Spatial and Temporal Variations of the Precipitation Structure in Jiangsu Province from 1960 to 2020 and Its Potential Climate-Driving Factors
This study investigated the temporal and spatial variations of precipitation duration and intensity in Jiangsu Province from 1960 to 2020 using the IDW spatial interpolation method and Kendall’s tau trend test, based on daily precipitation data collected from 22 meteorological stations. Additionally...
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ftdoajarticles:oai:doaj.org/article:2796782e98494e59ac7262444c847cca 2024-01-07T09:42:00+01:00 Spatial and Temporal Variations of the Precipitation Structure in Jiangsu Province from 1960 to 2020 and Its Potential Climate-Driving Factors Zikang Ren Huarong Zhao Kangming Shi Guoliang Yang 2023-11-01T00:00:00Z https://doi.org/10.3390/w15234032 https://doaj.org/article/2796782e98494e59ac7262444c847cca EN eng MDPI AG https://www.mdpi.com/2073-4441/15/23/4032 https://doaj.org/toc/2073-4441 doi:10.3390/w15234032 2073-4441 https://doaj.org/article/2796782e98494e59ac7262444c847cca Water, Vol 15, Iss 23, p 4032 (2023) precipitation structure precipitation occurrence rate precipitation contribution rate trend analysis large-scale climate indices Jiangsu Province Hydraulic engineering TC1-978 Water supply for domestic and industrial purposes TD201-500 article 2023 ftdoajarticles https://doi.org/10.3390/w15234032 2023-12-10T01:36:21Z This study investigated the temporal and spatial variations of precipitation duration and intensity in Jiangsu Province from 1960 to 2020 using the IDW spatial interpolation method and Kendall’s tau trend test, based on daily precipitation data collected from 22 meteorological stations. Additionally, a Pearson correlation analysis was conducted to examine the correlations between the occurrence rate and contribution rate of precipitation with different durations and grades, as well as five large-scale climate indices. The results indicated the following trends: (1) An increase in the precipitation duration corresponded to a decrease in the occurrence rates, while the contribution rates initially increased and then decreased. The province was predominantly characterized by 1–3 days of light rainfall, with a higher probability of short-duration heavy rainfall in northern Jiangsu. (2) From 1960 to 2020, most stations experienced decreasing trends in the precipitation duration occurrence and contribution rates, but heavy rainfall increased, suggesting a shift to short-duration heavy precipitation. (3) The Arctic Oscillation (AO) notably negatively correlates with the 9-day occurrence rate of precipitation (9dOR), while it positively correlates significantly with the occurrence rate of moderate rainfall (MROR). The North Atlantic Oscillation (NAO) exhibits a significant positive correlation with the 2-day occurrence rate of precipitation (2dOR) and a notable negative correlation with the 9-day occurrence rate of precipitation (9dOR). The PDO (Pacific Decadal Oscillation) has shown significant positive correlations with the 2-day precipitation occurrence rate (2dOR) and contribution rate (2dCR), a negative correlation with the light rainfall occurrence rate (LROR), and significant positive correlations with both the moderate and heavy rainfall occurrence rates (MROR and HROR, respectively). The AO, NAO, and PDO are potential climate factors that influence changes in the precipitation structure in Jiangsu Province. ... Article in Journal/Newspaper Arctic North Atlantic North Atlantic oscillation Directory of Open Access Journals: DOAJ Articles Arctic Pacific Water 15 23 4032 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
precipitation structure precipitation occurrence rate precipitation contribution rate trend analysis large-scale climate indices Jiangsu Province Hydraulic engineering TC1-978 Water supply for domestic and industrial purposes TD201-500 |
spellingShingle |
precipitation structure precipitation occurrence rate precipitation contribution rate trend analysis large-scale climate indices Jiangsu Province Hydraulic engineering TC1-978 Water supply for domestic and industrial purposes TD201-500 Zikang Ren Huarong Zhao Kangming Shi Guoliang Yang Spatial and Temporal Variations of the Precipitation Structure in Jiangsu Province from 1960 to 2020 and Its Potential Climate-Driving Factors |
