Integration of the Total Lightning Jump Algorithm into Current Operational Warning Environment Conceptual Models

作者: Geoffrey T. Stano , Elise V. Schultz , Lawrence D. Carey , Steven J. Goodman , Rich Blakeslee

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摘要: The presence and rates of total lightning are both correlated to physically dependent upon storm updraft strength, mixed phase precipitation volume the size charging zone. modulates ingredients necessary for electrification within a thunderstorm, while also plays critical role in development severe hazardous weather. Therefore utilizing this relationship, monitoring jumps provides an additional piece information on evolution more often than not, at higher temporal resolution current operational radar systems. This correlation is basis jump algorithm that has been developed recent years. In order become viable option forecasters incorporate into their process, must be placed framework several conceptual models (e.g., evolution, morphology) which have built through training experience. Thus, one goals study examine relate concept used parameters dBZ vertical structure, VIL, MESH, MESO/shear) warning environment. Tying trends occurrences these based will provide with tool they can use build accurate realtime depiction as what going given Furthermore, relating could increase confidence decision already made, help tip scales whether or not warn storm, draw forecaster s attention particular rapidly developing. Furthermore add vital scale regions well covered by radar, when failures occur. physical relation dynamics microphysics key component further explored. Many studies examined flash volume, -sized ice mass, etc.; however, very few related manifestation weather using multi -Doppler polarimetric techniques. Therefore, second half combine techniques place dynamical framework. analysis includes examining such zone, strength volume. Such should increased understanding strengths limitations process.

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