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Comparison of weather station and climate reanalysis data for modelling temperature-related mortality
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 c...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8956721/ https://www.ncbi.nlm.nih.gov/pubmed/35338191 http://dx.doi.org/10.1038/s41598-022-09049-4 |
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author | 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 Guo, Yuming Vicedo-Cabrera, Ana M. Gasparrini, Antonio |
author_facet | 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 Guo, Yuming Vicedo-Cabrera, Ana M. Gasparrini, Antonio |
author_sort | Mistry, Malcolm N. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8956721 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-89567212022-03-28 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 Guo, Yuming Vicedo-Cabrera, Ana M. Gasparrini, Antonio Sci Rep Article 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. Nature Publishing Group UK 2022-03-25 /pmc/articles/PMC8956721/ /pubmed/35338191 http://dx.doi.org/10.1038/s41598-022-09049-4 Text en © The Author(s) 2022, corrected publication 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article 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 Guo, Yuming Vicedo-Cabrera, Ana M. Gasparrini, Antonio Comparison of weather station and climate reanalysis data for modelling temperature-related mortality |
title | Comparison of weather station and climate reanalysis data for modelling temperature-related mortality |
title_full | Comparison of weather station and climate reanalysis data for modelling temperature-related mortality |
title_fullStr | Comparison of weather station and climate reanalysis data for modelling temperature-related mortality |
title_full_unstemmed | Comparison of weather station and climate reanalysis data for modelling temperature-related mortality |
title_short | Comparison of weather station and climate reanalysis data for modelling temperature-related mortality |
title_sort | comparison of weather station and climate reanalysis data for modelling temperature-related mortality |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8956721/ https://www.ncbi.nlm.nih.gov/pubmed/35338191 http://dx.doi.org/10.1038/s41598-022-09049-4 |
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