1) PV inversion
位涡反演
1.
With the 1°×1° NCEP reanalysis data and the ground surface rainfall data,using the potential vorticity(PV) analysis and PV inversion methodology,the evolution of main synoptic systems,and corresponding PV and PV perturbations(or PV anomalies) and their relationship with heavy rainfall along the meiyu front are analyzed in order to i.
文中利用1°×1°NCEP再分析资料、位涡诊断和位涡反演的方法,详细分析了梅雨锋演变过程中主要天气系统的变化,位涡和位涡扰动(位涡异常)与梅雨锋及梅雨锋带上强降水之间的关系,并通过分离位涡扰动的方法探讨了与不同物理过程有关的位涡扰动在梅雨锋发生发展中的作用。
2.
Potential vorticity inversion (hereafter, referred as PV inversion) technology is regarded to be successful in distinguishing the above two modes of motion.
位涡反演这一技术在正确区分上述两种运动方面显示出非常强的的应用价值。
3.
With the confirmation of the importance of the potential vorticity inversion (hereafter, referred as PV inversion) technology, the authors point out this technology have deficiency in meso-scale systems research and the higher-order PV inversion operator needs to be developed for these issues.
在充分肯定位涡反演重要性的前提下指出该技术应用于中尺度研究的不足,要准确反演中尺度系统还有待于发展高阶位涡反演算子。
2) Ertel potential vorticity inversion
Ertel位涡反演
3) Piecewise potential vorticity inversion
分部位涡反演
1.
Using meso-scale model MM5 and piecewise potential vorticity inversion technology, the evolution and formation mechanism of a meso-βconvective system (MCS) embedded in the Meiyu front on 9 June 2008 are investigated.
在对2008年6月9日发生在皖浙赣地区的梅雨锋中β尺度对流系统模拟的基础上,应用高分辨率的MM5模式输出资料和分部位涡反演分析方法,对这个中β尺度对流系统(MCS)进行了诊断分析。
5) Potential field inversion
位场反演
1.
The paper compares the features and mechanism of Back-propagation neural networks(BPNN)with that of Hopfield neural networks(HNN),then their application effects in potential field inversion.
比较了BP、Hopfield二种神经网络模型的特性及其运行机制,分别用于位场反演,还比较了各自在位场反演中的应用效果。
补充资料：寄杜位（顷者与位同在故严尚书幕）
【诗文】：
寒日经檐短，穷猿失木悲。峡中为客恨，江上忆君时。
天地身何在，风尘病敢辞。封书两行泪，沾洒裛新诗。
【注释】：
【出处】：
全唐诗：卷231_57
寒日经檐短，穷猿失木悲。峡中为客恨，江上忆君时。
天地身何在，风尘病敢辞。封书两行泪，沾洒裛新诗。
【注释】：
【出处】：
全唐诗：卷231_57
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条