NICAM publication list by theme

Please check publication list by year for complete list.

• Tomita, H. (2009): Analysis of Spurious Surface Temperature at the Atmosphere-Land Interface and a New Method to Solve the Surface Energy Balance Equation. J. Hydorometeor. 10. 833-844.
• Tomita, H., K. Goto, M. Satoh, 2008: A new approach of atmospheric general circulation model - Global cloud resolving model NICAM and its computational performance -. SIAM, J. Sci. Comput., 30, 2755-2776; DOI. 10.1137/070692273.
• Tomita, H. (2008a) : A stretched grid on a sphere by new grid transformation. J. Meteor. Soc. Japan, 86A, 107-119.
• Tomita, H. (2008b) : New microphysical schemes with five and six categories by diagnostic generation of cloud ice. J. Meteor. Soc. Japan, 86A, 121-142.
• Satoh, M., T. Matsuno, H. Tomita, H. Miura, T. Nasuno, S. Iga, (2008) : Nonhydrostatic Icosahedral Atmospheric Model (NICAM) for global cloud resolving simulations. Journal of Computational Physics, the special issue on Predicting Weather, Climate and Extreme events, 227, 3486-3514, doi:10.1016/j.jcp.2007.02.006.
• Satoh, M. (2007) : A road to a global nonhydostatic model. Tenki, 54.9 769-772.
• Iga, S., Tomita, H., Satoh, M., Goto, K. (2007) : Mountain-wave-like spurious waves due to inconsistency of horizontal and vertical resolution associated with cold fronts. Mon. Wea. Rev., 135, 2629-2641.
• Satoh, M.(2006) : Climate research on a next generation global cloud-resolving model. Parity, 21, 56-57. (in Japanese)
• Tomita, H., 2006: Development of nonhydrostatic atmospheric general circulation model using an icosahedral grid. (in japanese) Nagare, 25, 181-186.
• Satoh, M., Tomita, H, Miura, H., Iga, S., and Nasuno, T. (2005) : Development of a global cloud resolving model – a multi-scale structure of tropical convections –. J. Earth Simulator, vol.3, 11-19.
• Tomita, H. and Satoh, M. (2004) : A new dynamical framework of nonhydrostatic global model using the icosahedral grid. Fluid Dyn. Res., 34, 357-400. DOI:10.1016/j.fluiddyn.2004.03.003
• Satoh, M. (2003) : Conservative scheme for a compressible nonhydrostatic model with moist processes. Mon. Wea. Rev., 131, 1033-1050
• Satoh, M. (2002) : Conservative scheme for the compressible nonhydrostatic models with the horizontally explicit and vertically implicit time integration scheme. Mon. Wea. Rev., 130, 1227-1245
• Satoh,M., Tomita,M., Tsugawa,M. (2002) : Development of a global nonhydrostatic model. Gekkan Kaiyo, 34, 101-106 (in Japanese)
• Tomita,H., Tsugawa,M., Satoh,M., Goto, K.(2001) : Shallow water model on a modified icosahedral geodesic grid by using spring dynamics. J. Comp. Phys., 174, 579-613
• Satoh, M., Tomita, H., Tsugawa, M., Xiao, F. (2001) Development of a next generation atmospheric general circulation model at Frontier Research System for Global Change. (in japanese) Nagare, 20, 37-46

