Nakanishi, M. and T. Michibata, 2025: How does cloud emissivity feedback affect present and future Arctic warming? Ocean-Land-Atmosphere Research, 4, 0089, doi:10.34133/olar.0089. [Link]
Duran, B. M., C. J. Wall, N. J. Lutsko, T. Michibata, P.-L. Ma, Y. Qin, M. L. Duffy, B. Medeiros, and M. Debolskiy, 2025: A new method for diagnosing effective radiative forcing from aerosol–cloud interactions in climate models, Atmos. Chem. Phys., 25, 2123-2146, doi:10.5194/acp-25-2123-2025. [Link]
Michibata, T., 2024b: Radiative effects of precipitation on the global energy budget and Arctic amplification, npj Clim. Atmos. Sci., 7, 136, doi:10.1038/s41612-024-00684-4. [Link]
Michibata, T., 2024a: Significant increase in graupel and lightning occurrence in a warmer climate simulated by prognostic graupel parameterization, Sci. Rep., 14, 3862, doi:10.1038/s41598-024-54544-5. [Link]
Beall, C. M., P.-L. Ma, M. W. Christensen, J. Mülmenstädt, A. Varble, K. Suzuki, and T. Michibata, 2024: Droplet collection efficiencies inferred from satellite retrievals constrain effective radiative forcing of aerosol–cloud interactions, Atmos. Chem. Phys., 24, 5287-5302, doi:10.5194/acp-24-5287-2024. [Link]
Schmidt, G., T. Andrews, S. E. Bauer, P. J. Durack, N. Loeb, V. Ramaswamy, N. P. Arnold, M. G. Bosilovich, J. Cole, L. W. Horowitz, G. C. Johnson, J. M. Lyman, B. Medeiros, T. Michibata, D. Olonscheck, D. Paynter, S. P. Raghuraman, M. Schulz, D. Takasuka, V. Tallapragada, P. C. Taylor, and T. Ziehn, 2023: CERESMIP: A climate modeling protocol to investigate recent trends in the Earth's Energy Imbalance, Front. Clim., 5, 1202161, doi:10.3389/fclim.2023.1202161. [Link]
Imura, Y., and T. Michibata, 2022: Too frequent and too light Arctic snow due to incorrect precipitation phase partitioning in the MIROC6 GCM, J. Adv. Model. Earth Syst., 14, e2022MS003046, doi:10.1029/2022MS003046. [Link]
Hirota, N., T. Michibata, H. Shiogama, T. Ogura, and K. Suzuki, 2022: Impacts of precipitation modeling on cloud feedback in MIROC6, Geophys. Res. Lett., 49, e2021GL096523, doi:10.1029/2021GL096523. [Link]
Michibata, T., K. Suzuki, and T. Takemura, 2020: Snow-induced buffering in aerosol–cloud interactions, Atmos. Chem. Phys., 20, 13771-13780, doi:10.5194/acp-20-13771-2020. [Link]
Michibata, T., and K. Suzuki, 2020: Reconciling compensating errors between precipitation constraints and the energy budget in a climate model, Geophys. Res. Lett., 47, e2020GL088340, doi:10.1029/2020GL088340. [Link]
Michibata, T., K. Suzuki, T. Ogura, and X. Jing, 2019: Incorporation of inline warm rain diagnostics into the COSP2 satellite simulator for process-oriented model evaluation, Geosci. Model Dev., 12, 4297-4307, doi:10.5194/gmd-12-4297-2019. [Link]
Michibata, T., K. Suzuki, M. Sekiguchi, and T. Takemura, 2019: Prognostic precipitation in the MIROC6-SPRINTARS GCM: Description and evaluation against satellite observations, J. Adv. Model. Earth Syst., 11, 839-860, doi:10.1029/2018MS001596. [Link]
Patel, N. P., R. Gautam, T. Michibata, and H. Gadhavi, 2019: Strengthened Indian summer monsoon precipitation susceptibility linked to dust-induced ice cloud modification, Geophys. Res. Lett., 46, 8431-8441, doi:10.1029/2018GL081634. [Link]
Jing, X., K. Suzuki, and T. Michibata, 2019: The key role of warm rain parameterization in determining the aerosol indirect effect in a global climate model, J. Climate, 32, 4409-4430, doi:10.1175/jcli-d-18-0789.1. [Link]
