[1]梁岱云,黄丹萍,苏兆达.2022年南宁市“龙舟水”暴雨期间模式对比及订正技巧[J].气象研究与应用,2023,44(01):51-56.[doi:10.19849/j.cnki.CN45-1356/P.2023.1.09]
 Liang Daiyun,Huang Danping,Su Zaoda.Comparative Analysis of numerical models and revision techniques for the rainstorms in Nanning during the dragon-boat precipitation period in 2022[J].Journal of Meteorological Research and Application,2023,44(01):51-56.[doi:10.19849/j.cnki.CN45-1356/P.2023.1.09]
点击复制

2022年南宁市“龙舟水”暴雨期间模式对比及订正技巧()
分享到:

气象研究与应用[ISSN:1673-8411/CN:45-1356/P]

卷:
第44卷
期数:
2023年01期
页码:
51-56
栏目:
龙舟水专刊
出版日期:
2023-03-15

文章信息/Info

Title:
Comparative Analysis of numerical models and revision techniques for the rainstorms in Nanning during the dragon-boat precipitation period in 2022
作者:
梁岱云 黄丹萍 苏兆达
南宁市气象局, 南宁 530029
Author(s):
Liang Daiyun Huang Danping Su Zaoda
Nanning Meteorological Bureau, Nanning 530029, China
关键词:
“龙舟水”暴雨预报数值模式对比订正技巧
Keywords:
dragon-boat precipitationrainstorm forecastnumerical mode comparisonrevision techniques
分类号:
P458.1+21.1
DOI:
10.19849/j.cnki.CN45-1356/P.2023.1.09
摘要:
2022年广西出现1960年以来最强"龙舟水",但同期南宁市降雨分布不均,暴雨预报空漏报较多。因此,有必要对2022年"龙舟水"期间南宁市暴雨过程的数值模式与实况降水进行对比分析,总结各模式对"龙舟水"暴雨的预报能力;并通过分析雷达回波、物理量等资料以提高预报员订正技巧。结果表明,中尺度模式对暖区或沿海地形的暴雨有一定预报能力,但需注意消空;南宁暴雨漏报的原因主要是忽视了触发机制、高低层系统相互作用和降雨发生机制,空报的原因主要与数值预报的影响系统预报偏差有关;"龙舟水"期间南宁暴雨的雷达回波路径主要有四种,预判回波源地和移动路径对暴雨落区的短期预报有一定的帮助;"龙舟水"期间南宁市上空不稳定能量及水汽条件较好,应加强触发机制的分析。
Abstract:
In 2022, the strongest dragon-boat precipitation since 1960 occurred in Guangxi, but the rainfall distribution in Nanning was uneven, and there were many missed reports in the rainstorm forecast. Therefore, it is necessary to compare and analyze the numerical models and the actual precipitation of this heavy rainfall process to summarize the forecasting ability of each model for the heavy rainfall in Nanning City during the dragon-boat rainy period in 2022. And the information on radar echoes and physical quantities are also analyzed to improve the forecasters’ revision skills. The results show that the mesoscale model has a certain forecast ability for a rainstorm in warm regions or coastal topography, but it still needs to pay attention to the nulling. The main reasons for the un-reported rainstorm forecast in Nanning are mainly the neglect of the triggering mechanism, interactions between high-level and low-level systems and the rainstorm occurrence mechanism, while the reason for the empty forecast of a rainstorm is mainly related to the biased of the impact system forecast of the numerical models. Besides, there are four main radar echo paths of a rainstorm in Nanning during the dragon-boat rainy period. Predicting the source and moving path of the radar echo is helpful for the short-term forecasting of the rainfall area. The unstable energy and water vapor conditions over Nanning City are good during the dragon-boat rainy period, hence the analysis of the triggering mechanism should be strengthened.