• Seiki, T., Roh, W., Satoh, M., 2022: Cloud Microphysics in Global Cloud Resolving Models. Atmosphere Ocean. https://doi.org/10.1080/07055900.2022.2075310
• Noda, A. T., Seiki, T., Roh, W., Satoh, M. and Ohno, T., 2021: Improved representation of low-level mixed-phase clouds in a global cloud-system-resolving simulation. J. Geophys. Res.: Atmosphere, 126, e2021JD035223, https://doi.org/10.1029/2021JD035223 (first published 2021/08/17; accepted 2021/08/11).
• Roh, W., Satoh, M., Hohenegger, C., 2021: Intercomparison of cloud properties in DYAMOND simulations over the Atlantic Ocean. J. Meteorol. Soc. Japan, doi:10.2151/jmsj.2021-070. (accepted 2021/07/28).
• Seiki, T., Roh, W., 2020: Improvements in super-cooled liquid water simulations of low-level mixed-phase clouds over the Southern Ocean using a single-column model. J. Atmos. Sci., 77, 3803-3819, https://doi.org/10.1175/JAS-D-19-0266.1 (accepted: 2020/08/19; EOR published: 2020/08/25; on line published: 2020/10/21).
• Roh, W., Satoh, M., Hashino, T., Okamoto, H., Seiki, T., 2020: Evaluations of the thermodynamic phases of clouds in a cloud system-resolving model using CALIPSO and a satellite simulator over the Southern Ocean. J. Atmos. Sci., 77, 3781-3801, https://doi.org/10.1029/2020MS002138 (accepted 2020/07/27; EOR published 2020/08/06; online published 2020/10/21).
• Roh, W., Satoh, M., Nasuno, T., 2017: Improvement of a cloud microphysics scheme for a global nonhydrostatic model using TRMM and a satellite simulator. J. Atmos. Sci., 74, 167-184. https://dx.doi.org/10.1175/JAS-D-16-0027.1 (2016/10/05; 2017/01/04 published)
• Kodama C., A. T. Noda, and M. Satoh, An Assessment of the cloud signals simulated by NICAM using ISCCP, CALIPSO, and CloudSat satellite simulators, J. Geophys. Res, doi:10.1029/2011JD017317.
• Tomita, H. (2008b) : New microphysical schemes with five and six categories by diagnostic generation of cloud ice. J. Meteor. Soc. Japan, 86A, 121-142.

• Seiki, T., Roh, W., 2020: Improvements in super-cooled liquid water simulations of low-level mixed-phase clouds over the Southern Ocean using a single-column model. J. Atmos. Sci., 77, 3803-3819, https://doi.org/10.1175/JAS-D-19-0266.1 (accepted: 2020/08/19; EOR published: 2020/08/25; on line published: 2020/10/21).
• Roh, W., Satoh, M., Hashino, T., Okamoto, H., Seiki, T., 2020: Evaluations of the thermodynamic phases of clouds in a cloud system-resolving model using CALIPSO and a satellite simulator over the Southern Ocean. J. Atmos. Sci., 77, 3781-3801, https://doi.org/10.1029/2020MS002138 (accepted 2020/07/27; EOR published 2020/08/06; online published 2020/10/21).
• Kuba, N.,T. Seiki, K. Suzuki, W. Roh, and M. Satoh, (2020): Evaluation of rain microphysics using a radar simulator and numerical models: Comparison of two‐moment bulk and spectral bin cloud microphysics schemes. Journal of Advances in Modeling Earth Systems, 12, e2019MS001891.
• Seiki, T., Kodama, C., Satoh, M., Hashino, T., Hagihara, Y., Okamoto, H., 2015: Vertical grid spacing necessary for simulating tropical cirrus clouds with a high-resolution AGCM. Geophys. Res. Lett., 42, 4150-4157, doi:10.1002/2015GL064282 (2015/05/06).
• Seiki, T., Kodama, C., Noda, A. T., Satoh, M., 2015: Improvements in global cloud-system resolving simulations by using a double-moment bulk cloud microphysics scheme. J. Climate, 28, 2405-2419, http://dx.doi.org/10.1175/JCLI-D-14-00241.1 .
• Seiki, T., Satoh, M., Tomita, H., Nakajima, T., 2014: Simultaneous evaluation of ice cloud microphysics and non-sphericity of the cloud optical properties using hydrometeor video sonde and radiometer sonde in-situ observations. J. Geophys. Res. Atmos., 119, 6681-6701, doi:10.1002/2013JD021086.
• Roh, W., and Satoh, M., 2014: Evaluation of precipitating hydrometeor parameterizations in a single-moment bulk microphysics scheme for deep convective systems over the tropical open ocean. J. Atmos. Sci., 71, 2654-2673. http://dx.doi.org/10.1175/JAS-D-13-0252.1
• Seiki, T. and Nakajima, T., 2014: Aerosol Effects of the Condensation Process on a Convective Cloud Simulation. J. Atmos. Sci., 71, 833-853. http://dx.doi.org/10.1175/JAS-D-12-0195.1

