Change patterns of precipitation anomalies and possible teleconnections with large-scale climate oscillations over the Yangtze River Delta, China
In view of the key factor in regional hydrological processes and water resource management, the temporal patterns of precipitation anomalies and oscillations were detected by the Quantile Perturbation Method (QPM) and the Singular Spectrum Analysis (SSA) Method, and the spatial patterns were identif...
Published in: | Journal of Water and Climate Change |
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IWA Publishing
2022
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Online Access: | https://doi.org/10.2166/wcc.2022.097 https://doaj.org/article/a2c506f47a564d0184026fdea0a61713 |
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fttriple:oai:gotriple.eu:oai:doaj.org/article:a2c506f47a564d0184026fdea0a61713 2023-05-15T15:14:59+02:00 Change patterns of precipitation anomalies and possible teleconnections with large-scale climate oscillations over the Yangtze River Delta, China Yu Xu Yan Zhao Yanjuan Wu Chao Gao 2022-08-01 https://doi.org/10.2166/wcc.2022.097 https://doaj.org/article/a2c506f47a564d0184026fdea0a61713 en eng IWA Publishing 2040-2244 2408-9354 doi:10.2166/wcc.2022.097 https://doaj.org/article/a2c506f47a564d0184026fdea0a61713 undefined Journal of Water and Climate Change, Vol 13, Iss 8, Pp 2972-2990 (2022) china change modes climate oscillations precipitation yangtze river delta envir geo Journal Article https://vocabularies.coar-repositories.org/resource_types/c_6501/ 2022 fttriple https://doi.org/10.2166/wcc.2022.097 2023-01-22T18:58:53Z In view of the key factor in regional hydrological processes and water resource management, the temporal patterns of precipitation anomalies and oscillations were detected by the Quantile Perturbation Method (QPM) and the Singular Spectrum Analysis (SSA) Method, and the spatial patterns were identified using the Principal Component Analysis (PCA) Method. In addition, the teleconnections and lagged influence with large-scale climate oscillations in the Yangtze River Delta (YRD) of China from 1957 to 2016 were also analyzed. Results showed that, temporally, the main oscillations of precipitation were all found to be 2, 7–11 and 3–4 years in the annual and seasonal scales. Precipitation quantiles are subject to strong temporal oscillations at (multi-)decadal time scales, with high and low anomalies at specific periods. Spatially, the whole region could be divided into two main sub-regions in annual and seasonal scales, respectively. Among the selected large-scale climate oscillations in this study, the Pacific Decadal Oscillation (PDO) has a stronger influence on precipitation in March, July and September, but significant correlations were detected in more than 18% of the total stations. These stations were mainly in the southeast regions. The North Pacific index (NP) controlled the precipitation in February (13.95% of the total stations) and October (37.21% of the total stations) in the north region. Generally, the indicators of the Southern Oscillation Index (SOI) and Oceanic Niño 4 SST Index (ONI) had the strongest influence in regional precipitation variations, but significant correlations were detected in more than 20% of the total stations in March, September, October and November. Also, large-scale climate oscillations have a delayed way on precipitation. Among the oscillations, the Arctic Oscillation (AO) and North Atlantic Oscillation (NAO) showed that significant cross-correlations on precipitation were 0 and 3–5 months, respectively. NP showed significant cross-correlations with precipitation in many ... Article in Journal/Newspaper Arctic North Atlantic North Atlantic oscillation Unknown Arctic Pacific Soi ENVELOPE(30.704,30.704,66.481,66.481) Journal of Water and Climate Change 13 8 2972 2990 |
institution |
Open Polar |
collection |
Unknown |
op_collection_id |
fttriple |
language |
English |
topic |
china change modes climate oscillations precipitation yangtze river delta envir geo |
spellingShingle |
china change modes climate oscillations precipitation yangtze river delta envir geo Yu Xu Yan Zhao Yanjuan Wu Chao Gao Change patterns of precipitation anomalies and possible teleconnections with large-scale climate oscillations over the Yangtze River Delta, China |
