Spatial-Temporal Variations of Extreme Precipitation Characteristics and Its Correlation with El Niño-Southern Oscillation during 1960–2019 in Hubei Province, China
Extreme precipitation could result in many disasters, such as floods, drought, and soil erosion, further bringing severe economic loss. Based on the daily precipitation records during 1960–2019 of 26 stations obtained from the National Meteorological Science Data Center of China, 10 extreme precipit...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-11-01
|
| Series: | Atmosphere |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2073-4433/13/11/1922 |
| _version_ | 1797465935971352576 |
|---|---|
| author | Weizheng Wang Huiya Tang Jinping Li Yukun Hou |
| author_facet | Weizheng Wang Huiya Tang Jinping Li Yukun Hou |
| author_sort | Weizheng Wang |
| collection | DOAJ |
| description | Extreme precipitation could result in many disasters, such as floods, drought, and soil erosion, further bringing severe economic loss. Based on the daily precipitation records during 1960–2019 of 26 stations obtained from the National Meteorological Science Data Center of China, 10 extreme precipitation indices (EPIs: annual total precipitation (PRCPTOT), max-1-day precipitation amount (RX1day), max-5-day precipitation amount (RX5day), number of heavy rain days (R10), number of very heavy rain days (R10), simple daily intensity index (SDII), consecutive dry days (CDD), continued wet days (CWD), very wet days (R95p) and extremely wet days (R99p)) were chosen and used to analyze the spatial-temporal variation of extreme precipitation within Hubei province, China, which is an important industrial and agricultural base in China. Finally, the correlation between El Niño-Southern Oscillation and EPIs was analyzed by cross-wavelet analysis. Results showed that the annual EPIs varied obviously during 1960–2019, and CWD decreased significantly (<i>p</i> < 0.05). The chosen EPIs were higher in eastern and southwestern Hubei compared to other regions, and RX1day, RX5day, R95p, and R99p were increased in most regions. The spatial-temporal variations of spring and summer EPIs were more obvious than those on an annual scale. In summer, all EPIs except CDD should increase in the near future. More attention should be paid to Wuhan, Enshi, and Macheng, where the RX1day, RX5day, R95p, and R99p will increase in these regions. Finally, the RX1day and R10 were positively correlated with MEI (<i>p</i> < 0.05), while the RX5day, CDD, CWD, and R99p were negatively correlated with MEI (<i>p</i> < 0.05). The extreme precipitation events within Hubei were affected by the El Niño-Southern Oscillation. The results could provide a possible driving factor for precipitation prediction and natural hazard prevention within Hubei province, China. |
| first_indexed | 2024-03-09T18:28:39Z |
| format | Article |
| id | doaj.art-b5533bb66ed84a01a53c9f1fe7d3a40d |
| institution | Directory Open Access Journal |
| issn | 2073-4433 |
| language | English |
| last_indexed | 2024-03-09T18:28:39Z |
| publishDate | 2022-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Atmosphere |
| spelling | doaj.art-b5533bb66ed84a01a53c9f1fe7d3a40d2023-11-24T07:43:00ZengMDPI AGAtmosphere2073-44332022-11-011311192210.3390/atmos13111922Spatial-Temporal Variations of Extreme Precipitation Characteristics and Its Correlation with El Niño-Southern Oscillation during 1960–2019 in Hubei Province, ChinaWeizheng Wang0Huiya Tang1Jinping Li2Yukun Hou3China Communications Construction Company Second Harbour Consultants Co., Ltd., Wuhan 430071, ChinaChina Communications Construction Company Second Harbour Consultants Co., Ltd., Wuhan 430071, ChinaState Key Laboratory of Water Resources and Hydropower Engineering Scinece, Wuhan University, Wuhan 430000, ChinaChina Communications Construction Company Second Harbour Consultants Co., Ltd., Wuhan 430071, ChinaExtreme precipitation could result in many disasters, such as floods, drought, and soil erosion, further bringing severe economic loss. Based on the daily precipitation records during 1960–2019 of 26 stations obtained from the National