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Presentation
2024. 12. 11
Yuta Kawai, Hirofumi Tomita : Development of high-order
atmospheric dynamical core using discontinuous Galerkin method considering global LES , AGU24 Annual Meeting
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Presentation(Invited)
2024. 12. 9
Shin-ichiro Shima, Wojciech Grabowski, Sylwester Arabas, Kamal Kant Chandrakar, Piotr Dziekan, Fabian Hoffmann, Emily de Jong, Hugh Morrison, Axel Seifert , Simon Unterstrasser : Progress and Prospects of Lagrangian Particle-Based Cloud Modeling , AGU24 Annual Meeting
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Publication (peer-reviewed)
2024. 9. 12
Ruyi Zhang, Limin Zhou, Shin-ichiro Shima, Huawei Yang : Preliminary evaluation of the effect of electro-coalescence with conducting sphere approximation on the formation of warm cumulus clouds using SCALE-SDM version 0.2.5–2.3.0, Geoscientific Model Development , 17(17) 6761–6774, 2024, DOI : https://doi.org/10.5194/gmd-17-6761-2024
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Manhal Alhilali, Shin-ichiro Shima, Soumya Samanta, Thara Prabhakaran : Development and Comparative Study of the Super-Droplet Method for Analyzing Microphysical Characteristics of Deep Convective Clouds During the Indian Summer Monsoon, International Conference on Clouds and Precipitation 2024
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Anu Gupta, Runa Taniguchi, Shin-Ichiro Shima, Akihiro Hashimoto : Assessment of Coastal Orographic Snow Cloud Microphysics : Super-Droplet Method and Process Tracking Bulk Scheme Method, International Conference on Clouds and Precipitation 2024
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Presentation(Invited)
2024. 7. 15
Thara Prabhakaran : Microphysics of Convective Clouds : Progress on the Understanding and Challenges, International Conference on Clouds and Precipitation 2024
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Sachiho A. Adachi, Seiya Nishizawa, Yousuke Sato, Shin-ichiro Shima, Hirofumi Tomita : Comparison of influences between microphysics schemes and resolution on uncertainty of simulation results in heavy-precipitation cases, The 9th Global Energy and Water Exchanges Open Science Conference 2024
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Yousuke Sato, Mitsuteru Sato, Masaru Inatsu, Sho Kawazoe, Eiichi Yoshikawa, Syugo Hayashi, Mizuo Kajino, Atsushi Nagao, Yumiko Yamashita, Takashi Ikeda : Overview of the numerical studies for the lightning and relating phenomena, the lightning prediction and the lightning in future by using a bulk lightning model coupled with a meteorological model, The 9th Global Energy and Water Exchanges Open Science Conference 2024
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Publication (peer-reviewed)
2024. 7. 5
Chongzhi Yin, Shin-ichiro Shima, Lulin Xue, Chunsong Lu : Simulation of marine stratocumulus using the super-droplet method: numerical convergence and comparison to a double-moment bulk scheme using SCALE-SDM 5.2.6-2.3.1, Geoscientific Model Development , 17(13) 5167–5189, 2024, DOI : https://doi.org/10.5194/gmd-17-5167-2024
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Publication (peer-reviewed)
2024. 6. 28
Hugh Morrison, Kamal Kant Chandrakar, Shin-Ichiro Shima, Piotr Dziekan, Wojciech W. Grabowski : Impacts of Stochastic Coalescence Variability on Warm Rain Initiation Using Lagrangian Microphysics in Box and Large-Eddy Simulations, Journal of the Atmospheric Sciences , 81(6)1067-1093, 2024, DOI : https://doi.org/10.1175/JAS-D-23-0132.1
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Seiya Nishizawa : Extracting latent variables from forecast ensembles and advancements in similarity metric utilizing optimal transport, The 15th International Meeting on Statistical Climatology
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Hirofumi Tomita, Yuta Kawai : Why should we upgrade the dynamic core now?, Workshop on Global Storm-Resolving Analysis Bridging Atmospheric and Cloud Dynamics
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Yuta Kawai, Hirofumi Tomita : Development of a global atmospheric dynamical core using discontinuous Galerkin method : Introduction to a turbulent model and validation experiment, Japan Geoscience Union Meeting 2024