topic_facet |
china change modes climate oscillations precipitation yangtze river delta envir geo |
description |
In view of the key factor in regional hydrological processes and water resource management, the temporal patterns of precipitation anomalies and oscillations were detected by the Quantile Perturbation Method (QPM) and the Singular Spectrum Analysis (SSA) Method, and the spatial patterns were identified using the Principal Component Analysis (PCA) Method. In addition, the teleconnections and lagged influence with large-scale climate oscillations in the Yangtze River Delta (YRD) of China from 1957 to 2016 were also analyzed. Results showed that, temporally, the main oscillations of precipitation were all found to be 2, 7–11 and 3–4 years in the annual and seasonal scales. Precipitation quantiles are subject to strong temporal oscillations at (multi-)decadal time scales, with high and low anomalies at specific periods. Spatially, the whole region could be divided into two main sub-regions in annual and seasonal scales, respectively. Among the selected large-scale climate oscillations in this study, the Pacific Decadal Oscillation (PDO) has a stronger influence on precipitation in March, July and September, but significant correlations were detected in more than 18% of the total stations. These stations were mainly in the southeast regions. The North Pacific index (NP) controlled the precipitation in February (13.95% of the total stations) and October (37.21% of the total stations) in the north region. Generally, the indicators of the Southern Oscillation Index (SOI) and Oceanic Niño 4 SST Index (ONI) had the strongest influence in regional precipitation variations, but significant correlations were detected in more than 20% of the total stations in March, September, October and November. Also, large-scale climate oscillations have a delayed way on precipitation. Among the oscillations, the Arctic Oscillation (AO) and North Atlantic Oscillation (NAO) showed that significant cross-correlations on precipitation were 0 and 3–5 months, respectively. NP showed significant cross-correlations with precipitation in many ... |
format |
Article in Journal/Newspaper |
author |
Yu Xu Yan Zhao Yanjuan Wu Chao Gao |
author_facet |
Yu Xu Yan Zhao Yanjuan Wu Chao Gao |
author_sort |
Yu Xu |
title |
Change patterns of precipitation anomalies and possible teleconnections with large-scale climate oscillations over the Yangtze River Delta, China |
title_short |
Change patterns of precipitation anomalies and possible teleconnections with large-scale climate oscillations over the Yangtze River Delta, China |
title_full |
Change patterns of precipitation anomalies and possible teleconnections with large-scale climate oscillations over the Yangtze River Delta, China |
title_fullStr |
Change patterns of precipitation anomalies and possible teleconnections with large-scale climate oscillations over the Yangtze River Delta, China |
title_full_unstemmed |
Change patterns of precipitation anomalies and possible teleconnections with large-scale climate oscillations over the Yangtze River Delta, China |
title_sort |
change patterns of precipitation anomalies and possible teleconnections with large-scale climate oscillations over the yangtze river delta, china |
publisher |
IWA Publishing |
publishDate |
2022 |
url |
https://doi.org/10.2166/wcc.2022.097 https://doaj.org/article/a2c506f47a564d0184026fdea0a61713 |
long_lat |
ENVELOPE(30.704,30.704,66.481,66.481) |
geographic |
Arctic Pacific Soi |
geographic_facet |
Arctic Pacific Soi |
genre |
Arctic North Atlantic North Atlantic oscillation |
genre_facet |
Arctic North Atlantic North Atlantic oscillation |
op_source |
Journal of Water and Climate Change, Vol 13, Iss 8, Pp 2972-2990 (2022) |
op_relation |
2040-2244 2408-9354 doi:10.2166/wcc.2022.097 https://doaj.org/article/a2c506f47a564d0184026fdea0a61713 |
op_rights |
undefined |
op_doi |
https://doi.org/10.2166/wcc.2022.097 |
container_title |
Journal of Water and Climate Change |
container_volume |
13 |
container_issue |
8 |
container_start_page |
2972 |
op_container_end_page |
2990 |
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1766345379140337664 |