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Mild weather changes over China during 1971–2014: Climatology, trends, and interannual variability
While previous studies largely focus on extreme events, little is known about the behaviors of mild weather, a positive and pleasant condition occurring frequently, directly associated with outdoor activities, and highly relatable to the public. Here we examine the climatological characteristics and...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6382875/ https://www.ncbi.nlm.nih.gov/pubmed/30787407 http://dx.doi.org/10.1038/s41598-019-38845-8 |
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author | Lin, Lijie Ge, Erjia Chen, Chongcheng Luo, Ming |
author_facet | Lin, Lijie Ge, Erjia Chen, Chongcheng Luo, Ming |
author_sort | Lin, Lijie |
collection | PubMed |
description | While previous studies largely focus on extreme events, little is known about the behaviors of mild weather, a positive and pleasant condition occurring frequently, directly associated with outdoor activities, and highly relatable to the public. Here we examine the climatological characteristics and long-term trends of mild weather over China during 1971–2014, as well as the possible linkage with the El Niño−Southern Oscillation. It is found that, on average, China experiences 94.5 days (25.4% of all days) of mild weather in a year, and the annual number of mild days increased by 1.02% per decade (3.73 days per decade) during 1971–2014, especially in summer (1.54% per decade), spring (1.49% per decade), and autumn (1.03% per decade). We also find that most parts of China have been experiencing increasing mild weather in 1971–1998 but decreasing in 1998–2014. Clustering analysis reveals six subregions that exhibit distinct mild weather behaviors. In particular, harsh seasons (i.e., summer of southern China and winter of northern China) are becoming even less pleasant. Besides these secular trends, it is also noticed that El Niño event in the preceding winter is followed by less pleasant spring and summer and more pleasant autumn and winter in most areas of China. The results reported here have significant implications for urban planners and governmental policymakers. |
format | Online Article Text |
id | pubmed-6382875 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-63828752019-02-25 Mild weather changes over China during 1971–2014: Climatology, trends, and interannual variability Lin, Lijie Ge, Erjia Chen, Chongcheng Luo, Ming Sci Rep Article While previous studies largely focus on extreme events, little is known about the behaviors of mild weather, a positive and pleasant condition occurring frequently, directly associated with outdoor activities, and highly relatable to the public. Here we examine the climatological characteristics and long-term trends of mild weather over China during 1971–2014, as well as the possible linkage with the El Niño−Southern Oscillation. It is found that, on average, China experiences 94.5 days (25.4% of all days) of mild weather in a year, and the annual number of mild days increased by 1.02% per decade (3.73 days per decade) during 1971–2014, especially in summer (1.54% per decade), spring (1.49% per decade), and autumn (1.03% per decade). We also find that most parts of China have been experiencing increasing mild weather in 1971–1998 but decreasing in 1998–2014. Clustering analysis reveals six subregions that exhibit distinct mild weather behaviors. In particular, harsh seasons (i.e., summer of southern China and winter of northern China) are becoming even less pleasant. Besides these secular trends, it is also noticed that El Niño event in the preceding winter is followed by less pleasant spring and summer and more pleasant autumn and winter in most areas of China. The results reported here have significant implications for urban planners and governmental policymakers. Nature Publishing Group UK 2019-02-20 /pmc/articles/PMC6382875/ /pubmed/30787407 http://dx.doi.org/10.1038/s41598-019-38845-8 Text en © The Author(s) 2019 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/. |
spellingShingle | Article Lin, Lijie Ge, Erjia Chen, Chongcheng Luo, Ming Mild weather changes over China during 1971–2014: Climatology, trends, and interannual variability |
title | Mild weather changes over China during 1971–2014: Climatology, trends, and interannual variability |
title_full | Mild weather changes over China during 1971–2014: Climatology, trends, and interannual variability |
title_fullStr | Mild weather changes over China during 1971–2014: Climatology, trends, and interannual variability |
title_full_unstemmed | Mild weather changes over China during 1971–2014: Climatology, trends, and interannual variability |
title_short | Mild weather changes over China during 1971–2014: Climatology, trends, and interannual variability |
title_sort | mild weather changes over china during 1971–2014: climatology, trends, and interannual variability |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6382875/ https://www.ncbi.nlm.nih.gov/pubmed/30787407 http://dx.doi.org/10.1038/s41598-019-38845-8 |
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