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Typhoon Cloud System Identification and Forecasting Using the Feng-Yun 4AAdvanced Geosynchronous Radiation Imager Based on an Improved Fuzzy Clustering and Optical Flow Method
Joint Authors
Wang, Gen
Wang, Dongyong
Han, Wei
Yin, Jian
Source
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-07-31
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
This study adopted an improved fuzzy clustering and optical flow method for the multiscale identification and forecasting of a cloud system based on the cloud images from a 10.8-micron infrared channel of the Advanced Geosynchronous Radiation Imager.
First, we used the locally constrained fuzzy c-means (FCM) clustering method to identify typhoon-dominant cloud systems.
Second, we coupled the background field-constrained optical flow method with the semi-Lagrangian scheme to forecast typhoon-dominant cloud systems.
The experimental results for Typhoon Maria showed that the improved FCM method was able to effectively identify changes in the cloud system while retaining its edge information through the effective removal of the offset field.
The identified dominant cloud system was consistent with the precipitation field of the Global Precipitation Measurement mission.
We optimized the semi-Lagrangian nonlinear extrapolation of the optical flow field by introducing background field information, thus improving the forecast accuracy of the optical flow field.
Based on the assessment indicators of structural similarity, normalized mutual information, peak signal-to-noise ratio, relative standard deviation, and root mean square error, the forecast results demonstrated that the forecast effect of the background field-constrained optical flow method was better than that of the standard optical flow method.
American Psychological Association (APA)
Wang, Gen& Wang, Dongyong& Han, Wei& Yin, Jian. 2019. Typhoon Cloud System Identification and Forecasting Using the Feng-Yun 4AAdvanced Geosynchronous Radiation Imager Based on an Improved Fuzzy Clustering and Optical Flow Method. Advances in Meteorology،Vol. 2019, no. 2019, pp.1-11.
https://search.emarefa.net/detail/BIM-1118705
Modern Language Association (MLA)
Wang, Gen…[et al.]. Typhoon Cloud System Identification and Forecasting Using the Feng-Yun 4AAdvanced Geosynchronous Radiation Imager Based on an Improved Fuzzy Clustering and Optical Flow Method. Advances in Meteorology No. 2019 (2019), pp.1-11.
https://search.emarefa.net/detail/BIM-1118705
American Medical Association (AMA)
Wang, Gen& Wang, Dongyong& Han, Wei& Yin, Jian. Typhoon Cloud System Identification and Forecasting Using the Feng-Yun 4AAdvanced Geosynchronous Radiation Imager Based on an Improved Fuzzy Clustering and Optical Flow Method. Advances in Meteorology. 2019. Vol. 2019, no. 2019, pp.1-11.
https://search.emarefa.net/detail/BIM-1118705
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1118705