Amphibious transport (Red Alert 2)
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If imagery is zoomed in at an adequate range, actual weather satellite data can be superimposed. Included in VIPIR are algorithms [1] that analyze precipitation data in order to find signatures of severe thunderstorms, accumulation of rain or snow, and other weather patterns of interest. VIPIR automatically locates thunderstorms over the radar coverage area using algorithms analyzing the water content of each storm, its motion and wind fields. Storms are classified according red alert 2 robot storm modeling certain criteria and ranked.
The ones capable of producing a tornado are flagged by red or yellow cylinders according to the strength of the vortex as defined by the tornado vortex signature criteria similar to those the National Weather Service uses.
To do this, it uses the presence of a BWER in reflectivity and atmospheric rotation picked up by Doppler weather radar. It has an extrapolation feature to predict snowfall totals in excess of 24 hours in advance using meteorological computer model outputs. The algorithm, called Snow Machineforecasts several precipitation types: The BTI, a product that was recently introduced, is mainly used to determine the probability of the presence of a tornado or tornadoes inside a tornadic vortex signature on the rear flank of the storm, to better alert potential high risk areas for tornadoes and to easily track them.
With the help of radar data, mesoscale models and algorithms, it is measured on a scale of 0 to Red alert 2 robot storm modeling higher the BTI value is, the more likely a tornado is on the ground.
Shear markers from different colors are used with BTI values above 2. Yellow markers are used for values between 2 and 3. From Wikipedia, the free encyclopedia. Archived from the original on Red alert 2 robot storm modeling from " https: Radar meteorology Weather radars Huntsville, Alabama.
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