Meteorological Science Data Center of China, 10 extreme precipitation indices (EPIs: annual total precipitation (PRCPTOT), max-1-day precipitation amount (RX1day), max-5-day precipitation amount (RX5day), number of heavy rain days (R10), number of very heavy rain days (R10), simple daily intensity index (SDII), consecutive dry days (CDD), continued wet days (CWD), very wet days (R95p) and extremely wet days (R99p)) were chosen and used to analyze the spatial-temporal variation of extreme precipitation within Hubei province, China, which is an important industrial and agricultural base in China. Finally, the correlation between El Niño-Southern Oscillation and EPIs was analyzed by cross-wavelet analysis. Results showed that the annual EPIs varied obviously during 1960–2019, and CWD decreased significantly (<i>p</i> < 0.05). The chosen EPIs were higher in eastern and southwestern Hubei compared to other regions, and RX1day, RX5day, R95p, and R99p were increased in most regions. The spatial-temporal variations of spring and summer EPIs were more obvious than those on an annual scale. In summer, all EPIs except CDD should increase in the near future. More attention should be paid to Wuhan, Enshi, and Macheng, where the RX1day, RX5day, R95p, and R99p will increase in these regions. Finally, the RX1day and R10 were positively correlated with MEI (<i>p</i> < 0.05), while the RX5day, CDD, CWD, and R99p were negatively correlated with MEI (<i>p</i> < 0.05). The extreme precipitation events within Hubei were affected by the El Niño-Southern Oscillation. The results could provide a possible driving factor for precipitation prediction and natural hazard prevention within Hubei province, China.https://www.mdpi.com/2073-4433/13/11/1922extreme rainfall indextrend analysishurst indexspatial-temporal variationEl Niño-Southern Oscillationmiddle China |
| spellingShingle | Weizheng Wang Huiya Tang Jinping Li Yukun Hou Spatial-Temporal Variations of Extreme Precipitation Characteristics and Its Correlation with El Niño-Southern Oscillation during 1960–2019 in Hubei Province, China Atmosphere extreme rainfall index trend analysis hurst index spatial-temporal variation El Niño-Southern Oscillation middle China |
| title | Spatial-Temporal Variations of Extreme Precipitation Characteristics and Its Correlation with El Niño-Southern Oscillation during 1960–2019 in Hubei Province, China |
| title_full | Spatial-Temporal Variations of Extreme Precipitation Characteristics and Its Correlation with El Niño-Southern Oscillation during 1960–2019 in Hubei Province, China |
| title_fullStr | Spatial-Temporal Variations of Extreme Precipitation Characteristics and Its Correlation with El Niño-Southern Oscillation during 1960–2019 in Hubei Province, China |
| title_full_unstemmed | Spatial-Temporal Variations of Extreme Precipitation Characteristics and Its Correlation with El Niño-Southern Oscillation during 1960–2019 in Hubei Province, China |
| title_short | Spatial-Temporal Variations of Extreme Precipitation Characteristics and Its Correlation with El Niño-Southern Oscillation during 1960–2019 in Hubei Province, China |
| title_sort | spatial temporal variations of extreme precipitation characteristics and its correlation with el nino southern oscillation during 1960 2019 in hubei province china |
| topic | extreme rainfall index trend analysis hurst index spatial-temporal variation El Niño-Southern Oscillation middle China |
| url | https://www.mdpi.com/2073-4433/13/11/1922 |
| work_keys_str_mv | AT weizhengwang spatialtemporalvariationsofextremeprecipitationcharacteristicsanditscorrelationwithelninosouthernoscillationduring19602019inhubeiprovincechina AT huiyatang spatialtemporalvariationsofextremeprecipitationcharacteristicsanditscorrelationwithelninosouthernoscillationduring19602019inhubeiprovincechina AT jinpingli spatialtemporalvariationsofextremeprecipitationcharacteristicsanditscorrelationwithelninosouthernoscillationduring19602019inhubeiprovincechina AT yukunhou spatialtemporalvariationsofextremeprecipitationcharacteristicsanditscorrelationwithelninosouthernoscillationduring19602019inhubeiprovincechina |