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Strong Relationship between Eye Radius and Radius of Maximum Wind of Tropical Cyclones

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Title: Strong Relationship between Eye Radius and Radius of Maximum Wind of Tropical Cyclones
Authors: Tsukada, Taiga Browse this author
Horinouchi, Takeshi Browse this author →KAKEN DB
Keywords: Atmosphere
Tropical cyclones
Measurements
Microwave observations
Remote sensing
Satellite observations
Issue Date: Feb-2023
Publisher: American Meteorological Society
Journal Title: Monthly Weather Review
Volume: 151
Issue: 2
Start Page: 569
End Page: 588
Publisher DOI: 10.1175/MWR-D-22-0106.1
Abstract: Estimation of the radius of maximum wind (RMW) of tropical cyclone (TC) is helpful for the disaster preven-tion and mitigation. If RMWs are estimated from infrared (IR) imagery taken by geostationary meteorological satellites, their estimation is available densely in time, regardless of the ocean basin. Kossin et al. showed that when TCs have clear eyes, the eye radii estimated from IR images have a high correlation with the RMW estimated from aircraft reconnaissance. The regres-sion of the former onto that latter was shown to have a mean absolute error (MAE) of 4.7 km. We revisit the IR-based RMW estimation by using C-band synthetic aperture radar (SAR) sea surface wind estimates. The criteria for selecting clear-eye cases are simplified. The MAE of the Kossin et al. method is found to be smaller than previously suggested: 3.1 km when the proposed relation is used and 2.7 km when the regression is revised with the SAR-measured RMWs. We further propose an improvement of the IR-based method to estimate the eye radii. The resultant MAE is shown to be 1.7 km, which indicates that the IR-based RMW estimation is more accurate than has been suggested. A strong correlation between eyewall slope and eye size is confirmed. We also investigated cloud features in the eye that may be closely related to RMW and wind structure around RMW. Potential applications of highly accurate RMW estimation are discussed.SIGNIFICANCE STATEMENT: The radius of maximum wind (RMW) of tropical cyclone (TC) is an important factor for TC intensity estimation and disaster prevention. A previous study suggested that the RMWs of TCs with clear eyes can be estimated from geostationary satellite images at a mean absolute error (MAE) of 4.7 km. Here we im-proved the method, reducing the MAE by more than one-half. Since the method does not require aircraft or satellite in low Earth orbit, it helps TC monitoring at high frequency. The method can also improve initialization of models used to predict TC hazards and further our physical understanding and the climatology of the wind structures near the centers of TCs.
Type: article
URI: http://hdl.handle.net/2115/89033
Appears in Collections:環境科学院・地球環境科学研究院 (Graduate School of Environmental Science / Faculty of Environmental Earth Science) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)

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