland.

Fiorella Acquaotta (F)

Department of Earth Sciences, University of Turin, Turin, Italy.

Martina S Ragettli (MS)

Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland.

Carmen Íñiguez (C)

Department of Statistics and Computational Research, Universitat de València, València, Spain.

Aurelio Tobias (A)

Institute of Environmental Assessment and Water Research, Spanish Council for Scientific Research, Barcelona, Spain; School of Tropical Medicine and Global Health, Nagasaki University, Nagasaki, Japan.

Ene Indermitte (E)

Institute of Family Medicine and Public Health, University of Tartu, Tartu, Estonia.

Hans Orru (H)

Institute of Family Medicine and Public Health, University of Tartu, Tartu, Estonia.

Jouni J K Jaakkola (JJK)

Finnish Meteorological Institute, Helsinki, Finland; Center for Environmental and Respiratory Health Research (CERH), University of Oulu, Oulu, Finland; Medical Research Center Oulu (MRC Oulu), Oulu University Hospital and University of Oulu, Oulu, Finland; Biocenter Oulu, University of Oulu, Oulu, Finland.

Niilo R I Ryti (NRI)

Center for Environmental and Respiratory Health Research (CERH), University of Oulu, Oulu, Finland; Medical Research Center Oulu (MRC Oulu), Oulu University Hospital and University of Oulu, Oulu, Finland; Biocenter Oulu, University of Oulu, Oulu, Finland.

Mathilde Pascal (M)

Santé Publique France, Department of Environmental Health, French National Public Health Agency, Saint Maurice, France.

Veronika Huber (V)

Potsdam Institute for Climate Impact Research, Potsdam, Germany; Department of Physical, Chemical and Natural Systems, Universidad Pablo de Olavide, Sevilla, Spain.

Alexandra Schneider (A)

Institute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health (GmbH), Neuherberg, Germany.

Francesca De' Donato (F)

Department of Epidemiology, Lazio Regional Health Service ASL Roma 1, Rome, Italy.

Paola Michelozzi (P)

Department of Epidemiology, Lazio Regional Health Service ASL Roma 1, Rome, Italy.

Antonio Gasparrini (A)

Department of Public Health, Environments and Society, London School of Hygiene & Tropical Medicine, London, United Kingdom; The Centre on Climate Change and Planetary Health, London School of Hygiene & Tropical Medicine, London, United Kingdom; Centre for Statistical Methodology, London School of Hygiene & Tropical Medicine, London, United Kingdom.

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