Sato, Y., D. Goto, T. Michibata, K. Suzuki, T. Takemura, H. Tomita, and T. Nakajima, 2018: Aerosol effects on cloud water amounts were successfully simulated by a global cloud-system resolving model, Nature Comm., 9, 985, doi:10.1038/s41467-018-03379-6. [Link]
Michibata, T., K. Suzuki, Y. Sato, and T. Takemura, 2016: The source of discrepancies in aerosol-cloud-precipitation interactions between GCM and A-Train retrievals, Atmos. Chem. Phys., 16, 15413-15424, doi:10.5194/acp-16-15413-2016. [Link]
Michibata, T., and T. Takemura, 2015: Evaluation of autoconversion schemes in a single model framework with satellite observations, J. Geophys. Res. Atmos., 120, 9570-9590, doi:10.1002/2015JD023818. [Link]
Michibata, T., K. Kawamoto, and T. Takemura, 2014: The effects of aerosols on water cloud microphysics and macrophysics based on satellite-retrieved data over East Asia and the North Pacific, Atmos. Chem. Phys., 14, 11935-11948, doi:10.5194/acp-14-11935-2014. [Link]
書籍・解説等
Michibata, T., 2023: Aerosol‒Cloud Interactions in the Climate System, In: Akimoto H., Tanimoto H. (eds) Handbook of Air Quality and Climate Change. Springer, Singapore, 1139–1180, doi:10.1007/978-981-15-2760-9_35. [Link]
MIROC6 AGCM document writing team (Authors: T. Ando, T. Higuchi, H. Hotta, T. Iwakiri, T. Jinno, K. Kino, Y. Takano, M. Toda, and K. Yamazaki; Supervisors: M. Chikira, T. Kodama, T. Michibata, H. Miura, T. Nitta, T. Ogura, F. Saito, M. Sekiguchi, T. Suzuki, K. Suzuki, H. Tatebe, M. Watanabe, S. Watanabe, and K. Yoshimura), 2021: Technical Report: Description of MIROC6 AGCM, UTokyo Repository, pp. 136, doi:10.15083/0002000180. [Link]
Michibata, T.: Aerosol-Cloud Interactions and Earth’s Energy Imbalance: Recent Key Findings and Implications. Japan Geoscience Union Meeting 2025, Chiba, Japan, 25-30 May, 2025. [Oral, Invited]
Michibata, T.: Radiative effects of precipitation on the simulated global precipitation and polar temperature. Aerosols, Clouds, Precipitation and Climate Workshop (ACPC2025), Chiba, Japan, 21-23 May, 2025. [Oral]
Watanabe S., and co-authors including Michibata, T.: Will SAI Alleviate Regional Hotspots from Asian Air Quality Regulations?. The 2025 Degrees Global Forum on SRM, Cape Town, South Africa, 12-16 May, 2025. [Poster]
Wall, C. J., D. Paynter, Y. Qin, M. Debolskiy, M. L. Duffy, T. Michibata, N. J. Lutsko, P.-L. Ma, B. Medeiros, J. R. Norris, T. Storelvmo, and M. Zhao: Decomposing Cloud Radiative Feedbacks by Cloud-Top Phase. EGU General Assembly 2025, Vienna, Austria, 27 April-2 May, 2025. [Oral]
Hirota, N., T. Michibata, Y. Yamagami, H. Tatebe, K. Suzuki, M. Watanabe, T. Kawasaki, T. Nitta, F. Saito, K. Ogochi, M. Sekiguchi, S. Watanabe, H. Shiogama, T. Ogura, T. Takemura, T. Ohno, M. Abe, K. Yoshimura, H. Kawai, M. Chikira, H. Yashiro, and D. Goto (Team MIROC): Development of MIROC7. Asian Conference on Meteorology 2024, Tsukuba, Japan, 18-20 Nov, 2024. [Oral]
Hirota, N., T. Michibata, Y. Yamagami, H. Tatebe, K. Suzuki, M. Watanabe, T. Kawasaki, T. Nitta, F. Saito, K. Ogochi, M. Sekiguchi, S. Watanabe, H. Shiogama, T. Ogura, T. Takemura, T. Ohno, M. Abe, K. Yoshimura, H. Kawai, M. Chikira, H. Yashiro, and D. Goto (Team MIROC): Development of the Model for Interdisciplinary Research on Climate version 7 (MIROC7). Japan Geoscience Union Meeting 2024, Chiba, Japan, 26-31 May, 2024. [Oral]
Charlotte M. B., P-L. Ma, M. W. Christensen, J. Mülmenstädt, A. Varble, K. Suzuki, and T. Michibata: Droplet collection efficiencies estimated from satellite retrievals constrain effective radiative forcing of aerosol-cloud interactions. AGU Fall Meeting 2023, San Francisco, USA, 11-15 December, 2023. [Oral]
