首页> 外文期刊>Journal of Geophysical Research, D. Atmospheres: JGR >Differences in deep convective transport characteristics between quasi-isolated strong convection andmesoscale convective systems using seasonal WRF simulations
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Differences in deep convective transport characteristics between quasi-isolated strong convection andmesoscale convective systems using seasonal WRF simulations

机译:使用季节WRF模拟的准隔离强对流系统和中尺度对流系统之间的深对流输运特性差异

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We utilize the Weather Research and Forecasting (WRF) model with chemistry to simulate mass transport during the 2007 convective season in the U.S. Southern Great Plains at convection-allowing scale. Resolved storms are classified using an object-based classification scheme. This scheme uses model-derived radar reflectivity to classify storm type as quasi-isolated strong convection (QISC) or mesoscale convective system (MCS). Differences between QISCs and MCSs are investigated by analysis of two transport parameters for each convective object: the level of maximum detrainment (LMD) and the detrainment mass flux. Analysis of the mean LMD showed differences between the two regimes is statistically significantly different in May, as the mean QISC LMD is 440 m higher than the mean MCS LMD in May, and statistically insignificant in July where the mean QISC LMD is only 350 m higher. The detrainment flux per deeply convective object showed statistically significant differences between the two regimes in both May (MCS 4.8 times greater than QISC) and July (MCS 6.8 times greater than QISC). Over the entire study period, MCS storms accounted for 72% of the total mass detrainment, even though QISCs were twice as common as MCSs. However, differences in the detrainment flux per unit area of deep convection showed that QISCs exhibited stronger flux (1.1 times greater) than MCSs in both months. Analysis of tropopause-relative LMDs showed that QISCs detrained the maximum amount of mass closer to the tropopause altitude than MCSs for both months. However, only in May is the difference statistically significant (430 m closer).
机译:我们利用化学化学的天气研究与预报(WRF)模型来模拟美国南部大平原在2007年对流季节内以对流允许尺度进行的大规模运输。使用基于对象的分类方案对已解决的风暴进行分类。该方案使用基于模型的雷达反射率将风暴类型分类为准隔离强对流(QISC)或中尺度对流系统(MCS)。通过分析每个对流物体的两个输运参数来研究QISC和MCS之间的差异:最大减量水平(LMD)和减量质量通量。对平均LMD的分析表明,五月份两种情况之间的差异在统计学上有显着差异,因为平均QISC LMD比5月份的平均MCS LMD高440 m,而在7月份则无统计学意义,那里的QISC LMD仅高350 m 。每个深对流物体的脱轨通量显示,在两种情况下,5月(MCS为QISC的4.8倍)和7月(MCS为QISC的6.8倍)之间的统计显着差异。在整个研究期间,尽管QISC的数量是MCS的两倍,但MCS风暴占总质量消耗的72%。但是,深对流每单位面积的减磁通量的差异表明,在两个月中,QISC的通量都比MCS强(1.1倍)。对对流层顶相对LMD的分析表明,两个月期间,QISC比MCS降低了更接近对流层顶高度的最大质量。但是,仅在5月,差异才具有统计意义(更接近430 m)。

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