Tiny particles in the atmosphere, such as sea salt from the ocean and dust from deserts, can affect Earth's temperature and cloud formation. These particles, known as aerosols, also play an important role in weather and climate prediction. Satellites can observe aerosols using thermal infrared signals, which detect heat emitted by Earth. However, the models used to interpret these signals often assume that aerosol particles are perfectly round. In reality, many aerosols have irregular shapes, and this mismatch can lead to inaccurate results. In this study, we developed a new computer model called RTM-SuperAero that better represents the true shapes and sizes of sea salt and dust particles. This model is based on real-world data collected from ground stations around the world and includes more realistic descriptions of how aerosols behave in the atmosphere. We tested RTM-SuperAero using satellite data from several marine dust events and compared the results with standard models. The novel model significantly reduced errors, making the satellite measurements much more accurate. This work helps improve how satellites detect aerosols and contributes to better weather forecasts and climate studies by providing more reliable information about what's happening in the atmosphere.