Challenge toward the prediction of typhoon behaviour and down pour

K. Takahashi, R. Onishi, Y. Baba, Shinichiro Kida, K. Matsuda, K. Goto, H. Fuchigami

Research output: Contribution to journalConference article

11 Citations (Scopus)

Abstract

Mechanisms of interactions among different scale phenomena play important roles for forecasting of weather and climate. Multi-scale Simulator for the Geoenvironment (MSSG), which deals with multi-scale multi-physics phenomena, is a coupled non-hydrostatic atmosphere-ocean model designed to be run efficiently on the Earth Simulator. We present simulation results with the world-highest 1.9km horizontal resolution for the entire globe and regional heavy rain with 1km horizontal resolution and 5m horizontal/vertical resolution for urban area simulation. To gain high performance by exploiting the system capabilities, we propose novel performance evaluation metrics introduced in previous studies that incorporate the effects of the data caching mechanism between CPU and memory. With a useful code optimization guideline based on such metrics, we demonstrate that MSSG can achieve an excellent peak performance ratio of 32.2% on the Earth Simulator with the single-core performance found to be a key to a reduced time-to-solution.

Original languageEnglish
Article number012072
JournalJournal of Physics: Conference Series
Volume454
Issue number1
DOIs
Publication statusPublished - Jan 1 2013
Externally publishedYes
Event24th IUPAP Conference on Computational Physics, IUPAP-CCP 2012 - Kobe, Japan
Duration: Oct 14 2012Oct 18 2012

Fingerprint

simulators
predictions
ocean models
globes
rain
high gain
weather
forecasting
climate
simulation
atmospheres
physics
optimization
evaluation
interactions

All Science Journal Classification (ASJC) codes

  • Physics and Astronomy(all)

Cite this

Takahashi, K., Onishi, R., Baba, Y., Kida, S., Matsuda, K., Goto, K., & Fuchigami, H. (2013). Challenge toward the prediction of typhoon behaviour and down pour. Journal of Physics: Conference Series, 454(1), [012072]. https://doi.org/10.1088/1742-6596/454/1/012072

Challenge toward the prediction of typhoon behaviour and down pour. / Takahashi, K.; Onishi, R.; Baba, Y.; Kida, Shinichiro; Matsuda, K.; Goto, K.; Fuchigami, H.

In: Journal of Physics: Conference Series, Vol. 454, No. 1, 012072, 01.01.2013.

Research output: Contribution to journalConference article

Takahashi, K, Onishi, R, Baba, Y, Kida, S, Matsuda, K, Goto, K & Fuchigami, H 2013, 'Challenge toward the prediction of typhoon behaviour and down pour', Journal of Physics: Conference Series, vol. 454, no. 1, 012072. https://doi.org/10.1088/1742-6596/454/1/012072
Takahashi, K. ; Onishi, R. ; Baba, Y. ; Kida, Shinichiro ; Matsuda, K. ; Goto, K. ; Fuchigami, H. / Challenge toward the prediction of typhoon behaviour and down pour. In: Journal of Physics: Conference Series. 2013 ; Vol. 454, No. 1.
@article{03b6e8f7a7b444a3817450228bf27adf,
title = "Challenge toward the prediction of typhoon behaviour and down pour",
abstract = "Mechanisms of interactions among different scale phenomena play important roles for forecasting of weather and climate. Multi-scale Simulator for the Geoenvironment (MSSG), which deals with multi-scale multi-physics phenomena, is a coupled non-hydrostatic atmosphere-ocean model designed to be run efficiently on the Earth Simulator. We present simulation results with the world-highest 1.9km horizontal resolution for the entire globe and regional heavy rain with 1km horizontal resolution and 5m horizontal/vertical resolution for urban area simulation. To gain high performance by exploiting the system capabilities, we propose novel performance evaluation metrics introduced in previous studies that incorporate the effects of the data caching mechanism between CPU and memory. With a useful code optimization guideline based on such metrics, we demonstrate that MSSG can achieve an excellent peak performance ratio of 32.2{\%} on the Earth Simulator with the single-core performance found to be a key to a reduced time-to-solution.",
author = "K. Takahashi and R. Onishi and Y. Baba and Shinichiro Kida and K. Matsuda and K. Goto and H. Fuchigami",
year = "2013",
month = "1",
day = "1",
doi = "10.1088/1742-6596/454/1/012072",
language = "English",
volume = "454",
journal = "Journal of Physics: Conference Series",
issn = "1742-6588",
publisher = "IOP Publishing Ltd.",
number = "1",

}

TY - JOUR

T1 - Challenge toward the prediction of typhoon behaviour and down pour

AU - Takahashi, K.

AU - Onishi, R.

AU - Baba, Y.

AU - Kida, Shinichiro

AU - Matsuda, K.

AU - Goto, K.

AU - Fuchigami, H.

PY - 2013/1/1

Y1 - 2013/1/1

N2 - Mechanisms of interactions among different scale phenomena play important roles for forecasting of weather and climate. Multi-scale Simulator for the Geoenvironment (MSSG), which deals with multi-scale multi-physics phenomena, is a coupled non-hydrostatic atmosphere-ocean model designed to be run efficiently on the Earth Simulator. We present simulation results with the world-highest 1.9km horizontal resolution for the entire globe and regional heavy rain with 1km horizontal resolution and 5m horizontal/vertical resolution for urban area simulation. To gain high performance by exploiting the system capabilities, we propose novel performance evaluation metrics introduced in previous studies that incorporate the effects of the data caching mechanism between CPU and memory. With a useful code optimization guideline based on such metrics, we demonstrate that MSSG can achieve an excellent peak performance ratio of 32.2% on the Earth Simulator with the single-core performance found to be a key to a reduced time-to-solution.

AB - Mechanisms of interactions among different scale phenomena play important roles for forecasting of weather and climate. Multi-scale Simulator for the Geoenvironment (MSSG), which deals with multi-scale multi-physics phenomena, is a coupled non-hydrostatic atmosphere-ocean model designed to be run efficiently on the Earth Simulator. We present simulation results with the world-highest 1.9km horizontal resolution for the entire globe and regional heavy rain with 1km horizontal resolution and 5m horizontal/vertical resolution for urban area simulation. To gain high performance by exploiting the system capabilities, we propose novel performance evaluation metrics introduced in previous studies that incorporate the effects of the data caching mechanism between CPU and memory. With a useful code optimization guideline based on such metrics, we demonstrate that MSSG can achieve an excellent peak performance ratio of 32.2% on the Earth Simulator with the single-core performance found to be a key to a reduced time-to-solution.

UR - http://www.scopus.com/inward/record.url?scp=84885631603&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84885631603&partnerID=8YFLogxK

U2 - 10.1088/1742-6596/454/1/012072

DO - 10.1088/1742-6596/454/1/012072

M3 - Conference article

AN - SCOPUS:84885631603

VL - 454

JO - Journal of Physics: Conference Series

JF - Journal of Physics: Conference Series

SN - 1742-6588

IS - 1

M1 - 012072

ER -