Climatic characteristics of hourly extreme precipitation during the warm season in Chongqing
The study analyzed hourly extreme precipitation events in Chongqing and its six sub-regions from 2011 to 2021 during the warm season. Results showed uneven distribution of the 99.7th percentile hourly extreme precipitation threshold, with lower thresholds along the Yangtze River valley and higher th...
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2024-12-01
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| Series: | Geomatics, Natural Hazards & Risk |
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| Online Access: | https://www.tandfonline.com/doi/10.1080/19475705.2023.2278893 |
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| _version_ | 1846126440595062784 |
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| author | Yi Liu Zhong Wang Chengzhi Deng Danhua Zhai Yu Han Yue Pang Yingying Zhou Fang Luo |
| author_facet | Yi Liu Zhong Wang Chengzhi Deng Danhua Zhai Yu Han Yue Pang Yingying Zhou Fang Luo |
| author_sort | Yi Liu |
| collection | DOAJ |
| description | The study analyzed hourly extreme precipitation events in Chongqing and its six sub-regions from 2011 to 2021 during the warm season. Results showed uneven distribution of the 99.7th percentile hourly extreme precipitation threshold, with lower thresholds along the Yangtze River valley and higher thresholds in the Daba Mountains and Wuling Mountains. Both hourly extreme precipitation amount (HEPA) and intensity (HEPI) exhibited higher values in surrounding areas and lower values in the center, with the western, northeast, and southeastern regions experiencing the highest values. Spatial distribution of hourly extreme precipitation frequency varied, with higher frequencies in the northwestern and southern parts of Chongqing. Interannually, hourly extreme precipitation amount slightly increased, while intensity fluctuated. Monthly peak values for amount, frequency, and intensity occurred in July or August, and on a daily scale, the periods from 03:00 to 07:00 and 17:00 to 21: 00 exhibited higher values for amount and frequency, while the period from 11 :00 to 16:00 showed lower values. In summary, the study provided insights into the spatial and temporal patterns of hourly extreme precipitation events in Chongqing and its sub-regions during the warm season, highlighting variations in thresholds, distribution, and trends over the studied period. |
| format | Article |
| id | doaj-art-a404724c11d1468c93c02d230d82889d |
| institution | Kabale University |
| issn | 1947-5705 1947-5713 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Geomatics, Natural Hazards & Risk |
| spelling | doaj-art-a404724c11d1468c93c02d230d82889d2024-12-12T18:11:17ZengTaylor & Francis GroupGeomatics, Natural Hazards & Risk1947-57051947-57132024-12-0115110.1080/19475705.2023.2278893Climatic characteristics of hourly extreme precipitation during the warm season in ChongqingYi Liu0Zhong Wang1Chengzhi Deng2Danhua Zhai3Yu Han4Yue Pang5Yingying Zhou6Fang Luo7CMA Key Open Laboratory of Transforming Climate Resources to Economy, Chongqing, ChinaCMA Key Open Laboratory of Transforming Climate Resources to Economy, Chongqing, ChinaCMA Key Open Laboratory of Transforming Climate Resources to Economy, Chongqing, ChinaCMA Key Open Laboratory of Transforming Climate Resources to Economy, Chongqing, ChinaCMA Key Open Laboratory of Transforming Climate Resources to Economy, Chongqing, ChinaCMA Key Open Laboratory of Transforming Climate Resources to Economy, Chongqing, ChinaCMA Key Open Laboratory of Transforming Climate Resources to Economy, Chongqing, ChinaChongqing Meteorological Bureau, Chongqing, ChinaThe study analyzed hourly extreme precipitation events in Chongqing and its six sub-regions from 2011 to 2021 during the warm season. Results showed uneven distribution of the 99.7th percentile hourly extreme precipitation threshold, with lower thresholds along the Yangtze River valley and higher thresholds in the Daba Mountains and Wuling Mountains. Both hourly extreme precipitation amount (HEPA) and intensity (HEPI) exhibited higher values in surrounding areas and lower values in the center, with the western, northeast, and southeastern regions experiencing the highest values. Spatial distribution of hourly extreme precipitation frequency varied, with higher frequencies in the northwestern and southern parts of Chongqing. Interannually, hourly extreme precipitation amount slightly increased, while intensity fluctuated. Monthly peak values for amount, frequency, and intensity occurred in July or August, and on a daily scale, the periods from 03:00 to 07:00 and 17:00 to 21: 00 exhibited higher values for amount and frequency, while the period from 11 :00 to 16:00 showed lower values. In summary, the study provided insights into the spatial and temporal patterns of hourly extreme precipitation events in Chongqing and its sub-regions during the warm season, highlighting variations in thresholds, distribution, and trends over the studied period.https://www.tandfonline.com/doi/10.1080/19475705.2023.2278893Hourly extreme precipitationthresholddiurnal variationspatio-temporal distribution |
| spellingShingle | Yi Liu Zhong Wang Chengzhi Deng Danhua Zhai Yu Han Yue Pang Yingying Zhou Fang Luo Climatic characteristics of hourly extreme precipitation during the warm season in Chongqing Geomatics, Natural Hazards & Risk Hourly extreme precipitation threshold diurnal variation spatio-temporal distribution |
| title | Climatic characteristics of hourly extreme precipitation during the warm season in Chongqing |
| title_full | Climatic characteristics of hourly extreme precipitation during the warm season in Chongqing |
| title_fullStr | Climatic characteristics of hourly extreme precipitation during the warm season in Chongqing |
| title_full_unstemmed | Climatic characteristics of hourly extreme precipitation during the warm season in Chongqing |
| title_short | Climatic characteristics of hourly extreme precipitation during the warm season in Chongqing |
| title_sort | climatic characteristics of hourly extreme precipitation during the warm season in chongqing |
| topic | Hourly extreme precipitation threshold diurnal variation spatio-temporal distribution |
| url | https://www.tandfonline.com/doi/10.1080/19475705.2023.2278893 |
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