2022 Fiscal Year Annual Research Report
| Project/Area Number |
20J21462
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| Research Institution | Tohoku University |
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| Research Fellow |
王 心月 東北大学, 理学研究科, 特別研究員(DC1)
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| Project Period (FY) |
2020-04-24 – 2023-03-31
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| Keywords | Cloud properties |
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| Outline of Annual Research Achievements |
In this year, we applied the cloud properties, that retrieved by our newly developed deep neural network model, to a case study of convections over the south China coastal area (SCCA). The cloud properties are analysed for SCCA offshore and inland regions respectively and different diurnal features are found for these two regions. The obtained results also suggest the inner-structures and type of convection may differ over the offshore and inland regions of SCCA due to the orthography and the background meteorological fields of this coastal area. A convection tracking algorithm is utilized to obtain parameters such as size, location, and duration time of convections. In this study, we provide a new workflow for convection / cloud system investigation by combining new techniques, and the findings can be helpful to future studies, especially these on model validation.
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| Research Progress Status |
令和4年度が最終年度であるため、記入しない。
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| Strategy for Future Research Activity |
令和4年度が最終年度であるため、記入しない。
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