• Yasunaga, K., T. Nasuno, H. Miura, Y. N. Takayabu, and M. Yoshizaki, 2013: Afternoon precipitation peak simulated in an aqua-planet global non-hydrostatic model (aqua-planet-NICAM). J. Meteor. Soc. Japan, 91A, 217-229. http://dx.doi.org/10.2151/jmsj.2013-A07
• Mapes, B., S. Tulich, T. Nasuno, and M. Satoh, 2008: Predictability aspects of global aqua-planet simulations with explicit convection. J. Meteor. Soc. Japan, 86A, 175-185.
• Nasuno, T., 2008: Equatorial mean zonal wind in a global nonhydrostatic aquaplanet experiment. J. Meteor. Soc. Japan, 86A, 219-236. (C) Copyright 2008, Meteorological Society of Japan (MSJ). Permission has been provided by MSJ to place a copy of the articles on this server. MSJ will not guarantee that the copy provided here is an accurate one published in the Journal.
• Nasuno, T., Tomita, H., Iga, S., Miura, H., Satoh, M., 2007 : Multi-scale organization of convection simulated with explicit cloud processes on an aquaplanet. J. Atmos. Sci., 64, 1902-1921.
• Miura, H., Tomita,H., Nasuno,T., Iga, S., Satoh,M., and Matsuno, T. (2005) : A climate sensitiviy test using a global cloud resolving model under an aqua planet condition. Geophys. Res. Lett., 32, L19717, doi:1029/2005GL023672.
• Tomita, H, Miura, H., Iga, S., Nasuno, T., and Satoh,M. (2005) : A global cloud-resolving simulation: preliminary results from an aqua planet experiment. Geophys. Res. Lett., vol.32, L08805, doi:10.1029/2005GL022459.

• Taniguchi, H., W. Yanase, M. Satoh, 2010: Ensemble simulation of cyclone Nargis by a Global Cloud-system-resolving Model – modulation of cyclogenesis by the Madden-Julian Oscillation. J. Meteor. Soc. Japan, 88, 571-591.
• Miura, H., M. Satoh, T., and M. Katsumata, 2009: Spontaneous onset of a Madden-Julian oscillation event in a cloud-system-resolving simulation. Geophys. Res. Lett., 36, L13802, doi:10.1029/2009GL039056.
• Oouchi, K., A.T. Noda, M. Satoh, H. Miura, H. Tomita. T. Nasuno, S. Iga (2009): A simulated preconditioning of typhoon genesis controlled by a boreal summer Madden-Julian Oscillation event in a global cloud-system-resolving model. SOLA, Vol. 5, 065-068, doi:10.2151/sola.2009-017.
• Liu, P., M. Satoh, B. Wang, H. Fudeyasu, T. Nasuno, T. Li, H. Miura, H. Taniguchi, H. Masunaga, X. Fu, and H. Annamalai, 2009: A MJO Simulated by the NICAM at 14-km and 7-km Resolutions. Mon. Wea. Rev., 137, 3254-3268, DOI: 10.1175/2009MWR2965.1.
• Nasuno,T., H. Miura, H., M. Satoh, A. T. Noda, and K. Oouchi, 2009: Multi-scale organization of convection in a global numerical simulation of the December 2006 MJO event using explicit moist processes. J. Meteor. Soc. Japan, 87, 335-345. (C) Copyright 2009, Meteorological Society of Japan (MSJ). Permission has been provided by MSJ to place a copy of the articles on this server. MSJ will not guarantee that the copy provided here is an accurate one published in the Journal.
• Masunaga, H., Satoh, M., Miura, H. (2008) : A Joint Satellite and Global Cloud-Resolving Model Analysis of a Madden-Julian Oscillation event: Model Diagnosis. J. Geophys. Res.,113, D17210, doi:10.1029/2008JD009986.
• Satoh, M. (2008) : Numerical simulations of heavy rainfalls by a global cloud-resolving model. J. Disaster Research, 3, 33-38.
• Miura,H., Satoh, M., Nasuno, T., Noda, A.T., Oouchi, K. (2007): A Madden-Julian Oscillation event realistically simulated by a global cloud-resolving model. Science, 318, 1763-1765.

