日本地球惑星科学連合2025年大会

講演情報

[E] ポスター発表

セッション記号 A (大気水圏科学) » A-CG 大気海洋・環境科学複合領域・一般

[A-CG41] 衛星による地球環境観測

2025年5月29日(木) 17:15 〜 19:15 ポスター会場 (幕張メッセ国際展示場 7・8ホール)

コンビーナ:沖 理子(宇宙航空研究開発機構)、本多 嘉明(千葉大学環境リモートセンシング研究センター)、松永 恒雄(国立環境研究所地球環境研究センター/衛星観測センター)、高橋 暢宏(名古屋大学 宇宙地球環境研究所)

17:15 〜 19:15

[ACG41-P10] Structural investigation of smoke generated by wildfires using SGLI

*中田 真木子1、向井 苑生2 (1.近畿大学、2.京都情報大学院大学)

キーワード:GCOM-C/SGLI、領域化学輸送モデル、K3D-Jupyter、放射伝達

Wildfires occur in many areas and have a significant impact on the surrounding environment. Because fires release large amounts of heat, the plume generated is buoyant and generates a strong updraft. The vertical structure of smoke from wildfires is complex. Three-dimensional information such as the extent and height of biomass burning aerosol (BBA) plumes is an important indicator of the scale and impact of wildfires. We present the retrieved results of BBA plume characteristics by the second generation global imager (SGLI) on board the Japan Aerospace Exploration Agency’s Global Change Observation Mission-Climate (JAXA/GCOM-C) satellite, regional scale numerical chemical transport model simulations, three dimensional visualization with K3D-Jupyter, and radiative transfer calculations. SGLI is a 19-channel multispectral sensor with wavelengths ranging from UV to thermal infrared (IR), including red and near-IR polarization channels. Our recent work demonstrates that these features of the SGLI are useful for characterizing BBAs. In this work, we focus on the large forest fire occurred in western North America. This event has typical mountain terrain features with unique BBA plume. The height of BBA plume is estimated by using 2- directional SGLI data. The BBA characteristics retrieved from SGLI data through radiative transfer calculation have been validated by the NASA/AERONET data. Small particles predominate in the upper part of the BBA plume. The CTM simulation shows that the BBA plume, initially blocked by the mountains, causes long-range advection riding the upper air flow as the fire intensifies and rises above the height of the mountains. Here we show that the BBA plume can be better understood by integrating use of regional chemical transport model, image analysis, and light scattering calculations, in addition to the utilization of SGLI's characteristic satellite data.