The Wind, Speed of Coriolis

Speed of Coriolis

Where:
λ = constant of feigenbaum
a = diameter of observed object
c = speed of light
w = angular velocity in radians of the object
r = radius of the object to be calculated
v = Linear velocity of te object
u = speed of secondary object (Ex. Fotons reflecting to the observer, a satellite)

According to Coriolis and meteorology, in the wind discipline, have the Coriolis force that serves to make predictions of rotational objects and it is a pseudo force that kinda pushes the clouds, I equated that speed through the relation between linear velocity and rotational, but "vulgarly" is the wind itself the abstraction of this equation. Show! I got something new, by studing scissors I arrived at the cone of probability of the wind.

Well this equation will work very well in meteorological satellites, since measuring mass with light, but analyzing a video, frame by frame and making the probability, in a computer with artificial intelligence, of the earth could predict by the rotation of the masses the probable area that the object to be pushed by the wind will be. And the wind itself being abstract is the relation between the rotation of the earth and the linear movement of the gaseous masses.

That is it, we equate the wind. I`m sharing with you because it is a beautiful equation.

The equation:

"Speed of Coriolis, or The wind":

(d'')/(t'')=((v+(u-v)/(1-(u.v)/(c^(2))))/(1+ (v*(u-v)/(1- (u.v)/(c^(2))))/(c^(2)))+((4wr)/(π sqrt(1-w^(2)r^(2)c^(2))))/(2π))*(((2π-λ)/(λ))*(a))

wind by a satellite = (lorentz transformations + 4 angular velocity by satellite / 2pi) * (2pi - feigenbaum / feigenbaum) * (diameter of object) = cone of probabillity.

A meteorogical satellite + AI could predict precissely many weather events with this.
It is an abstract equation but i hope you enjoy it!