• Oouchi, K., M. Satoh, and W. Mashiko., 2012: Tropical cyclone research with numerical models -Current status and future prospect. Kisyo-kenkyu Note. Meteorological Society of Japan (in Japanese), in press.
• H. Fudeyasu, Y. Wang, M. Satoh, T. Nasuno, H. Miura,and W. Yanase, 2010 : Multiscale interactions in the life cycle of a tropical cyclone simulated in a global cloud-system-resolving Model Part I: Large-scale and storm-scale evolutions. Mon. Wea. Rev., 138, 4285-4304.
• H. Fudeyasu, Y. Wang, M. Satoh, T. Nasuno, H. Miura,and W. Yanase, 2010 : Multiscale interactions in the life cycle of a tropical cyclone simulated in a global cloud-system-resolving model. Part II: System-scale and mesoscale processes. Mon. Wea. Rev., 137, 3254-3268.
• Emanuel, K., K. Oouchi, M. Satoh, H. Tomita and Y. Yamada, 2010 : Comparison of Explicitly Simulated and Downscaled Tropical Cyclone Activity in a High-Resolution Global Climate Model, J. Adv. Model. Earth Syst., Vol. 2, Art. #9, 9 pp., doi:10.3894/JAMES.2010.2.9.
• Taniguchi, H., W. Yanase, M. Satoh, 2010: Ensemble simulation of cyclone Nargis by a Global Cloud-system-resolving Model – modulation of cyclogenesis by the Madden-Julian Oscillation. J. Meteor. Soc. Japan, 88, 571-591.
• Yanase, W., H. Taniguchi, M. Satoh, 2010: The genesis of tropical cyclone Nargis (2008): Environmental modulation and numerical predictability. J. Meteor. Soc. Japan, 88, 497-519.
• Yamada, Y., K. Oouchi, M. Satoh, H. Tomita and W. Yanase, 2010: Projection of changes in tropical cyclone activity and cloud height due to greenhouse warming: global cloud-system-resolving approach. Geophys. Res. Lett., 37, L07709, doi:10.1029/2010GL042518.
• Oouchi, K., A.T. Noda, M. Satoh, H. Miura, H. Tomita. T. Nasuno, S. Iga (2009): A simulated preconditioning of typhoon genesis controlled by a boreal summer Madden-Julian Oscillation event in a global cloud-system-resolving model. SOLA, Vol. 5, 065-068, doi:10.2151/sola.2009-017.
• Fudeyasu, H., Y. Wang, M. Satoh, T. Nasuno, H. Miura, and W. Yanase, 2008: The global cloud-system-resolving model NICAM successfully simulated the lifecycles of two real tropical cyclones. Geophys. Res. Lett., 35, L22808, doi:10.1029/2008GL0360033.
• Miura, H., Masaki Satoh, Hirofumi Tomita, Tomoe Nasuno, Shin-ichi Iga, and Akira T. Noda (2007) : A short-duration global cloud-resolving simulation with a realistic land and sea distribution. Geophys. Res. Lett., 34, L02804, doi:10.1029/2006GL027448

• Taniguchi, H., W. Yanase, M. Satoh, 2010: Ensemble simulation of cyclone Nargis by a Global Cloud-system-resolving Model – modulation of cyclogenesis by the Madden-Julian Oscillation. J. Meteor. Soc. Japan, 88, 571-591.
• Oouchi, K.,A. T. Noda, M. Satoh, B. Wang, S.-P. Xie, H.G. Takahashi, T. Yasunari (2009): Asian summer monsoon simulated by a global cloud-system-resolving model: Diurnal to intra-seasonal variability. Geophys. Res. Lett.,36, L11815, doi:10.1029/2009GL038271.

• Dim, J. R., T. Y. Nakajima, T. Takamura, and N. Kikuchi, 2012: Comparison between Satellite Water Vapour Observations and Atmospheric Models’ Predictions of the Upper Tropospheric Thermal Radiation. Advances in Meteorology, 2011, https://doi.org/10.1155/2011/872857.
• Suzuki, K., G. L. Stephens, S. C. van den Heever, and T. Y. Nakajima, 2011: Diagnosis of the warm rain process in cloud-resolving models using joint CloudSat and MODIS observations. J. Atmos. Sci., 68, 2655-2670.
• Nasuno,T and M. Satoh, 2011: Properties of precipitation and in-cloud vertical motion in a global nonhydrostatic aquaplanet experiment. J. Meteor. Soc. Japan, 89, 413-439.
• Noda, A. T., K. Oouchi, M Satoh, H. Tomita, S. Iga, and Y. Tsushima, 2010: Importance of the subgrid-scale turbulent moist process: Cloud distribution in global cloud-resolving simulations. Atmos. Res., 96(2-3), 208-217, doi:10.1016/j.atmosres.2009.05.007.
• Sato, T., H. Miura, M. Satoh, Y. N. Takayabu, Y. Wang, 2009: Diurnal cycle of precipitation in the tropics simulated in a global cloud-resolving model, J. Climate, 22, 4809-4826; DOI:10.1175/2009JCLI2890.1.
• Suzuki, K., and G. L. Stephens (2009): Relationship between radar reflectivity and the time scale of warm rain formation in a global cloud-resolving model. Atmos. Res., doi:10.1016/j.atmosres.2008.12.010.
• Suzuki, K., T. Nakajima, M. Satoh, H. Tomita, T. Takemura, T. Y. Nakajima, and G. L. Stephens (2008): Global cloud-system-resolving simulation of aerosol effect on warm clouds. Geophys. Res. Lett., 35, L19817, doi:10.1029/2008GL035449.
• Satoh, M., T. Nasuno, H. Miura, H. Tomita, S. Iga, Y. Takayabu (2008) : Precipitation statistics comparison between global cloud resolving simulation with NICAM and TRMM PR data. High Resolution Numerical Modelling of the Atmosphere and Ocean, edited by Wataru Ohfuchi and Kevin Hamilton, 99-112, ISBN-13: 978-0387366715, 293pp.

