Project/Area Number |
20J21462
|
Research Category |
Grant-in-Aid for JSPS Fellows
|
Allocation Type | Single-year Grants |
Section | 国内 |
Review Section |
Basic Section 17020:Atmospheric and hydrospheric sciences-related
|
Research Institution | Tohoku University |
Principal Investigator |
王 心月 東北大学, 理学研究科, 特別研究員(DC1)
|
Project Period (FY) |
2020-04-24 – 2023-03-31
|
Project Status |
Granted (Fiscal Year 2022)
|
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)
|
Keywords | deep neural network / Deep neural network / Cloud retrieval / Himawari-8 |
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.
|
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.
|
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.
|
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.
|
Report
(2 results)
Research Products
(2 results)