doi:  10.3878/j.issn.1006-9585.2019.18139
1980~2017年厦门地区小时尺度极端降水特征分析

Characteristics of Extreme Hourly Precipitation inXiamen during 1980-2017
摘要点击 237  全文点击 119  投稿时间:2018-10-29  
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基金:  福建省气象局2019年度开放式基金项目2019KX03
中文关键词:  厦门  极端降水  逐时降水
英文关键词:  Xiamen  Extreme precipitation  Hourly precipitation
                 
作者中文名作者英文名单位
吴伟杰WU Weijie厦门市气象服务中心,福建厦门361012
郑伟鹏ZHENG Weipeng中国科学院大气物理研究所大气科学和地球流体力学数值模拟国家重点实验室,北京100029; 中国科学院大学地球与行星科学学院,北京100049
郑秀云ZHENG Xiuyun厦门市气象台,福建厦门361012
杨奇志YANG Qizhi厦门市集美区气象局,福建厦门361000
彭婕PENG Jie厦门市气象台,福建厦门361012
郭林GUO Lin厦门市气象灾害防御中心,福建厦门361012
引用:吴伟杰,郑伟鹏,郑秀云,杨奇志,彭婕,郭林.2019.1980~2017年厦门地区小时尺度极端降水特征分析[J].气候与环境研究,24(3):359-368,doi:10.3878/j.issn.1006-9585.2019.18139.
Citation:WU Weijie,ZHENG Weipeng,ZHENG Xiuyun,YANG Qizhi,PENG Jie,GUO Lin.2019.Characteristics of Extreme Hourly Precipitation inXiamen during 1980-2017[J].Climatic and Environmental Research(in Chinese),24(3):359-368,doi:10.3878/j.issn.1006-9585.2019.18139.
中文摘要:
      利用1980~2017年厦门逐小时降水资料和NCEP再分析资料,分析厦门地区极端降水事件的气候特征,并初步讨论其成因。研究结果表明:1)极端降水事件的年发生频率呈现减少的趋势,厦门岛的减少趋势要比内陆更为显著。2)小时尺度的极端降水事件在较小尺度空间内无论是发生频率还是强度都存在明显的区域性差异,内陆地区在发生频率和强度上均高于厦门岛,但强度的平均值一致。3)造成极端降水事件的天气系统有4类,分别是热带气旋型、冷式切变型、西南风气流型和低槽冷锋型。随着城市抗灾能力的提升,对极端降水预报的要求也不断提高,基于小时值的结论可以为未来厦门地区极端降水事件的预报提供参考基础,进而提升预报的有效性和针对性。
Abstract:
      Based on the hourly precipitation data and NCEP reanalysis data from 1980 to 2017, extreme precipitation events in Xiamen are analyzed to explore their climatic characteristics and related weather patterns. The results show the following: 1) Interannual variabilities show decreasing trends; the island exhibits a significant decreasing trend than the inland. 2) The extreme precipitation events have significant regional differences, the intensity and frequency of inland events are stronger than those of island events. However, the average intensities in both inland and island are the same. 3) The induced weather systems are categorized into four types, thase are the type of tropical cyclones, type of cold shear, type of south-west wind, and type of trough combined with cold front. With continuous development of the city, a more accurate extreme precipitation forecast is required. The results of this study are based on the hourly data, and it will possibly make the operational forecast more efficient.
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