• Suzuki, K., G. L. Stephens, S. C. van den Heever, and T. Y. Nakajima, 2011: Diagnosis of the warm rain process in cloud-resolving models using joint CloudSat and MODIS observations. J. Atmos. Sci., 68, 2655-2670.
• Inoue, T., Satoh, M., Hagihara, Y., Miura, H., and Schmetz, J., 2010: Comparison of high‐level clouds represented in a global cloud system-resolving model with CALIPSO/CloudSat and geostationary satellite observations, J. Geophys. Res., 115, D00H22, doi:10.1029/2009JD012371.
• Noda, A. T., K. Oouchi, M Satoh, H. Tomita, S. Iga, and Y. Tsushima, 2010: Importance of the subgrid-scale turbulent moist process: Cloud distribution in global cloud-resolving simulations. Atmos. Res., 96(2-3), 208-217, doi:10.1016/j.atmosres.2009.05.007.
• Collins, W. D., Satoh, M. 2009: Simulating Global Clouds, Past, Present, and Future. Chap 20 of “Heintzenberg, J., and R. J. Charlson, eds. 2009. Clouds in the Perturbed Climate System: Their Relationship to Energy Balance, Atmospheric Dynamics, and Precipitation.” Struengmann Forum Report, vol. 2. Cambridge, MA: The MIT Press, pp.469-486.
• Quaas, J. S. Bony, W. D. Collins, L. Donner, A. Illingworth, A. Jones, U. Lohmann, M. Satoh, S. E. Schwartz,W.-K. Tao, and R. Wood, 2009: Current understanding and quantification of clouds in the changing climate system and strategies for reducing critical uncertainties. Chap 24 of “Heintzenberg, J., and R. J. Charlson, eds. 2009. Clouds in the Perturbed Climate System: Their Relationship to Energy Balance, Atmospheric Dynamics, and Precipitation.” Struengmann Forum Report, vol. 2. Cambridge, MA: The MIT Press, pp.557-573.
• Satoh, M., Matsuda, Y. (2009) : Statistics on high-cloud areas and their sensitivities to cloud microphysics using single-cloud experiments. J. Atmos. Sci., 66, 2659-2677.
• Suzuki, K., T. Nakajima, M. Satoh, H. Tomita, T. Takemura, T. Y. Nakajima, and G. L. Stephens (2008): Global cloud-system-resolving simulation of aerosol effect on warm clouds. Geophys. Res. Lett., 35, L19817, doi:10.1029/2008GL035449.
• Tomita, H. (2008b) : New microphysical schemes with five and six categories by diagnostic generation of cloud ice. J. Meteor. Soc. Japan, 86A, 121-142.
• Sato, T., T. Yoshikane, M. Satoh, H. Miura, and H. Fujinami (2008) : Resolution dependency of the diurnal cycle of convective clouds over the Tibetan Plateau in a mesoscale model. J. Meteor. Soc. Japan, 86A, 17-31.
• Inoue,T., M. Satoh, H. Miura, B. Mapes (2008) : Characteristics of cloud size of deep convection simulated by a global cloud resolving model over the western tropical Pacific. J. Meteor. Soc. Japan, 86A, 1-15.
• Satoh, M. (2008) : Numerical simulations of heavy rainfalls by a global cloud-resolving model. J. Disaster Research, 3, 33-38.
• Sato, T., Miura, H., Satoh, M. (2007) : Spring diurnal cycle of clouds over Tibetan Plateau: global cloud-resolving simulations and satellite observations. Geophys. Res. Lett., 34, L18816, doi:10.1029/2007GL030782

