Tab. 1

Basic information of landfall typhoons in the coastal area of Guangdong during 2008-2017"

Fig. 1

Wavelet transformation results of RPS. Panel a shows the original brightness temperature data sequence. Panels b-d show the results of the 2/4/6 order after wavelet separation, with black curve representing the results of wavelet separation of the original data. Panels e—g show the results of subtraction of 2/4/6 order detail and 7th order scale, with red curve representing the relative difference between the results of wavelet decomposition"

Fig. 2

Correspondence between RPS time series curves and typhoon landfall times. Panel a shows the 25 landfall typhoon strengths in the coast of Guangdong and the RPS time series curves for six regions. Panel b shows wavelet spectra of bands 1-3 in Shanwei. Panel c shows wavelet spectra of bands 4-6 in Shanwei"

Fig. 3

RPS evolution of a typical typhoon “Hato” in the coastal area of Guangdong. Panels a-h show the typical RPS distribution of typhoon development process. The date is the actual date used to obtain the RPS. The date in red indicates the date of landfall, the red line indicates the typhoon path, and the RPS is in band 1. Panel d shows the super typhoon "Hato" made landfall in Taishan on Aug 23, 2017"

Fig. 4

RPS evolution of a typical typhoon “Linfa” in the coastal area of Guangdong. Panels a-h show the typical RPS distribution of typhoon development process. The date is the actual date used to obtain the RPS. The date in red indicates the date of landfall, the red line indicates the typhoon path, and the RPS is in band 1. Panel d shows the super typhoon “Linfa” made landfall Lufeng on Jul 09, 2015"

Fig. 5

RPS evolution of a low-intensity tropical cyclone “Hagibis” in the coastal area of Guangdong. Panels a-f show the typical RPS distribution of typhoon development process. The date is the actual date used to obtain the RPS. The date in red indicates the date of landfall, the red line indicates the typhoon path, and the RPS is in band 5. "Hagibis" made landfall in Shantou on Jun 15, 2014"

Fig. 6

RPS anomalies in different frequency ranges. Panels a-f show the typical RPS distribution of typhoon development process. The date is the actual date used to obtain the RPS. The date in red indicates the date of landfall, and the red line indicates the typhoon path. The numbers 1B-6B indicate bands 1-6 of the RPS. The typhoon made landfall in Wuchuan on Jul 22, 2010"

Fig. 7

Comprehensive information on RPS anomalies of the 25 landfall typhoons along the Guangdong coastal area. All the RPS in these insets correspond to the band of the maximum area/intensity on the landfall day. Notation of “2008-10-04, Haigaos” indicates the typhoon landfall date, and typhoon name"

Fig. 8

Comparison of RPS time series curves of three typhoons. In panel a, the curve of the RPS maximum value after landfall is superimposed. In panel b, the curve before landfall is superimposed. Panel c shows the typical typhoon that landed in Yangxi on Jun 23, 2011. Panel d shows the typhoon landed in Xuwen on Jul 18, 2014, whose time series curve is not obvious on the landfall day. Panel e shows the typhoon that landed in Zhanjiang on Jun 02, 2013, and its time series curve did not increase significantly on the landfall day. Notations 1B-6B refer to the RPS of bands 1 to 6"