| 江苏省连阴雨过程时空分布特征分析 |
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| 引用本文： | 项瑛,程婷,王可法,李进喜,唐红昇.江苏省连阴雨过程时空分布特征分析[J].气象科学,2012,32(S1):36-39. |
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| 作者姓名： | 项瑛 程婷 王可法 李进喜 唐红昇 |
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| 作者单位： | 江苏省气候中心, 南京 210008;江苏省信息中心, 南京 210008;江苏省气候中心, 南京 210008;江苏省信息中心, 南京 210008;江苏省信息中心, 南京 210008 |
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| 基金项目： | 江苏省气象局开放基金项目(K201007) |
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| 摘 要： | 通过综合各地连阴雨指标因子, 确定了江苏省连阴雨过程的标准, 根据指标体系, 对其时空分布特征进行了分析, 得出江苏省年均连阴雨次数为12.3次, 连阴雨的空间分布存在着明显的北少南多的特征, 可见沿江苏南地区为连阴雨的频发地区。其中从对农作物危害程度来看, 主要是春季连阴雨(3—5月)和秋季连阴雨(9—11月)影响较大, 这两个时段连阴雨过程发生次数较多, 分别为年均3.1和2.7次, 其中春季3月和秋季9月的连阴雨出现次数最多。为了进一步定量评估连阴雨的强度, 我们设计了连阴雨强度指数模型, 对强度指数MLYY进行了分级, 实施了对连阴雨强度的进一步把握, 更好地为决策部门提供了服务。
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| 关 键 词： | 连阴雨 指标因子 时空分布 强度模型 |
The analysis on spatial and temporal distribution features of continuous rain in Jiangsu |
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| XIANG Ying,CHENG Ting,WANG Kef,LI Jinxi and TANG Hongsheng.The analysis on spatial and temporal distribution features of continuous rain in Jiangsu[J].Scientia Meteorologica Sinica,2012,32(S1):36-39. |
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| Authors: | XIANG Ying CHENG Ting WANG Kef LI Jinxi and TANG Hongsheng |
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| Institution: | Jiangsu Climate Centre, Nanjing 210008, China;Jiangsu Information Centre, Nanjing 210008, China;Jiangsu Climate Centre, Nanjing 210008, China;Jiangsu Information Centre, Nanjing 210008, China;Jiangsu Information Centre, Nanjing 210008, China |
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| Abstract: | Based on the comprehensive index factor of continuous rain we identified the standard process of continuous rain in Jiangsu province. Based on the index system and its temporal and spatial distribution analysis, we concluded that annual average number of continuous rain in Jiangsu province is 12.5, it is much less in north than in south, showing that continuous rain frequently occurred in south Jiangsu along the Yangtze River. Continuous rain in spring (March-May) and in autumn (September-November) causes main damage to the crops. The average number the of continuous rain is 3.1 and 2.7, respectively, with the peak value in March and September. In order to further quantitatively evaluate strength of continuous rain, we designed continuous rain intensity model, identified the continuous rain intensity index model, classified the strength index MLYY, and provided policymakers with a better service. |
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| Keywords: | Continuous rain Index factor Spatio-temporal distribution Intensity model |
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