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A high-spatial-resolution dataset of human thermal stress indices over South and East Asia
Thermal stress poses a major public health threat in a warming world, especially to disadvantaged communities. At the population group level, human thermal stress is heavily affected by landscape heterogeneities such as terrain, surface water, and vegetation. High-spatial-resolution thermal-stress i...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8410920/ https://www.ncbi.nlm.nih.gov/pubmed/34471140 http://dx.doi.org/10.1038/s41597-021-01010-w |
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author | Yan, Yechao Xu, Yangyang Yue, Shuping |
author_facet | Yan, Yechao Xu, Yangyang Yue, Shuping |
author_sort | Yan, Yechao |
collection | PubMed |
description | Thermal stress poses a major public health threat in a warming world, especially to disadvantaged communities. At the population group level, human thermal stress is heavily affected by landscape heterogeneities such as terrain, surface water, and vegetation. High-spatial-resolution thermal-stress indices, containing more detailed spatial information, are greatly needed to characterize the spatial pattern of thermal stress to enable a better understanding of its impacts on public health, tourism, and study and work performance. Here, we present a 0.1° × 0.1° gridded dataset of multiple thermal stress indices derived from the newly available ECMWF ERA5-Land and ERA5 reanalysis products over South and East Asia from 1981 to 2019. This high-spatial-resolution database of human thermal stress indices over South and East Asia (HiTiSEA), which contains the daily mean, maximum, and minimum values of UTCI, MRT, and eight other widely adopted indices, is suitable for both indoor and outdoor applications and allows researchers and practitioners to investigate the spatial and temporal evolution of human thermal stress and its impacts on densely populated regions over South and East Asia at a finer scale. |
format | Online Article Text |
id | pubmed-8410920 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-84109202021-09-22 A high-spatial-resolution dataset of human thermal stress indices over South and East Asia Yan, Yechao Xu, Yangyang Yue, Shuping Sci Data Data Descriptor Thermal stress poses a major public health threat in a warming world, especially to disadvantaged communities. At the population group level, human thermal stress is heavily affected by landscape heterogeneities such as terrain, surface water, and vegetation. High-spatial-resolution thermal-stress indices, containing more detailed spatial information, are greatly needed to characterize the spatial pattern of thermal stress to enable a better understanding of its impacts on public health, tourism, and study and work performance. Here, we present a 0.1° × 0.1° gridded dataset of multiple thermal stress indices derived from the newly available ECMWF ERA5-Land and ERA5 reanalysis products over South and East Asia from 1981 to 2019. This high-spatial-resolution database of human thermal stress indices over South and East Asia (HiTiSEA), which contains the daily mean, maximum, and minimum values of UTCI, MRT, and eight other widely adopted indices, is suitable for both indoor and outdoor applications and allows researchers and practitioners to investigate the spatial and temporal evolution of human thermal stress and its impacts on densely populated regions over South and East Asia at a finer scale. Nature Publishing Group UK 2021-09-01 /pmc/articles/PMC8410920/ /pubmed/34471140 http://dx.doi.org/10.1038/s41597-021-01010-w Text en © The Author(s) 2021 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) applies to the metadata files associated with this article. |
spellingShingle | Data Descriptor Yan, Yechao Xu, Yangyang Yue, Shuping A high-spatial-resolution dataset of human thermal stress indices over South and East Asia |
title | A high-spatial-resolution dataset of human thermal stress indices over South and East Asia |
title_full | A high-spatial-resolution dataset of human thermal stress indices over South and East Asia |
title_fullStr | A high-spatial-resolution dataset of human thermal stress indices over South and East Asia |
title_full_unstemmed | A high-spatial-resolution dataset of human thermal stress indices over South and East Asia |
title_short | A high-spatial-resolution dataset of human thermal stress indices over South and East Asia |
title_sort | high-spatial-resolution dataset of human thermal stress indices over south and east asia |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8410920/ https://www.ncbi.nlm.nih.gov/pubmed/34471140 http://dx.doi.org/10.1038/s41597-021-01010-w |
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