34th Conference on Radar Meteorology

P1.1

Study of Nowcasting & Warning Operational System in Middle Yangtze River and its Technology

Yufa Wan, Institute of Heavy Rain, Wuhan, Hubei, China; and Z. Wang, Y. Xiao, J. Zhang, C. Wu, J. Wang, and T. Wu

Abstract

In order to meet the need for operational forecasting of the strong convective weather events in China, MYNOS(Nowcasting & warning Operational System in Middle Yangtze river), an advanced and useful modern nowcasting system, is originally built up by utilizing the world's advanced nowcasting experience as a reference, and by combining new-generation radar technology with the data from satellite remote sensing and numerical weather prediction. Several advanced techniques and methods are developed and adopted as follows: 1) Quality control of radar reflectivity field and the precipitation echo classification are achieved by identifying the structures of the vertical gradient and horizontal textures of radar reflectivity echoes. 2) The technique is studied and developed for real time formation of Vertical Profile of Reflectivity (VPR) of radar echoes, and is used for vertical calibration of precipitation reflectivity factor. 3) Important concepts of “quasi-same rain volume sample” and “hourly equivalent reflectivity” are proposed, and the synchronously integrated technique of radar and raingauge (RASIM) is established. 4) The Cell Gravity Potential Energy, as an important physical component of radar for describing the life span of storms, is proposed. And the technique for automatic identification and tracking of severe weather is developed by means of radar derived parameters and the mesoscale output of physical parameters. 5) The multi-scale characteristics of storm echoes through their life course are analyzed and the echo filtering technique is studied, and the multi-scale precipitation nowcasting confined to the life time of each scale echo is realized. 6) Potential forecasting products for severe convection meteorological phenomena (torrential rain, hail, thunderstorm, etc.) are developed based on numerical models and fuzzy logics. 7) The problem of image registration and animation in ordinary GIS(Geographic Information System) is solved, and the nowcasting workstation equipped with the function of GIS along with numerical prediction, radar, satellite, lightning data and various quantitative monitoring, forecasting and warning products is developed from the bottom. The experiments and application in recent three years show that the system is a stable and powerful supporting platform for nowcasting which can automatically produce objective products with great illustration and analysis abilities.

Keywords: severe storm, quantitative detection, automatic identification, nowcasting system

Poster Session 1, Nowcasting
Monday, 5 October 2009, 1:30 PM-3:30 PM, President's Ballroom

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