日本地球惑星科学連合2018年大会

講演情報

[EJ] ポスター発表

セッション記号 A (大気水圏科学) » A-AS 大気科学・気象学・大気環境

[A-AS06] 大気化学

2018年5月23日(水) 13:45 〜 15:15 ポスター会場 (幕張メッセ国際展示場 7ホール)

コンビーナ:岩本 洋子(広島大学 生物圏科学研究科)、中山 智喜(長崎大学 大学院水産・環境科学総合研究科)、豊田 栄(東京工業大学物質理工学院、共同)、江口 菜穂(Kyushu University)

[AAS06-P24] Estimation of the transport pathways of black carbon aerosols emitted from Siberian fire in 2016

*山口 将大1滝川 雅之1宮川 拓真1竹谷 文一1金谷 有剛1 (1.国立研究開発法人海洋研究開発機構)

キーワード:ブラックカーボン、化学輸送、北極、森林火災、モデルシミュレーション

Black carbon aerosol (BC) emitted from incomplete combustion processes such as fossil fuel and biomass burning. BC is recognized as one of a factor affecting the climate change by IPCC. We try to understand the dynamics of atmospheric BC to elucidate the changes in the arctic climate and environment. We have to identify the sources and pathways of BC observed in the arctic region to make a correct estimate. Accordingly, as a trial, we inferred transport pathways of BC emitted by forest fires over Siberia from ship-based observation and model simulations with regional mask.
We had conducted model simulations over the Pan-Arctic region using a regional chemical transport model (WRF-Chem version 3.8.1). The initial and lateral boundary conditions for the meteorology and chemical species were taken from NCEP-GFS and MOZART-4, respectively. RACM and GOCART modules were used for the gaseous and aerosol chemistry, with a slightly modification to include OH dependency for the aging and in-cloud wet deposition of BC process based on Liu et al. (2011). Anthropogenic emissions were based on EDGAR 4.2, and the biomass burning were based on the near-real-time version of FINN for each day. A pyro-convection process was also considered for the estimation of vertical profiles of biomass burning emissions. Biogenic emissions of VOCs were estimated by MEGAN 2.1 which is included in the model to use the meteorology and radiation calculated in the model for each time step. To estimate the impact of Siberian fire on the concentration of BC, we have conducted two calculations (full emission and without biomass burning emission over Siberia) from August to October in 2016.
Model simulation results were compared with the observational data from the ship-based observation on R/V Mirai at the Arctic Ocean and Bering Sea. The model generally captured the variation of BC concentration in arctic region. High contribution of Siberian biomass burning was suggested especially in late September through the sensitivity analyses.