Characteristics Analysis of Convective Precipitation and Large-scale Precipitation in South China based on ERA5 Data
Received date: 2023-07-24
Revised date: 2024-03-11
Online published: 2024-11-23
South China (SC) is one of the regions with the most annual precipitation in China.Under the background of global warming, there had been significant changes in precipitation at regional and scale levels, the area of dry- and wet-season precipitation was expanding, and regional extreme precipitation events showed a significant upward trend in SC, but the changes and impacts of different types of precipitation were not the same.To better understand how different types of precipitation in SC respond to global warming, this paper investigated the characteristics of convective precipitation (CP) and large-scale precipitation (LSP) in SC based on ERA5 reanalysis precipitation dataset from 1960 to 2022 using linear correlation, trend analysis and wavelet analysis.The results showed that: (1) SC was dominated by LSP in winter while CP in other seasons.(2) CP and LSP in SC showed an increasing trend in winter, but most of CP showed a decreasing trend in other seasons.CP in SC had a relatively significant 2~4 years cycle from the 1980s to the beginning of the 21st century in winter, as well as there was an interdecadal characteristic of shifting from more to less in the 1990s to the beginning of the 21st century in spring, but the significant cyclical variations were mainly found in the period before the 1990s in autumn.In all seasons except winter, the changes in LSP were consistent with CP.(3) The total precipitation (TP) from April to October in Guangdong and Guangxi was mainly CP (CP accounts for about 65% of TP), with the largest proportion in August (71.8% in Guangdong and 69.0% in Guangxi).On the other hand, the proportion of CP in the first rainy season (up to 80% in May) was significantly higher than in the second rainy season in Hainan.Additionally, the proportion of CP remained at about 50% even in autumn and winter.(4) The diurnal variation intensity of CP and LSP was strongest in Hainan while the intensity of CP was the weakest in Guangxi.The peak periods of the strongest precipitation in Guangdong, Guangxi, and Hainan occured respectively from 13:00 to 17:00 (Beijing time, the sameas followed), 15:00 to 17:00, and 14:00 to 16:00.The LSP peaked between 09:00 and 17:00 in Guangdong, and it started to strengthen from 04:00 and weakened in the afternoon, with the strongest period around 10:00 in Guangxi, for Hainan, the strongest period was 12:00 -17:00 before August, but 15:00 -16:00 after late September.In conclusion, the characteristics of precipitation varied with different seasons and types.Therefore, it was necessary to continue considering the impact of different types of precipitation in future research.
Hui DU , Juanhuai WANG , Xingxing HUANG , Yamin HU . Characteristics Analysis of Convective Precipitation and Large-scale Precipitation in South China based on ERA5 Data[J]. Plateau Meteorology, 2024 , 43(6) : 1462 -1474 . DOI: 10.7522/j.issn.1000-0534.2024.00031
null | |
null | |
null | |
null | |
null | |
null | |
null | |
null | |
null | |
null | |
null | |
null | |
null | |
null | |
null | |
null | |
null | |
null | |
null | |
null | |
null | |
null | |
null | |
null | |
null | |
null | |
null | |
null | |
null | |
null | |
null | |
null | |
null | 郝立生, 丁一汇, 2023.华北夏季降水异常与华南前汛期降水异常的关系[J].高原气象, 42(2): 272-282.DOI: 10.7522/j.issn.1000-0534.2022.00063.Hao L S , |
null | |
null | 黄晓龙, 吴薇, 许剑辉, 等, 2023.ERA5-Land降水再分析资料在中国西南地区的适用性评估[J].高原气象, 42(6): 1562-1575.DOI: 10.7522/j.issn.1000-0534.2023.00012.Huang X L , |
null | |
null | 李建平, 任荣彩, 齐义泉, 等, 2013.亚洲区域海-陆-气相互作用对全球和亚洲气候变化的作用研究进展[J].大气科学, 37(2): 518-538.DOI: 10.3878/j.issn.1006-9895.2012.12322.Li J P , |
null | |
null | 梁巧倩, 李晓娟, 文秋实, 等, 2022.强弱天气尺度强迫下广东短时强降水时空特征分析[J].热带气象学报, 38(5): 641-650.DOI: 10.16032/j.issn.1004-4965.2022.058.Liang Q Q , |
null | |
null | 蒲于莉, 冯娟, 李建平, 2023.东部型El Ni?o事件发展期秋季对中国极端降水的影响[J].高原气象, 42(6): 1457-1467.DOI: 10.7522/j.issn.1000-0534.2023.00004.PU Y L , |
null | F J, |
null | 王彩霞, 黄安宁, 郑鹏, 等, 2022.中国第一代全球陆面再分析(CRA40/Land)气温和降水产品在中国大陆的适用性评估[J].高原气象, 41(5): 1325-1334.DOI: 10.7522/j.issn.1000-0534.2021.00056.Wang C X , |
null | |
null | 韦志刚, 李娴茹, 刘雨佳, 等, 2021.1961-2018年华南年和各季极端降水变化特征的比较分析[J].高原气象, 40(6): 1513-1530.DOI: 10.7522/j.issn.1000-0534.2021.zk001.Wei Z G , |
null | |
null | 叶梦姝, 2018.中国大气再分析资料降水产品在天气和气候中的适用性研究[D].兰州: 兰州大学.Ye M S, 2018.Research on the data applicability of precipitation in CRA-interim of climate and weather characters in China[D].Lanzhou: Lanzhou University. |
null | 袁良, 何金海, 2013.两类ENSO对我国华南地区冬季降水的不同影响[J].干旱气象, 31(1): 24-31.DOI: 10.11755/j.issn.1006-7639(2013)-01-0024.Yuan L , |
null | |
null | |
null | |
null | 郑菲, 李建平, 2012.前冬南半球环状模对春季华南降水的影响及其机理[J].地球物理学报, 55(11): 3542-3557.DOI: 10.6038/j.issn.0001-5733.2012.11.004.Zheng F , |
null |
/
〈 |
|
〉 |