Japan Geoscience Union Meeting 2016

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International Session (Oral)

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

[A-AS02] High performance computing of next generation weather, climate, and environmental sciences using K

Mon. May 23, 2016 9:00 AM - 10:30 AM 102 (1F)

Convener:*Masaki Satoh(Atmosphere and Ocean Research Institute, The University of Tokyo), Masahide Kimoto(Atmosphere and Ocean Research Institute, The University of Tokyo), Kazuo Saito(Forecast Research Department, Meteorological Research Institute), Hiromu Seko(Meteorological Research Institute), Takemasa Miyoshi(RIKEN Advanced Institute for Computational Science), Tetsuro Tamura(Tokyo Institute of Technology), Hiroshi Niino(Dynamic Marine Meteorology Group, Department of Physical Oceanography, Atmosphere and Ocean Research Institute,The University of Tokyo), Masayuki Takigawa(Japan Agency for Marine-Earth Science and Technology), Hirofumi Tomita(AICS, RIKEN), Chihiro Kodama(Japan Agency for Marine-Earth Science and Technology), Chair:Masayuki Takigawa(Japan Agency for Marine-Earth Science and Technology)

9:15 AM - 9:30 AM

[AAS02-14] Assimilating Himawari-8 Brightness Temperature: A Case Study on Typhoon Soudelor (2015)

*Takumi Honda1, Guo-Yuan Lien1, Seiya Nishizawa1, Ryuji Yoshida1, Sachiho Adachi1, Koji Terasaki1, Kozo Okamoto2,1, Hirofumi Tomita1, Kotaro Bessho3, Takemasa Miyoshi1 (1.RIKEN Advanced Institute for Computational Science, 2.Meteorological Research Institute, 3.Meteorological Satellite Center)

The Japan Meteorological Agency started full operations of the new geostationary meteorological satellite “Himawari-8” in July 2015. Himawari-8 is the first of a series of the third-generation geostationary meteorological satellites including NOAA's GOES-R (planned for launch in 2016), producing about 50 times more data with more channels and 3 times more observing frequency than the previous generation. In August 2015, Himawari-8 successfully captured rapid intensification of Typhoon Soudelor (2015), the strongest northwestern Pacific typhoon in the summer of 2015 with minimum central pressure of 900 hPa. In this study, we assimilate brightness temperature from Himawari-8 using our new ensemble data assimilation system called “SCALE-LETKF” and investigate its impact on the analyses and forecasts of Soudelor.