Japan Geoscience Union Meeting 2016

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International Session (Poster)

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

Sun. May 22, 2016 5:15 PM - 6:30 PM Poster Hall (International Exhibition Hall HALL6)

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)

5:15 PM - 6:30 PM

[AAS02-P04] Convective-scale breeding experiments in WRF simulations at a 100-m resolution

*Shigenori Otsuka1, Takemasa Miyoshi1 (1.RIKEN Advanced Institute for Computational Science)

Keywords:cumulus convection, breeding, predictability

Recent developments in high-performance computing and advanced observing technologies enable us to step forward to convective-scale data assimilation at a horizontal resolution of O(100) m. On the other hand, previous studies on predictability have been conducted with horizontal resolutions of several kilometers (e.g., Leoncini et al. 2010; Melhauser and Zhang 2012; Keil et al. 2014). Understanding the convective-scale predictability plays an essential role in designing such high-resolution NWP systems. In particular, it would be important to know what would be the effective temporal frequency of data assimilation, whether or not it needs to be the order of seconds. This study performs 30-second breeding cycles at a 100-m resolution using the Weather Research and Forecasting (WRF) model, and explores the convective-scale predictability. Sensitivity to the rescaling interval and threshold is investigated. Breeding experiments at horizontal resolutions of 500 m and 2.5 km are also performed to reveal the resolution dependency of growing modes.