Optimizing Limb Correction and AI Methods for ATMS Imagery Visualization across Multiple Bands

The Advanced Technology Microwave Sounder (ATMS) sensor data records (SDRs) product are assimilated for weather forecasts and used to derive environment data records (EDRs) products. Meanwhile, ATMS imagery, derived from SDR product, offers snapshots of weather events, like the warm core of a hurricane. However, its coarse resolution and angular dependence have long been a challenge for improving image visualization. Given these challenges, we have proposed a method which combined limb-correction algorithm and AI resolution enhancement to improve ATMS imagery visualization for bands 16, 18 and 19 [1]. This study further optimized the method and aimed to apply it to most of ATMS bands.