• Collins, W. D., Satoh, M. 2009: Simulating Global Clouds, Past, Present, and Future. Chap 20 of “Heintzenberg, J., and R. J. Charlson, eds. 2009. Clouds in the Perturbed Climate System: Their Relationship to Energy Balance, Atmospheric Dynamics, and Precipitation.” Struengmann Forum Report, vol. 2. Cambridge, MA: The MIT Press, pp.469-486.
• Quaas, J. S. Bony, W. D. Collins, L. Donner, A. Illingworth, A. Jones, U. Lohmann, M. Satoh, S. E. Schwartz,W.-K. Tao, and R. Wood, 2009: Current understanding and quantification of clouds in the changing climate system and strategies for reducing critical uncertainties. Chap 24 of “Heintzenberg, J., and R. J. Charlson, eds. 2009. Clouds in the Perturbed Climate System: Their Relationship to Energy Balance, Atmospheric Dynamics, and Precipitation.” Struengmann Forum Report, vol. 2. Cambridge, MA: The MIT Press, pp.557-573.
• Suzuki, K., T. Nakajima, M. Satoh, H. Tomita, T. Takemura, T. Y. Nakajima, and G. L. Stephens (2008): Global cloud-system-resolving simulation of aerosol effect on warm clouds. Geophys. Res. Lett., 35, L19817, doi:10.1029/2008GL035449.
• Iga, S., H. Tomita, Y. Tsushima, M. Satoh (2007) : Climatology of a nonhydrostatic global model with explicit cloud processes. Geophys. Res. Lett., 34, L22814, doi:10.1029/2007GL031048.

• Kodama C., A. T. Noda, and M. Satoh, An Assessment of the cloud signals simulated by NICAM using ISCCP, CALIPSO, and CloudSat satellite simulators, J. Geophys. Res, doi:10.1029/2011JD017317.
• Dim, J. R., T. Y. Nakajima, T. Takamura, and N. Kikuchi, 2012: Comparison between Satellite Water Vapour Observations and Atmospheric Models’ Predictions of the Upper Tropospheric Thermal Radiation. Advances in Meteorology, 2011, https://doi.org/10.1155/2011/872857.
• Yanase, W., H. Taniguchi, M. Satoh, 2010: The genesis of tropical cyclone Nargis (2008): Environmental modulation and numerical predictability. J. Meteor. Soc. Japan, 88, 497-519.
• Satoh, M., Inoue, T., and Miura, H., 2010: Evaluations of cloud properties of global and local cloud system resolving models using CALIPSO and CloudSat simulators, J. Geophys. Res., 115, D00H14, doi:10.1029/2009JD012247.
• Inoue, T., Satoh, M., Hagihara, Y., Miura, H., and Schmetz, J., 2010: Comparison of high‐level clouds represented in a global cloud system-resolving model with CALIPSO/CloudSat and geostationary satellite observations, J. Geophys. Res., 115, D00H22, doi:10.1029/2009JD012371.
• Noda, A. T., K. Oouchi, M Satoh, H. Tomita, S. Iga, and Y. Tsushima, 2010: Importance of the subgrid-scale turbulent moist process: Cloud distribution in global cloud-resolving simulations. Atmos. Res., 96(2-3), 208-217, doi:10.1016/j.atmosres.2009.05.007.

• Suzuki, K., G. L. Stephens and M. D. Lebsock, 2013: Aerosol effect on the warm rain formation process: Satellite observations and modeling. J. Geophys. Res. Atmos., 118, 170-184. http://dx.doi.org/10.1002/jgrd.50043
• Suzuki, K., T. Nakajima, M. Satoh, H. Tomita, T. Takemura, T. Y. Nakajima, and G. L. Stephens (2008): Global cloud-system-resolving simulation of aerosol effect on warm clouds. Geophys. Res. Lett., 35, L19817, doi:10.1029/2008GL035449.

• Oouchi, K., H. Taniguchi, T. Nasuno, M. Satoh, H. Tomita, Y. Yamada, M. Ikeda, R. Shirooka, H. Yamada, K. Yoneyama, 2012: A prototype quasi real-time intra-seasonal forecasting of tropical convection over the warm pool region: a new challenge of global cloud-system-resolving model for a field campaign. Nova Science Publishers, Inc., Eds. K. Oouchi and H. Fudeyasu, pp.233-248.