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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Published in:Water
Main Authors: Yanfei Wu, Yu Xu
Format: Article in Journal/Newspaper
Language:English
Published: MDPI AG 2020
Subjects:
Soi
Online Access:https://doi.org/10.3390/w12102734
https://doaj.org/article/370c25e7164049ee8d167b659d9e5a29
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spelling 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
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