Hirota, N., T. Michibata, Y. Yamagami, H. Tatebe, K. Suzuki, and M. Watanabe (Team MIROC): Development of MIROC7: Mean states, variability, and climate sensitivity. WCRP Open Science Conference 2023, Kigali, Rwanda, 23-27 October, 2023. [Poster]
Michibata, T. and K. Suzuki: Process representations of cloud and precipitation in MIROC6 with prognostic precipitation: Evaluation against A-Train observations. ICCP-GSRA Workshop 2023 jointly with The 2nd EarthCARE Modeling Workshop, Shizuoka, Japan, 27-29 March, 2023. [Oral, Invited]
Imura, Y., T. Michibata, and K. Suzuki: Evaluation of Arctic snowfall in MIROC with satellite observation and its link to cloud radiative effect. ICCP-GSRA Workshop 2023 jointly with The 2nd EarthCARE Modeling Workshop, Shizuoka, Japan, 27-29 March, 2023. [Poster]
Hirota, N., T. Michibata, H. Shiogama, T. Ogura, and K. Suzuki: Impacts of Precipitation Modeling on cloud response to global warming in MIROC6. CFMIP Meeting 2022, Seattle, USA, 19-22 July, 2022. [Oral]
Michibata, T., Y. Imura, H. Nakao, and K. Suzuki: Evaluation of cloud micro- and macrophysical properties in the MIROC6 with A-Train observations and COSP simulator. EarthCARE Workshop 2022, Online, 16-18 February, 2022. [Oral, Invited]
Michibata, T., Y. Imura, H. Nakao, and K. Suzuki: How does the treatment of precipitation in a climate model improve the representation of aerosol-cloud interactions? Tri-MIPathlon-3 Workshop 2021, Online, 1-3 December, 2021. [Poster]
Michibata, T., and Y. Imura: Revisiting an apples-to-apples comparison between model and observations using satellite simulator. CFMIP Meeting 2021, Online, 14-16 September, 2021. [Poster]
Michibata, T., K. Suzuki, and T. Takemura: Challenges in constraining cloud and precipitation susceptibilities to aerosols: Satellite observations and global climate models. JpGU-AGU Joint Meeting 2020, Online, 12-16 May, 2020. [Oral, Invited]
Michibata, T., K. Suzuki, and T. Takemura: Constraining responses of cloud and precipitation to aerosol perturbations: Satellite observations and global climate models. 100th AMS Annual Meeting 2020, Boston, USA, 12-16 January, 2020. [Oral, Invited]
Michibata, T., K. Suzuki, M. Sekiguchi, and T. Takemura: Prognostic precipitation in the MIROC6-SPRINTARS GCM: Improvements in aerosol-cloud-precipitation interactions. AGU Fall Meeting 2019, San Francisco, USA, 9-13 December, 2019. [Oral]
Suzuki, K., D. Goto, and T. Michibata: Process-based insight into precipitation susceptibility to aerosols in global models and satellite observations. AGU Fall Meeting 2019, San Francisco, USA, 9-13 December, 2019. [Poster]
Michibata, T., K. Suzuki, and T. Takemura: Reconciling a compensating error between precipitation process constraint and energy budget requirement. Earth CARE Workshop 2019, Fukuoka, Japan, 25-27 November, 2019. [Oral]
Suzuki, K., T. Michibata, and X. Jing: Significance of precipitation process in determining the aerosol indirect forcing. CFMIP Meeting 2019, Colorado, USA, 30 September - 4 October, 2019. [Poster]
Michibata, T., K. Suzuki, and T. Takemura: Prognostic precipitation in the MIROC6-SPRINTARS GCM: Improvements in precipitation and radiative properties. Aerosols, Clouds, Precipitation and Climate (ACPC) Workshop, Nanjing, China, 24-26 April, 2019. [Oral]
Michibata, T., K. Suzuki, and T. Takemura: Prognostic precipitation in the MIROC6-SPRINTARS GCM. 2019 Joint US-Japan Workshop on Climate change and Variability, Honolulu, USA, 5-6 March, 2019. [Oral]