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Sho Kawazoe, Yousuke Sato : Investigating the uncertainties in future lightning frequency using convective-permitting climate simulations, Japan Geoscience Union Meeting 2024
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Publication (peer-reviewed)
2024. 5. 10
Seiya Nishizawa : Extracting Latent Variables From Forecast Ensembles and Advancements in Similarity Metric Utilizing Optimal Transport, Journal of Geophysical Research : Machine Learning and Computation 1(2), 2024, DOI : https://doi.org/10.1029/2023JH000112
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Yuta Kawai, Ren Xuanzhengbo, Takahiro Katagiri, Seiya Nishizawa, Hirofumi Tomita : Development of an atmospheric model using discontinuous Galerkin method : Evaluation of the computational performance on A64FX, 16th JLESC Workshop
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Presentation(Invited)
2024. 3. 15
Shin-ichiro Shima, Kotaro Enokido : Simulation of Pi chamber warm/mixed-phase experiments using the super-droplet method, 5th International Workshop on Cloud Turbulence, NiTech 2024, Japan
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Presentation(Invited)
2024. 3. 15
Yu Kim, Shin-ichiro Shima : Wake-induced CCN-activation behind precipitation particles and its implementation to the super-droplet method, 5th International Workshop on Cloud Turbulence, NiTech 2024, Japan
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Yuta Kawai, Hirofumi Tomita : Validation of a global atmospheric nonhydrostatic dynamical core using discontinuous Galerkin method, The 104th AMS Annual Meeting
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Presentation
2023. 12. 20
Seiya Nishizawa : Extracting latent variables from forecast ensembles advancements in similarity metric utilizing optimal transport, OIST-RIKEN Joint Workshop on Prediction Science
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Presentation
2023. 12. 14
Yousuke Sato, Takumi Tomioka, Syugo Hayashi, Satoru Yoshida, Takeshi Iwashita : Advantage of bulk lightning models for simulating lightning event over Japan, AGU Fall meeting 2023
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Presentation
2023. 12. 13
Yousuke Sato, Mizuo Kajino, Syugo Hayashi, Ryuichi Wada : A case study of lightning-induced NOx observed at the summit of Mt. Fuji using a bulk lightning model and photochemistry model, AGU Fall meeting 2023
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Presentation
2023. 12. 13
Sho Kawazoe, Yousuke Sato : Examining future changes in lightning frequency in Japan using a bulk lightning model, AGU Fall meeting 2023
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Publication (peer-reviewed)
2023. 11. 2
Toshiki Matsushima, Seiya Nishizawa, Shin-ichiro Shima : Overcoming computational challenges to realize meter- to submeter-scale resolution in cloud simulations using the super-droplet method, Geoscientific Model Development, 16(21), 6211-6245, DOI : https://doi.org/10.5194/gmd-16-6211-2023
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Publication (peer-reviewed)
2023. 10. 6
Takumi Tomioka ,Yousuke Sato, Syugo Hayashi, Satoru Yoshida, Takeshi Iwashita : Advantage of bulk lightning models for predicting lightning frequency over Japan, Progress in Earth and Planetary Science, 10 , Article number : 60 (2023), DOI : https://doi.org/10.1186/s40645-023-00592-w
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Junshi Ito, Hideaki Mouri : Large eddy simulation with a parameterization of fluctuating surface momentum fluxes, The 6th International Workshop on Nonhydrostatic Models
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Yuta Kawai, Hirofumi Tomita : Development of a global atmospheric nonhydrostatic dynamical core using discontinuous Galerkin method, The 6th International Workshop on Nonhydrostatic Models
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Yousuke Sato : Overview of bulk lightning model coupled with a Japanese community model SCALE, The 6th International Workshop on Nonhydrostatic Models
