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Temperature Dependence of Hourly, Daily, and Event-based Precipitation Extremes Over China
Theoretically, precipitation extremes will increase at a rate of 6–7% with temperature increasing, namely the Clausius-Clapeyron relationship. However, many gauge observations suggest a peak structure of the relationship between precipitation extremes and atmospheric temperature, deviating from the...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6277456/ https://www.ncbi.nlm.nih.gov/pubmed/30510162 http://dx.doi.org/10.1038/s41598-018-35405-4 |
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author | Gao, Xichao Zhu, Qian Yang, Zhiyong Liu, Jiahong Wang, Hao Shao, Weiwei Huang, Guoru |
author_facet | Gao, Xichao Zhu, Qian Yang, Zhiyong Liu, Jiahong Wang, Hao Shao, Weiwei Huang, Guoru |
author_sort | Gao, Xichao |
collection | PubMed |
description | Theoretically, precipitation extremes will increase at a rate of 6–7% with temperature increasing, namely the Clausius-Clapeyron relationship. However, many gauge observations suggest a peak structure of the relationship between precipitation extremes and atmospheric temperature, deviating from the Clausius-Clapeyron relationship. In this study, a comprehensive investigation about the temperature dependence of precipitation extremes (hourly, daily, and event-based) across China is implemented. The results confirm the widespread existence of the peak structure for daily and hourly precipitation extremes and show that (1) there is a generally positive spatial correlation between the precipitation extremes at the peak and temperature at the peak, and this scaling rate is close to the C-C rate; (2) the scaling of event-based extremes for precipitation amount with temperature follows a similar pattern to the daily precipitation extremes while the event-based precipitation intensity does not show a peak structure; (3) the decrease of rain duration is the main cause for the peak structure of the rain amount scaling. |
format | Online Article Text |
id | pubmed-6277456 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-62774562018-12-06 Temperature Dependence of Hourly, Daily, and Event-based Precipitation Extremes Over China Gao, Xichao Zhu, Qian Yang, Zhiyong Liu, Jiahong Wang, Hao Shao, Weiwei Huang, Guoru Sci Rep Article Theoretically, precipitation extremes will increase at a rate of 6–7% with temperature increasing, namely the Clausius-Clapeyron relationship. However, many gauge observations suggest a peak structure of the relationship between precipitation extremes and atmospheric temperature, deviating from the Clausius-Clapeyron relationship. In this study, a comprehensive investigation about the temperature dependence of precipitation extremes (hourly, daily, and event-based) across China is implemented. The results confirm the widespread existence of the peak structure for daily and hourly precipitation extremes and show that (1) there is a generally positive spatial correlation between the precipitation extremes at the peak and temperature at the peak, and this scaling rate is close to the C-C rate; (2) the scaling of event-based extremes for precipitation amount with temperature follows a similar pattern to the daily precipitation extremes while the event-based precipitation intensity does not show a peak structure; (3) the decrease of rain duration is the main cause for the peak structure of the rain amount scaling. Nature Publishing Group UK 2018-12-03 /pmc/articles/PMC6277456/ /pubmed/30510162 http://dx.doi.org/10.1038/s41598-018-35405-4 Text en © The Author(s) 2018 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 Gao, Xichao Zhu, Qian Yang, Zhiyong Liu, Jiahong Wang, Hao Shao, Weiwei Huang, Guoru Temperature Dependence of Hourly, Daily, and Event-based Precipitation Extremes Over China |
title | Temperature Dependence of Hourly, Daily, and Event-based Precipitation Extremes Over China |
title_full | Temperature Dependence of Hourly, Daily, and Event-based Precipitation Extremes Over China |
title_fullStr | Temperature Dependence of Hourly, Daily, and Event-based Precipitation Extremes Over China |
title_full_unstemmed | Temperature Dependence of Hourly, Daily, and Event-based Precipitation Extremes Over China |
title_short | Temperature Dependence of Hourly, Daily, and Event-based Precipitation Extremes Over China |
title_sort | temperature dependence of hourly, daily, and event-based precipitation extremes over china |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6277456/ https://www.ncbi.nlm.nih.gov/pubmed/30510162 http://dx.doi.org/10.1038/s41598-018-35405-4 |
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