Japan Geoscience Union Meeting 2018

Presentation information

[EE] Oral

A (Atmospheric and Hydrospheric Sciences) » A-AS Atmospheric Sciences, Meteorology & Atmospheric Environment

[A-AS01] High performance computing for next generation weather, climate, and environmental sciences

Sun. May 20, 2018 1:45 PM - 3:15 PM 302 (3F International Conference Hall, Makuhari Messe)

convener:Hiromu Seko(Meteorological Research Institute), Chihiro Kodama(Japan Agency for Marine-Earth Science and Technology), Masayuki Takigawa(独立行政法人海洋研究開発機構, 共同), Takemasa Miyoshi(RIKEN Advanced Institute for Computational Science), Chairperson:Seko Hiromu(Meteorological Research Institute), Takigawa Masayuki(Japan Agency for Marine-Earth Science and Technology)

3:00 PM - 3:15 PM

[AAS01-06] The simulations of the forest fire emission and its impact on the long-range transport of aerosols using the K computer

*Yousuke Yamashita1, Masayuki Takigawa1, Daisuke Goto2, Hisashi Yashiro3, Masaki Satoh4,1, Yugo Kanaya1, Fumikazu Taketani1, Takuma Miyakawa1 (1.Japan Agency for Marine-Earth Science and Technology, 2.National Institute for Environmental Studies, 3.RIKEN Advanced Institute for Computational Science (AICS), 4.Atmosphere and Ocean Research Institute, The University of Tokyo)

Keywords:forest fire emission, aerosol transport model

The large and continuous forest fire emission occurred around Lake Baikal in September 2016. The surface concentration of black carbon (BC) was observed at the “R/V Mirai” from August 2016 to September 2016 in Arctic Cruise (MR16-06), and the maximum BC concentration was detected in 25–26 September around Aleutian Islands. We perform the aerosol transport simulation using the Nonhydrostatic Icosahedral Atmospheric Model (NICAM) - SPRINTARS to determine the forest fire impacts on the long-range transport of BC and organic carbon (OC) from Lake Baikal to Aleutian Islands. The aerosol transport simulation with global 3D model requires larger computational resource than that with dynamical model, and we used K computer to perform NICAM-SPRINTARS simulations. The emission scheme of previous model used the constant injection height about 3 km. We replace the model’s injection height of forest fire events by the observational injection height using the CAMS Global Fire Assimilation System (GFAS) dataset. We also use the daily fire flux of BC, OC, and SO2 of GFAS. The model results of carbon concentration indicate the maximum in 25–26 September around Aleutian Islands, in agreements with the MR16-06 observation. Since the injection height of this events was about 2 km around Lake Baikal, the carbon concentration of new model is smaller than that of previous model (constant injection height about 3 km). In the NICAM-SPRINTARS, the high AOT area moves from Lake Baikal (9/21) to Aleutian Islands (9/25-26) through Northeast China (9/22-23) and the Sea of Okhotsk (9/23-24), in agreement with the Himawari-8 AOT observations provided from JAXA.