Cargando…

Dominant change pattern of extreme precipitation and its potential causes in Shandong Province, China

Due to global warming, global and regional extreme precipitation events occur frequently, causing severe drought and flood disasters. This has a significant impact on productivity and human life. Therefore, it is of great significance to study the characteristics of extreme precipitation and its spa...

Descripción completa

Detalles Bibliográficos
Autores principales: Xia, Jun, Yang, Xu-yang, Liu, Jian, Wang, Mingsen, Li, Jiake
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8764064/
https://www.ncbi.nlm.nih.gov/pubmed/35039594
http://dx.doi.org/10.1038/s41598-022-04905-9
_version_ 1784634081368080384
author Xia, Jun
Yang, Xu-yang
Liu, Jian
Wang, Mingsen
Li, Jiake
author_facet Xia, Jun
Yang, Xu-yang
Liu, Jian
Wang, Mingsen
Li, Jiake
author_sort Xia, Jun
collection PubMed
description Due to global warming, global and regional extreme precipitation events occur frequently, causing severe drought and flood disasters. This has a significant impact on productivity and human life. Therefore, it is of great significance to study the characteristics of extreme precipitation and its spatiotemporal variation. In this study, we investigate the dominant variation patterns of extreme precipitation (EP), which is characterized by indices, and also analyze its potential causes in the Shandong province of China during 1961–2015 using the daily precipitation data from 123 metrological stations. The results show that there has been a dry trend in the Shandong Province in the past 55 years, that is, with the decrease in precipitation, most of the extreme precipitation index has basically showed a downward trend to varying degrees. In particular, the increase in the number of consecutive dry days (CDD) and the decrease in the number of consecutive wet days (CWD) can better explain the drought in this region. After the 1980s, the extreme precipitation index basically showed an upward trend to varying degrees, indicating that extreme precipitation events have shown an increasing trend in recent years. The spatial distribution of each extreme precipitation index generally increased from north to south. The mutation of each extreme precipitation index occurred in the 1970s and 1990s, and there was a main period of 0.9–2.2 years. In terms of influencing factors, the NINO3 area can be used as the critical sea area for the response of extreme precipitation to SSTAs in the Shandong Province. The research results are helpful to understand the temporal and spatial variations of extreme precipitation and have very important reference value for the prediction of and response to climate change and extreme events in the future.
format Online
Article
Text
id pubmed-8764064
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-87640642022-01-18 Dominant change pattern of extreme precipitation and its potential causes in Shandong Province, China Xia, Jun Yang, Xu-yang Liu, Jian Wang, Mingsen Li, Jiake Sci Rep Article Due to global warming, global and regional extreme precipitation events occur frequently, causing severe drought and flood disasters. This has a significant impact on productivity and human life. Therefore, it is of great significance to study the characteristics of extreme precipitation and its spatiotemporal variation. In this study, we investigate the dominant variation patterns of extreme precipitation (EP), which is characterized by indices, and also analyze its potential causes in the Shandong province of China during 1961–2015 using the daily precipitation data from 123 metrological stations. The results show that there has been a dry trend in the Shandong Province in the past 55 years, that is, with the decrease in precipitation, most of the extreme precipitation index has basically showed a downward trend to varying degrees. In particular, the increase in the number of consecutive dry days (CDD) and the decrease in the number of consecutive wet days (CWD) can better explain the drought in this region. After the 1980s, the extreme precipitation index basically showed an upward trend to varying degrees, indicating that extreme precipitation events have shown an increasing trend in recent years. The spatial distribution of each extreme precipitation index generally increased from north to south. The mutation of each extreme precipitation index occurred in the 1970s and 1990s, and there was a main period of 0.9–2.2 years. In terms of influencing factors, the NINO3 area can be used as the critical sea area for the response of extreme precipitation to SSTAs in the Shandong Province. The research results are helpful to understand the temporal and spatial variations of extreme precipitation and have very important reference value for the prediction of and response to climate change and extreme events in the future. Nature Publishing Group UK 2022-01-17 /pmc/articles/PMC8764064/ /pubmed/35039594 http://dx.doi.org/10.1038/s41598-022-04905-9 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
Xia, Jun
Yang, Xu-yang
Liu, Jian
Wang, Mingsen
Li, Jiake
Dominant change pattern of extreme precipitation and its potential causes in Shandong Province, China
title Dominant change pattern of extreme precipitation and its potential causes in Shandong Province, China
title_full Dominant change pattern of extreme precipitation and its potential causes in Shandong Province, China
title_fullStr Dominant change pattern of extreme precipitation and its potential causes in Shandong Province, China
title_full_unstemmed Dominant change pattern of extreme precipitation and its potential causes in Shandong Province, China
title_short Dominant change pattern of extreme precipitation and its potential causes in Shandong Province, China
title_sort dominant change pattern of extreme precipitation and its potential causes in shandong province, china
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8764064/
https://www.ncbi.nlm.nih.gov/pubmed/35039594
http://dx.doi.org/10.1038/s41598-022-04905-9
work_keys_str_mv AT xiajun dominantchangepatternofextremeprecipitationanditspotentialcausesinshandongprovincechina
AT yangxuyang dominantchangepatternofextremeprecipitationanditspotentialcausesinshandongprovincechina
AT liujian dominantchangepatternofextremeprecipitationanditspotentialcausesinshandongprovincechina
AT wangmingsen dominantchangepatternofextremeprecipitationanditspotentialcausesinshandongprovincechina
AT lijiake dominantchangepatternofextremeprecipitationanditspotentialcausesinshandongprovincechina