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Frontiers of Earth Science

ISSN 2095-0195

ISSN 2095-0209(Online)

CN 11-5982/P

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2018 Impact Factor: 1.205

Front. Earth Sci.    2024, Vol. 18 Issue (2) : 312-323    https://doi.org/10.1007/s11707-022-1064-4
Changes of tropical cyclone size in three oceanic basins of the northern hemisphere from 2001 to 2021
Banglin ZHANG1,2(), Jeremy Cheuk-Hin LEUNG1, Shengyuan LIU1,3, Jianjun XU4
1. Guangzhou Institute of Tropical and Marine Meteorology/Guangdong Provincial Key Laboratory of Regional Numerical Weather Prediction, CMA, Guangzhou 510640, China
2. College of Atmospheric Science, Lanzhou University, Lanzhou 730020, China
3. College of Ocean and Meteorology, Guangdong Ocean University, Zhanjiang 524088, China
4. CMA-GDOU Joint Laboratory for Marine Meteorology & South China Sea Institute of Marine Meteorology, Guangdong Ocean University, Zhanjiang 524088, China
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Abstract

In this study the changes of tropical cyclone (TC) size from 2001 to 2021 are analyzed based on linear and quadratic curve fittings of the National Hurricane Center (NHC) / Joint Typhoon Warning Center (JTWC) best track data, based on the radius of maximum wind (RMW) and the average radius of 34-kt wind (AR34), in three oceanic basins of the North Atlantic (NATL), the Western North Pacific (WPAC) and the Eastern North Pacific (EPAC). The computations are done separately for two categories of tropical cyclones: tropical storms (TS) and hurricanes (HT). Size changes of landfalling and non-landfalling TCs are also discussed. Results show that there is a great inter-basin variability among the changes in TC sizes. Major conclusions include: 1) overall, the inner cores of TSs have become larger in all three basins, with the increasing tendencies being significant in the NATL and WAPC, while those of HTs mostly get smaller or remain similar; 2) meanwhile, comparatively large inter-basin differences are observed for the TC outer core sizes, and the sizes of landfalling TCs; 3) particularly, a significant decrease in landfalling HT outer core size is observed over the EPAC; 4) in contrast, significant increases in landfalling TS inner core size are found over the NATL and WPAC. The presented analysis results could benefit future research about TC forecasts, storm surge studies, and the cyclone climate and its changes.