Jing X., K. Suzuki, and T. Michibata: Decisive role of warm rain formation process in modulating aerosol indirect effect in a global climate model. AGU Fall Meeting 2018, Wasington D.C., USA, 10-14 December, 2018. [Oral]
Patel, N. P., T. Michibata, R. Gautam, and H. Gadhavi: Response of Indian summer monsoon variability to dust-ice cloud interaction. AGU Fall Meeting 2018, Wasington D.C., USA, 10-14 December, 2018. [Oral]
Michibata, T., T. Ogura, X. Jing, and K. Suzuki: Implementation of an inline diagnostic tool for warm rain statistics to COSP2 satellite simulator. CFMIP Meeting 2018, Colorado, USA, 16-19 October, 2018. [Poster]
Michibata, T., K. Suzuki, and T. Takemura: How does the treatment of rain in GCMs improve cloud susceptibility to aerosols? 15th Conference on Cloud Physics/15th Conference on Atmospheric Radiation, Vancouver, Canada, 09-13 July, 2018. [Poster]
Suzuki, K., X. Jing, and T. Michibata: Process-oriented versus energy-based constraints on aerosol-cloud interaction. 15th Conference on Cloud Physics/15th Conference on Atmospheric Radiation, Vancouver, Canada, 09-13 July, 2018. [Oral]
Michibata, T., K. Suzuki, and T. Takemura: How does the treatment of rain in GCMs improve aerosol-cloud-precipitation interactions?. Japan Geoscience Union Meeting 2018, Chiba, Japan, 20-24 May, 2018. [Oral]
Suzuki, K., T. Fujiwara, Y. Sato, D. Goto, and T. Michibata: Smaller susceptibility of precipitation onset to aerosols in a global cloud-resolving model. Japan Geoscience Union Meeting 2018, Chiba, Japan, 20-24 May, 2018. [Poster]
Jing, X., K. Suzuki, and T. Michibata: Impacts of warm rain formation process constraint on aerosol indirect effect in a GCM. Japan Geoscience Union Meeting 2018, Chiba, Japan, 20-24 May, 2018. [Poster]
Suzuki, K., X. Jing, and T. Michibata: Process-oriented versus energy-based constraints on cloud microphysics: Implication for aerosol-cloud interactions. 8th GEWEX Science Conference, Canmore, Canada, 6-11 May, 2018. [Oral]
Suzuki, K., Y. Sato, T. Takemura, T. Michibata, D. Goto, and E. Oikawa: Combined use of satellite observations and global models for reducing uncertainty in aerosol-cloud-climate interaction. AGU Fall Meeting 2017, New Orieans, USA, 11-15 December, 2017. [Oral]
Michibata, T., K. Suzuki, and T. Takemura: Untangling aerosol-cloud-precipitation interactions with a prognostic rain scheme applied in MIROC-SPRINTARS GCM. Asian Conference on Meteorology 2017, Busan, Korea, 23-24 October, 2017. [Oral]
Michibata, T., K. Suzuki, and T. Takemura: Improved representation of aerosol–cloud–precipitation interactions with a use of prognostic precipitation scheme in MIROC-SPRINTARS. 2017 CFMIP Meeting, Tokyo, Japan, 25-28 September, 2017. [Poster]
Suzuki, K., Y. Sato, T. Takemura, T. Michibata, and D. Goto: Significance of cloud and precipitation processes in aerosol effects on climate: Satellite observations and global modeling. 2017 CFMIP Meeting, Tokyo, Japan, 25-28 September, 2017. [Oral]
Sato, Y., H. Miura, H. Yashiro, D. Goto, T. Takemura, T. Michibata, K. Suzuki, and T. Nakajima: Suggestions from a global cloud system resolving simulation to global climate model -Transportation of black carbon aerosol to the Arctic-. JpGU-AGU Joint Meeting 2017, Chiba, Japan, 20-25 May, 2017. [Oral, Invited]
Michibata, T., K. Suzuki, Y. Sato, and T. Takemura: The source of discrepancies in cloud and precipitation susceptibilities between GCMs and A-Train retrievals. AGU Fall Meeting 2016, San Francisco, USA, 12-16 December, 2016. [Poster]
