This invention discloses a method and
system for
wind shear line identification and movement path prediction based on two-dimensional wind vectors, belonging to the field of
lidar meteorological detection technology. The method includes using a variational
algorithm to invert radial
wind speed data into two-dimensional horizontal wind
vector field data; setting an orthogonal vector detection window to calculate the two-dimensional composite vector difference to filter vector shear feature segments; extracting the core points of vector abrupt changes to reconstruct the
wind shear line to construct a
comparison area; and determining the dynamic guidance zone driving the movement of each local
shear line segment based on the two-dimensional horizontal wind
vector field data within the
comparison area. The
spatial displacement vector is determined based on the average two-dimensional wind vector of the corresponding area of the dynamic guidance zone, and the corresponding local
shear line segments are translated, extrapolated, and spliced based on the
spatial displacement vector to output the future movement path trajectory of the
wind shear line. This invention solves the problems of easy missed detection in one-dimensional radial detection and failure of wind
shear line identification and movement path prediction in
radar blind zones in traditional methods.