[A-CG41] Satellite Earth Environment Observation

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

*Makiko Nakata¹, Sonoyo Mukai² (1.Kindai University, 2.The Kyoto College of Graduate Studies for Informatics)

Keywords:GCOM-C/SGLI, regional chemical transport model, K3D-Jupyter, Radiative Transfer

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.