This application provides a
radar echo extrapolation and
thunderstorm / strong wind
data processing method, apparatus, and electronic device based on
optical flow, relating to the field of meteorological forecasting. The method includes: acquiring
radar base data of a target area over a continuous historical period to generate a corresponding
radar reflectivity factor
image sequence; inputting the preprocessed
radar reflectivity factor image into an
optical flow calculation model to obtain a dense
optical flow field; calculating the vorticity field and
divergence field based on the dense optical flow field; stitching and fusing the
radar reflectivity factor image, optical flow field, vorticity field, and
divergence field at the same historical moment to form a multi-feature fused spatiotemporal sequence data; inputting the spatiotemporal sequence data into a pre-trained spatiotemporal
sequence prediction model to output prediction results for a future preset time period; and generating and outputting a short-term
thunderstorm / strong
wind forecast product. This method can more accurately capture the nonlinear evolution of the micro-
scale structure of
thunderstorm / strong wind systems, significantly improving the accuracy of extrapolation forecasts.