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Sho Kawazoe, Yousuke Sato : Preliminary investigation on the future changes in lightning frequency in Japan using a bulk lightning model, The 6th International Workshop on Nonhydrostatic Models
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Manhal Alhilali, Shin-ichiro Shima, Soumya Samanta, Thara Prabhakaran : Unraveling the Microphysics of Isolated Cumulonimbus Clouds : Advances in Simulation with the Super-Droplet Method (SDM), The 6th International Workshop on Nonhydrostatic Models
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Ruyi Zhang, Limin Zhou, Shin-ichiro Shima : Evaluation of the effect of electro-coalescence with conducting sphere approximation on the formation of warm cumulus cloud and stratocumulus cloud, The 6th International Workshop on Nonhydrostatic Models
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Yuta Kawai, Hirofumi Tomita : Development of an atmospheric nonhydrostatic dynamical core using the discontinuous Galerkin method : Consideration of topography, Japan Geoscience Union Meeting 2023
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Yousuke Sato, Mizuo Kajino, Syugo Hayashi, Ryuichi Wada : A numerical study of the lightning-induced nitrogen oxides by using a meteorological model coupled with a bulk lightning model and an offline chemical transport model, Part II : Suggestion from the simulation, Japan Geoscience Union Meeting 2023
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Shin-ichiro Shima : Recent progress of the super-droplet method, Global Storm-Resolving Modeling Mini Workshop
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Yuta Kawai, Hirofumi Tomita : A study discontinuous Galerkin method for atmospheric high-resolution simulations, Global Storm-Resolving Modeling Mini Workshop
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Publication (peer-reviewed)
2023. 5. 4
Yousuke Sato, Mizuo Kajino, Syugo Hayashi, Ryuichi Wada : A numerical study of lightning-induced NOx and formation of NOy observed at the summit of Mt. Fuji using an explicit bulk lightning and photochemistry model, Atmospheric Environment:X, vol.18, 100218 , DOI : https://doi.org/10.1016/j.aeaoa.2023.100218
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Publication (peer-reviewed)
2023. 3. 13
Yuta Kawai, Hirofumi Tomita : Numerical Accuracy Necessary for Large-Eddy Simulation of Planetary Boundary Layer Turbulence using Discontinuous Galerkin Method, Monthly Weather Review, 151(6), 1479-1508, DOI : https://doi.org/10.1175/MWR-D-22-0245.1
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Presentation(Invited)
2023. 3.1
Shin-ichiro Shima : Super-Droplet Method and its Application to Mixed-Phase Clouds, Batsheva de Rothschild Seminar on Cloud-Climate Interactions Across Scales
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Chongzhi Yin, Shin-ichiro Shima, Chunsong Lu, Lulin Xue : Simulation of Marine Stratocumulus Using the Super-Droplet Method : Numerical Convergence and Comparison to a Double-Moment Bulk Scheme, 103rd AMS Annual Meeting
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Yuta Kawai, Hirofumi Tomita : A Study on Numerical Accuracy of Dynamical Core Necessary for Large-Eddy Simulation of Planetary Boundary Layer Turbulence, 103rd AMS Annual Meeting
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Chongzhi Yin, Shin-ichiro Shima, Chunsong Lu, Lulin Xue : Simulation of Marine Stratocumulus Using the Super-Droplet Method : Numerical Convergence and Comparison to a Double-Moment Bulk Scheme, AGU Fall Meeting
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Presentation(Invited)
2022.11.24
Sachiho A. Adachi : Dynamical Downscaling Methods for Regional Climate Studies, No.7 Asian Conference on meteorology 2022
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Yuta Kawai, Hirofumi Tomita : Development of an atmospheric model using discontinuous Galerkin method : Inclusion of moist process, The MSJ 2022 Autumn Meeting
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Takumi Tomioka, Yousuke Sato, Shugo Hayashi : Performance of a bulk lightning model, The MSJ 2022 Autumn Meeting