参考文献/References:

[1] 郭圳勉,简茂球,张弘豪,等.广东“龙舟水”降水分型分析[J].广东气象,2016,38(6):6-11.
[2] 梁晓媛,翁佳烽,肖伟军,等.广州市“龙舟水”的时空分布特征分析[J].广东气象,2021,43(2):25-28.
[3] 胡娅敏,杜尧东,罗晓玲.近49年华南“龙舟水”的降水分型[J].气象,2013,39(8):1031-1041.
[4] 伍红雨,李春梅,王迪龙.近55年广东“龙舟水”异常特征及成因分析[J].热带气象学报,2017,33(5):608-616.
[5] 钱维宏,艾阳,陈绿文,等. 一次广东典型龙舟水暴雨过程的扰动形势分析[J]. 热带气象学报,2020,36(4):433-443.
[6] 陈涛,陈博宇,于超,等.华南前汛期锋面对流系统和暖区对流系统的多尺度特征和集合预报敏感性对比分析[J].气象, 2020, 46(9):1129-1142.
[7] 冯晓玲.柳州一次前汛期大暴雨过程的综合分析[J].气象研究与应用,2020,41(增刊):5-8.
[8] 张凌云,刘蕾.柳州2020年一次“龙舟水”成因及预报偏差分析[J].气象研究与应用,2022,43(3):67-71.
[9] 刘蕾,张凌云,陈茂钦,等. 南海夏季风爆发前后柳州地区前汛期南风型暖区暴雨特征[J]. 气象与环境学报,2018,34(1):38-44.
[10] 王艳兰,伍静,唐桥义,等.2019年6月桂林三次强降水天气成因对比分析[J].暴雨灾害, 2020, 39(2):136-147.
[11] 李向红,庞传伟,梁维亮,等.孟加拉湾旺盛对流作为广西连续暴雨的前兆信号特征分析[J]. 气象,2015,41(11):1383-1389.
[12] 黄滢,黄春华,刘金裕,等.广西一次持续性暖区暴雨特征及成因分析[J].气象研究与应用,2022,43(3):50-55.
[13] 黄卓帆,梁岱云,李紫甜,等.2020年南宁"5·11"暴雨成因初探及可预报性分析[J].气象研究与应用,2022,43(3):56-61.
[14] 蓝柳茹,刘蕾,苏小玲.2019年5月柳州一次预报失误的大暴雨成因与预报分析[J].农业灾害研究,2021,11(6):25-29.
[15] 陈绍河,蒋承志,林文桦,等.广西防城港山区"6.16"大暴雨成因机制及数值模式误差分析[J].气象研究与应用,2022,43(3):93-97.

相似文献/References:

