17:15 〜 18:30
[ACG34-P04] GCOM-C/SGLIを用いた2018-2020年における林野火災エアロゾル光学的特性の解析
キーワード：GCOM-C、しきさい、SGLI、林野火災、エアロゾル、放射強制力
It is known that wildfires not only damage land ecosystems, but also have a great impact on the atmospheric environment due to the release of large amounts of CO2, aerosols and so on. Greenhouse gases such as CO2 are well known to have positive radiative forcing, however, aerosols from wildfires have both positive and negative radiation forcing potentials, which can perturb the global radiation balance. Therefore, it is important to investigate the aerosol optical characteristics of wildfires and estimate their radiative forcing in order to predict the future climatic impacts by wildfires.
GCOM-C (Global Change Observation Mission - Climate) called “SHIKISAI”, which is JAXA polar-orbit satellite, has been launched on 23 December 2017. In this work, we analyze the world’s wildfires that occurred after 2018 with the GCOM-C products. By comparing the characteristics of aerosols such as aerosol optical thickness (AOT), aerosol angstrom exponent (AE), and aerosol single scattering albedo (SSA), we visualize the difference between wildfire events. According to the results, we can suggest that the values of AE seem to depend on the latitude of the fire location. In addition, the values of SSA also slightly different for each event, which might be caused by the differences of the land cover and/or human activity and the like. In the future, we plan to estimate the radiative forcing for each event in order to understand the direct and indirect effects of wildfire aerosols.
GCOM-C (Global Change Observation Mission - Climate) called “SHIKISAI”, which is JAXA polar-orbit satellite, has been launched on 23 December 2017. In this work, we analyze the world’s wildfires that occurred after 2018 with the GCOM-C products. By comparing the characteristics of aerosols such as aerosol optical thickness (AOT), aerosol angstrom exponent (AE), and aerosol single scattering albedo (SSA), we visualize the difference between wildfire events. According to the results, we can suggest that the values of AE seem to depend on the latitude of the fire location. In addition, the values of SSA also slightly different for each event, which might be caused by the differences of the land cover and/or human activity and the like. In the future, we plan to estimate the radiative forcing for each event in order to understand the direct and indirect effects of wildfire aerosols.