The invention relates to an artificial
precipitation enhancement operation area identification method and
system based on multi-
source data, and relates to the technical field of meteorological intervention operation, and the method comprises the steps: building a multi-resolution
dynamic data grid system, and enabling a coarse-grained grid layer to cover the whole operation area, and to be used for bearing the
macro data of a
satellite cloud picture and a conventional
radar; the
fineness grid layer is used for receiving and mapping real-
time data provided by the high-resolution
radar; receiving real-
time data of all cloud blocks, mapping the real-
time data to corresponding grid
layers, and projecting the data collected at different time points to a unified time
reference frame to obtain a cloud
system state view; predictive interpolation is carried out by using the latest data of the conventional
radar and the macroscopic trend of the
satellite cloud picture in combination with the
motion vector and confidence weighting so as to obtain cloud
system information; and forming a visual cloud system three-dimensional view, identifying and tracking a target cloud block with an artificial
precipitation enhancement potential, and generating an operation instruction. The method has the effect that the target cloud block with the operation value can be identified and tracked to generate the accurate operation instruction.