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...

Full description

Bibliographic Details
Published in:Water
Main Authors: Yanfei Wu, Yu Xu
Format: Text
Language:English
Published: Multidisciplinary Digital Publishing Institute 2020
Subjects:
Soi
Online Access:https://doi.org/10.3390/w12102734
id ftmdpi:oai:mdpi.com:/2073-4441/12/10/2734/
record_format openpolar
spelling 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
container_issue 10
container_start_page 2734
_version_ 1774720670965432320