17:15 〜 18:45
[MIS06-P06] 3D modeling of typhoon eye and eyewall clouds using microsatellite and its correlation to typhoon intensity
Tropical cyclones and torrential rains can cause significant damage and even lead to fatalities in affected areas. Therefore, accurately estimating the intensity of typhoons and heavy rainfall is crucial. The Dvorak method, which assesses typhoon intensity based on satellite observations of cloud formations, is currently prevalent. Regarding of heavy rainfall, research indicates that a higher cloud top altitude often correlates with increased rainfall. Thus, accurately determining the vertical cloud profile could improve predictions of both typhoon intensity and rainfall amounts. Satellite stereoscopy offers a method for measuring cloud top height that is not affected by variables such as cloud-top temperature, emissivity, or lapse rate, relying solely on the viewing angle of the satellite image. This study utilized images from Typhoons Mindulle (No. 16 in 2021) and Hinnamnor (No. 11 in 2022), captured by the Philippine microsatellite Diwata-2, to examine the relationship between typhoon intensity and the vertical profile of eyewalls. Using Agisoft Metashape, a 3D modeling software, we created Digital Elevation Maps (DEMs) to assess these profiles. This study found a significant positive correlation between the cloud-top height of Mindulle's eyewall and the DT number variations indicating the typhoon intensity reported by the Japan Meteorological Agency, with correlation coefficients ranging from 0.56 to 0.79. Moreover, applying corrections to the DEM for the September 29 Mindulle case, using dropsonde data from the T-PARC II project, resulted in a reduced scale of deviation and enhanced accuracy of cloud top height.