2023 Fiscal Year Final Research Report
Challenges in developing new computational schemes and parameterizations for high-resolution climate models
Project Area | Challenge to the new generation cloud-resolving climate simulation |
Project/Area Number |
20H05731
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Research Category |
Grant-in-Aid for Transformative Research Areas (B)
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Allocation Type | Single-year Grants |
Review Section |
Transformative Research Areas, Section (II)
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Research Institution | The University of Tokyo |
Principal Investigator |
Masumoto Yukio 東京大学, 大学院理学系研究科(理学部), 教授 (60222436)
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Co-Investigator(Kenkyū-buntansha) |
河合 佑太 国立研究開発法人理化学研究所, 計算科学研究センター, 特別研究員 (50836434)
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Project Period (FY) |
2020-10-02 – 2023-03-31
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Keywords | 高解像度気候モデル / 高精度全球力学コア / 不連続ガラーキン法 / 対流自己組織化 / 放射対流平衡 / スーパーパラメタリゼーション / 赤道ケルビン波 |
Outline of Final Research Achievements |
A new dynamical core for global atmospheric models based on the discontinuous Galerkin method is developed as the basic research on a new high-precision discretization method. Moist processes and cloud microphysics are incorporated experimentally into the new model, and the model is also expanded to a pan-planetary fluid model. The perspective of information entropy was incorporated to understand the moist convection processes, particularly focusing on the self-aggregation process. A new stochastic lattice model was also developed to better represent moist convection processes, which can be understood as the phase transition between the moist and dry conditions. A new superparameterization method, with a special treatment in the interactions between the parent and child models, was developed. It turns out that the better representation of atmospheric equatorial Kelvin waves in the new model is caused by improved vertical profile of heating associated with high altitude precipitation.
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Free Research Field |
気候力学、物理海洋学
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Academic Significance and Societal Importance of the Research Achievements |
本研究で得られた成果は、次世代の新たな気候モデルや汎惑星流体モデルの構築に不可欠な基礎的理解を深化させ、現実的設定での実装への大きなステップとなる。特に、汎惑星流体モデルは惑星大気や惑星海洋を統一的に理解するために不可欠なモデルとなることが期待される。また、従来の研究では手薄であったパラメタリゼーションの物理機構に踏み込んだ理解を進めたことにより、従来型の気候モデルに対しても改良の指針を提供する成果を得ており、気候モデルの高度化という視点での学術的意義は大きい。
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