The invention discloses a method for improving a TCBL grey area scale
perception similarity function based on LES
simulation optimization, a medium and a program product, and aims to improve the prediction precision of a
numerical weather prediction model on a
tropical cyclone path and strength. According to the method, a high-resolution LES
simulation framework is constructed, a high-resolution reference
data set of TCBLs with different intensities is generated, scale turbulence
kinetic energy and secondary grid turbulence
kinetic energy are calculated and analyzed, and an improved grey area scale
perception similarity function is constructed based on multi-scale filtering and function fitting. The similarity function can more accurately represent the next grid turbulence characteristic of the gray region resolution, and the effectiveness of the similarity function in TC path and intensity prediction is verified by integrating the similarity function with a
numerical weather prediction model. According to the method, the
simulation precision of the model under the conditions of complex wind shearing and strong rotation is remarkably improved, the universality of the model is enhanced, important support is provided for weather forecast and
tropical cyclone research, and the method has wide scientific value and application prospects.