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A generalized beta-advection model to improve unusual typhoon track prediction by decomposing total flow into climatic and anomalous flows
Using a novel approach of decomposing total flow into climatic and anomalous flows, we have developed a generalized beta‐advection model to improve unusual typhoon track prediction within 2–3 days. Typhoon Megi (2010) that experienced an unusual path is first used to introduce this model. Differing...
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Published in: | Journal of geophysical research. Atmospheres 2014-02, Vol.119 (3), p.1097-1117 |
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Main Authors: | , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Using a novel approach of decomposing total flow into climatic and anomalous flows, we have developed a generalized beta‐advection model to improve unusual typhoon track prediction within 2–3 days. Typhoon Megi (2010) that experienced an unusual path is first used to introduce this model. Differing from the conventional beta‐advection model (BAM) in (i) decomposing the total flow into the climatic and anomalous flows and considering their interaction and (ii) taking the layer of minimum divergence anomaly and maximum vorticity anomaly instead of any average layers done by, for example, the shallow BAM, the medium BAM, and the deep BAM, this model is a combination of the climatic‐flow BAM and the anomalous‐flow BAM. In this paper, 19 cases of sudden right‐turning typhoon and 10 cases of straight‐moving typhoon in the South China Sea are studied to examine this model's capability. Results show that 15 right‐turning and 10 straight‐moving cases were successfully predicted by this combination model.
Key Points
A GBAM is used to improve unusual typhoon track prediction
Physical decomposition method |
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ISSN: | 2169-897X 2169-8996 |
DOI: | 10.1002/2013JD020902 |