| Project/Area Number |
20J21462
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| Research Category |
Grant-in-Aid for JSPS Fellows
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| Allocation Type | Single-year Grants |
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| Section | 国内 |
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| Review Section |
Basic Section 17020:Atmospheric and hydrospheric sciences-related
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| Research Institution | Tohoku University |
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Principal Investigator |
王 心月 (2020-2021) 東北大学, 理学研究科, 特別研究員(DC1)
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| Research Fellow |
王 心月 (2022) 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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| Project Status |
Discontinued (Fiscal Year 2022)
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| Budget Amount *help |
¥2,500,000 (Direct Cost: ¥2,500,000)
Fiscal Year 2022: ¥800,000 (Direct Cost: ¥800,000)
Fiscal Year 2021: ¥800,000 (Direct Cost: ¥800,000)
Fiscal Year 2020: ¥900,000 (Direct Cost: ¥900,000)
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| Keywords | Cloud properties / deep neural network / Deep neural network / Cloud retrieval / Himawari-8 |
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| Outline of Research at the Start |
In this study, the synoptic-scale variations of the regional Hadley cell will be first depicted and analyzed over the tropical area by utilizing observation and reanalysis data, especially from a meridional perspective. Then its modulation effect on the initialization and intensification of the tropical cyclones will be explored. During the conduction of this project, a dataset of the deep convective cloud will be generated with machine learning method. The developed algorithm can be expected to pioneer the satellite-based nighttime retrieval of deep cloud.
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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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