1) wet Q vector divergence
湿Q矢量散度
2) wet Q vector divergence field
湿Q矢量散度场
3) Q vector divergence
Q矢量散度
1.
Using NCEP 1°× 1°reanalyzed data, a heavy rain process occurred in south seacoast of Zhejiang province caused by the eastly wave on August 3~4 in 2001 was analyzed, including its evolution and the cause of cyclonic vortex emerged by the eastly wave with Q vector divergence.
根据Q矢量散度分析讨论了这次过程中的暴雨演变以及东风波诱生中尺度低涡发生发展的原因。
4) Q-vector divergence
Q矢量散度
1.
Diagnosis fields such as 850 hPaQ-vector divergence and frontgenesis function in 11 torrential rain cases are analyzed, disclosing the distribution characteristics of Q-vector divergence field and frontgenesis function field, as well as the space-time relationship between the main weather system on the middle and low layers in troposphere and belt of torrential rain.
应用 Q矢量理论对 1998年广西 6月 16~ 2 6日连续性暴雨过程进行诊断分析 ,共分析了 11个时次的 85 0h Pa Q矢量散度、锋生函数等诊断场 ,揭示了广西“98。
5) front of Q vector divergence
Q矢量散度梯度
6) wet Q vector
湿Q矢量
1.
Based on the final analysis data of NCEP,the rainstorm occurred in Dengfeng on March 3,2007 is analyzed from the following aspects: dynamic and thermal energy conditions,water-vapor transportation,wet Q vector and so on.
利用NCEP提供的再分析资料(Global Final Analyses),对2007年3月3日登封市大到暴雨天气过程从动力和热力条件、水汽输送、湿Q矢量等方面进行分析,结果表明:这次降水过程的两个主要降水时段都出现在次级环流的垂直运动上升区内;暴雨过程中登封上空中低层维持一高能区;温度平流值陡降,导致这次降水过程结束和强降温天气的发生;整个暴雨过程登封维持着通畅的水汽通道和较强的水汽辐合,水汽辐合中心区对应降水集中时段。
2.
A heavy rain process of the Changjiang-Huaihe Meiyu front (MYF) is diagnosed by the agency of the traditional Q vector partitioning (QVP) method to decompose the wet Q vector (Q) in a natural coordinate system that follows the isoentropes and by using the numerical simulation results of the revised MM4 meso-scale model.
采用传统的Q矢量分解方法将湿Q矢量(Q*)分解在沿等位温线的自然坐标系中,并结合改进的MM4模式(MMM4)模拟资料,对一次江淮梅雨锋暴雨过程进行诊断分析。
3.
With non-adiabatic latent heating completely considered and based on a primitive equation, derived are an expression of the modified wet Q vector (Q*)(hereafter termed QM) and a non-geostrophic ω equation wherein the QM divergence is taken as a forcing term with a diagnosis comparison of QM to Q* in the context of a Meiyu front synoptic process.
在完全考虑非绝热加热项潜热作用的前提下,从原始方程出发,推导出改进后的湿Q矢量(以下记为Q~M)的表达式以及用其散度作强迫项的ω方程,并结合一次梅雨锋暴雨天气过程将改进前、后的湿Q矢量诊断能力进行比较,结果发现:(1)改进后的湿Q矢量对同时刻的地面降水的反映能力较原湿Q矢量(Q~*)有显著的提高。
补充资料:散度
分子式:
CAS号:
性质:信息量的一种量度。若随机变量试验前后的概率分布分别为Pk和qk,当Pk为qk所取代后,其信息量或散度为
CAS号:
性质:信息量的一种量度。若随机变量试验前后的概率分布分别为Pk和qk,当Pk为qk所取代后,其信息量或散度为
说明:补充资料仅用于学习参考,请勿用于其它任何用途。
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