An algorithm was developed to retrieve equivalent radar reflectivity from the Himawari-8 satellite of Japan Meteorological Agency with a view to enhancing precipitation nowcasting. Using several spectral bands of the Advanced Himawari Imager (AHI) onboard Himawari-8, two-dimensional equivalent radar reflectivity is derived using artificial neural network (ANN) based on past radar reflectivity data from a radar station in Hong Kong. Verification with a year of data shows that satellite derived reflectivity achieves a probability of detection over 70% at 24 dBZ threshold and over 40% at 33 dBZ threshold during daytime.
Simulated radar reflectivity from Himawari-8 during the passage of Super Typhoon Hato
Reference: Development of Satellite Reflectivity Retrieval Technique for Tropical Cyclone Rainfall Nowcasting