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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ftmdpi:oai:mdpi.com:/2073-4441/12/10/2734/ 2023-08-20T04:08:25+02:00 Assessing the Climate Tendency over the Yangtze River Delta, China: Properties, Dry/Wet Event Frequencies, and Causes Yanfei Wu Yu Xu agris 2020-09-30 application/pdf https://doi.org/10.3390/w12102734 EN eng Multidisciplinary Digital Publishing Institute Hydrology https://dx.doi.org/10.3390/w12102734 https://creativecommons.org/licenses/by/4.0/ Water; Volume 12; Issue 10; Pages: 2734 standardized precipitation index (SPI) climate tendency frequencies of wet/dry events climate oscillations Yangtze River Delta Text 2020 ftmdpi https://doi.org/10.3390/w12102734 2023-08-01T00:12:25Z 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. Text North Atlantic North Atlantic oscillation MDPI Open Access Publishing Pacific Soi ENVELOPE(30.704,30.704,66.481,66.481) Water 12 10 2734 |
institution |
Open Polar |
collection |
MDPI Open Access Publishing |
op_collection_id |
ftmdpi |
language |
English |
topic |
standardized precipitation index (SPI) climate tendency frequencies of wet/dry events climate oscillations Yangtze River Delta |
spellingShingle |
standardized precipitation index (SPI) climate tendency frequencies of wet/dry events climate oscillations Yangtze River Delta 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 |
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 |
Text |
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 |
Multidisciplinary Digital Publishing Institute |
publishDate |
2020 |
url |
https://doi.org/10.3390/w12102734 |
op_coverage |
agris |
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; Volume 12; Issue 10; Pages: 2734 |
op_relation |
Hydrology https://dx.doi.org/10.3390/w12102734 |
op_rights |
https://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.3390/w12102734 |
container_title |
Water |
container_volume |
12 |
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10 |
container_start_page |
2734 |
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1774720670965432320 |