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Dive into the research topics where Shoji Kusunoki is active.

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Featured researches published by Shoji Kusunoki.


Journal of Climate | 2012

Future Changes in Tropical Cyclone Activity Projected by the New High-Resolution MRI-AGCM*

Hiroyuki Murakami; Yuqing Wang; Hiromasa Yoshimura; Ryo Mizuta; Masato Sugi; Eiki Shindo; Yukimasa Adachi; Seiji Yukimoto; Masahiro Hosaka; Shoji Kusunoki; Tomoaki Ose; Akio Kitoh

AbstractNew versions of the high-resolution 20- and 60-km-mesh Meteorological Research Institute (MRI) atmospheric general circulation models (MRI-AGCM version 3.2) have been developed and used to investigate potential future changes in tropical cyclone (TC) activity. Compared with the previous version (version 3.1), version 3.2 yields a more realistic simulation of the present-day (1979–2003) global distribution of TCs. Moreover, the 20-km-mesh model version 3.2 is able to simulate extremely intense TCs (categories 4 and 5), which is the first time a global climate model has been able to simulate such extremely intense TCs through a multidecadal simulation. Future (2075–99) projections under the Intergovernmental Panel on Climate Change (IPCC) A1B scenario are conducted using versions 3.1 and 3.2, showing consistent decreases in the number of TCs globally and in both hemispheres as climate warms. Although projected future changes in basin-scale TC numbers show some differences between the two versions, t...


Journal of Geophysical Research | 2009

Future change in wintertime atmospheric blocking simulated using a 20‐km‐mesh atmospheric global circulation model

Mio Matsueda; Ryo Mizuta; Shoji Kusunoki

[1] Future change in the frequency of atmospheric blocking is investigated through present-day (1979-2003) and future (2075-2099) simulations using 20-, 60-, 120-, and 180-km-mesh atmospheric general circulation models (AGCMs) under the Intergovernmental Panel on Climate Change Special Reports on Emission Scenarios A1B emission scenario, focusing on the Northern Hemisphere winter (December-February). The results of present-day climate simulations reveal that the AGCM with the highest horizontal resolution is required to accurately simulate Euro-Atlantic blocking, whereas the AGCM with the lowest horizontal resolution is in good agreement with reanalysis data regarding the frequency of Pacific blocking. While the lower-resolution models accurately reproduce long-lived Pacific blocking, they are unable to accurately simulate long-lived Euro-Atlantic blocking. This result suggests that the maintenance mechanism of Euro-Atlantic blocking is different from that of Pacific blocking. In the future climate simulations, both frequencies of Euro-Atlantic and Pacific blockings are predicted to show a significant decrease, mainly in the western part of each peak in present-day blocking frequency, where the westerly jet is predicted to increase in strength; no significant change is predicted in the eastern part of each peak. The number of Euro-Atlantic blocking events is predicted to decrease for almost all blocking durations, whereas the decrease in the number of Pacific blockings is remarkable for long-duration events. It is possible that long-lived (>25 days) Euro-Atlantic and Pacific blockings will disappear altogether in the future.


Climate Dynamics | 2012

Change in the precipitation intensity of the East Asian summer monsoon projected by CMIP3 models

Shoji Kusunoki; Osamu Arakawa

Future change in precipitation intensity of East Asian summer monsoon is investigated using the present-day climate simulations (1991–2000) and the future climate simulations (2091–2100, A1B emission scenario) by the Couple Model Intercomparison Project 3 (CMIP3) models. Target period is the month from June to July which is the main part of the rainy season over Japan and Korea. In the present-day climate simulations, we have quantitatively evaluated model’s reproducibility of precipitation climatology and Simple Daily precipitation Intensity Index (SDII), using skill S proposed by Taylor (J Geophys Res 106:7183–7192, 2001). Models with higher reproducibility of precipitation climatology tend to show higher reproducibility of precipitation intensity. In the future climate simulations, simple Multi-Model Ensemble (MME) average using all models show the increase of precipitation intensity over almost all regions of East Asia. Introduction of S as weighting factor does not make large difference in the geographical distribution of precipitation intensity change. In case of MME using five best models, the geographical pattern of precipitation intensity change is qualitatively similar to that using all models, but the local magnitude of changes are much affected by the best model. In order to interpret future change in precipitation climatology and SDII, we have calculated change in vertically integrated horizontal transport of moisture. Changes in precipitation climatology and SDII can be interpreted as the moisture convergence change associated with change in horizontal transport of moisture. Large moisture convergence was found due to either intensification or weakening of subtropical high depending on models.


