Assessing the Climate Tendency over the Yangtze River Delta, China: Properties, Dry/Wet Event Frequencies, and Causes
In view of the important role to in revealing climate wet/dry tendency, Standardized Precipitation Index (SPI) was applied to identify wetness/dryness trends and their relationship with large-scale climate oscillations in the Yangtze River Delta (YRD) from 1957 to 2016. The daily precipitation in 43...
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ftdoajarticles:oai:doaj.org/article:370c25e7164049ee8d167b659d9e5a29 2023-05-15T17:34:29+02:00 Assessing the Climate Tendency over the Yangtze River Delta, China: Properties, Dry/Wet Event Frequencies, and Causes Yanfei Wu Yu Xu 2020-09-01T00:00:00Z https://doi.org/10.3390/w12102734 https://doaj.org/article/370c25e7164049ee8d167b659d9e5a29 EN eng MDPI AG https://www.mdpi.com/2073-4441/12/10/2734 https://doaj.org/toc/2073-4441 doi:10.3390/w12102734 2073-4441 https://doaj.org/article/370c25e7164049ee8d167b659d9e5a29 Water, Vol 12, Iss 2734, p 2734 (2020) standardized precipitation index (SPI) climate tendency frequencies of wet/dry events climate oscillations Yangtze River Delta Hydraulic engineering TC1-978 Water supply for domestic and industrial purposes TD201-500 article 2020 ftdoajarticles https://doi.org/10.3390/w12102734 2022-12-30T22:55:04Z In view of the important role to in revealing climate wet/dry tendency, Standardized Precipitation Index (SPI) was applied to identify wetness/dryness trends and their relationship with large-scale climate oscillations in the Yangtze River Delta (YRD) from 1957 to 2016. The daily precipitation in 43 meteorological stations was used to calculate SPI time series for a time scale of 12 months. The results indicate that there are three dominant geographic sub-regions of SPI-12 modes. Increasing trends dominate, except for some of the northern regions. High frequencies of wet and dry events are mainly located in the southern regions and part of the northwestern and southeastern regions, respectively. Temporally, large-scale dry events mainly happened in the 1960s–1970s, and wet events in the 1990s and the 2010s. They show a tendency towards more wet conditions of the regional climate in the YRD. The climate variations are primarily controlled by large-scale atmospheric oscillations. The North Atlantic Oscillation (NAO) and Southern Oscillation Index (SOI) have much higher influence on the variation of SPI in the mid and east; whereas the Pacific Decadal Oscillation (PDO) and North Pacific Index (NP) show higher correlations with SPI in the northern regions of the YRD. Article in Journal/Newspaper North Atlantic North Atlantic oscillation Directory of Open Access Journals: DOAJ Articles Pacific Soi ENVELOPE(30.704,30.704,66.481,66.481) Water 12 10 2734 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
standardized precipitation index (SPI) climate tendency frequencies of wet/dry events climate oscillations Yangtze River Delta Hydraulic engineering TC1-978 Water supply for domestic and industrial purposes TD201-500 |
spellingShingle |
standardized precipitation index (SPI) climate tendency frequencies of wet/dry events climate oscillations Yangtze River Delta Hydraulic engineering TC1-978 Water supply for domestic and industrial purposes TD201-500 Yanfei Wu Yu Xu Assessing the Climate Tendency over the Yangtze River Delta, China: Properties, Dry/Wet Event Frequencies, and Causes |
topic_facet |
standardized precipitation index (SPI) climate tendency frequencies of wet/dry events climate oscillations Yangtze River Delta Hydraulic engineering TC1-978 Water supply for domestic and industrial purposes TD201-500 |
description |
In view of the important role to in revealing climate wet/dry tendency, Standardized Precipitation Index (SPI) was applied to identify wetness/dryness trends and their relationship with large-scale climate oscillations in the Yangtze River Delta (YRD) from 1957 to 2016. The daily precipitation in 43 meteorological stations was used to calculate SPI time series for a time scale of 12 months. The results indicate that there are three dominant geographic sub-regions of SPI-12 modes. Increasing trends dominate, except for some of the northern regions. High frequencies of wet and dry events are mainly located in the southern regions and part of the northwestern and southeastern regions, respectively. Temporally, large-scale dry events mainly happened in the 1960s–1970s, and wet events in the 1990s and the 2010s. They show a tendency towards more wet conditions of the regional climate in the YRD. The climate variations are primarily controlled by large-scale atmospheric oscillations. The North Atlantic Oscillation (NAO) and Southern Oscillation Index (SOI) have much higher influence on the variation of SPI in the mid and east; whereas the Pacific Decadal Oscillation (PDO) and North Pacific Index (NP) show higher correlations with SPI in the northern regions of the YRD. |
format |
Article in Journal/Newspaper |
author |
Yanfei Wu Yu Xu |
author_facet |
Yanfei Wu Yu Xu |
author_sort |
Yanfei Wu |
title |
Assessing the Climate Tendency over the Yangtze River Delta, China: Properties, Dry/Wet Event Frequencies, and Causes |
title_short |
Assessing the Climate Tendency over the Yangtze River Delta, China: Properties, Dry/Wet Event Frequencies, and Causes |
title_full |
Assessing the Climate Tendency over the Yangtze River Delta, China: Properties, Dry/Wet Event Frequencies, and Causes |
title_fullStr |
Assessing the Climate Tendency over the Yangtze River Delta, China: Properties, Dry/Wet Event Frequencies, and Causes |
title_full_unstemmed |
Assessing the Climate Tendency over the Yangtze River Delta, China: Properties, Dry/Wet Event Frequencies, and Causes |
title_sort |
assessing the climate tendency over the yangtze river delta, china: properties, dry/wet event frequencies, and causes |
publisher |
MDPI AG |
publishDate |
2020 |
url |
https://doi.org/10.3390/w12102734 https://doaj.org/article/370c25e7164049ee8d167b659d9e5a29 |
long_lat |
ENVELOPE(30.704,30.704,66.481,66.481) |
geographic |
Pacific Soi |
geographic_facet |
Pacific Soi |
genre |
North Atlantic North Atlantic oscillation |
genre_facet |
North Atlantic North Atlantic oscillation |
op_source |
Water, Vol 12, Iss 2734, p 2734 (2020) |
op_relation |
https://www.mdpi.com/2073-4441/12/10/2734 https://doaj.org/toc/2073-4441 doi:10.3390/w12102734 2073-4441 https://doaj.org/article/370c25e7164049ee8d167b659d9e5a29 |
op_doi |
https://doi.org/10.3390/w12102734 |
container_title |
Water |
container_volume |
12 |
container_issue |
10 |
container_start_page |
2734 |
_version_ |
1766133338643365888 |