日本地球惑星科学連合2025年大会

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セッション記号 M (領域外・複数領域) » M-IS ジョイント

[M-IS04] Extreme Weather and Water-Related Disasters in Asia

2025年5月30日(金) 13:45 〜 15:15 101 (幕張メッセ国際会議場)

コンビーナ:久保田 尚之(北海道大学)、佐藤 光輝(北海道大学 大学院理学研究院)、Basconcillo Joseph(Philippine Atmospheric, Geophysical and Astronomical Services Administration)、Rahayu Harkunti Pertiwi(Institute Technology of Sumatera)、座長:久保田 尚之(北海道大学)、Joseph Basconcillo(Philippine Atmospheric, Geophysical and Astronomical Services Administration)


14:45 〜 15:00

[MIS04-05] Analysis of 2021 Tropical Cyclone Mindulle Stereophotogrammetry Using Diwata-2 Microsatellite and Dropsonde Data

*Meryl Regine Llenaresas Algodon1Yukihiro Takahashi2Hisayuki Kubota2Mitsuteru Sato2 (1.Department of Science and Technology - Advanced Science and Technology Institute、2.Hokkaido University)

キーワード:Tropical Cyclone, Stereophotogrammetry, 3D modeling , Microsatellite, Typhoon

The cloud-top altitude of a tropical cyclone (TC), especially from the eye to the eyewall, is a key indicator of its intensity. Studies show that this altitude varies with the cyclone's strength, with the most significant changes occurring in this region, while other areas remain relatively flat near the tropopause.

On September 29, 2021, Diwata-2, the Philippines' second Earth observation microsatellite, captured a series of images of TC Mindulle. At the same time, an aircraft conducted dropsonde measurements around the cyclone.

In this study, we used these satellite images to build a stereo-photogrammetric 3D model of TC Mindulle. From this model, we derived the relative cloud-top altitudes and overlaid them onto Himawari-8 satellite imagery to estimate the dropsonde deployment locations. This combination allowed us to calculate the actual cloud-top altitudes.

Our approach produces a high-resolution 3D model of the cyclone using satellite images alone, with dropsonde data enhancing the accuracy of altitude estimates. We also extracted cross-sections of the model and compared them with cloud-top altitude estimates from Himawari-8 thermal infrared data for validation.

This study was supported by the Grant-in-Aid for Scientific Research 21H04992 (PI: Kazuyoshi Tsuboki, Nagoya University) and T-PARCII (Tropical Cyclones-Pacific Asian Research Campaign for Improvement of Intensity Estimations/Forecasts). The authors would like to express their gratitude to the Philippine Space Agency and the Diwata-2 operations team for providing the satellite images. Special thanks also go to Prof. Hiroyuki Yamada of the University of the Ryukyus for his valuable contributions.