Journal of Climate | 2015

Are CMIP5 Models Better than CMIP3 Models in Simulating Precipitation over East Asia

Shoji Kusunoki; Osamu Arakawa

AbstractThe performance of climate models participating in phases 5 and 3 of the Coupled Model Intercomparison Project (CMIP5 and CMIP3, respectively) is evaluated and compared with respect to precipitation over East Asia (20°–50°N, 110°–150°E). The target period covers the 20 years from 1981 through 2000. The CMIP5 and CMIP3 models underestimate precipitation amounts over East Asia in the warmer season (May–September), while they overestimate precipitation amounts in the colder season (October–April). Both sets of models have some difficulty in simulating the seasonal march of the rainy season over China, the Korean Peninsula, and Japan, and they also underestimate the precipitation intensity over East Asia. Nevertheless, the CMIP5 models show a higher reproducibility of precipitation over East Asia than the CMIP3 models with respect to the geographical distribution of precipitation throughout the year, seasonal march of the rainy season, and extreme precipitation events. Models with a higher reproducibi...


Hydrological Sciences Journal-journal Des Sciences Hydrologiques | 2007

A study of dynamical seasonal prediction of potential water resources based on an atmospheric GCM experiment with prescribed sea-surface temperature

Tosiyuki Nakaegawa; Shoji Kusunoki; Masato Sugi; Akio Kitoh; Chiaki Kobayashi; Kiyoharu Takano

Abstract The inter-annual variability and potential predictability of seasonal mean potentially available water resources (precipitation, P, minus evaporation, E), are investigated based on SST-forced ensemble dynamical seasonal atmospheric prediction using the Japan Meteorological Agency global model. High temporal correlations between the observed P—E and the model-ensemble average prediction of P—E are found in the central part of the USA for boreal winter and spring, and in eastern Brazil for boreal spring and summer, while a negative correlation is found in India for all seasons. The correlation in Siberia is low in all seasons, and that in Japan is high only in boreal winter. The P—E potential predictability is highest in the tropics and lower in the extra-tropics. High variance ratios exceeding 0.4 are confined to limited land areas. In addition to river basins where seasonal discharge predictions using statistical models were possible in previous works, the Congo, Mekong and Columbia rivers, were also found to be promising with high-potential predictability.


International Journal of Climate Change Strategies and Management | 2012

Rainfall and temperature scenario for Bangladesh using 20 km mesh AGCM

Md. Mizanur Rahman; Nazlee Ferdousi; Yasuo Sato; Shoji Kusunoki; Akio Kitoh

Purpose – The purpose of this paper is to demonstrate the use of the Meteorological Research Institute (MRI) global 20-km mesh Atmospheric General Circulation Model (AGCM), called MRI-AGCM, to simulate rainfall and mean surface air temperature. Through calibration and validation the MRI-AGCM was adapted for Bangladesh for generating rainfall and temperature scenarios. Design/methodology/approach – The model generated rainfall was calibrated with ground-based observed data in Bangladesh during the period of 1979-2006. The Climate Research Unit (CRU) data are also used for understanding of the model performance. Better performance of MRI-AGCM obtained through validation process increased confidence in utilizing it in the future rainfall projection for Bangladesh. Findings – Rainfall and mean surface air temperature projection for Bangladesh is experimentally obtained for the period of 2075-2099. This work finds that the MRI-AGCM simulated rainfall and temperature are not directly useful in application purpo...


Journal of The Meteorological Society of Japan | 2006

Tropical Cyclone Climatology in a Global-Warming Climate as Simulated in a 20 km-Mesh Global Atmospheric Model : Frequency and Wind Intensity Analyses

Kazuyoshi Oouchi; Jun Yoshimura; Hiromasa Yoshimura; Ryo Mizuta; Shoji Kusunoki; Akira Noda


Journal of The Meteorological Society of Japan | 2012

Climate Simulations Using MRI-AGCM3.2 with 20-km Grid

Ryo Mizuta; Hiromasa Yoshimura; Hiroyuki Murakami; Mio Matsueda; Hirokazu Endo; Tomoaki Ose; Kenji Kamiguchi; Masahiro Hosaka; Masato Sugi; Seiji Yukimoto; Shoji Kusunoki; Akio Kitoh


Journal of The Meteorological Society of Japan | 2006

20-km-Mesh Global Climate Simulations Using JMA-GSM Model : Mean Climate States

Ryo Mizuta; Kazuyoshi Oouchi; Hiromasa Yoshimura; Akira Noda; Keiichi Katayama; Seiji Yukimoto; Masahiro Hosaka; Shoji Kusunoki; Hideaki Kawai; Masayuki Nakagawa


Journal of The Meteorological Society of Japan | 2006

Change of Baiu Rain Band in Global Warming Projection by an Atmospheric General Circulation Model with a 20-km Grid Size

Shoji Kusunoki; Jun Yoshimura; Hiromasa Yoshimura; Akira Noda; Kazuyoshi Oouchi; Ryo Mizuta

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Akio Kitoh

Japan Meteorological Agency

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Hiromasa Yoshimura

Japan Meteorological Agency

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Akira Noda

Japan Agency for Marine-Earth Science and Technology

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Masato Sugi

Japan Agency for Marine-Earth Science and Technology

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Tomoaki Ose

Japan Meteorological Agency

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Hirokazu Endo

Japan Meteorological Agency

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Kazuyoshi Oouchi

Japan Agency for Marine-Earth Science and Technology

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Chiaki Kobayashi

Hong Kong Marine Department

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Seiji Yukimoto

Japan Meteorological Agency

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