Michibata, T., and T. Takemura: Evaluation and development of cloud microphysical conversion processes in the MIROC-SPRINTARS with A-Train observations. The 17th International Conference on Clouds & Precipitation, Manchester, UK, 25-29 July, 2016. [Poster]
Michibata, T., and T. Takemura: Evaluation of autoconversion schemes and microphysical processes in the MIROC-SPRINTARS with satellite observations. AGU Fall Meeting 2015, San Francisco, USA, 14-18 December, 2015. [Poster]
Sato, Y., K. Suzuki, T. Michibata, H. Yashiro, D. Goto, T. M. Nagao, H. Tomita, and T. Nakajima: Impacts of the autoconversion scheme on the clouds as simulated by a global cloud system-resolving model: Regional variability of the impacts. AGU Fall Meeting 2015, San Francisco, USA, 14-18 December, 2015. [Poster]
Michibata, T., and T. Takemura: A study of cloud-to-rain conversion processes for warm cloud over East Asia and the North Pacific from A-Train observations. Asian Conference on Meteorology 2015, Kyoto, Japan, 26-27 October, 2015. [Oral]
Michibata, T., and T. Takemura: Evaluation of auto-conversion and accretion processes in the MIROC-SPRINTARS and future model improvement. The 14th International AeroCom Workshop, Frascati, Italy, 04-09 October, 2015. [Poster]
Michibata, T., and T. Takemura: Evaluation of microphysical conversion processes for warm rain in the MIROC-SPRINTARS with satellite observations. University Allied Virtual Laboratory 2015, Tokyo, Japan, 29 September - 01 October, 2015. [Oral]
Michibata, T., and T. Takemura: Sensitivity of clouds and precipitation to the auto-conversion and accretion schemes in the MIROC-SPRINTARS model. AGU Fall Meeting 2014, San Francisco, USA, 15-19 December, 2014. [Poster]
Takemura, T., T. Michibata, K. Suzuki, and K. Yumimoto: Application of EarthCARE data in climate models for studies on climate change and air pollution by aerosols. EarthCARE Workshop 2014, Tokyo, Japan, 19 September, 2014. [Oral]
Michibata, T., T. Takemura, and K. Kawamoto: The Effects of aerosols on water cloud physics over East Asia and the North Pacific. AOGS 11th Annual Meeting (AOGS2014), Royton Sapporo Hotel in Sapporo, Hokkaido, Japan, 28 July- 01 August, 2014. [Poster]
Imura, Y. and T. Michibata, 2022: Data for the publication "Too frequent and too light Arctic snowfall with incorrect precipitation phase partitioning in the MIROC6 GCM" (Version 1.1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.5977099
Michibata, T., and K. Suzuki, 2020: Data for the publication "Reconciling compensating errors between precipitation constraints and the energy budget in a climate model" (Version 1.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.3596222
Michibata, T., K. Suzuki, T. Ogura, and X. Jing, 2019: Data for the publication "Incorporation of inline warm rain diagnostics into the COSP2 satellite simulator for process-oriented model evaluation" (Version 1.0.0) [Data set]. Geoscientific Model Development. Zenodo. http://doi.org/10.5281/zenodo.3370823
Michibata, T., K. Suzuki, M. Sekiguchi, and T. Takemura, 2019: MIROC6-SPRINTARS Diagnostic/Prognostic Precipitation [Data set], Zenodo, doi:10.5281/zenodo.2584312, http://doi.org/10.5281/zenodo.2584312
公開ソフトウェア(DOI付与)
Michibata, T., K. Suzuki, T. Ogura, and X. Jing, 2019: Scripts for the publication "Incorporation of inline warm rain diagnostics into the COSP2 satellite simulator for process-oriented model evaluation" (Version 1.0.0) [Software]. Geoscientific Model Development. Zenodo. http://doi.org/10.5281/zenodo.1442468