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Remote velocity measurements of atmospheric inhomogeneities by imaging and statistical data processing

Image data-handling technique using a Statistical Approach for measuring the velocity of inhomogeneities drifting in the atmosphere is suggested. Velocity measurements of imaged cloud fields have been conducted by gathering time-spatial realizations at equal time intervals. Properly selected data are used to develop the temporary instabilities for fixed dots of the field. The coordinates of the minimum value for every temporary instabilities are fixed. The cross-correlation function of two imaged cloud fields round these coordinates is calculated. The modules and the direction of the velocity vector are sets by the position of the global correlation maximum.