[1]覃卫坚,何莉阳,蔡悦幸,等.近30年华南地区“龙舟水”暴雨研究进展[J].气象研究与应用,2023,44(01):1.[doi:10.19849/j.cnki.CN45-1356/P.2023.1.01]
 Qin Weijian,He Liyang,Cai Yuexing,et al.Research progress of dragon-boat precipitation in South China in the past 30 years[J].Journal of Meteorological Research and Application,2023,44(01):1.[doi:10.19849/j.cnki.CN45-1356/P.2023.1.01]
[2]刘国忠,覃月凤,覃卫坚,等.2022年广西极端“龙舟水”暴雨过程环境场特征分析[J].气象研究与应用,2023,44(01):7.[doi:10.19849/j.cnki.CN45-1356/P.2023.1.02]
 Liu Guozhong,Qin Yuefeng,Qin Weijian,et al.Analysis of environmental field characteristics of an extreme dragon-boat precipitation process in Guangxi in 2022[J].Journal of Meteorological Research and Application,2023,44(01):7.[doi:10.19849/j.cnki.CN45-1356/P.2023.1.02]
[3]廖胜石,陆甲,罗小莉.2022年“龙舟水”持续暴雨过程与夏季风关系初探[J].气象研究与应用,2023,44(01):14.[doi:10.19849/j.cnki.CN45-1356/P.2023.1.03]
 Liao Shengshi,Lu Jia,Luo Xiaoli.A preliminary study on the relationship between the summer monsoon and the dragon-boat continuous rainstorm in Guangxi in 2022[J].Journal of Meteorological Research and Application,2023,44(01):14.[doi:10.19849/j.cnki.CN45-1356/P.2023.1.03]
[4]李向红,张雅昕,周希源,等.2022年桂林“龙舟水”降水特征及形成机制分析[J].气象研究与应用,2023,44(01):26.[doi:10.19849/j.cnki.CN45-1356/P.2023.1.05]
 Li Xianghong,Zhang Yaxin,Zhou Xiyuan,et al.Precipitation characteristics and formation mechanism of the dragon-boat precipitation in Guilin in 2022[J].Journal of Meteorological Research and Application,2023,44(01):26.[doi:10.19849/j.cnki.CN45-1356/P.2023.1.05]
[5]陆芊芊,黄卓,郑凤琴,等.2022年广西“龙舟水”暴雨灾害风险评估和检验[J].气象研究与应用,2023,44(01):39.[doi:10.19849/j.cnki.CN45-1356/P.2023.1.07]
 Lu Qianqian,Huang Zhuo,Zheng Fengqin,et al.Risk assessment and examination of heavy rainfall disasters during the dragon-boat rainy season in Guangxi in 2022[J].Journal of Meteorological Research and Application,2023,44(01):39.[doi:10.19849/j.cnki.CN45-1356/P.2023.1.07]
[6]邓悦,李艳萍,卓健,等.2022年桂北“龙舟水”期间融合降水实况产品的真实性检验[J].气象研究与应用,2023,44(01):44.[doi:10.19849/j.cnki.CN45-1356/P.2023.1.08]
 Deng Yue,Li Yanping,Zhuo Jian,et al.Authentic assessment of several merged precipitation products process during the dragon-boat precipitation period in northern Guangxi in 2022[J].Journal of Meteorological Research and Application,2023,44(01):44.[doi:10.19849/j.cnki.CN45-1356/P.2023.1.08]
[7]何莉阳,周秀华,赖晟,等.2022年广西最强“龙舟水”气候成因分析[J].气象研究与应用,2023,44(01):70.[doi:10.19849/j.cnki.CN45-1356/P.2023.1.12]
 He Liyang,Zhou Xiuhua,Lai Sheng,et al.Analysis on the cause of the strongest dragon-boat precipitation in Guangxi in 2022[J].Journal of Meteorological Research and Application,2023,44(01):70.[doi:10.19849/j.cnki.CN45-1356/P.2023.1.12]
[8]黄雪松,李妍君,何洁琳,等.广西2022年“龙舟水”期间极端暴雨特征及强度分析[J].气象研究与应用,2023,44(01):76.[doi:10.19849/j.cnki.CN45-1356/P.2023.1.13]
 Huang Xuesong,Li Yanjun,He Jielin,et al.Characteristics and intensity analysis of the extreme dragon-boat precipitation in Guangxi in 2022[J].Journal of Meteorological Research and Application,2023,44(01):76.[doi:10.19849/j.cnki.CN45-1356/P.2023.1.13]
[9]韦靖,汤耀国,毛家燊,等.桂北一次极端强降雨过程宏微观物理特征分析[J].气象研究与应用,2023,44(01):81.[doi:10.19849/j.cnki.CN45-1356/P.2023.1.14]
 Wei Jing,Tang Yaoguo,Mao Jiashen,et al.Analysis on macro-microscopic physical characteristics of an extreme rainfall process in northern Guangxi[J].Journal of Meteorological Research and Application,2023,44(01):81.[doi:10.19849/j.cnki.CN45-1356/P.2023.1.14]
[10]周坤论,黄剑钊,王玮,等.柳州2022年“龙舟水”过程一次降水的雨滴谱特征分析[J].气象研究与应用,2023,44(01):87.[doi:10.19849/j.cnki.CN45-1356/P.2023.1.15]
 Zhou Kunlun,Huang Jianzhao,Wang Wei,et al.Analysis of the raindrop spectrum characteristics of a dragon-boat precipitation process in Liuzhou city in 2022[J].Journal of Meteorological Research and Application,2023,44(01):87.[doi:10.19849/j.cnki.CN45-1356/P.2023.1.15]

备注/Memo

备注/Memo:
收稿日期:2022-11-25。
基金项目:广西气象科研计划项目"首府南宁极端降水预报技术及应对措施研究"(桂气科2022M13)
作者简介:梁岱云(1972-),女,理学学士,高级工程师,主要从事灾害性天气预报与研究。E-mail:1037314711@qq.com
更新日期/Last Update: 1900-01-01