胡雅君,张伟,张玉轩,温龙. 2022. 闽南沿海2018—2019年季风爆发前后雨滴谱特征对比分析[J]. 气象学报, (0):-, doi:[doi]
闽南沿海2018—2019年季风爆发前后雨滴谱特征对比分析
Contrastive analysis of drop size distribution before and after monsoon onset of 2018-2019 in Southern coast of Fujian
投稿时间:2021-11-10  修订日期:2022-03-27
DOI:
中文关键词:  季风爆发,雨滴谱,Z-R关系
英文关键词:Monsoon onset, Drop size distribution, Z-R relationship
基金项目:国家自然科学基金(41905021);国家自然科学基金青年基金项目(41805028);福建省灾害天气重点实验室重大科技专项(2020BY08)共同资助
作者单位邮编
胡雅君 厦门市海峡气象开放重点实验室福建省灾害天气重点实验室翔安区气象局 361012
张伟 厦门市气象台厦门市海峡气象开放重点实验室 361012
张玉轩 厦门市气象台厦门市海峡气象开放重点实验室 361012
温龙 西昌卫星发射中心 615000
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中文摘要:
      [目的]为研究华南前汛期季风爆发前后闽南地区的雨滴谱特征差异,[资料和方法]利用2018—2019年厦门站和同安站4—6月的降水现象仪资料,对比分析了季风爆发前后闽南沿海层状云和对流云的雨滴谱分布和微物理参数差异。[结果]结果表明华南前汛期闽南沿海层状云降水占比明显高于对流云降水,但对流云降水的滴谱分布更宽,峰值粒径以上的各粒径区间粒子浓度均大于层状云降水。不论层状云还是对流云降水,2018年季风爆发后均表现为质量加权平均直径Dm减小,广义截距参数Nw增大。2019年季风爆发后Dm增大,层状云的Nw减小,对流云Nw增大。两年整体呈现相反的演变趋势。[结论]层状云的降水率R和液态水含量W的演变趋势与Nw一致,而对流云的R和W与Dm一致。闽南沿海雨滴谱微物理参数接近于华南沿海,与华东区域相比,整体浓度更高,粒子尺度略小。Z-R关系拟合表明季风爆发前后层状云与对流云的拟合系数、判定系数具有较大差异,其中对流云拟合效果相对更优。基于Z=300R1.4公式的定量降水估测对层状云降水和量级较小的对流云降水整体上存在不同程度的低估,对于量级较大的对流云降水存在高估。探讨了环流形势对雨滴谱的可能影响。结果表明绝对水汽含量可能会影响粒子数浓度,而西南风等动力条件和CAPE等热力条件会通过影响对流的高度和降水的微物理过程,进而可能会影响雨滴谱分布。
英文摘要:
      Data of precipitation phenomenometer of Xiamen and Tongan from April to June in 2018 and 2019 were used to analysis the difference of drop size distribution(DSD) and micro-physical parameters before and after monsoon onset in pre-flood season of South coast of Fujian. The results showed that the frequency of stratiform precipitation is significantly higher than convective precipitation. Spectrum width of convective precipitation is much larger than stratiform precipitation in every interval above peak value. Variation of the mass-weighted mean diameter(Dm) and the generalized intercept parameter(Nw) had opposite trend for 2018 and 2019. Dm decreased while Nw increased for both stratiform and convective precipitation after monsoon onset in 2018. Dm increased and Nw of stratiform precipitation decreased while convective precipitation increased after monsoon onset in 2019. Rain rate(R) and liquid water content(W) is consistent with Nw for stratiform precipitation while R and W of convective precipitation showed consistent trend with Dm. Micro physical parameter of Southern coast of Fujian showed consistent feature with southern coast of China while particle number concentration is higher but particle size is smaller compared with eastern China. Coefficient of Z-R relationship varied significantly for stratiform and convective precipitation with better fitting effect for convective precipitation. QPE based on Z=300R1.4 relationship would probably underestimate stratiform or weak convective precipitation, but most likely to overestimate strong convective precipitation. Circulation influence to DSD was discussed. Result indicated that specific humidity can affect particle concentration. Dynamic condition such as southwest wind and thermal condition such as CAPE can affect DSD through convection height and micro physical process of precipitation.
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