Keywords tropical cyclone      storm size      frequency      intensity      duration     
Corresponding Author(s): Banglin ZHANG   
Online First Date: 29 February 2024    Issue Date: 19 July 2024
 Cite this article:   
Banglin ZHANG,Jeremy Cheuk-Hin LEUNG,Shengyuan LIU, et al. Changes of tropical cyclone size in three oceanic basins of the northern hemisphere from 2001 to 2021[J]. Front. Earth Sci., 2024, 18(2): 312-323.
 URL:  
https://academic.hep.com.cn/fesci/EN/10.1007/s11707-022-1064-4
https://academic.hep.com.cn/fesci/EN/Y2024/V18/I2/312
Fig.1  Time series of the storm days (a) averaged over the three basins, and over the (b) NATL, (c) WPAC, and (d) EPAC from 2001 to 2021. The blue, red, and green solid curves indicate the TS, HT, and ALL storms, respectively. Dotted and dashed lines respectively show the best fit linear and quadratic tendencies. The linear tendency values are shown in the figure legends, with the asterisk (*) and hashtag (#) symbols denoting linear and quadratic fittings that are statistically significant with at least 90% confidence level.
Fig.2  Time series of the (a) RMW (unit: nm), (b) AR34 (unit: nm), (c) AreaMWR (unit: nm2), (d) AreaAR34 (unit: nm2), and (e) AreaAR34 (unit: nm2) from 2001 to 2021 averaged over the three basins. The blue, red, and green solid curves indicate the TS, HT, and ALL storms, respectively. Dotted and dashed lines respectively show the best fit linear and quadratic tendencies. The blue, red, and green bars indicate the sample sizes of the TS, HT, and ALL storms of each year. The linear trend tendencies are shown in the figure legends, with the asterisk (*) and hashtag (#) symbols denoting linear and quadratic fittings that are statistically significant with at least 90% confidence level.
Fig.3  (a)–(c) Time series of the RMW (unit: nm) from 2001 to 2021 over the (a) NATL, (b) WPAC and (c) EPAC, respectively. (d)–(f) Same as (a)–(c), except of the AreaMWR (unit: nm2). The blue, red, and green solid curves indicate the TS, HT, and ALL storms, respectively. Dotted and dashed lines respectively show the best fit linear and quadratic tendencies. The blue, red, and green bars indicate the sample sizes of the TS, HT, and ALL storms of each year. The linear tendency values are shown in the figure legends, with the asterisk (*) and hashtag (#) symbols denoting linear and quadratic fittings that are statistically significant with at least 90% confidence level.
Fig.4  (a)–(c) Time series of the AR34 (unit: nm) from 2001 to 2021 over the (a) NATL, (b) WPAC and (c) EPAC, respectively. (d)–(f) Same as (a)–(c), except of the AreaAR34 (unit: nm2). (g)–(i) Same as (a)–(c), except of the AreaAR34 (unit: nm2). The blue, red, and green solid curves indicate the TS, HT, and ALL storms, respectively. Dotted and dashed lines respectively show the best fit linear and quadratic tendencies. The blue, red, and green bars indicate the sample sizes of the TS, HT, and ALL storms of each year. The linear tendency values are shown in the figure legends, with the asterisk (*) and hashtag (#) symbols denoting linear and quadratic fittings that are statistically significant with at least 90% confidence level.
Fig.5  Time series of the (a) RMW (unit: nm), (b) AR34 (unit: nm), (c) AreaMWR (unit: nm2), (d) AreaAR34 (unit: nm2), and (e) AreaAR34 (unit: nm2) from 1988 to 2021 over the NATL. The blue, red, and green solid curves indicate the TS, HT, and ALL storms, respectively. Dotted and dashed lines respectively show the best fit linear and quadratic tendencies. The blue, red, and green bars indicate the sample sizes of the TS, HT, and ALL storms of each year. The linear tendency values are shown in the figure legends, with the asterisk (*) and hashtag (#) symbols denoting linear and quadratic fittings that are statistically significant with at least 90% confidence level. Results are based on the EBT data set.
Fig.6  Time series of the (a) AR50 (unit: nm), (b) AR34 (unit: nm), (c) AreaAR50 (unit: nm2), (d) AreaAR50 (unit: nm2), (e) AreaAR34 (unit: nm2), and (f) AreaAR34 (unit: nm2) from 1977 to 2020 over the WPAC. The blue, red, and green solid curves indicate the TS, HT, and ALL storms, respectively. Dotted and dashed lines respectively show the best fit linear and quadratic tendencies. The blue, red, and green bars indicate the sample sizes of the TS, HT, and ALL storms of each year. The linear tendency values are shown in the figure legends, with the asterisk (*) and hashtag (#) symbols denoting linear and quadratic fittings that are statistically significant with at least 90% confidence level. Results are based on the JMA RSMC best track data.
Fig.7  Same as Fig. 3, except for landfalling TCs only.
Fig.8  Same as Fig. 4, except for landfalling TCs only.
Fig.9  Same as Fig. 3, except for non-landfalling TCs only.
Fig.10  Same as Fig. 4, except for non-landfalling TCs only.
Fig.11  A scatter plot summarizing the linear tendencies of TC size over different basins from 2001 to 2021. Triangles, circles, and squares respectively denote TCs over the NATL, WPAC, and EPAC. Green, blue and red colors respectively denote ALL, TS, and HT. Solid circles denote all TCs without considering whether they make landfall, while centers filled with yellow and white colors respectively denote landfalling and non-landfalling TCs. Symbols with 100% opacity denote the tendencies of both AreaAR34 and AreaRMW are significant at the 90% confidence level; that with 50% opacity denote only one of the two linear tendencies is significant at the 90% confidence level; that with 10% opacity denote both linear tendencies are statistically insignificant.
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