AENN: A GENERATIVE ADVERSARIAL NEURAL NETWORK FOR WEATHER RADAR ECHO EXTRAPOLATION

This study develops a new retrieval model called DORF to estimate cloud optical thickness and effective radius using satellite data and a radiative transfer model. Results show cloud vertical structure, especially ice clouds above water clouds, can mask signals and cause errors. Changes in water content at different heights affect reflectance and retrievals, especially for small particles. Understanding these effects improves weather and climate forecasts.