2021 Fiscal Year Annual Research Report
| Project/Area Number |
20J21462
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| Research Institution | Tohoku University |
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Principal Investigator |
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 | deep neural network |
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| Outline of Annual Research Achievements |
In this year, we developed a cloud retrieval model for the Himawari-8 infrared measurements, based on a deep neural network. The model has high accuracy when validated with the the active remote sensing datasets, it performs much better than physics-based retrieval models and can provide near-real time estimate of cloud properties such as cloud top height, cloud optical thickness, and cloud mask, which can be realistically applied to severe weather monitoring and mesoscale studies.
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| Current Status of Research Progress |
Current Status of Research Progress
2: Research has progressed on the whole more than it was originally planned.
Reason
The research progressed as expected and the obtained results are satisfying.
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| Strategy for Future Research Activity |
In the future, the cloud properties retrieved by the newly developed model will be applied to case studies to investigate synoptic phenomena and reveal corresponding mechanisms.
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