topic_facet |
precipitation structure precipitation occurrence rate precipitation contribution rate trend analysis large-scale climate indices Jiangsu Province Hydraulic engineering TC1-978 Water supply for domestic and industrial purposes TD201-500 |
description |
This study investigated the temporal and spatial variations of precipitation duration and intensity in Jiangsu Province from 1960 to 2020 using the IDW spatial interpolation method and Kendall’s tau trend test, based on daily precipitation data collected from 22 meteorological stations. Additionally, a Pearson correlation analysis was conducted to examine the correlations between the occurrence rate and contribution rate of precipitation with different durations and grades, as well as five large-scale climate indices. The results indicated the following trends: (1) An increase in the precipitation duration corresponded to a decrease in the occurrence rates, while the contribution rates initially increased and then decreased. The province was predominantly characterized by 1–3 days of light rainfall, with a higher probability of short-duration heavy rainfall in northern Jiangsu. (2) From 1960 to 2020, most stations experienced decreasing trends in the precipitation duration occurrence and contribution rates, but heavy rainfall increased, suggesting a shift to short-duration heavy precipitation. (3) The Arctic Oscillation (AO) notably negatively correlates with the 9-day occurrence rate of precipitation (9dOR), while it positively correlates significantly with the occurrence rate of moderate rainfall (MROR). The North Atlantic Oscillation (NAO) exhibits a significant positive correlation with the 2-day occurrence rate of precipitation (2dOR) and a notable negative correlation with the 9-day occurrence rate of precipitation (9dOR). The PDO (Pacific Decadal Oscillation) has shown significant positive correlations with the 2-day precipitation occurrence rate (2dOR) and contribution rate (2dCR), a negative correlation with the light rainfall occurrence rate (LROR), and significant positive correlations with both the moderate and heavy rainfall occurrence rates (MROR and HROR, respectively). The AO, NAO, and PDO are potential climate factors that influence changes in the precipitation structure in Jiangsu Province. ... |
format |
Article in Journal/Newspaper |
author |
Zikang Ren Huarong Zhao Kangming Shi Guoliang Yang |
author_facet |
Zikang Ren Huarong Zhao Kangming Shi Guoliang Yang |
author_sort |
Zikang Ren |
title |
Spatial and Temporal Variations of the Precipitation Structure in Jiangsu Province from 1960 to 2020 and Its Potential Climate-Driving Factors |
title_short |
Spatial and Temporal Variations of the Precipitation Structure in Jiangsu Province from 1960 to 2020 and Its Potential Climate-Driving Factors |
title_full |
Spatial and Temporal Variations of the Precipitation Structure in Jiangsu Province from 1960 to 2020 and Its Potential Climate-Driving Factors |
title_fullStr |
Spatial and Temporal Variations of the Precipitation Structure in Jiangsu Province from 1960 to 2020 and Its Potential Climate-Driving Factors |
title_full_unstemmed |
Spatial and Temporal Variations of the Precipitation Structure in Jiangsu Province from 1960 to 2020 and Its Potential Climate-Driving Factors |
title_sort |
spatial and temporal variations of the precipitation structure in jiangsu province from 1960 to 2020 and its potential climate-driving factors |
publisher |
MDPI AG |
publishDate |
2023 |
url |
https://doi.org/10.3390/w15234032 https://doaj.org/article/2796782e98494e59ac7262444c847cca |
geographic |
Arctic Pacific |
geographic_facet |
Arctic Pacific |
genre |
Arctic North Atlantic North Atlantic oscillation |
genre_facet |
Arctic North Atlantic North Atlantic oscillation |
op_source |
Water, Vol 15, Iss 23, p 4032 (2023) |
op_relation |
https://www.mdpi.com/2073-4441/15/23/4032 https://doaj.org/toc/2073-4441 doi:10.3390/w15234032 2073-4441 https://doaj.org/article/2796782e98494e59ac7262444c847cca |
op_doi |
https://doi.org/10.3390/w15234032 |
container_title |
Water |
container_volume |
15 |
container_issue |
23 |
container_start_page |
4032 |
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1787422837475115008 |