Project Members

■Feasibility study on very-short-range severe weather prediction by big data assimilation

	Takemasa Miyoshi	Data Assimilation Research Team, RIKEN R-CCS
	We will develop the LETKF ensemble data assimilation systems based on the SCALE model and Japan Meteorological Agency Nonhydrostatic Model (JMANHM) at a 100-m resolution, and will assimilate observation data from the phased array weather radars and next-generation geostationary satellite to prove the concept of big data assimilation for very-short-range severe weather prediction.

Shigenori Otsuka	Data Assimilation Research Team, RIKEN R-CCS
Yasumitsu Maejima	Data Assimilation Research Team, RIKEN R-CCS
Takumi Honda	Data Assimilation Research Team, RIKEN R-CCS
Guo-Yuan Lien	Data Assimilation Research Team, RIKEN R-CCS
Taeka Awazu	Data Assimilation Research Team, RIKEN R-CCS
James Taylor	Data Assimilation Research Team, RIKEN R-CCS
Hideyuki Sakamoto	Data Assimilation Research Team, RIKEN R-CCS
Marimo Ohhigashi	Data Assimilation Research Team, RIKEN R-CCS
Kohei Takatama	Data Assimilation Research Team, RIKEN R-CCS
Juan Ruiz	Data Assimilation Research Team, RIKEN R-CCS
Hiromu Seko	2nd Lab, Forecast Research Department, MRI, JMA
Takuya Kawabata	2nd Lab, Forecast Research Department, MRI, JMA
Kozo Okamoto	2nd Lab, Typhoon Research Department, MRI, JMA
Michiko Otsuka	2nd Lab, Forecast Research Department, MRI, JMA
Yohei Sawada	2nd Lab, Forecast Research Department, MRI, JMA
Masahiro Hayashi	1st Lab, Meteorological Satellite and Observation System Research Department, MRI, JMA
Yoshito Yoshizaki	Meteorological Satellite Center, JMA
Masaya Takahashi	Meteorological Satellite Center, JMA
Hiroshi Suzue	Meteorological Satellite Center, JMA
Kenji Date	Meteorological Satellite Center, JMA
Ken-ichi Nonaka	Meteorological Satellite Center, JMA
Haruma Ishida	Meteorological Satellite Center, JMA
Hiromi Owada	Meteorological Satellite Center, JMA
Shiro Ohmori	Meteorological Satellite Center, JMA
Kentaro Yamamoto	Meteorological Satellite Center, JMA
Akihito Umehara	Meteorological Satellite Center, JMA
Takumi Maruyama	Meteorological Satellite Center, JMA

■Study on reproducibility of severe local storms by a super high resolution eddy resolving atmospheric model

	Hirofumi Tomita	Computational Climate Science Research Team, RIKEN R-CCS
	The next generation atmospheric model SCALE-LES is under development, and will be used for simulations of local weather. In particular, we will perform simulations with grid spacing of less than 100 m to investigate reproducibility of local severe storms. This model will be used for the development of numerical weather prediction system with phased array weather radars and the next generation HIMAWARI satellite.

Hisashi Yashiro	Computational Climate Science Research Team, RIKEN R-CCS
Ryuji Yoshida	Computational Climate Science Research Team, RIKEN R-CCS
Tsuyoshi Yamaura	Computational Climate Science Research Team, RIKEN R-CCS
Seiya Nishizawa	Computational Climate Science Research Team, RIKEN R-CCS
Sachiho Adachi	Computational Climate Science Research Team, RIKEN R-CCS
Kenta Sueki	Computational Climate Science Research Team, RIKEN R-CCS

■Development of high-speed quality control and data processing techniques for phased array weather radar and Doppler lidar

	Shinsuke Satoh	Applied Electromagnetic Research Institute, NICT
	The phased array weather radar produces 100 times larger data than conventional radars. On the other hand, appropriate signal processing is needed to remove various noises in the observed signals. We will develop a rapid signal processing system to remove noises and transfer the “Science Big Data” to the forecast center so that the data assimilation system can utilize the data in real time.

Hironori Iwai	Applied Electromagnetic Research Institute, NICT
Hiroshi Hanado	Applied Electromagnetic Research Institute, NICT
Tetsuya Sano	Applied Electromagnetic Research Institute, NICT

■Optimizing observation methods of phased array weather radar

	Tomoo Ushio	Faculty of System Design, Tokyo Metropolitan University
	The X-band phased array Doppler radar has been installed to Osaka University Suita Campus in June 2012. TOSHIBA and Osaka University were commissioned by NICT for the development of the state-of-the-art weather radar with rapid scan capability. We will investigate the optimal operation methods for very-short-range severe weather prediction by testing various radar beam scheduling.

Taku Suezawa	Faculty of System Design, Tokyo Metropolitan University
Hiroshi Yamasuge	Faculty of System Design, Tokyo Metropolitan University
Naoya Takizawa	Faculty of System Design, Tokyo Metropolitan University
Shuhei Uchida	Faculty of System Design, Tokyo Metropolitan University
Kento Nakamura	Faculty of System Design, Tokyo Metropolitan University
Atsuya Onuki	Faculty of System Design, Tokyo Metropolitan University
Taihei Uchida	Faculty of System Design, Tokyo Metropolitan University

■Development of inter-job parallel communication system and observation data archiving/distributing system

	Yutaka Ishikawa	Exascale computing project, RIKEN R-CCS
	Data assimilation system runs a numerical weather prediction model and a data assimilation program alternatingly, and communication between the two are designed to use the file system. However, it is necessary to communicate without disk I/O to perform real-time high-resolution data assimilation cycles every 30 seconds. We will develop a middleware to enable the programs to communicate directly without changing the current application programs. We will also develop a rapid data transfer system between the observation sites and the computer center.

Balazs Gerofi	Exascale computing project, RIKEN R-CCS
Martsinkevich Tatiana	Exascale computing project, RIKEN R-CCS

Member | Big Data Assimilation